Comments (5)
in eval_acc.m, line 38, comment '' imAnno = imAnno + 1; " and try
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Hi, when training, the gt labels [0-150] are mapped into 0-149 and 255 for void labels are ignored.
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Hey, @pjohh Did you solve this problem yet?
I encounter same problem as you:
Mean IoU over 150 classes: 0.0007
Pixel-wise Accuracy: 2.15%
Thanks.
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Hello,
I have the same problem:
Mean IoU over 150 classes: 0.0006
Pixel-wise Accuracy: 1.96%
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@shahabty How to training with more than class. Currently, i only train susscess for 21 classes
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Related Issues (20)
- PASCAL VOC 2012
- Questions about PSPNet. HOT 6
- small size
- Reason to have a fixed inference size (473x473) HOT 1
- 请问下怎么将BVLC/caffe下的bn转换到BN?
- question about pooling layer
- Make Runtest Error HOT 2
- Invalid MEX-file '/media/sgp1053c/DATA/PSPNET-cudnn5/matlab/+caffe/private/caffe_.mexa64
- Make Error
- model performance
- C++ Prediction/Segmentation Code for PSPNet
- Could you provide the prototxt file for training PSPNet?
- [FIXED] Why are scale_factors used to scale pixel values? HOT 1
- Evaluation code
- OSX hdf5 make error HOT 1
- Hi, GPU GTX 1070 8G memory is not enough? HOT 1
- compile using cmake failed! (undefined reference to `pthread_create')
- Problem with evaluation
- math_functions.cu:375 [Check failed: status== CURAND_STATUS_SUCCESS (201 VS. 0) CURAND_STATUS_LAUNCH_FAILURE]
- TBD
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