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NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

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I downloaded the pretrained nyu weights (500.pth), and edited line 138 of base_model.py to state_dict = torch.load('.../500.pth', map_location=str(self.device)) When I run python evaluate.py --name nyu --checkpoints_dir ... --train_path ~/nyudepthv2/nyudepthv2/val/ --test_path...