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• FFMPEG Segfault Solutions

  - by Brentley_11

  I'm trying to convert a bunch of movies into h.264 mp4's using FFMPEG. These movies are sourced from various portable camcorders such as the Flip Mino HD and the Kodak ZI8. One issue I'm having with video from the ZI8 is it seems to be causing FFMPEG to segfault. Here is my command: ffmpeg -i 'XmasSailor720p60fps.MOV' -threads 2 -acodec libfaac -ab 96kb -vcodec libx264 -vpre hq -b 500kb -s 484x272 XmasSailor.mp4 Here is the output: FFmpeg version SVN-r20668, Copyright (c) 2000-2009 Fabrice Bellard, et al. built on Dec 2 2009 18:37:34 with gcc 4.2.4 (Ubuntu 4.2.4-1ubuntu4) configuration: --enable-libfaac --enable-libfaad --enable-libmp3lame --enable-libx264 --enable-gpl --enable-nonfree --enable-postproc --enable-pthreads --enable-shared libavutil 50. 5. 1 / 50. 5. 1 libavcodec 52.42. 0 / 52.42. 0 libavformat 52.39. 2 / 52.39. 2 libavdevice 52. 2. 0 / 52. 2. 0 libswscale 0. 7. 2 / 0. 7. 2 libpostproc 51. 2. 0 / 51. 2. 0 Seems stream 0 codec frame rate differs from container frame rate: 59.94 (60000/1001) -> 29.97 (30000/1001) Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'XmasSailor720p60fps.MOV': Duration: 00:00:05.37, start: 0.000000, bitrate: 12021 kb/s Stream #0.0(eng): Video: h264, yuv420p, 1280x720 [PAR 1:1 DAR 16:9], 11994 kb/s, 29.97 tbr, 90k tbn, 59.94 tbc Stream #0.1(eng): Audio: aac, 48000 Hz, stereo, s16, 128 kb/s Metadata major_brand : qt minor_version : 0 compatible_brands: qt comment : KODAK Zi8 Pocket Video Camera comment-eng : KODAK Zi8 Pocket Video Camera [libx264 @ 0x99e1020]using SAR=1/1 [libx264 @ 0x99e1020]using cpu capabilities: MMX2 SSE2Fast SSSE3 FastShuffle SSE4.1 Cache64 [libx264 @ 0x99e1020]profile High, level 2.1 Output #0, mp4, to 'XmasSailor.mp4': Stream #0.0(eng): Video: libx264, yuv420p, 484x272 [PAR 1:1 DAR 121:68], q=10-51, 500 kb/s, 30k tbn, 29.97 tbc Stream #0.1(eng): Audio: aac, 48000 Hz, stereo, s16, 96 kb/s Metadata comment : Encoded with the Statusfirm Video Transcoder Stream mapping: Stream #0.0 -> #0.0 Stream #0.1 -> #0.1 Press [q] to stop encoding [h264 @ 0x99de950]B picture before any references, skipping [h264 @ 0x99de950]decode_slice_header error [h264 @ 0x99de950]no frame! Error while decoding stream #0.0 [h264 @ 0x99de950]B picture before any references, skipping [h264 @ 0x99de950]decode_slice_header error [h264 @ 0x99de950]no frame! Error while decoding stream #0.0 frame= 20 fps= 0 q=13797729.0 size= 0kB time=0.66 bitrate= 0.6kbits/s frame= 39 fps= 37 q=13797729.0 size= 0kB time=1.30 bitrate= 0.3kbits/s frame= 48 fps= 30 q=33.0 size= 11kB time=0.10 bitrate= 903.0kbits/s frame= 58 fps= 27 q=31.0 size= 22kB time=0.43 bitrate= 421.0kbits/s frame= 67 fps= 25 q=29.0 size= 41kB time=0.73 bitrate= 462.6kbits/s frame= 75 fps= 23 q=29.0 size= 59kB time=1.00 bitrate= 486.7kbits/s frame= 83 fps= 22 q=29.0 size= 81kB time=1.27 bitrate= 521.9kbits/s frame= 90 fps= 21 q=29.0 size= 97kB time=1.50 bitrate= 530.1kbits/s frame= 98 fps= 20 q=29.0 size= 114kB time=1.77 bitrate= 526.9kbits/s frame= 106 fps= 20 q=29.0 size= 134kB time=2.04 bitrate= 537.7kbits/s frame= 114 fps= 19 q=29.0 size= 150kB time=2.30 bitrate= 533.7kbits/s frame= 122 fps= 19 q=29.0 size= 172kB time=2.57 bitrate= 547.8kbits/s frame= 130 fps= 19 q=29.0 size= 193kB time=2.84 bitrate= 557.5kbits/s frame= 136 fps= 18 q=29.0 size= 211kB time=3.04 bitrate= 570.0kbits/s frame= 144 fps= 18 q=29.0 size= 242kB time=3.30 bitrate= 599.5kbits/s frame= 152 fps= 17 q=30.0 size= 261kB time=3.57 bitrate= 598.6kbits/s frame= 157 fps= 15 q=-1.0 Lsize= 368kB time=5.21 bitrate= 579.3kbits/s video:302kB audio:61kB global headers:0kB muxing overhead 1.416371% [libx264 @ 0x99e1020]frame I:1 Avg QP:27.22 size: 8720 [libx264 @ 0x99e1020]frame P:48 Avg QP:25.15 size: 3759 [libx264 @ 0x99e1020]frame B:108 Avg QP:30.10 size: 1105 [libx264 @ 0x99e1020]consecutive B-frames: 0.6% 11.5% 28.8% 59.0% [libx264 @ 0x99e1020]mb I I16..4: 28.5% 47.6% 23.9% [libx264 @ 0x99e1020]mb P I16..4: 0.8% 1.3% 0.5% P16..4: 50.6% 17.7% 13.1% 0.0% 0.0% skip:15.9% [libx264 @ 0x99e1020]mb B I16..4: 0.2% 0.3% 0.1% B16..8: 44.0% 1.2% 2.6% direct: 5.1% skip:46.5% L0:45.5% L1:51.0% BI: 3.5% [libx264 @ 0x99e1020]final ratefactor: 23.51 [libx264 @ 0x99e1020]8x8 transform intra:49.9% inter:67.9% [libx264 @ 0x99e1020]direct mvs spatial:98.1% temporal:1.9% [libx264 @ 0x99e1020]coded y,uvDC,uvAC intra: 54.7% 76.1% 41.4% inter: 17.1% 24.4% 7.8% [libx264 @ 0x99e1020]i16 v,h,dc,p: 18% 52% 5% 25% [libx264 @ 0x99e1020]i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 12% 22% 9% 7% 10% 10% 9% 8% 13% [libx264 @ 0x99e1020]i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 13% 18% 8% 8% 10% 13% 10% 9% 12% [libx264 @ 0x99e1020]Weighted P-Frames: Y:10.4% [libx264 @ 0x99e1020]ref P L0: 60.2% 15.3% 11.0% 7.6% 5.2% 0.7% [libx264 @ 0x99e1020]ref B L0: 72.6% 15.6% 11.8% [libx264 @ 0x99e1020]kb/s:471.17 Segmentation fault I'm wondering if anyone else has ran into similar issues. I wasn't able to find anything helpful via Google. Another question I have is if anyone knows of a company that offers paid support for FFMPEG. Thank you for your time.

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• FFMPEG Segfault Solutions

  - by Brentley_11

  I'm trying to convert a bunch of movies into h.264 mp4's using FFMPEG. These movies are sourced from various portable camcorders such as the Flip Mino HD and the Kodak ZI8. One issue I'm having with video from the ZI8 is it seems to be causing FFMPEG to segfault. Here is my command: ffmpeg -i 'XmasSailor720p60fps.MOV' -threads 2 -acodec libfaac -ab 96kb -vcodec libx264 -vpre hq -b 500kb -s 484x272 XmasSailor.mp4 Here is the output: FFmpeg version SVN-r20668, Copyright (c) 2000-2009 Fabrice Bellard, et al. built on Dec 2 2009 18:37:34 with gcc 4.2.4 (Ubuntu 4.2.4-1ubuntu4) configuration: --enable-libfaac --enable-libfaad --enable-libmp3lame --enable-libx264 --enable-gpl --enable-nonfree --enable-postproc --enable-pthreads --enable-shared libavutil 50. 5. 1 / 50. 5. 1 libavcodec 52.42. 0 / 52.42. 0 libavformat 52.39. 2 / 52.39. 2 libavdevice 52. 2. 0 / 52. 2. 0 libswscale 0. 7. 2 / 0. 7. 2 libpostproc 51. 2. 0 / 51. 2. 0 Seems stream 0 codec frame rate differs from container frame rate: 59.94 (60000/1001) -> 29.97 (30000/1001) Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'XmasSailor720p60fps.MOV': Duration: 00:00:05.37, start: 0.000000, bitrate: 12021 kb/s Stream #0.0(eng): Video: h264, yuv420p, 1280x720 [PAR 1:1 DAR 16:9], 11994 kb/s, 29.97 tbr, 90k tbn, 59.94 tbc Stream #0.1(eng): Audio: aac, 48000 Hz, stereo, s16, 128 kb/s Metadata major_brand : qt minor_version : 0 compatible_brands: qt comment : KODAK Zi8 Pocket Video Camera comment-eng : KODAK Zi8 Pocket Video Camera [libx264 @ 0x99e1020]using SAR=1/1 [libx264 @ 0x99e1020]using cpu capabilities: MMX2 SSE2Fast SSSE3 FastShuffle SSE4.1 Cache64 [libx264 @ 0x99e1020]profile High, level 2.1 Output #0, mp4, to 'XmasSailor.mp4': Stream #0.0(eng): Video: libx264, yuv420p, 484x272 [PAR 1:1 DAR 121:68], q=10-51, 500 kb/s, 30k tbn, 29.97 tbc Stream #0.1(eng): Audio: aac, 48000 Hz, stereo, s16, 96 kb/s Metadata comment : Encoded with the Statusfirm Video Transcoder Stream mapping: Stream #0.0 -> #0.0 Stream #0.1 -> #0.1 Press [q] to stop encoding [h264 @ 0x99de950]B picture before any references, skipping [h264 @ 0x99de950]decode_slice_header error [h264 @ 0x99de950]no frame! Error while decoding stream #0.0 [h264 @ 0x99de950]B picture before any references, skipping [h264 @ 0x99de950]decode_slice_header error [h264 @ 0x99de950]no frame! Error while decoding stream #0.0 frame= 20 fps= 0 q=13797729.0 size= 0kB time=0.66 bitrate= 0.6kbits/s frame= 39 fps= 37 q=13797729.0 size= 0kB time=1.30 bitrate= 0.3kbits/s frame= 48 fps= 30 q=33.0 size= 11kB time=0.10 bitrate= 903.0kbits/s frame= 58 fps= 27 q=31.0 size= 22kB time=0.43 bitrate= 421.0kbits/s frame= 67 fps= 25 q=29.0 size= 41kB time=0.73 bitrate= 462.6kbits/s frame= 75 fps= 23 q=29.0 size= 59kB time=1.00 bitrate= 486.7kbits/s frame= 83 fps= 22 q=29.0 size= 81kB time=1.27 bitrate= 521.9kbits/s frame= 90 fps= 21 q=29.0 size= 97kB time=1.50 bitrate= 530.1kbits/s frame= 98 fps= 20 q=29.0 size= 114kB time=1.77 bitrate= 526.9kbits/s frame= 106 fps= 20 q=29.0 size= 134kB time=2.04 bitrate= 537.7kbits/s frame= 114 fps= 19 q=29.0 size= 150kB time=2.30 bitrate= 533.7kbits/s frame= 122 fps= 19 q=29.0 size= 172kB time=2.57 bitrate= 547.8kbits/s frame= 130 fps= 19 q=29.0 size= 193kB time=2.84 bitrate= 557.5kbits/s frame= 136 fps= 18 q=29.0 size= 211kB time=3.04 bitrate= 570.0kbits/s frame= 144 fps= 18 q=29.0 size= 242kB time=3.30 bitrate= 599.5kbits/s frame= 152 fps= 17 q=30.0 size= 261kB time=3.57 bitrate= 598.6kbits/s frame= 157 fps= 15 q=-1.0 Lsize= 368kB time=5.21 bitrate= 579.3kbits/s video:302kB audio:61kB global headers:0kB muxing overhead 1.416371% [libx264 @ 0x99e1020]frame I:1 Avg QP:27.22 size: 8720 [libx264 @ 0x99e1020]frame P:48 Avg QP:25.15 size: 3759 [libx264 @ 0x99e1020]frame B:108 Avg QP:30.10 size: 1105 [libx264 @ 0x99e1020]consecutive B-frames: 0.6% 11.5% 28.8% 59.0% [libx264 @ 0x99e1020]mb I I16..4: 28.5% 47.6% 23.9% [libx264 @ 0x99e1020]mb P I16..4: 0.8% 1.3% 0.5% P16..4: 50.6% 17.7% 13.1% 0.0% 0.0% skip:15.9% [libx264 @ 0x99e1020]mb B I16..4: 0.2% 0.3% 0.1% B16..8: 44.0% 1.2% 2.6% direct: 5.1% skip:46.5% L0:45.5% L1:51.0% BI: 3.5% [libx264 @ 0x99e1020]final ratefactor: 23.51 [libx264 @ 0x99e1020]8x8 transform intra:49.9% inter:67.9% [libx264 @ 0x99e1020]direct mvs spatial:98.1% temporal:1.9% [libx264 @ 0x99e1020]coded y,uvDC,uvAC intra: 54.7% 76.1% 41.4% inter: 17.1% 24.4% 7.8% [libx264 @ 0x99e1020]i16 v,h,dc,p: 18% 52% 5% 25% [libx264 @ 0x99e1020]i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 12% 22% 9% 7% 10% 10% 9% 8% 13% [libx264 @ 0x99e1020]i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 13% 18% 8% 8% 10% 13% 10% 9% 12% [libx264 @ 0x99e1020]Weighted P-Frames: Y:10.4% [libx264 @ 0x99e1020]ref P L0: 60.2% 15.3% 11.0% 7.6% 5.2% 0.7% [libx264 @ 0x99e1020]ref B L0: 72.6% 15.6% 11.8% [libx264 @ 0x99e1020]kb/s:471.17 Segmentation fault I'm wondering if anyone else has ran into similar issues. I wasn't able to find anything helpful via Google. Another question I have is if anyone knows of a company that offers paid support for FFMPEG. Thank you for your time.

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• FFmpeg creates emtpy (black) frames

  - by resamsel

  I have a set of images from a timelapse shot (172 JPG files) that I want to convert into a movie. I tried several parameters with FFmpeg, but all I get is a video with black frames (though it has the expected length). ffmpeg -f image2 -vcodec mjpeg -y -i img_%03d.jpg timelapse2.mpg The command above creates this video: http://sdm-net.org/data/timelapse2.mpg What I'm expecting is something like this (created with Time Lapse Assembler.app): https://vimeo.com/39038362 - This is my fallback option, but I'd really like to create timelapse movies from a script. I'm on OSX Lion (10.7.3) with FFmpeg version (0.10) installed via Homebrew. I also tried to find a proper version of mencoder for OSX, but this doesn't seem to be an easy task. Also, ImageMagick's convert doesn't seem to work nicely, it creates really bad output and it seems there's not much I can do about it... Edit: With libx264 and an mp4 container: ffmpeg -f image2 -y -i img_%03d.jpg -vcodec libx264 timelapse4.mp4 Output: ffmpeg version 0.10 Copyright (c) 2000-2012 the FFmpeg developers built on Mar 26 2012 13:47:02 with clang 3.0 (tags/Apple/clang-211.12) configuration: --prefix=/usr/local/Cellar/ffmpeg/0.10 --enable-shared --enable-gpl --enable-version3 --enable-nonfree --enable-hardcoded-tables --enable-libfreetype --cc=/usr/bin/clang --enable-libx264 --enable-libfaac --enable-libmp3lame --enable-librtmp --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libxvid --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libass --disable-ffplay libavutil 51. 34.101 / 51. 34.101 libavcodec 53. 60.100 / 53. 60.100 libavformat 53. 31.100 / 53. 31.100 libavdevice 53. 4.100 / 53. 4.100 libavfilter 2. 60.100 / 2. 60.100 libswscale 2. 1.100 / 2. 1.100 libswresample 0. 6.100 / 0. 6.100 libpostproc 52. 0.100 / 52. 0.100 Input #0, image2, from 'img_%03d.jpg': Duration: 00:00:06.88, start: 0.000000, bitrate: N/A Stream #0:0: Video: mjpeg, yuvj420p, 3888x2592 [SAR 72:72 DAR 3:2], 25 fps, 25 tbr, 25 tbn, 25 tbc [buffer @ 0x7f8ec9415f20] w:3888 h:2592 pixfmt:yuvj420p tb:1/1000000 sar:72/72 sws_param: [libx264 @ 0x7f8ec981d800] using SAR=1/1 [libx264 @ 0x7f8ec981d800] frame MB size (243x162) > level limit (36864) [libx264 @ 0x7f8ec981d800] MB rate (984150) > level limit (983040) [libx264 @ 0x7f8ec981d800] using cpu capabilities: MMX2 SSE2Fast SSSE3 FastShuffle SSE4.2 AVX [libx264 @ 0x7f8ec981d800] profile High, level 5.1 [libx264 @ 0x7f8ec981d800] 264 - core 120 - H.264/MPEG-4 AVC codec - Copyleft 2003-2011 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to 'timelapse4.mp4': Metadata: encoder : Lavf53.31.100 Stream #0:0: Video: h264 (![0][0][0] / 0x0021), yuvj420p, 3888x2592 [SAR 72:72 DAR 3:2], q=-1--1, 25 tbn, 25 tbc Stream mapping: Stream #0:0 -> #0:0 (mjpeg -> libx264) Press [q] to stop, [?] for help frame= 172 fps= 18 q=-1.0 Lsize= 259kB time=00:00:06.80 bitrate= 312.3kbits/s video:256kB audio:0kB global headers:0kB muxing overhead 1.089647% [libx264 @ 0x7f8ec981d800] frame I:1 Avg QP: 9.60 size:212820 [libx264 @ 0x7f8ec981d800] frame P:43 Avg QP:30.50 size: 291 [libx264 @ 0x7f8ec981d800] frame B:128 Avg QP:31.00 size: 285 [libx264 @ 0x7f8ec981d800] consecutive B-frames: 0.6% 0.0% 1.7% 97.7% [libx264 @ 0x7f8ec981d800] mb I I16..4: 22.5% 77.2% 0.3% [libx264 @ 0x7f8ec981d800] mb P I16..4: 0.0% 0.0% 0.0% P16..4: 0.0% 0.0% 0.0% 0.0% 0.0% skip:100.0% [libx264 @ 0x7f8ec981d800] mb B I16..4: 0.0% 0.0% 0.0% B16..8: 0.0% 0.0% 0.0% direct: 0.0% skip:100.0% L0: 1.2% L1:98.8% BI: 0.0% [libx264 @ 0x7f8ec981d800] 8x8 transform intra:77.2% inter:100.0% [libx264 @ 0x7f8ec981d800] coded y,uvDC,uvAC intra: 41.2% 23.4% 0.6% inter: 0.0% 0.0% 0.0% [libx264 @ 0x7f8ec981d800] i16 v,h,dc,p: 40% 25% 35% 1% [libx264 @ 0x7f8ec981d800] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 36% 32% 30% 1% 0% 0% 0% 0% 0% [libx264 @ 0x7f8ec981d800] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 51% 40% 6% 1% 1% 0% 1% 0% 1% [libx264 @ 0x7f8ec981d800] i8c dc,h,v,p: 60% 21% 19% 0% [libx264 @ 0x7f8ec981d800] Weighted P-Frames: Y:0.0% UV:0.0% [libx264 @ 0x7f8ec981d800] ref P L0: 92.3% 0.0% 0.0% 7.7% [libx264 @ 0x7f8ec981d800] ref B L0: 50.0% 0.0% 50.0% [libx264 @ 0x7f8ec981d800] ref B L1: 99.4% 0.6% [libx264 @ 0x7f8ec981d800] kb/s:304.49 Output timelapse4.mp4 (beacause of spam protection I can only post two links with my reputation): http sdm-net.org/data/timelapse4.mp4

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• Screen Casting using ffmpeg (too fast)

  - by rowman

  I can use ffmpeg to make screen casts: ffmpeg -f x11grab -s 1280x800 -i :0.0 -c:v libx264 -framerate 30 -r 30 -crf 18 out.mkv However the output comes out to be too fast paced. It also happens with GTK RecordMyDesktop if I enable the encode on the fly. So, the questions is how to get a normal video pace. Also in order to capture the sound with ffmpeg what option should be used? FFmpeg Output: ffmpeg -f x11grab -s 1280x800 -r 30 -i :0.0 -c:v libx264 -framerate 30 -r 30 -crf 18 out.mkv ffmpeg version N-35162-g87244c8 Copyright (c) 2000-2012 the FFmpeg developers built on Oct 7 2012 15:56:19 with gcc 4.6 (Ubuntu/Linaro 4.6.3-1ubuntu5) configuration: --enable-gpl --enable-libfaac --enable-libfdk-aac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-librtmp --enable-libtheora --enable-libvorbis --enable-libvpx --enable-x11grab --enable-libx264 --enable-nonfree --enable-version3 libavutil 51. 73.102 / 51. 73.102 libavcodec 54. 64.100 / 54. 64.100 libavformat 54. 29.105 / 54. 29.105 libavdevice 54. 3.100 / 54. 3.100 libavfilter 3. 19.102 / 3. 19.102 libswscale 2. 1.101 / 2. 1.101 libswresample 0. 16.100 / 0. 16.100 libpostproc 52. 1.100 / 52. 1.100 [x11grab @ 0xab896a0] device: :0.0 -> display: :0.0 x: 0 y: 0 width: 1280 height: 800 [x11grab @ 0xab896a0] shared memory extension found [x11grab @ 0xab896a0] Estimating duration from bitrate, this may be inaccurate Input #0, x11grab, from ':0.0': Duration: N/A, start: 1350136942.608988, bitrate: 983040 kb/s Stream #0:0: Video: rawvideo (BGR[0] / 0x524742), bgr0, 1280x800, 983040 kb/s, 30 tbr, 1000k tbn, 30 tbc [libx264 @ 0xab87320] using cpu capabilities: MMX2 SSE2Fast SSSE3 Cache64 SlowCTZ SlowAtom [libx264 @ 0xab87320] profile High 4:4:4 Predictive, level 3.2, 4:4:4 8-bit [libx264 @ 0xab87320] 264 - core 128 r2 198a7ea - H.264/MPEG-4 AVC codec - Copyleft 2003-2012 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=18.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, matroska, to 'out.mkv': Metadata: encoder : Lavf54.29.105 Stream #0:0: Video: h264, yuv444p, 1280x800, q=-1--1, 1k tbn, 30 tbc Stream mapping: Stream #0:0 -> #0:0 (rawvideo -> libx264) Press [q] to stop, [?] for help frame= 10 fps=0.0 q=0.0 size= 1kB time=00:00:00.00 bitrate= 0.0kbits/sframe= 19 fps= 17 q=0.0 size= 1kB time=00:00:00.00 bitrate= 0.0kbits/sframe= 28 fps= 17 q=0.0 size= 1kB time=00:00:00.00 bitrate= 0.0kbits/sframe= 37 fps= 17 q=0.0 size= 1kB time=00:00:00.00 bitrate= 0.0kbits/sframe= 45 fps= 16 q=0.0 size= 1kB time=00:00:00.00 bitrate= 0.0kbits/sframe= 47 fps= 14 q=0.0 size= 1kB time=00:00:00.00 bitrate= 0.0kbits/sframe= 52 fps= 13 q=24.0 size= 257kB time=00:00:00.00 bitrate=2101632.0kbiframe= 55 fps= 12 q=24.0 size= 257kB time=00:00:00.10 bitrate=20808.2kbitsframe= 59 fps= 11 q=24.0 size= 289kB time=00:00:00.23 bitrate=10145.0kbitsframe= 64 fps= 11 q=24.0 size= 289kB time=00:00:00.40 bitrate=5894.7kbits/frame= 70 fps= 11 q=24.0 size= 289kB time=00:00:00.60 bitrate=3933.1kbits/frame= 72 fps= 10 q=24.0 size= 289kB time=00:00:00.66 bitrate=3549.2kbits/frame= 77 fps=9.8 q=24.0 size= 289kB time=00:00:00.83 bitrate=2837.7kbits/frame= 80 fps=9.6 q=24.0 size= 289kB time=00:00:00.93 bitrate=2533.5kbits/frame= 85 fps=9.3 q=24.0 size= 289kB time=00:00:01.10 bitrate=2146.9kbits/frame= 89 fps=9.3 q=24.0 size= 289kB time=00:00:01.23 bitrate=1917.1kbits/frame= 92 fps=9.1 q=24.0 size= 289kB time=00:00:01.33 bitrate=1773.3kbits/frame= 96 fps=9.0 q=24.0 size= 289kB time=00:00:01.46 bitrate=1612.4kbits/frame= 99 fps=8.8 q=24.0 size= 321kB time=00:00:01.56 bitrate=1676.8kbits/frame= 104 fps=8.7 q=24.0 size= 321kB time=00:00:01.73 bitrate=1515.2kbits/frame= 109 fps=5.3 q=24.0 Lsize= 1093kB time=00:00:03.56 bitrate=2511.5kbits/s video:1092kB audio:0kB subtitle:0 global headers:0kB muxing overhead 0.120198% [libx264 @ 0xab87320] frame I:3 Avg QP:18.93 size:142610 [libx264 @ 0xab87320] frame P:43 Avg QP:20.79 size: 15751 [libx264 @ 0xab87320] frame B:63 Avg QP:23.75 size: 195 [libx264 @ 0xab87320] consecutive B-frames: 21.1% 1.8% 11.0% 66.1% [libx264 @ 0xab87320] mb I I16..4: 50.0% 21.1% 28.9% [libx264 @ 0xab87320] mb P I16..4: 6.1% 0.9% 3.2% P16..4: 5.5% 1.2% 0.6% 0.0% 0.0% skip:82.5% [libx264 @ 0xab87320] mb B I16..4: 0.4% 0.1% 0.0% B16..8: 2.9% 0.1% 0.0% direct: 0.0% skip:96.5% L0:40.7% L1:57.0% BI: 2.3% [libx264 @ 0xab87320] 8x8 transform intra:14.5% inter:46.1% [libx264 @ 0xab87320] coded y,u,v intra: 33.5% 24.1% 25.4% inter: 0.9% 0.4% 0.4% [libx264 @ 0xab87320] i16 v,h,dc,p: 70% 26% 1% 3% [libx264 @ 0xab87320] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 11% 21% 30% 5% 7% 5% 7% 4% 10% [libx264 @ 0xab87320] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 32% 35% 12% 2% 4% 3% 4% 3% 5% [libx264 @ 0xab87320] Weighted P-Frames: Y:0.0% UV:0.0% [libx264 @ 0xab87320] ref P L0: 57.0% 5.6% 26.8% 10.6% [libx264 @ 0xab87320] ref B L0: 69.4% 22.6% 8.0% [libx264 @ 0xab87320] ref B L1: 93.7% 6.3% [libx264 @ 0xab87320] kb/s:2460.40

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• Combined Likelihood Models

  - by Lukas Vermeer

  In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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• Solving Big Problems with Oracle R Enterprise, Part II

  - by dbayard

  Part II – Solving Big Problems with Oracle R Enterprise In the first post in this series (see https://blogs.oracle.com/R/entry/solving_big_problems_with_oracle), we showed how you can use R to perform historical rate of return calculations against investment data sourced from a spreadsheet.  We demonstrated the calculations against sample data for a small set of accounts.  While this worked fine, in the real-world the problem is much bigger because the amount of data is much bigger.  So much bigger that our approach in the previous post won’t scale to meet the real-world needs. From our previous post, here are the challenges we need to conquer: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In this post, we will show how we moved from sample data environment to working with full-scale data.  This post is based on actual work we did for a financial services customer during a recent proof-of-concept. Getting started with the Database At this point, we have some sample data and our IRR function.  We were at a similar point in our customer proof-of-concept exercise- we had sample data but we did not have the full customer data yet.  So our database was empty.  But, this was easily rectified by leveraging the transparency features of Oracle R Enterprise (see https://blogs.oracle.com/R/entry/analyzing_big_data_using_the).  The following code shows how we took our sample data SimpleMWRRData and easily turned it into a new Oracle database table called IRR_DATA via ore.create().  The code also shows how we can access the database table IRR_DATA as if it was a normal R data.frame named IRR_DATA. If we go to sql*plus, we can also check out our new IRR_DATA table: At this point, we now have our sample data loaded in the database as a normal Oracle table called IRR_DATA.  So, we now proceeded to test our R function working with database data. As our first test, we retrieved the data from a single account from the IRR_DATA table, pull it into local R memory, then call our IRR function.  This worked.  No SQL coding required! Going from Crawling to Walking Now that we have shown using our R code with database-resident data for a single account, we wanted to experiment with doing this for multiple accounts.  In other words, we wanted to implement the split-apply-combine technique we discussed in our first post in this series.  Fortunately, Oracle R Enterprise provides a very scalable way to do this with a function called ore.groupApply().  You can read more about ore.groupApply() here: https://blogs.oracle.com/R/entry/analyzing_big_data_using_the1 Here is an example of how we ask ORE to take our IRR_DATA table in the database, split it by the ACCOUNT column, apply a function that calls our SimpleMWRR() calculation, and then combine the results. (If you are following along at home, be sure to have installed our myIRR package on your database server via  “R CMD INSTALL myIRR”). The interesting thing about ore.groupApply is that the calculation is not actually performed in my desktop R environment from which I am running.  What actually happens is that ore.groupApply uses the Oracle database to perform the work.  And the Oracle database is what actually splits the IRR_DATA table by ACCOUNT.  Then the Oracle database takes the data for each account and sends it to an embedded R engine running on the database server to apply our R function.  Then the Oracle database combines all the individual results from the calls to the R function. This is significant because now the embedded R engine only needs to deal with the data for a single account at a time.  Regardless of whether we have 20 accounts or 1 million accounts or more, the R engine that performs the calculation does not care.  Given that normal R has a finite amount of memory to hold data, the ore.groupApply approach overcomes the R memory scalability problem since we only need to fit the data from a single account in R memory (not all of the data for all of the accounts). Additionally, the IRR_DATA does not need to be sent from the database to my desktop R program.  Even though I am invoking ore.groupApply from my desktop R program, because the actual SimpleMWRR calculation is run by the embedded R engine on the database server, the IRR_DATA does not need to leave the database server- this is both a performance benefit because network transmission of large amounts of data take time and a security benefit because it is harder to protect private data once you start shipping around your intranet. Another benefit, which we will discuss in a few paragraphs, is the ability to leverage Oracle database parallelism to run these calculations for dozens of accounts at once. From Walking to Running ore.groupApply is rather nice, but it still has the drawback that I run this from a desktop R instance.  This is not ideal for integrating into typical operational processes like nightly data warehouse refreshes or monthly statement generation.  But, this is not an issue for ORE.  Oracle R Enterprise lets us run this from the database using regular SQL, which is easily integrated into standard operations.  That is extremely exciting and the way we actually did these calculations in the customer proof. As part of Oracle R Enterprise, it provides a SQL equivalent to ore.groupApply which it refers to as “rqGroupEval”.  To use rqGroupEval via SQL, there is a bit of simple setup needed.  Basically, the Oracle Database needs to know the structure of the input table and the grouping column, which we are able to define using the database’s pipeline table function mechanisms. Here is the setup script: At this point, our initial setup of rqGroupEval is done for the IRR_DATA table.  The next step is to define our R function to the database.  We do that via a call to ORE’s rqScriptCreate. Now we can test it.  The SQL you use to run rqGroupEval uses the Oracle database pipeline table function syntax.  The first argument to irr_dataGroupEval is a cursor defining our input.  You can add additional where clauses and subqueries to this cursor as appropriate.  The second argument is any additional inputs to the R function.  The third argument is the text of a dummy select statement.  The dummy select statement is used by the database to identify the columns and datatypes to expect the R function to return.  The fourth argument is the column of the input table to split/group by.  The final argument is the name of the R function as you defined it when you called rqScriptCreate(). The Real-World Results In our real customer proof-of-concept, we had more sophisticated calculation requirements than shown in this simplified blog example.  For instance, we had to perform the rate of return calculations for 5 separate time periods, so the R code was enhanced to do so.  In addition, some accounts needed a time-weighted rate of return to be calculated, so we extended our approach and added an R function to do that.  And finally, there were also a few more real-world data irregularities that we needed to account for, so we added logic to our R functions to deal with those exceptions.  For the full-scale customer test, we loaded the customer data onto a Half-Rack Exadata X2-2 Database Machine.  As our half-rack had 48 physical cores (and 96 threads if you consider hyperthreading), we wanted to take advantage of that CPU horsepower to speed up our calculations.  To do so with ORE, it is as simple as leveraging the Oracle Database Parallel Query features.  Let’s look at the SQL used in the customer proof: Notice that we use a parallel hint on the cursor that is the input to our rqGroupEval function.  That is all we need to do to enable Oracle to use parallel R engines. Here are a few screenshots of what this SQL looked like in the Real-Time SQL Monitor when we ran this during the proof of concept (hint: you might need to right-click on these images to be able to view the images full-screen to see the entire image): From the above, you can notice a few things (numbers 1 thru 5 below correspond with highlighted numbers on the images above.  You may need to right click on the above images and view the images full-screen to see the entire image): The SQL completed in 110 seconds (1.8minutes) We calculated rate of returns for 5 time periods for each of 911k accounts (the number of actual rows returned by the IRRSTAGEGROUPEVAL operation) We accessed 103m rows of detailed cash flow/market value data (the number of actual rows returned by the IRR_STAGE2 operation) We ran with 72 degrees of parallelism spread across 4 database servers Most of our 110seconds was spent in the “External Procedure call” event On average, we performed 8,200 executions of our R function per second (110s/911k accounts) On average, each execution was passed 110 rows of data (103m detail rows/911k accounts) On average, we did 41,000 single time period rate of return calculations per second (each of the 8,200 executions of our R function did rate of return calculations for 5 time periods) On average, we processed over 900,000 rows of database data in R per second (103m detail rows/110s) R + Oracle R Enterprise: Best of R + Best of Oracle Database This blog post series started by describing a real customer problem: how to perform a lot of calculations on a lot of data in a short period of time.  While standard R proved to be a very good fit for writing the necessary calculations, the challenge of working with a lot of data in a short period of time remained. This blog post series showed how Oracle R Enterprise enables R to be used in conjunction with the Oracle Database to overcome the data volume and performance issues (as well as simplifying the operations and security issues).  It also showed that we could calculate 5 time periods of rate of returns for almost a million individual accounts in less than 2 minutes. In a future post, we will take the same R function and show how Oracle R Connector for Hadoop can be used in the Hadoop world.  In that next post, instead of having our data in an Oracle database, our data will live in Hadoop and we will how to use the Oracle R Connector for Hadoop and other Oracle Big Data Connectors to move data between Hadoop, R, and the Oracle Database easily.

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• Allocation algorithm help, using Python.

  - by Az

  Hi there, I've been working on this general allocation algorithm for students. The pseudocode for it (a Python implementation) is: for a student in a dictionary of students: for student's preference in a set of preferences (ordered from 1 to 10): let temp_project be the first preferred project check if temp_project is available if so, allocate it to them and make the project UNavailable to others Quite simply this will try to allocate projects by starting from their most preferred. The way it works, out of a set of say 100 projects, you list 10 you would want to do. So the 10th project wouldn't be the "least preferred overall" but rather the least preferred in their chosen set, which isn't so bad. Obviously if it can't allocate a project, a student just reverts to the base case which is an allocation of None, with a rank of 11. What I'm doing is calculating the allocation "quality" based on a weighted sum of the ranks. So the lower the numbers (i.e. more highly preferred projects), the better the allocation quality (i.e. more students have highly preferred projects). That's basically what I've currently got. Simple and it works. Now I'm working on this algorithm that tries to minimise the allocation weight locally (this pseudocode is a bit messy, sorry). The only reason this will probably work is because my "search space" as it is, isn't particularly large (just a very general, anecdotal observation, mind you). Since the project is only specific to my Department, we have their own limits imposed. So the number of students can't exceed 100 and the number of preferences won't exceed 10. for student in a dictionary/list/whatever of students: where i = 0 take the (i)st student, (i+1)nd student for their ranks: allocate the projects and set local_weighting to be sum(student_i.alloc_proj_rank, student_i+1.alloc_proj_rank) these are the cases: if local_weighting is 2 (i.e. both ranks are 1): then i += 1 and and continue above if local weighting is = N>2 (i.e. one or more ranks are greater than 1): let temp_local_weighting be N: pick student with lowest rank and then move him to his next rank and pick the other student and reallocate his project after this if temp_local_weighting is < N: then allocate those projects to the students move student with lowest rank to the next rank and reallocate other if temp_local_weighting < previous_temp_allocation: let these be the new allocated projects try moving for the lowest rank and reallocate other else: if this weighting => previous_weighting let these be the allocated projects i += 1 and move on for the rest of the students So, questions: This is sort of a modification of simulated annealing, but any sort of comments on this would be appreciated. How would I keep track of which student is (i) and which student is (i+1) If my overall list of students is 100, then the thing would mess up on (i+1) = 101 since there is none. How can I circumvent that? Any immediate flaws that can be spotted? Extra info: My students dictionary is designed as such: students[student_id] = Student(student_id, student_name, alloc_proj, alloc_proj_rank, preferences) where preferences is in the form of a dictionary such that preferences[rank] = {project_id}

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• Why is there a Null Pointer Exception in this Java Code?

  - by algorithmicCoder

  This code takes in users and movies from two separate files and computes a user score for a movie. When i run the code I get the following error: Exception in thread "main" java.lang.NullPointerException at RecommenderSystem.makeRecommendation(RecommenderSystem.java:75) at RecommenderSystem.main(RecommenderSystem.java:24) I believe the null pointer exception is due to an error in this particular class but I can't spot it....any thoughts? import java.io.*; import java.lang.Math; public class RecommenderSystem { private Movie[] m_movies; private User[] m_users; /** Parse the movies and users files, and then run queries against them. */ public static void main(String[] argv) throws FileNotFoundException, ParseError, RecommendationError { FileReader movies_fr = new FileReader("C:\\workspace\\Recommender\\src\\IMDBTop10.txt"); FileReader users_fr = new FileReader("C:\\workspace\\Recommender\\src\\IMDBTop10-users.txt"); MovieParser mp = new MovieParser(movies_fr); UserParser up = new UserParser(users_fr); Movie[] movies = mp.getMovies(); User[] users = up.getUsers(); RecommenderSystem rs = new RecommenderSystem(movies, users); System.out.println("Alice would rate \"The Shawshank Redemption\" with at least a " + rs.makeRecommendation("The Shawshank Redemption", "asmith")); System.out.println("Carol would rate \"The Dark Knight\" with at least a " + rs.makeRecommendation("The Dark Knight", "cd0")); } /** Instantiate a recommender system. * * @param movies An array of Movie that will be copied into m_movies. * @param users An array of User that will be copied into m_users. */ public RecommenderSystem(Movie[] movies, User[] users) throws RecommendationError { m_movies = movies; m_users = users; } /** Suggest what the user with "username" would rate "movieTitle". * * @param movieTitle The movie for which a recommendation is made. * @param username The user for whom the recommendation is made. */ public double makeRecommendation(String movieTitle, String username) throws RecommendationError { int userNumber; int movieNumber; int j=0; double weightAvNum =0; double weightAvDen=0; for (userNumber = 0; userNumber < m_users.length; ++userNumber) { if (m_users[userNumber].getUsername().equals(username)) { break; } } for (movieNumber = 0; movieNumber < m_movies.length; ++movieNumber) { if (m_movies[movieNumber].getTitle().equals(movieTitle)) { break; } } // Use the weighted average algorithm here (don't forget to check for // errors). while(j<m_users.length){ if(j!=userNumber){ weightAvNum = weightAvNum + (m_users[j].getRating(movieNumber)- m_users[j].getAverageRating())*(m_users[userNumber].similarityTo(m_users[j])); weightAvDen = weightAvDen + (m_users[userNumber].similarityTo(m_users[j])); } j++; } return (m_users[userNumber].getAverageRating()+ (weightAvNum/weightAvDen)); } } class RecommendationError extends Exception { /** An error for when something goes wrong in the recommendation process. * * @param s A string describing the error. */ public RecommendationError(String s) { super(s); } }

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• CodePlex Daily Summary for Thursday, March 22, 2012

  CodePlex Daily Summary for Thursday, March 22, 2012Popular ReleasesTelerik CAB Enabling Kit for RadControls for WinForms: TCEK 2012.1.321.20: major update, new Workspaces and UIAdapters Workspaces: - RadDockWorkspace - RadPageViewWorkspace - RadFormWorkspace - RadFormMdiWorkspace - RadTabbedMdiWorkspace UI Adapters: - RadCommandBarUIAdapter - RadRibbonBarUIAdapter - RadTreeNodeUiAdapter - RadTreeViewUIAdapter - RadItemCollectionUIAdapter - (RadMenu, RadStatusStrip, all controls that support RadItem collections)People's Note: People's Note 0.40: Version 0.40 adds an option to compact the database from the profile screen. Compacting a database can make it smaller and faster by removing empty spaces left over by editing, moving, and deleting notes. To install: copy the appropriate CAB file onto your WM device and run it.Microsoft All-In-One Code Framework - a centralized code sample library: C++, .NET Coding Guideline: Microsoft All-In-One Code Framework Coding Guideline This document describes the coding style guideline for native C++ and .NET (C# and VB.NET) programming used by the Microsoft All-In-One Code Framework project team.SQL Monitor - managing sql server performance: SQLMon 4.2 alpha 13: 1. added logic fault checking in analysis. automatically detect dead loop or memory leakage in stored procedures, for details please refer to http://sqlmon.codeplex.com/workitem/32469WebDAV for WHS: Version 1.0.67: - Added: Check whether the Remote Web Access is turned on or not; - Added: Check for Add-In updates;Metodología General Ajustada - MGA: 02.02.01: Cambios John: Se actualizan los seis formularios de Identificaciòn para que despuès de guardar actualice las grillas, de tal manera que no se dupliquen los registros al guardar. Se genera instalador con los cambios y se actualiza la base datos con ùltimos cambios en el SP de Flujo de Caja.xyzzy+: xyzzy+ 0.2.2.235+0: SHA1: 4a0258736e7df52bb6e2304178b7fcf02414ae17 PrerequisitesMicrosoft Visual C++ 2010 SP1 Redistributable Package (x86) (ja) FeaturesUnicode Visual Style Known ProblemsCharacter encodings other than Shift_JIS and UTF-X may be broken. Functions related to character encodings may not work. (ex. iso-code-char)Phalanger - The PHP Language Compiler for the .NET Framework: 3.0 (March 2012) for .NET 4.0: March release of Phalanger 3.0 significantly enhances performance, adds new features and fixes many issues. See following for the list of main improvements: New features: Phalanger Tools installable for Visual Studio 2011 Beta "filter" extension with several most used filters implemented DomDocument HTML parser, loadHTML() method mail() PHP compatible function PHP 5.4 T_CALLABLE token PHP 5.4 "callable" type hint PCRE: UTF32 characters in range support configuration supports <c...Nearforums - ASP.NET MVC forum engine: Nearforums v8.0: Version 8.0 of Nearforums, the ASP.NET MVC Forum Engine, containing new features: Internationalization Custom authentication provider Access control list for forums and threads Webdeploy package checksum: abc62990189cf0d488ef915d4a55e4b14169bc01 Visit Roadmap for more details.BIDS Helper: BIDS Helper 1.6: This beta release is the first to support SQL Server 2012 (in addition to SQL Server 2005, 2008, and 2008 R2). Since it is marked as a beta release, we are looking for bug reports in the next few months as you use BIDS Helper on real projects. In addition to getting all existing BIDS Helper functionality working appropriately in SQL Server 2012 (SSDT), the following features are new... Analysis Services Tabular Smart Diff Tabular Actions Editor Tabular HideMemberIf Tabular Pre-Build ...Json.NET: Json.NET 4.5 Release 1: New feature - Windows 8 Metro build New feature - JsonTextReader automatically reads ISO strings as dates New feature - Added DateFormatHandling to control whether dates are written in the MS format or ISO format, with ISO as the default New feature - Added DateTimeZoneHandling to control reading and writing DateTime time zone details New feature - Added async serialize/deserialize methods to JsonConvert New feature - Added Path to JsonReader/JsonWriter/ErrorContext and exceptions w...SCCM Client Actions Tool: SCCM Client Actions Tool v1.11: SCCM Client Actions Tool v1.11 is the latest version. It comes with following changes since last version: Fixed a bug when ping and cmd.exe kept running in endless loop after action progress was finished. Fixed update checking from Codeplex RSS feed. The tool is downloadable as a ZIP file that contains four files: ClientActionsTool.hta – The tool itself. Cmdkey.exe – command line tool for managing cached credentials. This is needed for alternate credentials feature when running the HTA...WebSocket4Net: WebSocket4Net 0.5: Changes in this release fixed the wss's default port bug improved JsonWebSocket supported set client access policy protocol for silverlight fixed a handshake issue in Silverlight fixed a bug that "Host" field in handshake hadn't contained port if the port is not default supported passing in Origin parameter for handshaking supported reacting pings from server side fixed a bug in data sending fixed the bug sending a closing handshake with no message which would cause an excepti...SuperWebSocket, a .NET WebSocket Server: SuperWebSocket 0.5: Changes included in this release: supported closing handshake queue checking improved JSON subprotocol supported sending ping from server to client fixed a bug about sending a closing handshake with no message refactored the code to improve protocol compatibility fixed a bug about sub protocol configuration loading in Mono improved BasicSubProtocol added JsonWebSocketSessionSurvey™ - web survey & form engine: Survey™ 2.0: The new stable Survey™ Project 2.0.0.1 version contains many new features like: Technical changes: - Use of Jquery, ASTreeview, Tabs, Tooltips and new menuprovider Features & Bugfixes: Survey list and search function Folder structure for surveys New Menustructure Library list New Library fields User list and search functions Layout options for a survey with CSS, page header and footer New IP filter security feature Enhanced Token Management New Question fields as ID, Alias...AppBarUtils for Windows Phone SDK 7.1: AppBarUtils 1.2: This release contains IconUri dependency property for both AppBarItemCommand and AppBarItemTrigger as requested by shawnoster at http://appbarutils.codeplex.com/discussions/321745. When using this IconUri dependency property, please be sure to set the Type property to AppBarItemType.Button or just omit this property entirely, because it is only for app bar icon button. The demo has been updated to show how to use this new IconUri dependency property with a new lock button on the app bar. Wh...Offline Navigation for Windows Phone 7: 0.1 Alpha: This is the 0.1 alpha release of source code.SmartNet: V1.0.0.0: DY SmartNet ?????? V1.0Javascript .NET: Javascript .NET v0.6: Upgraded to the latest stable branch of v8 (/tags/3.9.18), and switched to using their scons build system. We no longer include v8 source code as part of this project's source code. Simultaneous multithreaded use of v8 now supported (v8 Isolates), although different contexts may not share objects or call each other. 64-bit .Net 4.0 DLL now included. (Download now includes x86 and x64 for both .Net 3.5 and .Net 4.0.)MyRouter (Virtual WiFi Router): MyRouter 1.0.7: This release should be more stable there were a few bug fixes including the x64 issue as well as an error popping up when MyRouter started this was caused by a NULL valueNew ProjectsActivities.WMI: WF4 ?????? WMI ??????????????? Activities library related WMI, available in WF4Append Customisation Service: A lightweight windows service for applying customisations to enterprise webapps: monitors a file and makes sure your code is always appended to the end of the file. Disable the service, and your customisations go away. c# .net 4. Useful for customising branding/design, javascript, css and so on - in applications such as Dynamics CRM 2011.ASP.NET Security Module: Modulo de seguridad para aplicaciones Web asp.netavgdx: This project is just for Directx 11 learningDaabli: A lightweight C# version of the Daabli serialization framework for C++. If your application needs to load objects and data from human readable text files, then Daabli could be useful to you. It is designed to be as easy to use as possible and works with a 'C' style human editable format. The original C++ version is available here: http://daabli.sourceforge.net/ DNN Simple Tweet: DNN Simple Tweet is a simple DotNetNuke module for display of Twitter Feeds. Using the stock Twitter Profile Widget, its settings allow you to change the Twitter User name, Tweet colors, etc. Developed in VB. DNN version 6 and higher required. *NUISANCE* When selecting between "Display All" and "Timed Interval" for Twitter Behavior, the iColorPicker for the colors will disappear. This is due to the post-back which is occurring and the use of Javascript of the color picker. Updat...Don't We-KC and Sway: Don't We-KC and SwayEksponent CropUp: CropUp is a simple geometric algorithm for "weighted auto cropping". A focus point and optional "area of interest" are defined (e.g. a face in a group pictures). These are shown instead of random stomachs when the picture needs to be sized to a specific format. Umbraco package.Enterprise Modular Application: Guidelines to create Enterprise modular applications in .NET framework, independent of any specific framework.Escape From Canyon: Escape from canyon is a little game project (for academic purpose only) developed using XNA 4.0 and F#FIX Sample code using QuickFIX to connect to TT FIX Adapter: Sample FIX client provides a starting place for developers to connect to the TT FIX Adapter. It's developed in C# using QuickFIX as the FIX engine.FSGreeNetWork: FSGreeNetWorkGac Library -- C++ Utilities for GPU Accelerated GUI and Script: C++ Utilities for GPU Accelerated GUI and ScriptJhVirtualKeyboard for WPF and Silverlight: JhVirtualKeyboard is a virtual-keyboard for software developers to use with either WPF or Silverlight projects. With it - you now have a simple way to provide your users with the ability to enter characters in different languages and alphabets, or any Unicode character. Developed in C#, using Visual Studio 2010 and .NET 4 More information can be found on my blog article at: http://designforge.wordpress.com/2011/01/06/jhvirtualkeyboard/ by James W. HurstKrishaWeb: Krisha webNetFrameworkExtensions: Simple plain framework to add a lot of features to .NET framework core. Most of the features are added in form of extension methods.pav2: proyecto pav 2 SharePoint (2010) Connected Server: Display which web server a user is connected to in the Personal Actions drop down menu (user name in upper right). An extremely useful aid when troubleshooting issues in a multi-server SharePoint environment. I took the exisiting version which ran on MOSS 2007 and rebuilt it to run on SharePoint 2010. <b>Acknowledgements:</b> Full credit goes to Nathan Yorke for the original project http://spconnectedserver.codeplex.com which worked on MOSS 2007. SharePoint 2010 Gauge Web Part: SharePoint 2010 Gauge Web Part can be connected to any column of the “number” type in SharePoint list includes External Lists (only the farm solution version) and show calculations on column values. It supports 2 views: 1. The Gauge View 2. The Simple Indicator View SMTP Test Suite: SMTP server/client that can be used to test other servers/clients. Purely a test tool as most SMTP verbs are accepted without any checking.StarterCSS: StarterCorev4.css is inspired from Starter.master. This CSS file give you detailed explanation on the different class files on corev4.css. StarterCorev4.css will make you understand the purpose of each class files when you do ctrl + click on your master page css class.Triangle.NET: Triangle.NET is a 2D meshing software written in C#. It generates (constrained) Delaunay triangulations and quality meshes of point sets or planar straight line graphs. It is a port of Jonathan Shewchuk's Triangle software written in C.WorkFile: workfile about codeioXNA Electric Effect: An electric effect implemented using XNA 4 fro Windows Phone 7. It provides an easy way to configure settings to create realistic electric effects, lightening effects, etc.

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• Failed to convert a wmv file to mp4 with ffmpeg

  - by Olaf Erlandsen

  i need a help with this command FFMPEG COMMAND: ffmpeg -y -i /input.wmv -vcodec libx264 -acodec libfaac -ac 2 -bufsize 20M -sameq -f mp4 /output.mp4 Output: ffmpeg version 1.0 Copyright (c) 2000-2012 the FFmpeg developers built on Oct 9 2012 07:04:08 with gcc 4.4.6 (GCC) 20120305 (Red Hat 4.4.6-4) [wmv3 @ 0x16a4800] Extra data: 8 bits left, value: 0 Guessed Channel Layout for Input Stream #0.0 : stereo Input #0, asf, from '/input.wmv': Metadata: WMFSDKVersion : 11.0.5721.5275 WMFSDKNeeded : 0.0.0.0000 IsVBR : 0 Duration: 00:01:35.10, start: 0.000000, bitrate: 496 kb/s Stream #0:0(spa): Audio: wmav2 (a[1][0][0] / 0x0161), 44100 Hz, stereo, s16, 64 kb/s Stream #0:1(spa): Video: wmv3 (Main) (WMV3 / 0x33564D57), yuv420p, 320x240, 425 kb/s, SAR 1:1 DAR 4:3, 29.97 tbr, 1k tbn, 1k tbc [libx264 @ 0x16c3000] VBV bufsize set but maxrate unspecified, ignored [libx264 @ 0x16c3000] using SAR=1/1 [libx264 @ 0x16c3000] using cpu capabilities: MMX2 SSE2Fast SSSE3 FastShuffle SSE4.2 [libx264 @ 0x16c3000] profile High, level 1.3 [libx264 @ 0x16c3000] 264 - core 128 - H.264/MPEG-4 AVC codec - Copyleft 2003-2012 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 [wmv3 @ 0x16a4800] Extra data: 8 bits left, value: 0 Output #0, mp4, to '/output.mp4': Metadata: WMFSDKVersion : 11.0.5721.5275 WMFSDKNeeded : 0.0.0.0000 IsVBR : 0 encoder : Lavf54.29.104 Stream #0:0(spa): Video: h264 ([33][0][0][0] / 0x0021), yuv420p, 320x240 [SAR 1:1 DAR 4:3], q=-1--1, 30k tbn, 29.97 tbc Stream #0:1(spa): Audio: aac ([64][0][0][0] / 0x0040), 44100 Hz, stereo, s16, 128 kb/s Stream mapping: Stream #0:1 -> #0:0 (wmv3 -> libx264) Stream #0:0 -> #0:1 (wmav2 -> libfaac) Press [q] to stop, [?] for help [libfaac @ 0x16b3600] Que input is backward in time [mp4 @ 0x16bb3a0] st:0 PTS: 6174 DTS: 6174 < 7169 invalid, clipping frame= 144 fps=0.0 q=29.0 size= 207kB time=00:00:03.38 bitrate= 500.3kbits/s frame= 259 fps=257 q=29.0 size= 447kB time=00:00:07.30 bitrate= 501.3kbits/s frame= 375 fps=248 q=29.0 size= 668kB time=00:00:11.01 bitrate= 496.5kbits/s frame= 487 fps=241 q=29.0 size= 836kB time=00:00:14.85 bitrate= 460.7kbits/s frame= 605 fps=240 q=29.0 size= 1080kB time=00:00:18.92 bitrate= 467.4kbits/s frame= 719 fps=238 q=29.0 size= 1306kB time=00:00:22.80 bitrate= 469.2kbits/s frame= 834 fps=237 q=29.0 size= 1546kB time=00:00:26.52 bitrate= 477.3kbits/s frame= 953 fps=237 q=29.0 size= 1763kB time=00:00:30.27 bitrate= 477.0kbits/s frame= 1071 fps=237 q=29.0 size= 1986kB time=00:00:34.36 bitrate= 473.4kbits/s frame= 1161 fps=231 q=29.0 size= 2160kB time=00:00:37.21 bitrate= 475.4kbits/s frame= 1221 fps=220 q=29.0 size= 2282kB time=00:00:39.53 bitrate= 472.9kbits/s frame= 1280 fps=212 q=29.0 size= 2392kB time=00:00:41.16 bitrate= 476.1kbits/s frame= 1331 fps=203 q=29.0 size= 2502kB time=00:00:43.23 bitrate= 474.1kbits/s frame= 1379 fps=195 q=29.0 size= 2618kB time=00:00:44.72 bitrate= 479.6kbits/s frame= 1430 fps=189 q=29.0 size= 2733kB time=00:00:46.34 bitrate= 483.0kbits/s frame= 1487 fps=184 q=29.0 size= 2851kB time=00:00:48.40 bitrate= 482.6kbits/s frame= 1546 fps=180 q=26.0 size= 2973kB time=00:00:50.43 bitrate= 482.9kbits/s frame= 1610 fps=177 q=29.0 size= 3112kB time=00:00:52.40 bitrate= 486.5kbits/s frame= 1672 fps=174 q=29.0 size= 3231kB time=00:00:54.35 bitrate= 487.0kbits/s frame= 1733 fps=171 q=29.0 size= 3348kB time=00:00:56.51 bitrate= 485.3kbits/s frame= 1792 fps=169 q=29.0 size= 3459kB time=00:00:58.28 bitrate= 486.2kbits/s frame= 1851 fps=166 q=29.0 size= 3588kB time=00:01:00.32 bitrate= 487.2kbits/s frame= 1910 fps=164 q=29.0 size= 3716kB time=00:01:02.36 bitrate= 488.1kbits/s frame= 1972 fps=162 q=29.0 size= 3833kB time=00:01:04.45 bitrate= 487.1kbits/s frame= 2032 fps=161 q=29.0 size= 3946kB time=00:01:06.40 bitrate= 486.8kbits/s frame= 2091 fps=159 q=29.0 size= 4080kB time=00:01:08.35 bitrate= 488.9kbits/s frame= 2150 fps=158 q=29.0 size= 4201kB time=00:01:10.54 bitrate= 487.9kbits/s frame= 2206 fps=156 q=29.0 size= 4315kB time=00:01:12.39 bitrate= 488.3kbits/s frame= 2263 fps=154 q=29.0 size= 4438kB time=00:01:14.21 bitrate= 489.9kbits/s frame= 2327 fps=154 q=29.0 size= 4567kB time=00:01:16.16 bitrate= 491.2kbits/s frame= 2388 fps=152 q=29.0 size= 4666kB time=00:01:18.48 bitrate= 487.0kbits/s frame= 2450 fps=152 q=29.0 size= 4776kB time=00:01:20.24 bitrate= 487.6kbits/s frame= 2511 fps=151 q=29.0 size= 4890kB time=00:01:22.15 bitrate= 487.6kbits/s frame= 2575 fps=150 q=29.0 size= 5015kB time=00:01:24.42 bitrate= 486.6kbits/s frame= 2635 fps=149 q=29.0 size= 5130kB time=00:01:26.62 bitrate= 485.2kbits/s frame= 2695 fps=148 q=29.0 size= 5258kB time=00:01:28.65 bitrate= 485.9kbits/s frame= 2758 fps=147 q=29.0 size= 5382kB time=00:01:30.64 bitrate= 486.4kbits/s frame= 2816 fps=147 q=29.0 size= 5521kB time=00:01:32.69 bitrate= 487.9kbits/s get_buffer() failed Error while decoding stream #0:0: Invalid argument frame= 2848 fps=143 q=-1.0 Lsize= 5787kB time=00:01:35.10 bitrate= 498.4kbits/s video:5099kB audio:581kB subtitle:0 global headers:0kB muxing overhead 1.884230% [libx264 @ 0x16c3000] frame I:12 Avg QP:22.64 size: 12092 [libx264 @ 0x16c3000] frame P:1508 Avg QP:25.39 size: 2933 [libx264 @ 0x16c3000] frame B:1328 Avg QP:30.62 size: 491 [libx264 @ 0x16c3000] consecutive B-frames: 10.0% 80.8% 8.1% 1.1% [libx264 @ 0x16c3000] mb I I16..4: 1.8% 72.1% 26.0% [libx264 @ 0x16c3000] mb P I16..4: 0.4% 2.4% 0.3% P16..4: 48.3% 19.6% 19.3% 0.0% 0.0% skip: 9.5% [libx264 @ 0x16c3000] mb B I16..4: 0.1% 0.2% 0.0% B16..8: 52.6% 6.6% 2.3% direct: 1.4% skip:36.8% L0:48.8% L1:42.5% BI: 8.7% [libx264 @ 0x16c3000] 8x8 transform intra:75.3% inter:55.4% [libx264 @ 0x16c3000] coded y,uvDC,uvAC intra: 77.9% 81.7% 33.1% inter: 24.2% 11.6% 1.1% [libx264 @ 0x16c3000] i16 v,h,dc,p: 25% 16% 44% 14% [libx264 @ 0x16c3000] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 19% 15% 29% 6% 5% 6% 6% 7% 7% [libx264 @ 0x16c3000] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 15% 17% 7% 9% 8% 9% 7% 7% [libx264 @ 0x16c3000] i8c dc,h,v,p: 50% 19% 24% 7% [libx264 @ 0x16c3000] Weighted P-Frames: Y:3.8% UV:1.1% [libx264 @ 0x16c3000] ref P L0: 75.6% 19.1% 4.2% 1.0% 0.1% [libx264 @ 0x16c3000] ref B L0: 98.1% 1.9% 0.0% [libx264 @ 0x16c3000] ref B L1: 98.9% 1.1% [libx264 @ 0x16c3000] kb/s:439.47 FFMPEG Configuration: --enable-version3 --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libvpx --enable-libfaac --enable-libmp3lame --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-gpl --enable-postproc --enable-nonfree libavutil 51. 73.101 / 51. 73.101 libavcodec 54. 59.100 / 54. 59.100 libavformat 54. 29.104 / 54. 29.104 libavdevice 54. 2.101 / 54. 2.101 libavfilter 3. 17.100 / 3. 17.100 libswscale 2. 1.101 / 2. 1.101 libswresample 0. 15.100 / 0. 15.100 libpostproc 52. 0.100 / 52. 0.100 PROBLEM #1: [libfaac @ 0x16b3600] Que input is backward in time [mp4 @ 0x16bb3a0] st:0 PTS: 6174 DTS: 6174 < 7169 invalid, clipping PROBLEM #2: get_buffer() failed Error while decoding stream #0:0: Invalid argument

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• Use DivX settings to encode to mp4 with ffmpeg

  - by sjngm

  I'm used to use VirtualDub to encode a video to AVI container with DivX-codec (and MP3 for audio). Now I'm planning to use ffmpeg to encode videos to MP4 container with h264-codec. What I've figured out is that I need to use libx264 and one of those presets to make anything work. However, I'm amazed about the video bitrate ffmpeg uses for encoding. What I currently have is this little batch file: @ECHO OFF SETLOCAL SET IN=source.avs SET FFMPEG_PATH=C:\Program Files (x86)\ffmpeg SET PRESET=-fpre "%FFMPEG_PATH%\presets\libx264-lossless_slow.ffpreset" SET AUDIO=-acodec libmp3lame -ab 128000 SET VIDEO=-vcodec libx264 -vb 1978000 "%FFMPEG_PATH%\ffmpeg.exe" -i %IN% %AUDIO% %VIDEO% %PRESET% test.mp4 ENDLOCAL With this I tell ffmpeg to use 1978k as the bitrate, but ffmpeg uses 15000k+! I tried other presets, but they don't use my specified bitrate. Here are the presets I have: libx264-baseline.ffpreset libx264-ipod320.ffpreset libx264-ipod640.ffpreset libx264-lossless_fast.ffpreset libx264-lossless_max.ffpreset libx264-lossless_medium.ffpreset libx264-lossless_slow.ffpreset libx264-lossless_slower.ffpreset libx264-lossless_ultrafast.ffpreset ffmpeg version: FFmpeg git-N-29181-ga304071 libavutil 50. 40. 1 / 50. 40. 1 libavcodec 52.120. 0 / 52.120. 0 libavformat 52.108. 0 / 52.108. 0 libavdevice 52. 4. 0 / 52. 4. 0 libavfilter 1. 79. 0 / 1. 79. 0 libswscale 0. 13. 0 / 0. 13. 0 Note that I don't use the latest version as it has problems with spaces in filenames. Here's what seems to be the full parameter list DivX 6.9.2 uses: -bvnn 1978000 -vbv 218691200,100663296,100663296 -dir "C:\Users\sjngm\AppData\Roaming\DivX\DivX Codec" -w -b 1 -use_presets=1 -preset=10 -windowed_fullsearch=2 -thread_delay=1 What command line parameters would that be for ffmpeg? EDIT: Going with slhck's suggestion I tried a new 32-bit version. I have no idea if that is 0.9 or newer, I can't find that info. ffmpeg version N-36890-g67f5650 libavutil 51. 34.100 / 51. 34.100 libavcodec 53. 56.105 / 53. 56.105 libavformat 53. 30.100 / 53. 30.100 libavdevice 53. 4.100 / 53. 4.100 libavfilter 2. 59.100 / 2. 59.100 libswscale 2. 1.100 / 2. 1.100 libswresample 0. 6.100 / 0. 6.100 libpostproc 51. 2.100 / 51. 2.100 I reworked my batch file to look like this (interestingly enough I can't find parameter -vprofile in the documentation): @ECHO OFF SETLOCAL SET IN=VTS_01_1.avs SET FFMPEG_PATH=C:\Program Files (x86)\ffmpeg SET PRESET=-vprofile high -preset veryslow SET AUDIO=-acodec libmp3lame -ab 128000 SET VIDEO=-vcodec libx264 -vb 1978000 "%FFMPEG_PATH%\ffmpeg.exe" -i %IN% %AUDIO% %PRESET% %VIDEO% test.mp4 ENDLOCAL I see that it now uses the bitrate properly (thanks to LongNeckbeard for pointing out that the lossless-stuff ignores the bitrate!). Just in case you wonder how I came up with the 1978000, I'm using this formula which I found valid for DivX-files (I'm guessing the bitrate won't change that much for h264): width * height * 25 * 0.22 / 1000 I'm not sure if the 0.22 correlates with the CRF somehow. Overall I forgot to say the I will use a two-pass scenario, which is why I don't use the CRF here. I will try to read more about this. Currently I'm just trying to get something running that shows me that I'm doing something right (ffmpeg isn't the easiest tool to understand ;)). C:\Program Files (x86)\ffmpeg\ffmpeg.exe" -i VTS_01_1.avs -acodec libmp3lame -ab 128000 -vcodec libx264 -vb 1978000 -vprofile high -preset veryslow test.mp4 The output is now: ffmpeg version N-36890-g67f5650 Copyright (c) 2000-2012 the FFmpeg developers built on Jan 16 2012 21:57:13 with gcc 4.6.2 configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-runtime-cpudetect --enable-avisynth --enable-bzlib --enable-frei0r --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libfreetype --enable-libgsm --enable-libmp3lame --enable-libopenjpeg --enable-librtmp --enable-libschroedinger --enable-libspeex --enable-libtheora --enable-libvo-aacenc --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libxavs --enable-libxvid --enable-zlib libavutil 51. 34.100 / 51. 34.100 libavcodec 53. 56.105 / 53. 56.105 libavformat 53. 30.100 / 53. 30.100 libavdevice 53. 4.100 / 53. 4.100 libavfilter 2. 59.100 / 2. 59.100 libswscale 2. 1.100 / 2. 1.100 libswresample 0. 6.100 / 0. 6.100 libpostproc 51. 2.100 / 51. 2.100 Input #0, avs, from 'VTS_01_1.avs': Duration: 00:58:46.12, start: 0.000000, bitrate: 0 kb/s Stream #0:0: Video: rawvideo (YV12 / 0x32315659), yuv420p, 576x448, 77414 kb/s, 25 tbr, 25 tbn, 25 tbc Stream #0:1: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 48000 Hz, 2 channels, s16, 1536 kb/s File 'test.mp4' already exists. Overwrite ? [y/N] y w:576 h:448 pixfmt:yuv420p tb:1/1000000 sar:0/1 sws_param: [libx264 @ 05A2C400] using cpu capabilities: MMX2 SSE2Fast FastShuffle SSEMisalign LZCNT [libx264 @ 05A2C400] profile High, level 3.1 [libx264 @ 05A2C400] 264 - core 120 r2120 0c7dab9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2011 - http://www.videolan.org/x264.html - options: cabac=1 ref=16 deblock=1:0:0 analyse=0x3:0x133 me=umh subme=10 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=24 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=3 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=8 b_pyramid=2 b_adapt=2 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=60 rc=abr mbtree=1 bitrate=1978 ratetol=1.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to 'test.mp4': Metadata: encoder : Lavf53.30.100 Stream #0:0: Video: h264 (![0][0][0] / 0x0021), yuv420p, 576x448, q=-1--1, 1978 kb/s, 25 tbn, 25 tbc Stream #0:1: Audio: mp3 (i[0][0][0] / 0x0069), 48000 Hz, 2 channels, s16, 128 kb/s Stream mapping: Stream #0:0 -> #0:0 (rawvideo -> libx264) Stream #0:1 -> #0:1 (pcm_s16le -> libmp3lame) Press [q] to stop, [?] for help frame= 0 fps= 0 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s frame= 0 fps= 0 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s frame= 0 fps= 0 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s frame= 3 fps= 1 q=22.0 size= 39kB time=00:00:00.04 bitrate=8063.8kbits/ frame= 8 fps= 2 q=22.0 size= 82kB time=00:00:00.24 bitrate=2801.3kbits/ frame= 13 fps= 3 q=23.0 size= 120kB time=00:00:00.44 bitrate=2229.5kbits/ frame= 16 fps= 4 q=23.0 size= 147kB time=00:00:00.56 bitrate=2156.7kbits/ frame= 20 fps= 4 q=22.0 size= 175kB time=00:00:00.72 bitrate=1987.4kbits/ : video:4387kB audio:273kB global headers:0kB muxing overhead 0.260038% [libx264 @ 05A2C400] frame I:2 Avg QP:19.53 size: 29850 [libx264 @ 05A2C400] frame P:76 Avg QP:22.24 size: 19541 [libx264 @ 05A2C400] frame B:359 Avg QP:25.93 size: 8210 [libx264 @ 05A2C400] consecutive B-frames: 0.5% 0.5% 0.0% 8.2% 17.2% 52.2% 16.0% 5.5% 0.0% [libx264 @ 05A2C400] mb I I16..4: 5.4% 75.3% 19.3% [libx264 @ 05A2C400] mb P I16..4: 1.3% 16.5% 2.2% P16..4: 36.3% 28.6% 12.7% 1.8% 0.2% skip: 0.4% [libx264 @ 05A2C400] mb B I16..4: 0.4% 3.8% 0.3% B16..8: 40.0% 18.4% 4.7% direct:18.5% skip:13.9% L0:45.4% L1:38.1% BI:16.5% [libx264 @ 05A2C400] final ratefactor: 20.35 [libx264 @ 05A2C400] 8x8 transform intra:83.1% inter:68.5% [libx264 @ 05A2C400] direct mvs spatial:99.2% temporal:0.8% [libx264 @ 05A2C400] coded y,uvDC,uvAC intra: 64.9% 83.4% 49.2% inter: 49.0% 50.4% 4.4% [libx264 @ 05A2C400] i16 v,h,dc,p: 25% 22% 27% 26% [libx264 @ 05A2C400] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 10% 7% 23% 9% 10% 10% 10%10% 13% [libx264 @ 05A2C400] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 12% 11% 13% 9% 12% 11% 10% 9% 12% [libx264 @ 05A2C400] i8c dc,h,v,p: 42% 28% 16% 14% [libx264 @ 05A2C400] Weighted P-Frames: Y:18.4% UV:7.9% [libx264 @ 05A2C400] ref P L0: 29.1% 11.3% 15.7% 7.3% 6.9% 4.9% 5.1% 3.4%3.9% 2.7% 2.8% 1.8% 1.7% 1.2% 1.4% 0.9% [libx264 @ 05A2C400] ref B L0: 68.8% 11.4% 5.5% 2.9% 2.3% 1.9% 1.5% 1.1%1.1% 1.0% 0.9% 0.7% 0.5% 0.3% 0.1% [libx264 @ 05A2C400] ref B L1: 91.9% 8.1% [libx264 @ 05A2C400] kb/s:2055.88 As far as I'm concerned it doesn't look that bad to me.

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• Prim's MST algorithm implementation with Java

  - by user1290164

  I'm trying to write a program that'll find the MST of a given undirected weighted graph with Kruskal's and Prim's algorithms. I've successfully implemented Kruskal's algorithm in the program, but I'm having trouble with Prim's. To be more precise, I can't figure out how to actually build the Prim function so that it'll iterate through all the vertices in the graph. I'm getting some IndexOutOfBoundsException errors during program execution. I'm not sure how much information is needed for others to get the idea of what I have done so far, but hopefully there won't be too much useless information. This is what I have so far: I have a Graph, Edge and a Vertex class. Vertex class mostly just an information storage that contains the name (number) of the vertex. Edge class can create a new Edge that has gets parameters (Vertex start, Vertex end, int edgeWeight). The class has methods to return the usual info like start vertex, end vertex and the weight. Graph class reads data from a text file and adds new Edges to an ArrayList. The text file also tells us how many vertecis the graph has, and that gets stored too. In the Graph class, I have a Prim() -method that's supposed to calculate the MST: public ArrayList<Edge> Prim(Graph G) { ArrayList<Edge> edges = G.graph; // Copies the ArrayList with all edges in it. ArrayList<Edge> MST = new ArrayList<Edge>(); Random rnd = new Random(); Vertex startingVertex = edges.get(rnd.nextInt(G.returnVertexCount())).returnStartingVertex(); // This is just to randomize the starting vertex. // This is supposed to be the main loop to find the MST, but this is probably horribly wrong.. while (MST.size() < returnVertexCount()) { Edge e = findClosestNeighbour(startingVertex); MST.add(e); visited.add(e.returnStartingVertex()); visited.add(e.returnEndingVertex()); edges.remove(e); } return MST; } The method findClosesNeighbour() looks like this: public Edge findClosestNeighbour(Vertex v) { ArrayList<Edge> neighbours = new ArrayList<Edge>(); ArrayList<Edge> edges = graph; for (int i = 0; i < edges.size() -1; ++i) { if (edges.get(i).endPoint() == s.returnVertexID() && !visited(edges.get(i).returnEndingVertex())) { neighbours.add(edges.get(i)); } } return neighbours.get(0); // This is the minimum weight edge in the list. } ArrayList<Vertex> visited and ArrayList<Edges> graph get constructed when creating a new graph. Visited() -method is simply a boolean check to see if ArrayList visited contains the Vertex we're thinking about moving to. I tested the findClosestNeighbour() independantly and it seemed to be working but if someone finds something wrong with it then that feedback is welcome also. Mainly though as I mentioned my problem is with actually building the main loop in the Prim() -method, and if there's any additional info needed I'm happy to provide it. Thank you. Edit: To clarify what my train of thought with the Prim() method is. What I want to do is first randomize the starting point in the graph. After that, I will find the closest neighbor to that starting point. Then we'll add the edge connecting those two points to the MST, and also add the vertices to the visited list for checking later, so that we won't form any loops in the graph. Here's the error that gets thrown: Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 0, Size: 0 at java.util.ArrayList.rangeCheck(Unknown Source) at java.util.ArrayList.get(Unknown Source) at Graph.findClosestNeighbour(graph.java:203) at Graph.Prim(graph.java:179) at MST.main(MST.java:49) Line 203: return neighbour.get(0); in findClosestNeighbour() Line 179: Edge e = findClosestNeighbour(startingVertex); in Prim()

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• Fetch a specific tag from Rally in order to compute a value in another field

  - by 4jas

  I'm extremely new to Rally development so my question may sound dumb (but couldn't find how to do it from rally's help or from previous posts here) :) I've started from the rally freeform grid example - my purpose is to implement a Business Value calculator: I fill the score field with a 5-digit figure where each number is a score in the 1-5 range. Then I compute a business value as the result of a calculation, where each number is weighted by a preset weight. I can sort my stories by Business Value to help me prioritize my backlog: that's the first step, and it works. Now what I want to do is to make my freeform grid editable: I am extracting each of my digits as a separate column, but those columns are display-only. How can I turn them into something editable? What I want to do of course is update back the score field based on the values input in each custom column. Here's an example: I have a record with score "15254", which means Business Value criteria 1 scores 1 out of 5, Business Value criteria 2 scores 5 out of 5, and so on... In the end my Business Value is computed as "1*1 + 5*2 + 2*3 + 5*4 + 4*5 = 57". So far this is the part that works. Now let's say I found that the third criteria should not score 2 but 3, I want to be able to edit the value in the corresponding column and have my score field updated to "15354", and my Business Value to display 60 instead of 57. Here is my current code, I'll be really grateful if you can help me with turning that grid into something editable :) <!--Include SDK--> <script type="text/javascript" src="https://rally1.rallydev.com/apps/2.0p2/sdk-debug.js"></script> <!--App code--> <script type="text/javascript"> Rally.onReady(function() { Ext.define('BVApp', { extend: 'Rally.app.App', componentCls: 'app', launch: function() { Ext.create('Rally.data.WsapiDataStore', { model: 'UserStory', autoLoad: true, listeners: { load: this._onDataLoaded, scope: this } }); }, _onDataLoaded: function(store, data) { var records = []; var li_score; var li_bv1, li_bv2, li_bv3, li_bv4, li_bv5, li_bvtotal; var weights = new Array(1, 2, 3, 4, 5); Ext.Array.each(data, function(record) { //Let's fetch score and compute the business values... li_score = record.get('Score'); if (li_score) { li_bv1 = li_score.toString().substring(0,1); li_bv2 = li_score.toString().substring(1,2); li_bv3 = li_score.toString().substring(2,3); li_bv4 = li_score.toString().substring(3,4); li_bv5 = li_score.toString().substring(4,5); li_bvtotal = li_bv1*weights[0] + li_bv2*weights[1] + li_bv3*weights[2] + li_bv4*weights[3] + li_bv5*weights[4]; } records.push({ FormattedID: record.get('FormattedID'), ref: record.get('_ref'), Name: record.get('Name'), Score: record.get('Score'), Bv1: li_bv1, Bv2: li_bv2, Bv3: li_bv3, Bv4: li_bv4, Bv5: li_bv5, BvTotal: li_bvtotal }); }); this.add({ xtype: 'rallygrid', store: Ext.create('Rally.data.custom.Store', { data: records, pageSize: 5 }), columnCfgs: [ { text: 'FormattedID', dataIndex: 'FormattedID' }, { text: 'ref', dataIndex: 'ref' }, { text: 'Name', dataIndex: 'Name', flex: 1 }, { text: 'Score', dataIndex: 'Score' }, { text: 'BusVal 1', dataIndex: 'Bv1' }, { text: 'BusVal 2', dataIndex: 'Bv2' }, { text: 'BusVal 3', dataIndex: 'Bv3' }, { text: 'BusVal 4', dataIndex: 'Bv4' }, { text: 'BusVal 5', dataIndex: 'Bv5' }, { text: 'BusVal Total', dataIndex: 'BvTotal' } ] }); } }); Rally.launchApp('BVApp', { name: 'Business Values App' }); var exampleHtml = '<div id="example-intro"><h1>Business Values App</h1>' + '<div>Own sample app for Business Values</div>' + '</div>'; // Default app viewport uses layout: 'fit', // so we need to insert a container into the viewport var viewport = Ext.ComponentQuery.query('viewport')[0]; var appComponent = viewport.items.getAt(0); var viewportContainerItems = [{ html: exampleHtml, border: 0 }]; //hide advanced cardboard live previews in examples for now viewportContainerItems.push({ xtype: 'container', items: [appComponent] }); viewport.remove(appComponent, false); viewport.add({ xtype: 'container', layout: 'vbox', items: viewportContainerItems }); }); </script> <!--App styles--> <style type="text/css"> .app { /* Add app styles here */ } </style>

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• parallelizing code using openmp

  - by anubhav

  Hi, The function below contains nested for loops. There are 3 of them. I have given the whole function below for easy understanding. I want to parallelize the code in the innermost for loop as it takes maximum CPU time. Then i can think about outer 2 for loops. I can see dependencies and internal inline functions in the innermost for loop . Can the innermost for loop be rewritten to enable parallelization using openmp pragmas. Please tell how. I am writing just the loop which i am interested in first and then the full function where this loop exists for referance. Interested in parallelizing the loop mentioned below. //* LOOP WHICH I WANT TO PARALLELIZE *// for (y = 0; y < 4; y++) { refptr = PelYline_11 (ref_pic, abs_y++, abs_x, img_height, img_width); LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; } The full function where this loop exists is below for referance. /*! *********************************************************************** * \brief * Setup the fast search for an macroblock *********************************************************************** */ void SetupFastFullPelSearch (short ref, int list) // <-- reference frame parameter, list0 or 1 { short pmv[2]; pel_t orig_blocks[256], *orgptr=orig_blocks, *refptr, *tem; // created pointer tem int offset_x, offset_y, x, y, range_partly_outside, ref_x, ref_y, pos, abs_x, abs_y, bindex, blky; int LineSadBlk0, LineSadBlk1, LineSadBlk2, LineSadBlk3; int max_width, max_height; int img_width, img_height; StorablePicture *ref_picture; pel_t *ref_pic; int** block_sad = BlockSAD[list][ref][7]; int search_range = max_search_range[list][ref]; int max_pos = (2*search_range+1) * (2*search_range+1); int list_offset = ((img->MbaffFrameFlag)&&(img->mb_data[img->current_mb_nr].mb_field))? img->current_mb_nr%2 ? 4 : 2 : 0; int apply_weights = ( (active_pps->weighted_pred_flag && (img->type == P_SLICE || img->type == SP_SLICE)) || (active_pps->weighted_bipred_idc && (img->type == B_SLICE))); ref_picture = listX[list+list_offset][ref]; //===== Use weighted Reference for ME ==== if (apply_weights && input->UseWeightedReferenceME) ref_pic = ref_picture->imgY_11_w; else ref_pic = ref_picture->imgY_11; max_width = ref_picture->size_x - 17; max_height = ref_picture->size_y - 17; img_width = ref_picture->size_x; img_height = ref_picture->size_y; //===== get search center: predictor of 16x16 block ===== SetMotionVectorPredictor (pmv, enc_picture->ref_idx, enc_picture->mv, ref, list, 0, 0, 16, 16); search_center_x[list][ref] = pmv[0] / 4; search_center_y[list][ref] = pmv[1] / 4; if (!input->rdopt) { //--- correct center so that (0,0) vector is inside --- search_center_x[list][ref] = max(-search_range, min(search_range, search_center_x[list][ref])); search_center_y[list][ref] = max(-search_range, min(search_range, search_center_y[list][ref])); } search_center_x[list][ref] += img->opix_x; search_center_y[list][ref] += img->opix_y; offset_x = search_center_x[list][ref]; offset_y = search_center_y[list][ref]; //===== copy original block for fast access ===== for (y = img->opix_y; y < img->opix_y+16; y++) for (x = img->opix_x; x < img->opix_x+16; x++) *orgptr++ = imgY_org [y][x]; //===== check if whole search range is inside image ===== if (offset_x >= search_range && offset_x <= max_width - search_range && offset_y >= search_range && offset_y <= max_height - search_range ) { range_partly_outside = 0; PelYline_11 = FastLine16Y_11; } else { range_partly_outside = 1; } //===== determine position of (0,0)-vector ===== if (!input->rdopt) { ref_x = img->opix_x - offset_x; ref_y = img->opix_y - offset_y; for (pos = 0; pos < max_pos; pos++) { if (ref_x == spiral_search_x[pos] && ref_y == spiral_search_y[pos]) { pos_00[list][ref] = pos; break; } } } //===== loop over search range (spiral search): get blockwise SAD ===== **// =====THIS IS THE PART WHERE NESTED FOR STARTS=====** for (pos = 0; pos < max_pos; pos++) // OUTERMOST FOR LOOP { abs_y = offset_y + spiral_search_y[pos]; abs_x = offset_x + spiral_search_x[pos]; if (range_partly_outside) { if (abs_y >= 0 && abs_y <= max_height && abs_x >= 0 && abs_x <= max_width ) { PelYline_11 = FastLine16Y_11; } else { PelYline_11 = UMVLine16Y_11; } } orgptr = orig_blocks; bindex = 0; for (blky = 0; blky < 4; blky++) // SECOND FOR LOOP { LineSadBlk0 = LineSadBlk1 = LineSadBlk2 = LineSadBlk3 = 0; for (y = 0; y < 4; y++) //INNERMOST FOR LOOP WHICH I WANT TO PARALLELIZE { refptr = PelYline_11 (ref_pic, abs_y++, abs_x, img_height, img_width); LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk0 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk1 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk2 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; LineSadBlk3 += byte_abs [*refptr++ - *orgptr++]; } block_sad[bindex++][pos] = LineSadBlk0; block_sad[bindex++][pos] = LineSadBlk1; block_sad[bindex++][pos] = LineSadBlk2; block_sad[bindex++][pos] = LineSadBlk3; } } //===== combine SAD's for larger block types ===== SetupLargerBlocks (list, ref, max_pos); //===== set flag marking that search setup have been done ===== search_setup_done[list][ref] = 1; } #endif // _FAST_FULL_ME_

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• Using javascript to limit survey choices to three unique values

  - by leanne

  I'm required to use a limited survey application, and have to adapt the provided code to meet more advanced functionality. I need to create a weighted ranking question, so users can select their top three choices and the data will go into the survey application and be accessible in the survey reports. The application only supports 2 types of questions (text fill & multiple choice) but I can alter the code, as long as it still sends the form data back to the survey application. The code is set up so it will show a drop-down menu of 0-3 for each option. Now I want to limit the user's choices so they can only select one "1" "2" or "3", three choices total. Ideally, if the user already had "2" selected for one option and they tried to select it for another option, it would set the first "2" as "0" or blank. Is this possible to do with javascript? If so, does anyone know of a site that might show code like this, or provide similar enough examples that I could adapt it? Current code here: <html> <head><title>Survey</title></head> <!-- Changes - remove br to put dropdown next to text for each item. Switch text & dropdown order for each item. - add comments to separate each question - removed blue title font - add instructions Goals - limit choices to one 1 one 2 and one 3, three choices total. --> <link href="---" rel="stylesheet" type="text/css"> <body bgcolor="#3c76a3"> <!-- TRANSITIONAL DIALOG BOX --> <table border="0" align="center" cellpadding="0" cellspacing="0" style="background-attachment: scroll; background-color: #3c76a3; background-repeat: no-repeat; background-position: left top;" bgcolor="#3c76a3" topmargin="0" marginwidth="0" marginheight="0" width="100%" height="100%"> <tr> <td> <table border="0" align="center" cellpadding="0" cellspacing="0" id="survey"> <tr> <td><p>&nbsp;</p> <!-- HEADER END --> <!-- FORM START TAG --><form name="survey" action="---" method="POST"> <FONT face="Verdana, Arial, Helvetica, sans-serif"> <b>survey</b><hr> <!-- 1 --> <input type=hidden name="Buy R.J. a DeLorean_multiple_answers" value="one"> <font size=2><select name="Buy R.J. a DeLorean" SIZE=1> <option value=""> <option value="0">0 <option value="1">1 <option value="2">2 <option value="3">3 </select></font> <input type="hidden" name="Buy R.J. a DeLorean_help" value=""> <b><font size=2>Buy R.J. a DeLorean</font></b> <hr size=1> <!-- 2 --> <input type=hidden name="Fill Lisa's office with marshmallows._multiple_answers" value="one"> <font size=2><select name="Fill Lisa's office with marshmallows." SIZE=1> <option value=""> <option value="0">0 <option value="1">1 <option value="2">2 <option value="3">3 </select></font> <input type="hidden" name="Fill Lisa's office with marshmallows._help" value=""> <b><font size=2>Fill Lisa's office with marshmallows.</font></b> <hr size=1> <!-- 3 --> <input type=hidden name="Install a beer fridge in everyone's filing cabinets._multiple_answers" value="one"> <font size=2><select name="Install a beer fridge in everyone's filing cabinets." SIZE=1> <option value=""> <option value="0">0 <option value="1">1 <option value="2">2 <option value="3">3 </select></font> <input type="hidden" name="Install a beer fridge in everyone's filing cabinets._help" value=""> <b><font size=2>Install a beer fridge in everyone's filing cabinets.</font></b> <hr size=1> <!-- 4 --> <input type=hidden name="Buy a company Cessna_multiple_answers" value="one"> <font size=2><select name="Buy a company Cessna" SIZE=1> <option value=""> <option value="0">0 <option value="1">1 <option value="2">2 <option value="3">3 </select></font> <input type="hidden" name="Buy a company Cessna_help" value=""> <b><font size=2>Buy a company Cessna</font></b><br> <hr size=1> <!-- 5 --> <input type=hidden name="Replace Conf2's chairs with miniature ponies._multiple_answers" value="one"> <font size=2><select name="Replace Conf2's chairs with miniature ponies." SIZE=1> <option value=""> <option value="0">0 <option value="1">1 <option value="2">2 <option value="3">3 </select></font> <input type="hidden" name="Replace Conf2's chairs with miniature ponies._help" value=""> <b><font size=2>Replace Conf2's chairs with miniature ponies.</font></b> <hr size=1> <input type="hidden" name="question_names" value="{Buy R.J. a DeLorean} {Fill Lisa's office with marshmallows.} {Install a beer fridge in everyone's filing cabinets.} {Buy a company Cessna} {Replace Conf2's chairs with miniature ponies.}"> <p align="right"><input type="image" BORDER=0 title="Save Changes" alt="Save Changes" src="---" name="button_save_changes"> <input type="hidden" name="showconfirm" value="T"> <input type="hidden" name="showresults" value="F"> <input type="hidden" name="preventdupesmemberid" value="T"> <input type="hidden" name="preventdupesip" value="F"> <input type="hidden" name="numberquestions" value="F"> <input type="hidden" name="destinationurl" value=""> <input type="hidden" name="original_survey_id" value="62"> <!-- FORM END TAG --></form> <!-- FOOTER START --> </td> </tr> </table> </td> </tr> </table> <!-- END HEADER --> </body> </html>

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• Converting linear colors to SRGB shows banding in FFmpeg

  - by user1863947

  When I convert an EXR file sequence with x264 using FFmpeg and convert the colorspace from linear to SRGB (with gamma 0.45454545) I get some heavy banding issues (most visible on a dark gradient). Here is the ffmpeg command I use: C:/ffmpeg.exe -y -i C:/seq_v001.%04d.exr -vf lutrgb=r=gammaval(0.45454545):g=gammaval(0.45454545):b=gammaval(0.45454545) -vcodec libx264 -pix_fmt yuv420p -preset slow -crf 18 -r 25 C:/out.mov Here is the output: ffmpeg version N-47062-g26c531c Copyright (c) 2000-2012 the FFmpeg developers built on Nov 25 2012 12:25:21 with gcc 4.7.2 (GCC) configuration: --enable-gpl --enable-version3 --disable-pthreads --enable-runtime-cpudetect --enable-avisynth --enable-bzlib --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libfreetype --enable-libgsm --enable-libmp3lame --enable-libnut --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libspeex --enable-libtheora --enable-libutvideo --enable-libvo-aacenc --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libxavs --enable-libxvid --enable-zlib libavutil 52. 9.100 / 52. 9.100 libavcodec 54. 77.100 / 54. 77.100 libavformat 54. 37.100 / 54. 37.100 libavdevice 54. 3.100 / 54. 3.100 libavfilter 3. 23.102 / 3. 23.102 libswscale 2. 1.102 / 2. 1.102 libswresample 0. 17.101 / 0. 17.101 libpostproc 52. 2.100 / 52. 2.100 Input #0, image2, from 'C:/seq_v001.%04d.exr': Duration: 00:00:09.60, start: 0.000000, bitrate: N/A Stream #0:0: Video: exr, rgb48le, 960x540 [SAR 1:1 DAR 16:9], 25 fps, 25 tbr, 25 tbn, 25 tbc [libx264 @ 0000000004d11540] using SAR=1/1 [libx264 @ 0000000004d11540] using cpu capabilities: MMX2 SSE2Fast SSSE3 FastShuffle SSE4.2 [libx264 @ 0000000004d11540] profile High, level 3.1 [libx264 @ 0000000004d11540] 264 - core 128 r2216 198a7ea - H.264/MPEG-4 AVC codec - Copyleft 2003-2012 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=umh subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=18 lookahead_threads=3 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=2 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=18.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mov, to 'C:/out.mov': Metadata: encoder : Lavf54.37.100 Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p, 960x540 [SAR 1:1 DAR 16:9], q=-1--1, 12800 tbn, 25 tbc Stream mapping: Stream #0:0 -> #0:0 (exr -> libx264) Press [q] to stop, [?] for help [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute frame= 16 fps=0.0 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute frame= 34 fps= 33 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute frame= 52 fps= 34 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute frame= 68 fps= 34 q=0.0 size= 0kB time=00:00:00.00 bitrate= 0.0kbits/s Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute frame= 85 fps= 33 q=23.0 size= 47kB time=00:00:00.44 bitrate= 867.5kbits/s Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute frame= 104 fps= 34 q=23.0 size= 94kB time=00:00:01.20 bitrate= 640.3kbits/s Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute frame= 121 fps= 34 q=23.0 size= 133kB time=00:00:01.88 bitrate= 577.8kbits/s Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute frame= 139 fps= 34 q=23.0 size= 172kB time=00:00:02.60 bitrate= 543.4kbits/s Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute frame= 157 fps= 34 q=23.0 size= 213kB time=00:00:03.32 bitrate= 525.6kbits/s Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute frame= 175 fps= 34 q=23.0 size= 254kB time=00:00:04.04 bitrate= 516.0kbits/s Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute frame= 193 fps= 35 q=23.0 size= 287kB time=00:00:04.76 bitrate= 494.6kbits/s Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute frame= 211 fps= 35 q=23.0 size= 332kB time=00:00:05.48 bitrate= 496.4kbits/s Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute [exr @ 000000000dffa660] Found more than one compression attribute [exr @ 000000000dffaaa0] Found more than one compression attribute [exr @ 000000000dffaf00] Found more than one compression attribute [exr @ 000000000dffb340] Found more than one compression attribute [exr @ 000000000dffb7a0] Found more than one compression attribute [exr @ 000000000dffbbe0] Found more than one compression attribute [exr @ 000000000dffc040] Found more than one compression attribute [exr @ 000000000dff8c40] Found more than one compression attribute [exr @ 000000000dff90c0] Found more than one compression attribute [exr @ 000000000dff9520] Found more than one compression attribute [exr @ 000000000dff9960] Found more than one compression attribute [exr @ 000000000dff9dc0] Found more than one compression attribute [exr @ 000000000dffa200] Found more than one compression attribute frame= 228 fps= 34 q=23.0 size= 421kB time=00:00:06.16 bitrate= 559.8kbits/s frame= 240 fps= 32 q=-1.0 Lsize= 708kB time=00:00:09.52 bitrate= 609.3kbits/s video:705kB audio:0kB subtitle:0 global headers:0kB muxing overhead 0.505636% [libx264 @ 0000000004d11540] frame I:2 Avg QP:15.07 size: 18186 [libx264 @ 0000000004d11540] frame P:73 Avg QP:16.51 size: 3719 [libx264 @ 0000000004d11540] frame B:165 Avg QP:18.38 size: 2502 [libx264 @ 0000000004d11540] consecutive B-frames: 2.5% 3.3% 42.5% 51.7% [libx264 @ 0000000004d11540] mb I I16..4: 46.2% 33.3% 20.4% [libx264 @ 0000000004d11540] mb P I16..4: 6.8% 2.0% 0.6% P16..4: 29.4% 10.5% 4.6% 0.0% 0.0% skip:46.1% [libx264 @ 0000000004d11540] mb B I16..4: 1.8% 0.7% 0.2% B16..8: 40.9% 6.5% 0.3% direct: 1.2% skip:48.5% L0:52.0% L1:47.5% BI: 0.5% [libx264 @ 0000000004d11540] 8x8 transform intra:24.7% inter:81.3% [libx264 @ 0000000004d11540] direct mvs spatial:93.3% temporal:6.7% [libx264 @ 0000000004d11540] coded y,uvDC,uvAC intra: 10.7% 31.4% 24.9% inter: 2.3% 9.0% 2.9% [libx264 @ 0000000004d11540] i16 v,h,dc,p: 83% 11% 6% 1% [libx264 @ 0000000004d11540] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 9% 52% 6% 4% 4% 5% 5% 5% [libx264 @ 0000000004d11540] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 22% 11% 44% 5% 4% 3% 3% 4% 3% [libx264 @ 0000000004d11540] i8c dc,h,v,p: 69% 15% 15% 2% [libx264 @ 0000000004d11540] Weighted P-Frames: Y:0.0% UV:0.0% [libx264 @ 0000000004d11540] ref P L0: 48.9% 0.1% 16.8% 17.0% 11.3% 5.8% [libx264 @ 0000000004d11540] ref B L0: 57.7% 21.9% 13.9% 6.4% [libx264 @ 0000000004d11540] ref B L1: 82.4% 17.6% [libx264 @ 0000000004d11540] kb/s:600.61 For me it looks like it converts the video first and afterwards applies the gamma correction on 8-bit clipped video. Does someone have an idea?

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• Java JPanel not showing up....

  - by user69514

  I'm not sure what I am doing wrong, but the text for my JPanels is not showing up. I just get the question number text, but the question is not showing up. Any ideas what I am doing wrong? import java.awt.*; import java.awt.event.*; import javax.swing.*; import javax.swing.event.*; class NewFrame extends JFrame { JPanel centerpanel; // For the questions. CardLayout card; // For the centerpanel. JTextField tf; // Used in question 1. boolean // Store selections for Q2. q2Option1, q2Option2, q2Option3, q2Option4; JList q4List; // For question 4. double // Score on each question. q1Score = 0, q2Score = 0, q3Score = 0, q4Score = 0; // Constructor. public NewFrame (int width, int height) { this.setTitle ("Snoot Club Membership Test"); this.setResizable (true); this.setSize (width, height); Container cPane = this.getContentPane(); // cPane.setLayout (new BorderLayout()); // First, a welcome message, as a Label. JLabel L = new JLabel ("<html><b>Are you elitist enough for our exclusive club?" + " <br>Fill out the form and find out</b></html>"); L.setForeground (Color.blue); cPane.add (L, BorderLayout.NORTH); // Now the center panel with the questions. card = new CardLayout (); centerpanel = new JPanel (); centerpanel.setLayout (card); centerpanel.setOpaque (false); // Each question will be created in a separate method. // The cardlayout requires a label as second parameter. centerpanel.add (firstQuestion (), "1"); centerpanel.add (secondQuestion(), "2"); centerpanel.add (thirdQuestion(), "3"); centerpanel.add (fourthQuestion(), "4"); cPane.add (centerpanel, BorderLayout.CENTER); // Next, a panel of four buttons at the bottom. // The four buttons: quit, submit, next-question, previous-question. JPanel bottomPanel = getBottomPanel (); cPane.add (bottomPanel, BorderLayout.SOUTH); // Finally, show the frame. this.setVisible (true); } // No-parameter constructor. public NewFrame () { this (500, 300); } // The first question uses labels for the question and // gets input via a textfield. A panel containing all // these things is returned. The question asks for // a vacation destination: the more exotic the location, // the higher the score. JPanel firstQuestion () { // We will package everything into a panel and return the panel. JPanel subpanel = new JPanel (); // We will place things in a single column, so // a GridLayout with one column is appropriate. subpanel.setLayout (new GridLayout (8,1)); JLabel L1 = new JLabel ("Question 1:"); L1.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L1); JLabel L2 = new JLabel (" Select a vacation destination"); L2.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L2); JLabel L3 = new JLabel (" 1. Baltimore"); L3.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L3); JLabel L4 = new JLabel (" 2. Disneyland"); L4.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L4); JLabel L5 = new JLabel (" 3. Grand Canyon"); L5.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L5); JLabel L6 = new JLabel (" 4. French Riviera"); L6.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L6); JLabel L7 = new JLabel ("Enter 1,2,3 or 4 below:"); L7.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L7); // Here's the textfield to get user-input. tf = new JTextField (); tf.addActionListener ( new ActionListener () { // This interface has only one method. public void actionPerformed (ActionEvent a) { String q1String = a.getActionCommand(); if (q1String.equals ("2")) q1Score = 2; else if (q1String.equals ("3")) q1Score = 3; else if (q1String.equals ("4")) q1Score = 4; else q1Score = 1; } } ); subpanel.add (tf); return subpanel; } // For the second question, a collection of checkboxes // will be used. More than one selection can be made. // A listener is required for each checkbox. The state // of each checkbox is recorded. JPanel secondQuestion () { JPanel subpanel = new JPanel (); subpanel.setLayout (new GridLayout (7,1)); JLabel L1 = new JLabel ("Question 2:"); L1.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L1); JLabel L2 = new JLabel (" Select ONE OR MORE things that "); L2.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L2); JLabel L3 = new JLabel (" you put into your lunch sandwich"); L3.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L3); // Initialize the selections to false. q2Option1 = q2Option2 = q2Option3 = q2Option4 = false; // First checkbox. JCheckBox c1 = new JCheckBox ("Ham, beef or turkey"); c1.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JCheckBox c = (JCheckBox) i.getSource(); q2Option1 = c.isSelected(); } } ); subpanel.add (c1); // Second checkbox. JCheckBox c2 = new JCheckBox ("Cheese"); c2.addItemListener ( new ItemListener () { // This is where we will react to a change in checkbox. public void itemStateChanged (ItemEvent i) { JCheckBox c = (JCheckBox) i.getSource(); q2Option2 = c.isSelected(); } } ); subpanel.add (c2); // Third checkbox. JCheckBox c3 = new JCheckBox ("Sun-dried Arugula leaves"); c3.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JCheckBox c = (JCheckBox) i.getSource(); q2Option3 = c.isSelected(); } } ); subpanel.add (c3); // Fourth checkbox. JCheckBox c4 = new JCheckBox ("Lemon-enhanced smoked Siberian caviar"); c4.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JCheckBox c = (JCheckBox) i.getSource(); q2Option4 = c.isSelected(); } } ); subpanel.add (c4); return subpanel; } // The third question allows only one among four choices // to be selected. We will use radio buttons. JPanel thirdQuestion () { JPanel subpanel = new JPanel (); subpanel.setLayout (new GridLayout (6,1)); JLabel L1 = new JLabel ("Question 3:"); L1.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L1); JLabel L2 = new JLabel (" And which mustard do you use?"); L2.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L2); // First, create the ButtonGroup instance. // We will add radio buttons to this group. ButtonGroup bGroup = new ButtonGroup(); // First checkbox. JRadioButton r1 = new JRadioButton ("Who cares?"); r1.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JRadioButton r = (JRadioButton) i.getSource(); if (r.isSelected()) q3Score = 1; } } ); bGroup.add (r1); subpanel.add (r1); // Second checkbox. JRadioButton r2 = new JRadioButton ("Safeway Brand"); r2.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JRadioButton r = (JRadioButton) i.getSource(); if (r.isSelected()) q3Score = 2; } } ); bGroup.add (r2); subpanel.add (r2); // Third checkbox. JRadioButton r3 = new JRadioButton ("Fleishman's"); r3.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JRadioButton r = (JRadioButton) i.getSource(); if (r.isSelected()) q3Score = 3; } } ); bGroup.add (r3); subpanel.add (r3); // Fourth checkbox. JRadioButton r4 = new JRadioButton ("Grey Poupon"); r4.addItemListener ( new ItemListener () { public void itemStateChanged (ItemEvent i) { JRadioButton r = (JRadioButton) i.getSource(); if (r.isSelected()) q3Score = 4; } } ); bGroup.add (r4); subpanel.add (r4); return subpanel; } // For the fourth question we will use a drop-down Choice. JPanel fourthQuestion () { JPanel subpanel = new JPanel (); subpanel.setLayout (new GridLayout (3,1)); JLabel L1 = new JLabel ("Question 4:"); L1.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L1); JLabel L2 = new JLabel (" Your movie preference, among these:"); L2.setFont (new Font ("SansSerif", Font.ITALIC, 15)); subpanel.add (L2); // Create a JList with options. String[] movies = { "Lethal Weapon IV", "Titanic", "Saving Private Ryan", "Le Art Movie avec subtitles"}; q4List = new JList (movies); q4Score = 1; q4List.addListSelectionListener ( new ListSelectionListener () { public void valueChanged (ListSelectionEvent e) { q4Score = 1 + q4List.getSelectedIndex(); } } ); subpanel.add (q4List); return subpanel; } void computeResult () { // Clear the center panel. centerpanel.removeAll(); // Create a new panel to display in the center. JPanel subpanel = new JPanel (new GridLayout (5,1)); // Score on question 1. JLabel L1 = new JLabel ("Score on question 1: " + q1Score); L1.setFont (new Font ("Serif", Font.ITALIC, 15)); subpanel.add (L1); // Score on question 2. if (q2Option1) q2Score += 1; if (q2Option2) q2Score += 2; if (q2Option3) q2Score += 3; if (q2Option4) q2Score += 4; q2Score = 0.6 * q2Score; JLabel L2 = new JLabel ("Score on question 2: " + q2Score); L2.setFont (new Font ("Serif", Font.ITALIC, 15)); subpanel.add (L2); // Score on question 3. JLabel L3 = new JLabel ("Score on question 3: " + q3Score); L3.setFont (new Font ("Serif", Font.ITALIC, 15)); subpanel.add (L3); // Score on question 4. JLabel L4 = new JLabel ("Score on question 4: " + q4Score); L4.setFont (new Font ("Serif", Font.ITALIC, 15)); subpanel.add (L4); // Weighted score. double avg = (q1Score + q2Score + q3Score + q4Score) / (double) 4; JLabel L5; if (avg <= 3.5) L5 = new JLabel ("Your average score: " + avg + " - REJECTED!"); else L5 = new JLabel ("Your average score: " + avg + " - WELCOME!"); L5.setFont (new Font ("Serif", Font.BOLD, 20)); //L5.setAlignment (JLabel.CENTER); subpanel.add (L5); // Now add the new subpanel. centerpanel.add (subpanel, "5"); // Need to mark the centerpanel as "altered" centerpanel.invalidate(); // Everything "invalid" (e.g., the centerpanel above) // is now re-computed. this.validate(); } JPanel getBottomPanel () { // Create a panel into which we will place buttons. JPanel bottomPanel = new JPanel (); // A "previous-question" button. JButton backward = new JButton ("Previous question"); backward.setFont (new Font ("Serif", Font.PLAIN | Font.BOLD, 15)); backward.addActionListener ( new ActionListener () { public void actionPerformed (ActionEvent a) { // Go back in the card layout. card.previous (centerpanel); } } ); bottomPanel.add (backward); // A forward button. JButton forward = new JButton ("Next question"); forward.setFont (new Font ("Serif", Font.PLAIN | Font.BOLD, 15)); forward.addActionListener ( new ActionListener () { public void actionPerformed (ActionEvent a) { // Go forward in the card layout. card.next (centerpanel); } } ); bottomPanel.add (forward); // A submit button. JButton submit = new JButton ("Submit"); submit.setFont (new Font ("Serif", Font.PLAIN | Font.BOLD, 15)); submit.addActionListener ( new ActionListener () { public void actionPerformed (ActionEvent a) { // Perform submit task. computeResult(); } } ); bottomPanel.add (submit); JButton quitb = new JButton ("Quit"); quitb.setFont (new Font ("Serif", Font.PLAIN | Font.BOLD, 15)); quitb.addActionListener ( new ActionListener () { public void actionPerformed (ActionEvent a) { System.exit (0); } } ); bottomPanel.add (quitb); return bottomPanel; } } public class Survey { public static void main (String[] argv) { NewFrame nf = new NewFrame (600, 300); } }

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