Comments (3)
hellochick
commented on July 28, 2024
You can use the pre-trained model by selecting restore variables. Following is the example:
restore_var = [v for v in tf.global_variables() if 'conv6_cls' not in v.namefrom icnet-tensorflow.
An-Pan
commented on July 28, 2024
@hellochick Thanks ，Now I have resolve the pre-trained model problem.
from icnet-tensorflow.
ifangcheng
commented on July 28, 2024
when I set num_classes=1 (255 for background; 0 for person), and train on my own dataset, I always got
sub4 =0.000
sub24 =0.000
sub124 =0.000
ans the total loss do not change at all.
what's the problem? did I miss something?
from icnet-tensorflow.
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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from icnet-tensorflow.