Comments (8)
tan90du-sx
commented on July 30, 2024
盼回复
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BLUE-coconut
commented on July 30, 2024
我之前一开始碰到这个问题，后来发现是直接用作者的dataloader可能image和label没有对齐，我改了loader的方法就解决了，和原论文对的上的。你可以看看是不是这个问题。
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Li-Haoqing
commented on July 30, 2024
麻烦您能具体的说一下吗？谢谢！
@BLUE-coconut
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BLUE-coconut
commented on July 30, 2024
就是它SalObjDataset构造数据集时是根据传入的img_name_list和lbl_name_list 的顺序来构造的，而它test.py中img_name_list = glob.glob(image_dir + os.sep + '')和label_name_list = glob.glob(label_dir + os.sep + '')不能保证img_name_list[i]和label_name_list [i]是同一张图像的原图和mask，导致你实际上SalObjDataset中的‘image’和‘label’也是不对应的，所以计算出来的实验指标有问题。
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Li-Haoqing
commented on July 30, 2024
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Joazs
commented on July 30, 2024
您好，请问为什么在测试中要经过一个normPRED？网络中不是已经经过了Sigmoid了吗？
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Web-AK
commented on July 30, 2024
谢谢
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BLUE-coconut
commented on July 30, 2024
hello，不好意思最近有点忙，才看到。一个比较简单粗暴的方式就是，先读取train image的图片名，例如：Misc_1.png，你用split函数提取出“Misc_1”，然后，test image图片名就是“Misc_1”+“_pixels0.png”
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@BLUE-coconut 大佬，您好！
想问一下loader的方法具体需要怎么修改才能跟原论文对的上。我发现了这个问题，但我这个小白，不知道如何去修改？
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Related Issues (19)
- forget to upload model
- 你好，请问什么时候开源全部代码？ HOT 8
- 在test.py中IoU=total_IoU/20为什么除以20？ HOT 1
- What is the difference between your work and the U^2 net? HOT 2
- YOLOv7添加该网络 HOT 1
- the model is available just for chinese HOT 1
- 请问论文中所述Synthetic dataset 选取6200张图像，具体是怎么实现的？
- Provide tutorial
- 关于传统算法指标计算问题
- requirements and IoU values HOT 3
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- RuntimeError: torch.cat(): input types can't be cast to the desired output type Byte HOT 5
- 建议requirements中依赖包的版本指明
- train_data问题
- test.py代码的问题
- 不能生成预测的图片吗？
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