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The point is to make the auroc / concordance-index transparent:
Instead of just auroc = c-index (auroc): concordant-pairs / pairs = sum(p(event) > p(nonevent)) / n_events * n_nonevents
events:
…
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The first error:
Traceback (most recent call last):
File "C:\DOWNLOAD\video_anomaly_diffusion-main\video_anomaly_diffusion-main\train_ano.py", line 371, in
main()
File "C:\DOWNLOAD\video_anomaly_…
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Hi Daniel!
Due to recent updates in R libraries, I've made several modifications to _all-features/7-transform.ipynb_ and the result seems a little different. Following are the changes I made.
1. add…
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Hi. Thanks for your great work!
May I ask you a question?
run: python train.py --stage='train' --config='Camelyon/TransMIL.yaml' --gpus=0 --fold=0
result: self.AUROC = torchmetrics.AUROC(num_clas…
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**for i, (inp, target) in enumerate(test_loader):**
target = target.cuda()
gt = torch.cat((gt, target), 0)
bs, n_crops, c, h, w = inp.size()
input_var = torch.autog…
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Hi, thank you for sharing the code. Consuming a lot of memory when calculating segmentation AUROC as follow:
![捕获](https://user-images.githubusercontent.com/29697367/140691039-56727cdc-a60e-40de-8e8c…
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https://github.com/Jingtao-Li-CVer/ASD/blob/a00d10fff3bd1ad5b4a1dca7e5745bee1c098b3e/metrics/auroc.py#L38
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Hi, how do I compute PRO score? I only get image, pixel and anomaly pixel AUROC with this code.
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when i use this command python tools/train.py --model ganomaly --config src/anomalib/models/ganomaly/config.yaml to training, the image_AUROC is changed so much every time. sometimes is 0.51... somet…