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Firstly, I really appreciate about your clean and kind code.
I have trained ESANet model with SUNRGBD dataset and scenenet dataset. For the SUNRGBD dataset, when i implemented the code prepare_data…
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I have trained the model for 100 epochs on SUNRGBD with pretrained ResNet34 on Imagenet, and the best mIoU is still 10%. Is it normal?
My batchsize is 16, and the other hyper-parameters are set as …
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Hi,
I have gotten to training the VoteNet model on SUN RGB D data, but python3 train.py (--use_sunrgbd_v2) returns "Killed" without ever getting through the first forward pass.
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When I run `python sunrgbd_data.py --gen_v1_data` to process 10335 data, there is an image that triggers this exception `Error ---- 8481 chair ` from
```python
if save_votes:
N = pc_…
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Hello, and thank you for your great work!
I read your paper and saw that your main model is basically trained on the 3D-Front dataset and then fine-tuned on the Pix3D dataset for evaluation on the …
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I download the SUN RGB-D dataset, but it does not meet the program you need!
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How to modify the code?
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`depth = np.bitwise_or(np.right_shift(depth,3),np.left_shift(depth,16-3))`
I am currently reproducing this paper, so I am studying the author's implementation method. I can't understand this code in …
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