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Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.

github.com/e0xextazy

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e0xextazy/gender-est

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data
data
 
 
finetune
finetune
 
 
model_files
model_files
 
 
utils
utils
 
 
.gitignore
.gitignore
 
 
Dockerfile
Dockerfile
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
requirements.txt
requirements.txt
 
 
run.py
run.py
 
 

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gender-est

Everything is simple! Send a photo -> take a gender

gender-est

👶 Dependencies

🛠️ Installation

  • From GitHub

Step 1:

git clone https://github.com/e0xextazy/gender-est.git

Step 2:

cd gender-est

Step 3:

docker build -t <IMAGE_NAME> .

Step 4:

docker run -d -p 5000:5000 <IMAGE_NAME>

  • From DockerHub

Step 1:

docker pull mbaushenko/gender-classification-mobilenet_v2:mvp_V2

Step 2:

docker run -d -p 5000:5000 mbaushenko/gender-classification-mobilenet_v2:mvp_V2

  • From PyPI

Soon...

🚀 Usage

  • From GitHub/DockerHub

python3 utils/send_data.py

  • From PyPI

Soon...

⚖️ License

MIT © 2022 Mark Baushenko

About

Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.

github.com/e0xextazy

Topics

deep-neural-networks deep-learning torch pytorch gender-recognition gender-classification mobilenet gender-detection gender-classifier mobilenetv2 mobilenet-v2 mobilenetv2-ssdlite torchvision lamoda wildberries

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