Comments (8)
Hi, what data are you training on? Is it the tennis demo or your custom video?
H_0 and H_1 are homographies for the current and next frame, respectively. This error is probably because the homography file isn't formatted correctly.
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That's strange, I just checked and I don't get this error, even without changing max_dataset_size.
The default number of training steps is 12k (the number of epochs it corresponds to will depend on the batch size you use). You may want to increase the number of training steps if you're using a small batch size.
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What GPU are you using? It took about 2 hours to run on 2 P100 GPUs.
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Hello, could you tell how to get zbar.pth for a new dataset. What's the zbar meaning? i also confused whether zbar would be update if it is set randomly in the network?
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zbar.pth is randomly initialized and saved if it doesn't already exist, otherwise the existing file is loaded. These values aren't updated during training. It is random fixed noise that represents the input for the background layer.
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Related Issues (20)
- 🔥 every video should train the new model? HOT 2
- Out of memory about train HOT 6
- Support Windows
- Optical flow HOT 2
- Computing homographies HOT 3
- Error for connecting server HOT 1
- Pretrained Model for Tennis Example
- how use Detectron2 output Binary Mask image HOT 1
- How to compute flow and save the forward/backward .flo files HOT 3
- ERROR: Could not find a version that satisfies the requirement opencv-python==4.5.1 HOT 1
- The video for computing homographies.txt should be the orignal one or the resized one? HOT 1
- Duration of the processed video is Longer than source video HOT 3
- Why every video should train a new model?
- Discrepancy between code and paper HOT 1
- The minimum memory of GPU HOT 1
- Can this work also on Windows 10 + Anaconda ? HOT 1
- Problem about H calculation
- Omnimatte without NVIDIA card HOT 1
- Open CV Can't be found HOT 2
- MaskRCNN + STM helper code for extracting frame-wise objects HOT 1
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