Comments (2)
Hi, you do not need to change the c++ code. The "aspect ratio" criterion is moved to the output function. The details can be seen in line 30 and 31 of this file.
You can save the results by modifying the code for your own purpose.
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Get it! Thanks
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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
- Results wrong when testing at different input resolutions HOT 2
- skipping 'squeeze.cpp' Cython extension (up-to-date)
- ImportError: No module named 'squeeze.squeeze' HOT 5
- 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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