DG-YOLO
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[ICIP2020] TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION
 I download your dataset,then change nothing in the code.But when it come to 82 epoch, the AP of holothurian is still have something wrong
My card cannot support your code, so I want to use yolov7 to run your dataset,but it's weird that YOLOV7 reach a very low mAP, just about mAP50 = 30,even...
When I used the weights you gave for the test, I deleted the category of seaweed, and it should be four categories at this time. But the detected categories always...
Compute mAP... Detecting objects: 0%| | 0/118 [00:00
Thx for your work, could you share your trained weights?
File "D:\pycharm_workspace\DG-YOLO-master\test.py", line 107, in for i, c in enumerate(ap_class): TypeError: 'int' object is not iterable
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您好,我也没做过目标检测的任务。目前我有个downstream task用到了。 在使用阶段,可以输出map值, 但是没有绘制了检测框的图像输出,我想问问您关于这一块儿是需要怎么处理,我在augmentations里面看见了imgshow_output 方法,但是会发生错误。
  请问,为什么只有7个type,domain_label却要初始化8个0,我的猜想是第0维度是batch_size, 但是我不理解这个mask处理,为什么要把batch_szie这一维==1的挑出来,就是mask这段不太理解在做什么。
in Table 1, the WQT is used to create type1 data. Does ori+type1 mean that you put ori (4000 images) and also type1 (4000 images) total 8000 images of fully...
If we adopt WQT to create val_8 (do not appear in training set), : 1.how to keep annotation correct when we create val_8 (if we set WQT output size=512,it's a...