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Hello, I am trying to replicate your method and i encountered some error when preparing the dataset.
First, i downloaded your extracted raw frames, but after extracting it, it is locked and does not allow me access to the files.
Then i tried extracting the raw frames, but when I run this code to extract the frames, i get the error below data/rawframes&opticalflow_extraction.py
Here is the error message
get videos list done!
mapping ...
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
{} read error!
Inizialize capturing of BaseballSwingAnalysis_swing_baseball_f_nm_np1_fr_med_15.avi.
{} read error!
{} read error!
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/home/arptracker/.local/lib/python3.10/site-packages/skvideo/io/ffmpeg.py", line 276, in _read_frame_data
assert len(arr) == framesize
AssertionError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/arptracker/Vincent/action_recognition/HMDB-51/Action_Recognition_Two_Stream_HMDB51/rawframes.py", line 70, in dense_flow
videocapture=skvideo.io.vread(video_path)
File "/home/arptracker/.local/lib/python3.10/site-packages/skvideo/io/io.py", line 148, in vread
for idx, frame in enumerate(reader.nextFrame()):
File "/home/arptracker/.local/lib/python3.10/site-packages/skvideo/io/ffmpeg.py", line 303, in nextFrame
yield self._readFrame()
File "/home/arptracker/.local/lib/python3.10/site-packages/skvideo/io/ffmpeg.py", line 287, in _readFrame
s = self._read_frame_data()
File "/home/arptracker/.local/lib/python3.10/site-packages/skvideo/io/ffmpeg.py", line 281, in _read_frame_data
raise RuntimeError("%s" % (err1,))
RuntimeError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/arptracker/anaconda3/lib/python3.10/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/home/arptracker/anaconda3/lib/python3.10/multiprocessing/pool.py", line 48, in mapstar
return list(map(*args))
File "/home/arptracker/Vincent/action_recognition/HMDB-51/Action_Recognition_Two_Stream_HMDB51/rawframes.py", line 72, in dense_flow
print('{} read error! ').format(video_name)
AttributeError: 'NoneType' object has no attribute 'format'
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/arptracker/Vincent/action_recognition/HMDB-51/Action_Recognition_Two_Stream_HMDB51/rawframes.py", line 191, in <module>
pool.map(dense_flow,zip(video_list,flows_dirs,flows_dirs_cls,[step]*len(video_list),[bound]*len(video_list)))
File "/home/arptracker/anaconda3/lib/python3.10/multiprocessing/pool.py", line 367, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/home/arptracker/anaconda3/lib/python3.10/multiprocessing/pool.py", line 774, in get
raise self._value
I will appreciate if
You can share the link with the extracted raw frames that is not locked or
Help me know how i can address the above error.
Thanks.
The text was updated successfully, but these errors were encountered:
Hi @Gbouna, I tried re-downloading and extracting the frames and it is not locked, try using 7zip to extract the files.
Regarding the error with the code it seems there are some problems reading the video files, double check that the videos are in the folder ./data/hmdb51/videos.
Hello, I am trying to replicate your method and i encountered some error when preparing the dataset.
First, i downloaded your extracted raw frames, but after extracting it, it is locked and does not allow me access to the files.
Then i tried extracting the raw frames, but when I run this code to extract the frames, i get the error below
data/rawframes&opticalflow_extraction.py
Here is the error message
I will appreciate if
Thanks.
The text was updated successfully, but these errors were encountered: