Closed Wangzzy52 closed 6 months ago
Hi @Wangzzy52,
This is most likely some sort of issue with your computing environment. Can you share more details regarding your computing environment (e.g., operating system, amount of RAM you have, number of CPUs)?
If you're on Linux, you can easily check how much CPU resources and RAM you're using with top
, or alternatively free -g
to focus on just RAM in gigabyetes (-g
), and CPU information with lscpu
.
This issue seems inactive, so I'll go ahead and close it. Hopefully you were able to figure this out in your computing environment @Wangzzy52.
Preprocessing dataset... 0%| | 0/6 [00:00<?, ?it/sP rocess Process-6: Traceback (most recent call last): File "D:\zh-TW\An\envs\rppg-toolbox\lib\multiprocessing\process.py", line 315, in _bootstrap self.run() File "D:\zh-TW\An\envs\rppg-toolbox\lib\multiprocessing\process.py", line 108, in run self._target(*self._args, **self._kwargs) File "e:\桌面\rPPG-Toolbox-main\dataset\data_loader\PURELoader.py", line 108, in preprocess_dataset_subprocess frames = self.read_video( File "e:\桌面\rPPG-Toolbox-main\dataset\data_loader\PURELoader.py", line 136, in read_video img = cv2.imread(png_path) cv2.error: OpenCV(4.5.2) C:\Users\runneradmin\AppData\Local\Temp\pip-req-build-_8k9tw8n\opencv\modules\core\src\alloc.cpp:73: error: (-4:Insufficient memory) Failed to allocate 921600 bytes in function 'cv::OutOfMemoryError'