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amax@amax:/data/yh/light-weight-refinenet$ python make_onnx.py
Traceback (most recent call last):
File "make_onnx.py", line 17, in
torch.onnx.export(segmenter,dummy_input,"yh_refinenet.onnx…
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Could you share the segmentation maps of the Dayton dataset generated by RefineNet?
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My real interest in semantic segmentation using RefineNet is to essentially replicate the workflow used by [Microsoft to extract building footprints from aerials](https://github.com/Microsoft/USBuildi…
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I encountered this problem in training my own data. The object model is symmetrical, and this error(like #41) occurs when refinenet is used.But #41 did not give a a soultion
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Hi,
Thanks for your wonderful work and detailed tutorial.
I am just a fresh new here, when I try to retrain the model, there will be RuntimeError. Then I set the Batch_Size (config.py) to [1] * 3, i…
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./train/nyu.sh
INFO:__main__: Loaded Segmenter 50, ImageNet-Pre-Trained=True, #PARAMS=27.34M
/home/amax/anaconda3/lib/python3.6/site-packages/torch/nn/modules/loss.py:216: UserWarning: NLLLoss2d ha…
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Hi, thank you to share your great work!
Now I can finetune the refinenet on egohand dataset, but to achieve the best result of miou=81.4 in your paper, how to set the hyperparameters? Can yo…
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Hi! Great work with this repo!
I have a question regarding how you structured the training process. Why do you have 3-dimensional values in the config file?
I've seen that the `task_idx` value …
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## 🐛 Bug
RuntimeError: [ONNXRuntimeError] : 10 : INVALID_GRAPH : Load model from test.onnx failed:Type Error: Type 'tensor(int64)' of input parameter (11) of operator (Floor) in node () is invalid.
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### RuntimeError: [ONNXRuntimeError] : 10 : INVALID_GRAPH : Load model from test.onnx failed:Type Error: Type 'tensor(int64)' of input parameter (11) of operator (Floor) in node () is invalid.
Conv…