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Hello ! could you porvide me the training parameters set? beacause I train the model ,I found it can not reach the paper performance . Thank you !
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Hi,
I am trying to train ICNet on my own dataset using the cityscapes model as a starting point, but when I run train.py I receive the error:
`ValueError: Dimension 3 in both shapes must be equa…
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如下
```
def atrous_conv(input,
k_h,
k_w,
c_o,
dilation,
relu=False,
padding="VALID",
…
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HI @hellochick,
I am trying the following but without any luck: obtain validation loss results while the model is training.
I have tried to feed the network a batch of images from my validation da…
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I have not found the 1/4 branch (low resolution) in your prototxt, but more important thing is that you used lots of 1x1 convolution instead of 3x3 to reduce the size with a bottleneck shape. Could y…
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代码中变量定义
```
IMG_MEAN = np.array((103.939, 116.779, 123.68), dtype=np.float32)
```
使用这个变量的位置
```
"""
Load image from file.
"""
image = dataset.image.load_image(…
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Thank you for sharing your work.
I'm confused that the result of FCN-8s reported in your experiment part was better than other recent proposed networks, such as deeplabv3+, pspnet and segnet.
Could …
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Hi,
Thanks for your interesting work.
I tried to perform network inference: `sh scripts/inference_LSTM_ICNet.sh`.
I built the singularity container correctly on Ubuntu 18.04. I used a GTX 1060 GPU…
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hi,hellochick:
i use the code you release severel days ago , i use my data in two class(background,foreground) to train from strach
1. the input i set 512*512
2, class_num=2,(8bit label image a…
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