Comments (3)
I think that this is because your 720x1280 input is too big for your GPU to handle TensorRT weight transfer. Generally, 720x1280 = 921,600 pixels, which is 3 times more pixels than 480x640=307200. It is a huge gap between these two resolutions.
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I can try to develop a new feature that the whole code runs with only partition frames (1/3 frame), which will not consider any full-frame mode. i.e. it only considers 1/3 of the original full frame memory for each neural network input. This may make higher-resolution image processing work on less GPU memory. However, this will slow down the program a little bit.
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This is not necessary, I can boot into the general memory of the GPU in case of an error.
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Related Issues (11)
- tensorRT installation + Running instruction HOT 16
- FileNotFoundError: Could not find: nvinfer.dll. Is it on your PATH? HOT 3
- [Function Request] improvements HOT 6
- No such file or directory HOT 15
- Add NVENC Video Encode and Decode GPU HOT 6
- better installation instructions on windows HOT 2
- Do not put these scripts in any folder. HOT 2
- Self-trained models
- ValueError: We need to ensure that the partition num is equals to the parallel num HOT 4
- torch2trt import error
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