Comments (1)
As described in Sec 4.1 in the paper, in addition to our rendered dataset, we collect major public datasets for training including Sceneflow, Falling Things, Airsim, etc. No pre-training steps are implemented.
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Related Issues (20)
- Disparity with uint16 format HOT 9
- Colab or Huggingface demo?
- 想请问一下该合成数据集的最大视差和最小视差分别是多少
- RuntimeError: bad input shape for polyadic operator HOT 12
- SceneFlow pre-trained model
- TypeError: pad() got an unexpected keyword argument 'pad_witdth' in test.py HOT 2
- Model initialization takes a long time HOT 2
- Pretrained middleburry weights HOT 2
- testing result is better in RGB format than default BGR format?
- How to Get Depth Information HOT 1
- Model size and number of params?
- CREStereo not able to run inside thread with Python
- 百度网盘失效
- the GPU memory is too large HOT 1
- WRN Not FormattedTensorValue input for AttachGrad op: AttachGradValue{key=grad_1}
- Datasets in training and schedule HOT 1
- Predicting disparity for the right image
- Is there is a way to speed up model training, like using the Torch DDP method?
- Running CREStereo with the latest version of MegEngine
- Assistance Requested: Issues Encountered with train.py Script in CREStereo Repository
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