Comments (8)
Hey @limitime , Since my indoor model is used to robot navigation, it can only recognize the walls, floors, and ceilings. If you need, I can provide you.
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@hellochick That is completely enough,and I just want to get a baseline right now.Thank you very much!
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@limitime, okay, I'll upload the checkpoint and weight soon. Could you tell me what you are working with XD? I'm curious about where you can use indoor segmentation.
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@hellochick 3d scene reconstruction and understanding with a camera and lidar.Now we are exploring the probable use of our system.
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@limitime Here is the model weight:
https://drive.google.com/drive/folders/1zHFCXRyaW7OFn9zA41_c7Hfnl1HMhgK_?usp=sharing
Remember to change the class number from 19 to 27.
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@hellochick Do I need to change the IMG_MEAN?And when you train,did you change it?
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@limitime, sorry for late reply. You don't need change the IMG_MEAN, and I don't change it when training, either.
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hi,your project listed the original text's effect based on ade20k,but your model folder don't contain the model of ade20k,just have the model of cityscapes,can you tell where have the ade20k model
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Related Issues (20)
- Errors in restoring the session evalucation.py and network.py
- ValueError: Shape must be rank 4 but is rank 3 for 'data_sub2' (op: 'ResizeBilinear') with input shapes: [720,720,3], [2]. HOT 3
- Why is it suddenly 'killed' run train.py? HOT 1
- How predict the result to use my training model ckpt.meta?
- Dimension not equal HOT 1
- ValueError:Variable conv does not exist
- ValueError when using own dataset HOT 2
- Training own dataset
- Inference time is too high(about 3.5x as supposed to be ~0.04s)
- multi GPU training?
- tensorflow's version HOT 1
- How to use the pre-trained modle of ade20k provided by author,I use the code in demo.ipynb,but it can't open the file,the cityscapes works well.
- Training over-fitting after every epochs
- same classification result with every pixel HOT 1
- can get correct result
- bad results of voc2012
- The update stops and the loss does not drop HOT 4
- Assign requires shapes of both tensors to match. lhs shape= [13] rhs shape= [150]
- 上一个项目
- 关于ade20k的分割结果,颜色和标签有对应关系吗?
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