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I used the pre-trained model to get the predictions on the test set without any changes. Even though i used everything as it is, i'm getting very bad results with the pre-trained model. I used the images provided in the pf-afn-test/dataset folder.
Here are the results:
I have no idea why this is happening, the results on their own provided test set should be similar to the samples images they have shown us.
The text was updated successfully, but these errors were encountered:
I'm getting the exact same performance... I'm using a more up-to-date environment, but that shouldn't be a problem, isn't it? I'm running it on a RTX3060 with cuda 11.6, cupy 12.1.0 pytorch 1.12.0
I used the pre-trained model to get the predictions on the test set without any changes. Even though i used everything as it is, i'm getting very bad results with the pre-trained model. I used the images provided in the pf-afn-test/dataset folder.
Here are the results:
![5](https://user-images.githubusercontent.com/76820944/156659634-8500d60b-5bdc-49cf-864a-49c48bb2ed59.jpg)
![4](https://user-images.githubusercontent.com/76820944/156659643-ab4c68c9-6979-4813-a891-ee9d5ae2cae2.jpg)
![3](https://user-images.githubusercontent.com/76820944/156659649-682479df-270d-40d0-85e6-79e2d79dfa3c.jpg)
I have no idea why this is happening, the results on their own provided test set should be similar to the samples images they have shown us.
The text was updated successfully, but these errors were encountered: