Spaces:
Runtime error
Runtime error
File size: 843 Bytes
85b1295 30dbf30 85b1295 4da76c0 85b1295 30dbf30 85b1295 2d68d69 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
"""
Run a rest API exposing the yolov5s object detection model
"""
import io
import torch
from flask import Flask, request
from PIL import Image
app = Flask(__name__)
DETECTION_URL = "/v1/detect"
@app.route('/')
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
return results.pandas().xyxy[0].to_json(orient="records")
if __name__ == "__main__":
app.run(host="0.0.0.0", port=8080) # debug=True causes Restarting with stat
|