Open wkailiu opened 4 years ago
I never encountered this problem. What version of Tensorflow are you using?
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
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
It is basically the output of ffmpeg and then running OpenPose.
(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 $upperBody (MonocularTotalCapture) lwk@lwk:/MonocularTotalCapture$
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})]