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License: MIT License
I would like to ask whether the data set is a public data set. If so, can you give me the official link of the dataset
您好,求一个数据集的官网链接,谢谢。
你好,为什么主代码中的均值标准差,是RGB形式的呢?数据中的图片是灰度的啊
你好,请问你一下,你这个网络有可视化的一些程序么?因为没有损失函数曲线什么的。
usage: main.py [-h] [--batch_size BATCH_SIZE] [--weight WEIGHT] action
main.py: error: the following arguments are required: action
When I paste your code
python main.py train
in the terminal, it works.
But when I implement the main.py
file in the spyder, it shows the following error:
usage: main.py [-h] [--batch_size BATCH_SIZE] [--ckp CKP] action
main.py: error: the following arguments are required: action
An exception has occurred, use %tb to see the full traceback.
How to solve this ERROR?
你好,请问如何修改让他可以训练多个class,需要修改哪些部分?谢谢
python main.py test --ckp=weights_19.pth
请问一下测试的时候为什么需要000_mask到019_mask的这几张已经分割好的图片。我想的是,测试的时候不应该是用训练出来的网络去分割未知的图片吗?
May I ask which kind of license this project is using?
with torch.no_grad():
for x, _ in dataloaders:
y=model(x)
img_y=torch.squeeze(y).numpy()
plt.imshow(img_y)
请问测试代码中这一段img_y输出的值代表什么呢?如何用绿色或者红色标注出图像中的目标?
if num_classes>1: # 多分类 - 损失函数,多分类
#pred=torch.rand(batch_size,num_classes,img_size,img_size)
target=torch.randint(num_classes,(batch_size,img_size,img_size))
loss=criterion(outputs,target)
else:
loss = criterion(outputs, labels) #损失函数,单分类
这个地方不会写呢
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