Comments (1)
This was due to absence of certain classes in my validation data and due to the extremely low number of occurrences of these classes. Most likely explanation is that due to the mentioned reasons TP and FP could have become equal to zero resulting in dividing by zero while calculating precision.
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Related Issues (20)
- sh make.sh HOT 1
- OOM during inference
- AttributeError: module 'modeling.FPN' has no attribute 'fpn_ResNet50_conv5_body_bup'
- Poor test results
- In the process of program operation, the continuous growth of GPU memory,About 2M per minute, from the beginning of 6G memory to 8G, and finally OOM, what is the problem?
- Input and output names
- Model conversion to TRT
- Input names error HOT 1
- test error
- is it possible compile on 2080Ti? HOT 8
- Training on cityscpes
- please point out the location of adaptive feture pooling of the project,thank you very much HOT 1
- AssertionError----assert len(roidb)==len(cached_roidb)
- The FPN code HOT 1
- Error about tools
- Extract the features HOT 1
- where is the code of PAN? HOT 1
- Request Pretrained Weight
- 关于数据集的存放位置
- tensorboardX
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