mousecpn / DG-YOLO

[ICIP2020] TOWARDS DOMAIN GENERALIZATION IN UNDERWATER OBJECT DETECTION
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about class #5

Open yangg0919 opened 2 years ago

yangg0919 commented 2 years ago

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 have an AP of 0.0.what should I do? Also, I want to ask, if when testing for the classification order is the same as in marine_coco_names

This is the test result without changing the marine_coco_names classification order

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This is the test result that changing the marine_coco_names classification order,So I'm sure it's not because I changed the order at test.

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mousecpn commented 2 years ago

it is weird. Why there is a class "-1".

yangg0919 commented 2 years ago

I guess because TXT file annotations way is different, I start from 0 annotation. However, after I modified the labeling file, the detection effect was not very ideal. The AP of echinus was only 0.053, which was much lower than other detection algorithms

mousecpn commented 2 years ago

I guess because TXT file annotations way is different, I start from 0 annotation. However, after I modified the labeling file, the detection effect was not very ideal. The AP of echinus was only 0.053, which was much lower than other detection algorithms

the highest one should be echinus. Changing the marine_coco_names may lead to some problems. But I still have no clue how to fix it.