README.md

---
title: Segmentation
emoji: 📉
colorFrom: indigo
colorTo: red
sdk: gradio
sdk_version: 5.19.0
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# Sending image file to api 
curl -X POST "https://alexgenovese-segmentation.hf.space/segment" \
  -F "data=[{\"type\": \"image\", \"value\": null}]" \
  -F "data=@woman_with_bag.jpeg" \
  -H "Content-Type: multipart/form-data" \
  -o response.json


# Sending image file to api 
curl -X POST "https://alexgenovese-segmentation.hf.space/segment" \
  -H "accept: application/json" \
  -H "Content-Type: multipart/form-data" \
  -F "file=@woman_with_bag.jpeg" \
  -o response.json


# Sending image in base 64 to api
1. base64 woman_with_bag.jpeg > image.b64

2. curl -X POST "https://alexgenovese-segmentation.hf.space/segment" \
-H "Content-Type: application/json" \
-d "{\"image_base64\": \"$(cat image.b64)\"}" 

or

curl -X POST "https://alexgenovese-segmentation.hf.space/segment" \
-H "Content-Type: application/json" \
-d "{\"image_base64\": \"$(base64 woman_with_bag.jpeg)\"}"


# Output 
{"mask":"data:image/png;base64...","annotations":{"mask":[[]]"label":"fashion"}} 

# Segmetn-url endpoint 

curl -X POST "https://alexgenovese-segmentation.hf.space/segment-url" \
-H "Content-Type: application/json" \
-d '{
    "url": "https://plus.unsplash.com/premium_photo-1673210886161-bfcc40f54d1f?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8cGVyc29uJTIwc3RhbmRpbmd8ZW58MHx8MHx8&w=1000&q=80"
}' \
-o response.json


# Segment-clothes-url 

curl -X POST "https://alexgenovese-segmentation.hf.space/segment-clothes-url" \
-H "Content-Type: application/json" \
-d '{
    "url": "https://plus.unsplash.com/premium_photo-1673210886161-bfcc40f54d1f?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8cGVyc29uJTIwc3RhbmRpbmd8ZW58MHx8MHx8&w=1000&q=80"
}' \
-o response.json

# Convert to ONNX file 

# For the fashion segmentation model:
python convert_to_onnx.py --model "sayeed99/segformer-b3-fashion" --output "models/fashion_segformer.onnx"

# For the clothes segmentation model:
python convert_to_onnx.py --model "mattmdjaga/segformer_b2_clothes" --output "models/clothes_segformer.onnx"


# Convert To Onnx file 

python3 hf_onnx_converter.py \
  --source "mattmdjaga/segformer_b2_clothes" \
  --target "alexgenovese/segformer-onnx"