Comments (5)
@WuZhuoran
So did you encounter this also? Did you kill the process normally? Actually, I am not quite sure that I have finished training or not. If I kill it, and it means that I have to restart training over and over again.
@keishatsai I did encounter before. But at most time, I can stop the process normally.
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I am not sure if this program can run on Windows10.
But how many UnityEyes images do you use?
After you stuck after saving point, did you check if the program is still running? Did you check nvidia-sim
whether the elg model is still using full gpu?
Exiting thread problem can be solved by killing process.
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Hi @WuZhuoran ,
Thanks for replying. It did use nearly full gpu (7G over 8G memory) while it hung. I made nvidia-smi to check every 5 secs, so I know.
Currently, I prepared 7524 images to train.
What do you mean by " Exiting thread problem can be solved by killing process. " ?
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I mean, if you found you cannot stop the process. You can use command:
kill -9 ${PROCESS_ID}
to exit the process.
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@WuZhuoran
So did you encounter this also? Did you kill the process normally? Actually, I am not quite sure that I have finished training or not. If I kill it, and it means that I have to restart training over and over again.
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Related Issues (20)
- Theta and Phi
- Train-data parameter in elg-demo file
- Video_out is not defined when using record_video for testing elg demo
- Running demo elg using CPU gives overlapping frame of original image and segmented eye image instead of segmented eye image in top-left corner
- Could you share code to test on different data sets?
- can_use_eye, can_use_eyelid and can_use_iris in elg_demo.py are False HOT 1
- Stuck with --from_video option HOT 3
- Could you please tell me where the pre-training weight should be placed in the Windows system?
- The project only has elg demo. how to run dpg demo
- RuntimeError: Error deserializing object of type int64 while deserializing a floating point number.
- Some questions about the 'unityeyes.py'
- iris_centre is not mean of iris_landmarks?
- About train/test data in MPIIGaze.h5
- Collaboration offer to help progress
- Gaze Vector Accuracy HOT 1
- elgo_demo.py stucks after video is closed HOT 1
- python and tensorflow version
- [TUTORIAL] How to save ELG model to .onnx and further to TensorRT .engine HOT 1
- Long proc time when running elg_demo.py on CPU HOT 1
- Can not get pre-trained weights
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