Multi-Human-Parsing
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LV-MHP-v1 analysis
LV-MHP-v1 README.txt show: One image is corresponding to multiple annotation files with the same prefix, one file per person. In each annotation file, the label represents:
0: background
1: hat
2: hair
3: sunglass
4: upper-clothes
5: skirt
6: pants
7: dress
8: belt
9: left-shoe
10: right-shoe
11: face
12: left-leg
13: right-leg
14: left-arm
15: right-arm
16: bag
17: scarf
18: torso-skin
For example, the original picture of a photograph contains information such as hat, hair and so on, but it is a black picture. How can I parse and get the detailed information it contains?
two stage的部件分割评测以往大家都使用bbox score作为maskscore,现在大家都在考虑这个问题了;我之前和你在微信上讨论过这件事情;现在来看这件事情,你有好的idea吗?