fashion-ai-analysis
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normalclone
Extract attribute of clothes detected in image.
FashionAI-Analysis
This is a project for extracting attribute of clothes detected in image.
Dependencies
Installation
- Download & install cuda 10.2 toolkit here
- Download & install anaconda python 3.7 version
- Install requirements
How to test the model
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Download yolo-v3 model from here and put in 'root directory'.
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Downoad model from here and put in 'root directory'.
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Run
file_demo.pyto run each image file demostration -
Run
cam_demo.pyto run web-cam demostration (not tested)
Clothing multi-attributes definition
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1 |
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6 |
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13 |
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GT values |
Top color(14) |
Top pattern(6) |
Top gender(2) |
Top season(4) |
Top type(7) |
Top sleeves(3) |
Bottom color(14) |
Bottom pattern(6) |
Bottom gender(2) |
Bottom season(4) |
Bottom length(2) |
Bottom type(2) |
leg pose(3) |
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0 |
null |
null |
null |
null |
null |
null |
null |
null |
null |
null |
null |
null |
null |
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1 |
white |
plain |
man |
spring |
shirt |
short sleeves |
white |
plain |
man |
spring |
short pants |
pants |
standing |
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2 |
black |
checker |
woman |
summer |
jumper |
long sleeves |
black |
checker |
woman |
summer |
long pants |
skirt |
sitting |
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3 |
gray |
dotted |
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autunm |
jacket |
no sleeves |
gray |
dotted |
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autunm |
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lying |
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4 |
pink |
floral |
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winter |
vest |
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pink |
floral |
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winter |
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5 |
red |
striped |
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parka |
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red |
striped |
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6 |
green |
mixed |
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coat |
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green |
mixed |
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7 |
blue |
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dress |
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blue |
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8 |
brown |
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brown |
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9 |
navy |
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navy |
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10 |
beige |
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beige |
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11 |
yellow |
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yellow |
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12 |
purple |
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purple |
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13 |
orange |
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orange |
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14 |
mixed |
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mixed |
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A nice example
Metadata
Owner
normalclone
Metadata
Extract attribute of clothes detected in image.