train

ieemoo-ai-zhanting.py

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+# -*- coding: utf-8 -*-
+from flask import request, Flask
+import numpy as np
+import json
+import time
+import cv2, base64
+import argparse
+import sys, os
+import torch
+from PIL import Image
+import datetime
+from torchvision import transforms
+# from models.modeling import VisionTransformer, CONFIGS
+from gevent.pywsgi import WSGIServer
+sys.path.insert(0, ".")
+
+import detect
+import logging.config
+from skywalking import agent, config
+SW_SERVER = os.environ.get('SW_AGENT_COLLECTOR_BACKEND_SERVICES')
+SW_SERVICE_NAME = os.environ.get('SW_AGENT_NAME')
+if SW_SERVER and SW_SERVICE_NAME:
+    config.init() #采集服务的地址，给自己的服务起个名称
+    #config.init(collector="123.60.56.51:11800", service='ieemoo-ai-search') #采集服务的地址，给自己的服务起个名称
+    agent.start()
+def setup_logging(path):
+    if os.path.exists(path):
+        with open(path, 'r') as f:
+            config = json.load(f)
+            logging.config.dictConfig(config)
+            logger = logging.getLogger("root")
+    return logger
+logger = setup_logging('utils/logging.json')
+
+app = Flask(__name__)
+app.use_reloader=False
+
+parser = argparse.ArgumentParser()
+#parser.add_argument('--weights', nargs='+', type=str, default='runs/zhanting/yolov5m_finetune/exp4/weights/best.pt', help='model.pt path(s)')
+parser.add_argument('--weights', nargs='+', type=str, default='../module/ieemoo-ai-zhanting/model/now/best.pt', help='model.pt path(s)')
+parser.add_argument('--source', type=str, default='../module/ieemoo-ai-zhanting/imgs/1.jpg', help='source')  # file/folder, 0 for webcam
+parser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)')
+parser.add_argument('--conf-thres', type=float, default=0.50, help='object confidence threshold')
+parser.add_argument('--iou-thres', type=float, default=0.45, help='IOU threshold for NMS')
+parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
+parser.add_argument('--view-img', type=bool, default=True, help='display results')
+parser.add_argument('--save-txt', type=bool, default=True, help='save results to *.txt')
+parser.add_argument('--save-conf', type=bool, default=True, help='save confidences in --save-txt labels')
+parser.add_argument('--nosave', type=bool, default=True, help='do not save images/videos')
+parser.add_argument('--classes', nargs='+', type=int, help='filter by class: --class 0, or --class 0 2 3')
+parser.add_argument('--agnostic-nms', type=bool, default=True, help='class-agnostic NMS')
+parser.add_argument('--augment', type=bool, default=True, help='augmented inference')
+parser.add_argument('--update', type=bool, default=True, help='update all models')
+parser.add_argument('--project', default='runs/detect', help='save results to project/name')
+parser.add_argument('--name', default='exp', help='save results to project/name')
+parser.add_argument('--exist-ok', type=bool, default=True, help='existing project/name ok, do not increment')
+
+#opt = parser.parse_args()
+opt, unknown = parser.parse_known_args()
+@app.route("/zhanting", methods=['POST'])
+def get_isempty():
+    #start = time.time()
+    data = request.get_data()
+    ip = request.remote_addr
+    print('------ ip = %s ------' % ip)
+
+    json_data = json.loads(data.decode("utf-8"))
+#    getdateend = time.time()
+ #   print('get date use time: {0:.2f}s'.format(getdateend - start))
+
+    pic = json_data.get("pic")
+    result = {"success": "false",
+              "rst_cls": '-1',
+              }
+    try:
+        imgdata = base64.b64decode(pic)
+        #image_path = 'data/images/1.jpg'
+        image_path = '../module/ieemoo-ai-zhanting/imgs/1.jpg'
+        file = open(image_path, 'wb')
+        file.write(imgdata)
+        pred = detect.detect(opt)
+        logger.info(pred)
+        #print('pred', pred)
+        #getdateend = time.time()
+        #now_time = datetime.datetime.now()
+        #print('now_time', now_time)
+        #print('get date use time: {0:.2f}s'.format(getdateend - start))
+    except Exception as e:
+        logger.warning(e)
+        return pred
+
+    return pred
+
+
+
+if __name__ == "__main__":
+    app.run(host='192.168.1.142', port=8000)
+    #http_server = WSGIServer(('0.0.0.0', 8000), app)
+    #http_server.serve_forever()