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

This commit is contained in:
2026-07-17 18:54:25 +07:00
parent a258db54cd
commit abab846884
69 changed files with 155558 additions and 105 deletions
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import torch
checkpoint = torch.load('cloud_removal_model/cloud_removal_unet_best.pth', map_location='cpu')
print(list(checkpoint['model_state_dict'].keys())[:5])