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You should create a dataset class for your images, like kitti.py. Then you can create a TunerDataset using your dataset and the path to the reconstructed COLMAP models.
Is ground truth depth map necessary for the finetune and prediction? It seems that in kitti.py, the gt depthmap is provided or calculated from lidar pointcloud.
Hi! No, ground truth depth map is only used for evaluation and is not used at all during the finetuning. You can just return a dummy placeholder if you don't have gt available.
I will soon update the repo with a version that does not require to return the gt.
I have taken some photos and use colmap to reconstruct them. How can I use the code to generate the depthmap?
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