Open atsatvik opened 3 weeks ago
Hi @atsatvik , could you give more details about how do you get the latent feature map?
Hi @MKFMIKU, thanks for the reply.
I'm just running the shadow_aistd_test.py script on my single GPU machine using python shadow_aistd_test.py with the accelerator.load_state set to the path of the pretrained weights that you provided. The final results are saved in the experiments folder.
Edit: whats confusing is that even with this latent feature map, its doing shadow removal properly (for this case atleast)
Here are a few more:
These are the results I got after I ran the test script with the pre-trained weights, I'm confused because they aren't anything like what's shown in the paper. I'm probably missing something. Any help on how I can get the correct latent feature map is highly appreciated. I'm trying to adopt some of the techniques you used in my own research and I wanted to experiment with the latent feature maps. Please let me know I can get it. Thanks!
This is what the latent feature map should look like, taken from the original paper.