-
-
Notifications
You must be signed in to change notification settings - Fork 0
/
restapi.py
35 lines (27 loc) · 1.1 KB
/
restapi.py
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 argparse
import io
from PIL import Image
import torch
from flask import Flask, request
app = Flask(__name__)
DETECTION_URL = "/v1/object-detection/yolov5"
@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) # reduce size=320 for faster inference
return results.pandas().xyxy[0].to_json(orient="records")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Flask api exposing yolov5 model")
parser.add_argument("--port", default=5000, type=int, help="port number")
parser.add_argument('--model', default='yolov5s', help='model to run, i.e. --model yolov5s')
args = parser.parse_args()
model = torch.hub.load('ultralytics/yolov5', args.model)
app.run(host="0.0.0.0", port=args.port) # debug=True causes Restarting with stat