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aim-uofa / AdelaiDepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.
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ValueError: not enough values to unpack (expected 2, got 1) #87

Open pengjianqiang opened 1 month ago

pengjianqiang commented 1 month ago

When I run the “test_depth.py” file, I encounter the following problem

processing (0000)-th image... /root/AdelaiDepth-main/LeReS/test_dataset/Patient_21_0019200.jpg Traceback (most recent call last): File "test_shape.py", line 131, in shift_model, focal_model) File "test_shape.py", line 75, in reconstruct3D_from_depth shift_1 = refine_shift(pred_depth_norm, shift_model, predicted_focal_1, cam_u0, cam_v0) File "/root/AdelaiDepth-main/LeReS/Minist_Test/lib/test_utils.py", line 125, in refine_shift shift = refine_shift_one_step(depth_wshift_tmp, model, focal, u0, v0) File "/root/AdelaiDepth-main/LeReS/Minist_Test/lib/test_utils.py", line 109, in refine_shift_one_step outputs = model(inputs) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(*input, kwargs) File "/root/AdelaiDepth-main/LeReS/Minist_Test/lib/spvcnn_classsification.py", line 148, in forward x2 = self.stage2(x1) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(*input, *kwargs) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(input, kwargs) File "/root/AdelaiDepth-main/LeReS/Minist_Test/lib/spvcnn_classsification.py", line 23, in forward out = self.net(x) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(*input, *kwargs) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(input, **kwargs) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torchsparse/nn/modules/conv.py", line 78, in forward transpose=self.t) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torchsparse/nn/functional/conv.py", line 118, in conv3d idx_query = list(convert_neighbor_map_gpu(idx_query)) File "/root/miniconda3/envs/LeReS/lib/python3.7/site-packages/torchsparse/nn/functional/convert_neighbor_map.py", line 10, in forward idx_batch, idx_point = torch.where(neighbor_map != -1) ValueError: not enough values to unpack (expected 2, got 1)