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root@1ce4c2e3ab0e:/people-counting-pose# python video_tracking.py -f 'test_video_03_01.mp4'
WARNING:tensorflow:From /people-counting-pose/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
Instructions for updating:
Pass is_training directly to the network instead of the arg_scope.
WARNING:tensorflow:From /people-counting-pose/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
Instructions for updating:
Pass is_training directly to the network instead of the arg_scope.
2021-05-15 06:10:22.350907: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350940: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350950: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350958: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350966: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX512F instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350973: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/ffmpeg_reader.py", line 283, in ffmpeg_parse_infos
line = [l for l in lines if keyword in l][0]
IndexError: list index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "video_tracking.py", line 74, in
video = VideoFileClip(video_name_input)
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/VideoFileClip.py", line 81, in init
fps_source=fps_source)
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/ffmpeg_reader.py", line 32, in init
fps_source)
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/ffmpeg_reader.py", line 289, in ffmpeg_parse_infos
filename, infos))
OSError: MoviePy error: failed to read the duration of file testset/test_video_03_01.mp4.
Here are the file infos returned by ffmpeg:
ffmpeg version 2.4.2- http://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2014 the FFmpeg developers
built on Oct 9 2014 07:24:56 with gcc 4.8 (Debian 4.8.3-11)
configuration: --enable-gpl --enable-version3 --disable-shared --disable-debug --enable-runtime-cpudetect --enable-libmp3lame --enable-libx264 --enable-libx265 --enable-libwebp --enable-libspeex --enable-libvorbis --enable-libvpx --enable-libfreetype --enable-fontconfig --enable-libxvid --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvo-aacenc --enable-libvo-amrwbenc --enable-gray --enable-libopenjpeg --enable-libopus --disable-ffserver --enable-libass --enable-gnutls --cc=gcc-4.8
libavutil 54. 7.100 / 54. 7.100
libavcodec 56. 1.100 / 56. 1.100
libavformat 56. 4.101 / 56. 4.101
libavdevice 56. 0.100 / 56. 0.100
libavfilter 5. 1.100 / 5. 1.100
libswscale 3. 0.100 / 3. 0.100
libswresample 1. 1.100 / 1. 1.100
libpostproc 53. 0.100 / 53. 0.100
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x37e2700] Format mov,mp4,m4a,3gp,3g2,mj2 detected only with low score of 1, misdetection possible!
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x37e2700] moov atom not found
testset/test_video_03_01.mp4: Invalid data found when processing input
The text was updated successfully, but these errors were encountered:
root@1ce4c2e3ab0e:/people-counting-pose# python video_tracking.py -f 'test_video_03_01.mp4'
WARNING:tensorflow:From /people-counting-pose/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
Instructions for updating:
Pass is_training directly to the network instead of the arg_scope.
WARNING:tensorflow:From /people-counting-pose/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01.
Instructions for updating:
Pass is_training directly to the network instead of the arg_scope.
2021-05-15 06:10:22.350907: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350940: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350950: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350958: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350966: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX512F instructions, but these are available on your machine and could speed up CPU computations.
2021-05-15 06:10:22.350973: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/ffmpeg_reader.py", line 283, in ffmpeg_parse_infos
line = [l for l in lines if keyword in l][0]
IndexError: list index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "video_tracking.py", line 74, in
video = VideoFileClip(video_name_input)
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/VideoFileClip.py", line 81, in init
fps_source=fps_source)
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/ffmpeg_reader.py", line 32, in init
fps_source)
File "/usr/local/lib/python3.6/site-packages/moviepy/video/io/ffmpeg_reader.py", line 289, in ffmpeg_parse_infos
filename, infos))
OSError: MoviePy error: failed to read the duration of file testset/test_video_03_01.mp4.
Here are the file infos returned by ffmpeg:
ffmpeg version 2.4.2- http://johnvansickle.com/ffmpeg/ Copyright (c) 2000-2014 the FFmpeg developers
built on Oct 9 2014 07:24:56 with gcc 4.8 (Debian 4.8.3-11)
configuration: --enable-gpl --enable-version3 --disable-shared --disable-debug --enable-runtime-cpudetect --enable-libmp3lame --enable-libx264 --enable-libx265 --enable-libwebp --enable-libspeex --enable-libvorbis --enable-libvpx --enable-libfreetype --enable-fontconfig --enable-libxvid --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvo-aacenc --enable-libvo-amrwbenc --enable-gray --enable-libopenjpeg --enable-libopus --disable-ffserver --enable-libass --enable-gnutls --cc=gcc-4.8
libavutil 54. 7.100 / 54. 7.100
libavcodec 56. 1.100 / 56. 1.100
libavformat 56. 4.101 / 56. 4.101
libavdevice 56. 0.100 / 56. 0.100
libavfilter 5. 1.100 / 5. 1.100
libswscale 3. 0.100 / 3. 0.100
libswresample 1. 1.100 / 1. 1.100
libpostproc 53. 0.100 / 53. 0.100
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x37e2700] Format mov,mp4,m4a,3gp,3g2,mj2 detected only with low score of 1, misdetection possible!
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x37e2700] moov atom not found
testset/test_video_03_01.mp4: Invalid data found when processing input
The text was updated successfully, but these errors were encountered: