restapi.py

# """
# Run a rest API exposing the yolov5s object detection model
# """
# import argparse
# import io
# from PIL import Image
# from pyngrok import ngrok

# import torch
# from flask import Flask, request

# app = Flask(__name__)

# DETECTION_URL = "/v1/object-detection/yolov5s"


# @app.route(DETECTION_URL, methods=["POST"])
# def predict():
#     if not request.method == "POST":
#         return

#     if request.files.get("image"):
#         image_file = request.files["image"]
#         image_bytes = image_file.read()

#         img = Image.open(io.BytesIO(image_bytes))

#         results = model(img, size=640)
#         data = results.pandas().xyxy[0].to_json(orient="records")
#         return data


# if __name__ == "__main__":
#     parser = argparse.ArgumentParser(description="Flask api exposing yolov5 model")
#     parser.add_argument("--port", default=5000, type=int, help="port number")
#     args = parser.parse_args()

#     model = torch.hub.load("ultralytics/yolov5", "yolov5s", pretrained=True).autoshape()  
#     model.eval()
#     url = ngrok.connect(5000).public_url
#     app.run(host="localhost", port=args.port)  # debug=True causes Restarting with stat