Comments (5)
ifangcheng
commented on July 28, 2024
1
@hellochick，yes! it works now! nice job!
I will test the model‘s performance in terms of accuracy and speed!
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ifangcheng
commented on July 28, 2024
I sucessfully run inference.py with the default input image given in the input folder.
however, when I try to inference my own .jpg images with different sizes (e.g. 312492, 264385 ,1435*832), i got invalidargument error like this:
(inputs to operation sub12_sum of type AddN must have the same size and shape. input 0: [1，128，256，128]!=input 1: [1，49，33，128])
it seems that the code did have preprocess to resize the input image size to 1024*2048，so i got confused.
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hellochick
commented on July 28, 2024
Hey @ifangcheng , Sorry for that it seems this network still have some input size problem, and it can only run with 1024x2048 input image ( Since original network is designed for cityscapes dataset ). I will try to fix and improve it.
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ifangcheng
commented on July 28, 2024
thanks for the quick response!
looking forward to your nice job!
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hellochick
commented on July 28, 2024
@ifangcheng , Hey, I have fixed the problem, you can update the repo and try!
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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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