CMU-Perceptual-Computing-Lab / MonocularTotalCapture

Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
http://domedb.perception.cs.cmu.edu/mtc.html
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run_pipeline.sh: line 51: 5400 Killed #29

Open wkailiu opened 4 years ago

wkailiu commented 4 years ago

(MonocularTotalCapture) lwk@lwk:/MonocularTotalCapture$ bash run_pipeline.sh example_dance Camera intrinsics not specified, use default. 'POF/calib.json' -> '/home/lwk/MonocularTotalCapture/data/example_dance/calib.json' ffmpeg version 4.0 Copyright (c) 2000-2018 the FFmpeg developers built with gcc 7.2.0 (crosstool-NG fa8859cb) configuration: --prefix=/home/lwk/.conda/envs/MonocularTotalCapture --cc=/opt/conda/conda-bld/ffmpeg_1531088893642/_build_env/bin/x86_64-conda_cos6-linux-gnu-cc --disable-doc --enable-shared --enable-static --enable-zlib --enable-pic --enable-gpl --enable-version3 --disable-nonfree --enable-hardcoded-tables --enable-avresample --enable-libfreetype --disable-openssl --disable-gnutls --enable-libvpx --enable-pthreads --enable-libopus --enable-postproc --disable-libx264 libavutil 56. 14.100 / 56. 14.100 libavcodec 58. 18.100 / 58. 18.100 libavformat 58. 12.100 / 58. 12.100 libavdevice 58. 3.100 / 58. 3.100 libavfilter 7. 16.100 / 7. 16.100 libavresample 4. 0. 0 / 4. 0. 0 libswscale 5. 1.100 / 5. 1.100 libswresample 3. 1.100 / 3. 1.100 libpostproc 55. 1.100 / 55. 1.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'example_dance.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf56.40.101 Duration: 00:00:16.08, start: 0.000000, bitrate: 4619 kb/s Stream #0:0(eng): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1920x1080, 4485 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default) Metadata: handler_name : VideoHandler Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 128 kb/s (default) Metadata: handler_name : SoundHandler Stream mapping: Stream #0:0 -> #0:0 (h264 (native) -> png (native)) Press [q] to stop, [?] for help Output #0, image2, to 'raw_image/exampledance%08d.png': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf58.12.100 Stream #0:0(eng): Video: png, rgb24, 1920x1080, q=2-31, 200 kb/s, 25 fps, 25 tbn, 25 tbc (default) Metadata: handler_name : VideoHandler encoder : Lavc58.18.100 png frame= 402 fps= 45 q=-0.0 Lsize=N/A time=00:00:16.08 bitrate=N/A speed= 1.8x
video:849491kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown Starting OpenPose demo... Configuring OpenPose... Starting thread(s)... Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0. OpenPose demo successfully finished. Total time: 49.841117 seconds. Openpose output collected: data dimension: (402, 402, 402, 402, 402, 402) set bscale2d constant 2019-11-29 15:27:47.802354: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2019-11-29 15:27:48.434013: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2019-11-29 15:27:48.434294: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545 pciBusID: 0000:01:00.0 totalMemory: 10.76GiB freeMemory: 10.60GiB 2019-11-29 15:27:48.434308: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5) Discarded 371 items Initialized 184 variables from ./snapshots/Final_qual_domeCOCO_chest_noPAF2D/model-390000. Discarded 371 items Initialized 184 variables from ./snapshots/Final_qual_hand_clear_zoom/model-160000. Start running frame No. 00000001 -1 run_pipeline.sh: line 51: 5400 Killed python3 save_total_sequence.py -s $seqName -p $dataDir/$seqName $upperBody (MonocularTotalCapture) lwk@lwk:/MonocularTotalCapture$


sendpix0

what's the problem here? bheatmap2d, bPAF = [np.squeeze() for _ in sess.run([data['bheatmap_2d'], data['bPAF']], feed_dict={data['bimage_crop']: bimage_crop_v_feed})]

xiangdonglai commented 4 years ago

I never encountered this problem. What version of Tensorflow are you using?

kartikJ-9 commented 4 years ago

Can you share a screenshot of run_pipeline.sh. For the openpose directory, I am specifying the directory path, but I am getting a error saying "it's a directory". Do I have to include a $ sign, I am new to colab and Linux. Sorry for this very silly doubt, but please help me out here. Thanks

xiangdonglai commented 4 years ago

Can you share a screenshot of run_pipeline.sh. For the openpose directory, I am specifying the directory path, but I am getting a error saying "it's a directory". Do I have to include a $ sign, I am new to colab and Linux. Sorry for this very silly doubt, but please help me out here. Thanks

Screen Shot 2020-04-26 at 11 29 03 PM It is basically the output of ffmpeg and then running OpenPose.