Comments (2)
cherubicXN
commented on September 27, 2024
Because the training resolution is fixed to 320x320, the test image should also be resized to 320x320. For high resolution images, you should change the resolution of training image and train the network again. I will update the trained models with high resolution training samples recently. You can also do it by yourself.
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ronnie-tian
commented on September 27, 2024
@cherubicXN Noted, thank you for your reply. I will try to train a model with high resolution.
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Related Issues (20)
- OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root. HOT 2
- ValueError: num_samples should be a positive integer value, but got num_samples=0 HOT 10
- skipping 'squeeze.cpp' Cython extension (up-to-date)
- ImportError: No module named 'squeeze.squeeze' HOT 5
- Threshold of the aspect ratio. HOT 2
- How can I evaluate a photo not in the dataset HOT 3
- no module named squeeze HOT 11
- Atrous Residual VS Unet. HOT 1
- The dataset can not be downloaded,why is it? HOT 2
- ImportError: /home/afm_cvpr2019-master/lib/afm_op/CUDA.cpython-36m-x86_64-linux-gnu.so: undefined symbol: __cudaRegisterFatBinaryEnd HOT 5
- How to evaluate the pre-trained model on my own images? HOT 1
- what`s the mean? did it succeed?
- RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
- Open dataset？ HOT 1
- error"conda develop ../lib"
- error"python preparation_york.py" KeyError:'line' HOT 6
- unrecognized error code HOT 1
- evaluate
- 怎么在自己图像上测试线段检测 HOT 1
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