initial project version!

utils/flask_rest_api/restapi.py

@@ -0,0 +1,48 @@
+# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
+"""
+Run a Flask REST API exposing one or more YOLOv5s models
+"""
+
+import argparse
+import io
+
+import torch
+from flask import Flask, request
+from PIL import Image
+
+app = Flask(__name__)
+models = {}
+
+DETECTION_URL = '/v1/object-detection/<model>'
+
+
+@app.route(DETECTION_URL, methods=['POST'])
+def predict(model):
+    if request.method != 'POST':
+        return
+
+    if request.files.get('image'):
+        # Method 1
+        # with request.files["image"] as f:
+        #     im = Image.open(io.BytesIO(f.read()))
+
+        # Method 2
+        im_file = request.files['image']
+        im_bytes = im_file.read()
+        im = Image.open(io.BytesIO(im_bytes))
+
+        if model in models:
+            results = models[model](im, 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', nargs='+', default=['yolov5s'], help='model(s) to run, i.e. --model yolov5n yolov5s')
+    opt = parser.parse_args()
+
+    for m in opt.model:
+        models[m] = torch.hub.load('ultralytics/yolov5', m, force_reload=True, skip_validation=True)
+
+    app.run(host='0.0.0.0', port=opt.port)  # debug=True causes Restarting with stat