Comments (6)
WuZhuoran
commented on July 16, 2024
2
@keishatsai you can try to comment this line to run.
bgr[v0:v1, u0:u1] = eye_image_raw
bgr[v1:v2, u0:u1] = eye_image_annotatedThese 2 line code just put 2 eye image at the left-top corner of frame. I am not sure if your u0,u1 is wrong or the image size is wrong.
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WuZhuoran
commented on July 16, 2024
The error shows that eye_image_raw has different size with u0, u1.
Did you modify any code?
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keishatsai
commented on July 16, 2024
@WuZhuoran Thanks for replying.
I didn't edit any code of this demo code. I just tried to run directly.
Is it because of threading thing? or other possibilities?
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keishatsai
commented on July 16, 2024
@WuZhuoran
Thank you for the reply. I have skipped this error, but got hung at the end.
My input video is about 1536*2048, mp4
I0731 10:40:13.458220 23460 model.py:192] ------------------------------
I0731 10:40:13.458220 23460 model.py:193] Approximate Model Statistics
I0731 10:40:13.459215 23460 model.py:194] ------------------------------
I0731 10:40:13.459215 23460 model.py:195] FLOPS per input: 1,006,288,359.0
I0731 10:40:13.464202 23460 model.py:198] Trainable Parameters: 712,527
I0731 10:40:13.464202 23460 model.py:201] ------------------------------
W0731 10:40:13.470187 23460 deprecation_wrapper.py:119] From D:\GazeML\src\core\checkpoint_manager.py:45: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.
OpenCV: FFMPEG: tag 0x34363248/'H264' is not supported with codec id 27 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x31637661/'avc1'
OpenH264 Video Codec provided by Cisco Systems, Inc.
00000060 [38 FPS] read: 10ms, preproc: 52ms, infer: 27ms, vis: 1ms, proc: 13609ms, latency: 13620ms
00000120 [34 FPS] read: 11ms, preproc: 56ms, infer: 29ms, vis: 1ms, proc: 13547ms, latency: 13559ms
00000180 [33 FPS] read: 13ms, preproc: 59ms, infer: 27ms, vis: 1ms, proc: 13516ms, latency: 13530ms
00000240 [33 FPS] read: 13ms, preproc: 61ms, infer: 28ms, vis: 2ms, proc: 13415ms, latency: 13428ms
00000300 [34 FPS] read: 11ms, preproc: 58ms, infer: 33ms, vis: 2ms, proc: 13545ms, latency: 13557ms
Exception in thread record:
Traceback (most recent call last):
File "C:\Miniconda3\envs\tensorflow-gpu\lib\threading.py", line 916, in _bootstrap_inner
self.run()
File "C:\Miniconda3\envs\tensorflow-gpu\lib\threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "elg_demo.py", line 113, in _record_frame
assert frame_index in data_source._frames
AssertionError
00000360 [34 FPS] read: 9ms, preproc: 57ms, infer: 26ms, vis: 1ms, proc: 13847ms, latency: 13857ms
Video "E:\test.mp4" closed.
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WuZhuoran
commented on July 16, 2024
It seems that you already detected few frames. So you already worked with loading weights.
You problem occurs with
OpenCV: FFMPEG: tag 0x34363248/'H264' is not supported with codec id 27 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x31637661/'avc1'
I believe this is a common issue of opencv with mp4. How about try avi or webm format?
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keishatsai
commented on July 16, 2024
@WuZhuoran
It does because of the problem of video format, so I used ffmpeg to convert it.
Finally, I can run it to the end, but I still got assertion error after detecting few frames.
Anyhow, thanks for all the helps.
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