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"""
Run a rest API exposing the yolov5s object detection model
"""
import io
import torch
from flask import Flask, request
from PIL import Image
from waitress import serve
import subprocess
import argparse
#subprocess.run(["export", "FLASK_APP","=","app.py"])
app = Flask(__name__)
DETECTION_URL = "/v1/detect"
@app.route(DETECTION_URL,methods=["POST"])
def predict():
#model = torch.hub.load('ultralytics/yolov5', 'custom', path='best2.pt', force_reload=True) # force_reload to recache
'''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) # reduce size=320 for faster inference
results=results.pandas().xyxy[0].to_json(orient="records")
return f"{results}"
'''
if __name__ == "__main__":
#subprocess.run(["export","FLASK_ENV","=","development"])
app.run(host="0.0.0.0", port=7860) # debug=True causes Restarting with stat
#serve(app, host="0.0.0.0", port=7860)
'''
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Flask API exposing YOLOv5 model")
parser.add_argument("--port", default=7860, type=int, help="port number")
args = parser.parse_args()
model = torch.hub.load('ultralytics/yolov5', 'custom', path='best2.pt', force_reload=True) # force_reload to recache
app.run(host="0.0.0.0", port=args.port,debug =True) # debug=True causes Restarting with stat
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