Comments (7)
No change, i even lowered it to 1, same error. Here you can find the error i get when i change it to 360p:
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your graphics card does not have enough video memory for what the program is trying to use.
I think you can lower the inference size and that should help, or maybe the batch size is too large
Which settings are you using?
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When the program is running i have more than 19GiB of free VRAM. The settings are the standard ones when the program runs the 1st time.
I tried lowering the inference size, at 720p its the same error, but with 360p there comes a much longer error.
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hm, yeah maybe try lowering the batch size, it inherently multiplies the needed vram amount, since it does 16 times as much at the same time
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Sorry, I can't really make sense of this to be honest. @joshinils is correct, a large batch size very quickly depletes your RAM and VRAM, but at 1 this really shouldn't be an issue.
Just out of curiosity: some modules may not handle paths with whitespace very well, could you move the project to one without whitespace?
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Related Issues (20)
- CPU not fully utilized HOT 4
- [feature] blur masks to soften transition between blurred areas and clear video
- Cleanup tasks
- [feature] store detections and use detections file HOT 2
- [feature] export detections mask as black/white image to be used in video processing software
- [feature] export colored mask to distinguish plates and faces after the fact
- Getting an error HOT 3
- Error blurrer HOT 1
- Error
- GPU not fully utilized HOT 3
- `ipython` missing in requirements.txt HOT 1
- weight error HOT 2
- Output Video has stand image HOT 17
- error with `TypeError: unsupported operand type(s) for /: 'tuple' and 'int'` HOT 3
- allow other file types in the gui
- frame_memory option HOT 10
- errors HOT 14
- CLI did not use GPU HOT 3
- DashcamCleaner hangs at 0% when using AMD GPU HOT 5
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