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""" |
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Run a rest API exposing the yolov5s object detection model |
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""" |
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import argparse |
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import io |
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import torch |
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from flask import Flask, request |
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from PIL import Image |
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app = Flask(__name__) |
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DETECTION_URL = "/v1/object-detection/yolov5s" |
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@app.route(DETECTION_URL, methods=["POST"]) |
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def predict(): |
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if not request.method == "POST": |
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return |
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if request.files.get("image"): |
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image_file = request.files["image"] |
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image_bytes = image_file.read() |
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img = Image.open(io.BytesIO(image_bytes)) |
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results = model(img, size=640) |
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return results.pandas().xyxy[0].to_json(orient="records") |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser(description="Flask API exposing YOLOv5 model") |
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parser.add_argument("--port", default=5000, type=int, help="port number") |
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args = parser.parse_args() |
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model = torch.hub.load("ultralytics/yolov5", "yolov5s", force_reload=True) |
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app.run(host="0.0.0.0", port=args.port) |
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