選択できるのは25トピックまでです。 トピックは、先頭が英数字で、英数字とダッシュ('-')を使用した35文字以内のものにしてください。

38 行
1.1KB

  1. """
  2. Run a rest API exposing the yolov5s object detection model
  3. """
  4. import argparse
  5. import io
  6. import torch
  7. from PIL import Image
  8. from flask import Flask, request
  9. app = Flask(__name__)
  10. DETECTION_URL = "/v1/object-detection/yolov5s"
  11. @app.route(DETECTION_URL, methods=["POST"])
  12. def predict():
  13. if not request.method == "POST":
  14. return
  15. if request.files.get("image"):
  16. image_file = request.files["image"]
  17. image_bytes = image_file.read()
  18. img = Image.open(io.BytesIO(image_bytes))
  19. results = model(img, size=640) # reduce size=320 for faster inference
  20. return results.pandas().xyxy[0].to_json(orient="records")
  21. if __name__ == "__main__":
  22. parser = argparse.ArgumentParser(description="Flask API exposing YOLOv5 model")
  23. parser.add_argument("--port", default=5000, type=int, help="port number")
  24. args = parser.parse_args()
  25. model = torch.hub.load("ultralytics/yolov5", "yolov5s", force_reload=True) # force_reload to recache
  26. app.run(host="0.0.0.0", port=args.port) # debug=True causes Restarting with stat