92 lines
3.2 KiB
Python
Executable File
92 lines
3.2 KiB
Python
Executable File
# -*- coding: utf-8 -*-
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from flask import request, Flask
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import numpy as np
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import json
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import time
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import cv2, base64
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import argparse
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import sys, os
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import torch
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from PIL import Image
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import datetime
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from torchvision import transforms
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# from models.modeling import VisionTransformer, CONFIGS
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from gevent.pywsgi import WSGIServer
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sys.path.insert(0, ".")
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import detect
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app = Flask(__name__)
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app.use_reloader=False
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parser = argparse.ArgumentParser()
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parser.add_argument('--weights', nargs='+', type=str, default='runs/zhanting/yolov5l_finetune/exp/weights/best.pt', help='model.pt path(s)')
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parser.add_argument('--source', type=str, default='data/images/1.jpg', help='source') # file/folder, 0 for webcam
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parser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)')
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parser.add_argument('--conf-thres', type=float, default=0.25, help='object confidence threshold')
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parser.add_argument('--iou-thres', type=float, default=0.45, help='IOU threshold for NMS')
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parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
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parser.add_argument('--view-img', type=bool, default=True, help='display results')
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parser.add_argument('--save-txt', type=bool, default=True, help='save results to *.txt')
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parser.add_argument('--save-conf', type=bool, default=True, help='save confidences in --save-txt labels')
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parser.add_argument('--nosave', type=bool, default=True, help='do not save images/videos')
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parser.add_argument('--classes', nargs='+', type=int, help='filter by class: --class 0, or --class 0 2 3')
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parser.add_argument('--agnostic-nms', type=bool, default=True, help='class-agnostic NMS')
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parser.add_argument('--augment', type=bool, default=True, help='augmented inference')
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parser.add_argument('--update', type=bool, default=True, help='update all models')
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parser.add_argument('--project', default='runs/detect', help='save results to project/name')
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parser.add_argument('--name', default='exp', help='save results to project/name')
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parser.add_argument('--exist-ok', type=bool, default=True, help='existing project/name ok, do not increment')
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opt = parser.parse_args()
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#opt, unknown = parser.parse_known_args()
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@app.route("/zhanting", methods=['POST'])
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def get_isempty():
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start = time.time()
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data = request.get_data()
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ip = request.remote_addr
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print('------ ip = %s ------' % ip)
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json_data = json.loads(data.decode("utf-8"))
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# getdateend = time.time()
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# print('get date use time: {0:.2f}s'.format(getdateend - start))
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pic = json_data.get("file")
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result = {"success": "false",
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"rst_cls": '-1',
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}
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imgdata = base64.b64decode(pic)
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image_path = 'data/images/1.jpg'
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file = open(image_path, 'wb')
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file.write(imgdata)
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pred = detect.detect(opt)
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print('pred', pred)
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getdateend = time.time()
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now_time = datetime.datetime.now()
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print('now_time', now_time)
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print('get date use time: {0:.2f}s'.format(getdateend - start))
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return repr(pred)
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if __name__ == "__main__":
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#app.run()
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http_server = WSGIServer(('0.0.0.0', 8083), app)
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http_server.serve_forever()
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