js_reverse/机器学习/09API搭建与课程总结
2023-07-12 23:26:55 +08:00
..
2023-07-12 23:26:55 +08:00
2023-07-12 23:26:55 +08:00

知识点改写框架api调用

框架目录结构

属性文本

main.py api启动文件

from flask import Flask, request, jsonify
from detect import YOLOv5
from utils.general import cv2
import numpy as np
import base64

app = Flask(__name__)
yolov_5 = YOLOv5()


@app.route("/", methods=["POST"])
def index():
    images = request.values.get("images")
    input_image = base64.b64decode(images)
    imBytes = np.frombuffer(input_image, np.uint8)
    iImage = cv2.imdecode(imBytes, cv2.IMREAD_COLOR)
    result = yolov_5.infer(iImage)
    result = result[0].view(-1).int()
    res_dict = {'coordinate': result.tolist()}
    print(res_dict)
    return jsonify(res_dict)


if __name__ == '__main__':
    app.run(
        host='127.0.0.1',
        port=8888,
        debug=True
    )

test.py 测试文件

import base64
import requests

with open('16329967796715117.jpg', 'rb') as f:
    image = base64.b64encode(f.read())

data = {
    'images': image
}

response = requests.post('http://127.0.0.1:8888/', data=data)
print(response.json())