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While using this API, we found the following code confusing:
The input for this function is (u, v, depth), with u and v in the unit of pixel number, while the output for this function is (x,y,z), wi…
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Can you opensource 3D CSPN code? Thanks a lot. After i reading the paper, i didn't see the operation or details about how to train or apply 3DCSPN to PSMnet.
mzy97 updated
5 years ago
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When executing the step "train psmnet with 4 TITAN X GPUs" there's an annoying warning caused by the necessity of using Python2.7 and pytorch, in full:
> torch/nn/parallel/data_parallel.py:25: User…
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Thanks very much for providing the pytorch-reimplementation of PSMnet.
Do you reproduce the result of original paper or match the result of the original code? Can you provide the evaluation result …
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Hello.
I have read your paper,and make some experiment about the 3DCSPN. But I didn't get good result.
I'm confused about the way to get Affinity Matrix in 3D Module (page 7).
Is use a simple 3d Co…
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你好，我想问一下，Real-time Scalable Dense Surfel Mapping这篇文章在哪儿能下载到？
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self.disp_score = torch.range(0, max_disp - 1) # [D]
Traceback (most recent call last):
File "train.py", line 215, in
main(args)
File "train.py", line 75, in main
model.load_state…
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Do you intend to provide the PSMNet implementation for the stereo network in the future? Thank you.
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I think may be you use more data to train depth model , especially the data from val set.
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I'm having trouble getting the code running because i keep running into the same error. The raw input / output is as follows:
```
# python main.py --maxdisp 192 --model stackhourglass --datapath /s…