feat: implement comprehensive land cover classification pipeline with model benchmarking and experiment logging

2026-07-17 18:54:25 +07:00
parent a258db54cd
commit abab846884
69 changed files with 155558 additions and 105 deletions
@@ -0,0 +1,5 @@
+from train_cloud_removal import UNet
+model = UNet(in_channels=6, out_channels=4)
+print(hasattr(model, 'inc'))
+print(hasattr(model, 'conv1'))
+print(list(model.parameters())[0].shape)