RCF-pytorch
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Failed to reproduce results
I failed to reproduce the results on the README using your training script. The scores were
ods: 0.7926 (README says I should get 0.808)
ois: 0.8073 (README says I should get 0.811)
The trained weights can be found here https://drive.google.com/file/d/10N9ohhzJvHdbrYfVd_1zzJ-vp46XEiZN/view?usp=sharing. The code I used is here https://github.com/yuyu2172/RCF-pytorch.
If possible, could you upload the weights of the trained model you used to produce the results on README? Also, could you upload VGG16 pretrained weights?
your result is common. The pytorch version's convergence speed is faster than the caffe version's. I get the best result in the training stage, not the last stage, however, I forgert the detail now. I am doing my work for ddl now. So, I will consider update the readme in detail after my ddl. Have a good luck~
@yuyu2172 where did you got the vgg16convs.mat file?
Failed to reproduce results....... I get ods: 0.76 on your @yuyu2172 trained model and 0.75 on mine. (BSDS500, test set)
I use Structured Edge Detection Toolbox to evaluate my results, but I'm not sure the parameters of edgesEvalDir.m, could you please tell me yours? @meteorshowers @yuyu2172
Here is my parameters: thrs: 99 maxDist: 0.0075 pDistr: {'type' 'parfor'} thin: 1
Here are the results by using @yuyu2172 's model.
Here are the results of mine.
Here are the results by using @yuyu2172 's model.
.....
Because it need nms first ...
before nms:
after nms:
Here is an example of the evaluation process.
I failed to reproduce the results on the README using your training script. The scores were
ods: 0.7926 (README says I should get 0.808) ois: 0.8073 (README says I should get 0.811)
The trained weights can be found here https://drive.google.com/file/d/10N9ohhzJvHdbrYfVd_1zzJ-vp46XEiZN/view?usp=sharing. The code I used is here https://github.com/yuyu2172/RCF-pytorch.
If possible, could you upload the weights of the trained model you used to produce the results on README? Also, could you upload VGG16 pretrained weights?
Hi~ Have u done any modification, such as learning rate, the type of optimizer, or data augmentation? Because I got wrong results where the last two ouput is totally black. Thanks so much for ur kind help.
Here are the results by using @yuyu2172 's model.
Here are the results of mine.
this is my result.