这个是使用flask实现好看登录界面和友好的检测界面实现yolov8推理和展示，代码仅仅有2个html文件和一个python文件，真正做到了用最简洁的代码实现复杂功能。
测试通过环境：
windows x64
anaconda3+python3.8
ultralytics==8.3.81
flask==1.1.2
torch==2.3.0
运行步骤： 安装好环境执行python login.py
后端实现代码：
from flask import Flask, render_template, request, redirect, url_for, session, flash, Response, jsonify
import os
from functools import wraps
from ultralytics import YOLO
import cv2
import numpy as np
import base64
import json
app = Flask(__name__)
app.secret_key = 'your_secret_key' # 设置密钥用于session
# 初始化YOLOv8模型
model = YOLO('yolov8n.pt') # 或使用其他版本如 yolov8s.pt, yolov8m.pt
# 登录验证装饰器
def login_required(f):
@wraps(f)
def decorated_function(*args, **kwargs):
if 'logged_in' not in session:
return redirect(url_for('login'))
return f(*args, **kwargs)
return decorated_function
# 登录路由
@app.route('/', methods=['GET', 'POST'])
@app.route('/login', methods=['GET', 'POST'])
def login():
if request.method == 'POST':
username = request.form['username']
password = request.form['password']
if username == 'admin' and password == 'admin':
session['logged_in'] = True
return redirect(url_for('detection'))
else:
flash('Invalid username or password!')
return render_template('login.html')
# 目标检测路由
@app.route('/detection')
@login_required
def detection():
return render_template('detection.html')
@app.route('/detect', methods=['POST'])
@login_required
def detect():
try:
data = request.json
image_data = data['image'].split(',')[1]
confidence = float(data['confidence'])
iou = float(data['iou'])
# 解码base64图像
image_bytes = base64.b64decode(image_data)
nparr = np.frombuffer(image_bytes, np.uint8)
image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
# 运行检测
results = model(image, conf=confidence, iou=iou)[0]
# 在图像上绘制检测结果
for box in results.boxes:
x1, y1, x2, y2 = map(int, box.xyxy[0])
conf = float(box.conf[0])
cls = int(box.cls[0])
label = f'{results.names[cls]} {conf:.2f}'
cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
cv2.putText(image, label, (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
# 将结果图像转换为base64
_, buffer = cv2.imencode('.jpg', image)
image_base64 = base64.b64encode(buffer).decode('utf-8')
return jsonify({
'success': True,
'image': f'data:image/jpeg;base64,{image_base64}'
})
except Exception as e:
return jsonify({
'success': False,
'error': str(e)
})
@app.route('/detect_video_frame', methods=['POST'])
@login_required
def detect_video_frame():
# 类似于detect路由，但专门处理视频帧
# ... implementation similar to detect route ...
pass
if __name__ == '__main__':
app.run(debug=True)
登录界面：
目标检测界面：
