From 75d2daa3e09b9bfd06afe3bf6f4694643c0060af Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cjiuan=E2=80=9D?= <“3041302830@qq.com”>
Date: Fri, 11 Jul 2025 11:03:06 +0800
Subject: [PATCH 1/2] V2.0
---
src/yolo测试代码/README.md | 75 ++++
src/yolo测试代码/app.log | 0
src/yolo测试代码/app.py | 221 ++++++++++++
src/yolo测试代码/requirements.txt | 9 +
src/yolo测试代码/static/css/style.css | 337 ++++++++++++++++++
src/yolo测试代码/static/js/main.js | 265 ++++++++++++++
.../static/uploads/20250711_103124_jpg | Bin 0 -> 1161076 bytes
src/yolo测试代码/templates/index.html | 128 +++++++
.../__pycache__/detector.cpython-312.pyc | Bin 0 -> 4806 bytes
src/yolo测试代码/utils/detector.py | 107 ++++++
10 files changed, 1142 insertions(+)
create mode 100644 src/yolo测试代码/README.md
create mode 100644 src/yolo测试代码/app.log
create mode 100644 src/yolo测试代码/app.py
create mode 100644 src/yolo测试代码/requirements.txt
create mode 100644 src/yolo测试代码/static/css/style.css
create mode 100644 src/yolo测试代码/static/js/main.js
create mode 100644 src/yolo测试代码/static/uploads/20250711_103124_jpg
create mode 100644 src/yolo测试代码/templates/index.html
create mode 100644 src/yolo测试代码/utils/__pycache__/detector.cpython-312.pyc
create mode 100644 src/yolo测试代码/utils/detector.py
diff --git a/src/yolo测试代码/README.md b/src/yolo测试代码/README.md
new file mode 100644
index 0000000..117cedc
--- /dev/null
+++ b/src/yolo测试代码/README.md
@@ -0,0 +1,75 @@
+# 无人机识别系统 - Web版
+
+这是一个基于YOLO模型的无人机识别系统的Web应用版本，提供了简单的网页界面来进行无人机目标检测。
+
+## 功能特点
+
+- 网页界面操作，支持跨平台访问
+- 支持图片上传和识别
+- 支持实时摄像头识别
+- 显示识别结果和置信度
+- 可视化检测框标注
+
+## 使用方法
+
+1. 确保已安装所需依赖：
+```bash
+pip install -r requirements.txt
+```
+
+2. 运行服务器：
+```bash
+python app.py
+```
+
+3. 打开浏览器访问：
+```
+http://localhost:5000
+```
+
+4. 在网页界面中：
+ - 点击"选择图片"按钮上传本地图片进行识别
+ - 点击"打开摄像头"按钮进行实时识别
+
+## 系统要求
+
+- Python 3.8+
+- CUDA支持（推荐）
+- 现代浏览器（Chrome、Firefox、Edge等）
+
+## 项目结构
+
+```
+├── app.py # Flask应用主程序
+├── requirements.txt # 项目依赖
+├── static/ # 静态文件目录
+│ ├── css/ # 样式文件
+│ └── js/ # JavaScript文件
+├── templates/ # HTML模板目录
+├── utils/ # 工具函数
+│ └── detector.py # 检测器类
+```
+
+## API接口
+
+### POST /api/detect
+上传图片进行检测
+
+请求：
+- Content-Type: multipart/form-data
+- 参数：file（图片文件）
+
+响应：
+```json
+{
+ "success": true,
+ "detections": [
+ {
+ "bbox": [x1, y1, x2, y2],
+ "confidence": 0.95,
+ "class_name": "drone"
+ }
+ ],
+ "image_url": "/static/results/result_123.jpg"
+}
+```
\ No newline at end of file
diff --git a/src/yolo测试代码/app.log b/src/yolo测试代码/app.log
new file mode 100644
index 0000000..e69de29
diff --git a/src/yolo测试代码/app.py b/src/yolo测试代码/app.py
new file mode 100644
index 0000000..ce7aff9
--- /dev/null
+++ b/src/yolo测试代码/app.py
@@ -0,0 +1,221 @@
+import os
+from flask import Flask, request, jsonify, render_template, send_from_directory
+from werkzeug.utils import secure_filename
+import cv2
+import numpy as np
+from utils.detector import DroneDetector
+import base64
+from datetime import datetime
+import logging
+import traceback
+from flask_cors import CORS
+import time
+import random
+
+# 配置日志
+logging.basicConfig(
+ level=logging.INFO,
+ format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+ handlers=[
+ logging.FileHandler('app.log'),
+ logging.StreamHandler()
+ ]
+)
+logger = logging.getLogger(__name__)
+
+app = Flask(__name__)
+# 启用CORS
+CORS(app)
+
+# 配置
+app.config['UPLOAD_FOLDER'] = 'static/uploads'
+app.config['RESULTS_FOLDER'] = 'static/results'
+app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024 # 16MB最大上传限制
+app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0 # 禁用缓存
+
+# 确保上传和结果目录存在
+os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
+os.makedirs(app.config['RESULTS_FOLDER'], exist_ok=True)
+
+# 初始化检测器
+try:
+ detector = DroneDetector("D:/drone2/weights/best.pt")
+except Exception as e:
+ logger.error(f"初始化检测器失败：{str(e)}")
+ raise
+
+def allowed_file(filename):
+ """检查文件扩展名是否允许"""
+ return '.' in filename and filename.rsplit('.', 1)[1].lower() in {'png', 'jpg', 'jpeg', 'gif'}
+
+def clean_old_files():
+ """清理旧的上传和结果文件"""
+ try:
+ current_time = time.time()
+ # 清理超过1小时的文件
+ for folder in [app.config['UPLOAD_FOLDER'], app.config['RESULTS_FOLDER']]:
+ for filename in os.listdir(folder):
+ filepath = os.path.join(folder, filename)
+ if os.path.isfile(filepath):
+ if current_time - os.path.getmtime(filepath) > 3600: # 1小时
+ os.remove(filepath)
+ except Exception as e:
+ logger.error(f"清理文件时出错：{str(e)}")
+
+@app.before_request
+def before_request():
+ """请求预处理"""
+ # 定期清理文件
+ if random.random() < 0.1: # 10%的概率执行清理
+ clean_old_files()
+
+@app.after_request
+def after_request(response):
+ """请求后处理"""
+ # 添加必要的响应头
+ response.headers.add('Access-Control-Allow-Origin', '*')
+ response.headers.add('Access-Control-Allow-Headers', 'Content-Type')
+ response.headers.add('Access-Control-Allow-Methods', 'GET, POST, OPTIONS')
+ response.headers.add('Cache-Control', 'no-store, no-cache, must-revalidate, max-age=0')
+ return response
+
+@app.route('/')
+def index():
+ """渲染主页"""
+ try:
+ return render_template('index.html')
+ except Exception as e:
+ logger.error(f"渲染主页时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '服务器内部错误'}), 500
+
+@app.route('/api/detect', methods=['POST'])
+def detect():
+ """处理图片检测请求"""
+ try:
+ if 'file' not in request.files:
+ return jsonify({'success': False, 'error': '没有文件上传'}), 400
+
+ file = request.files['file']
+ if file.filename == '':
+ return jsonify({'success': False, 'error': '没有选择文件'}), 400
+
+ if not allowed_file(file.filename):
+ return jsonify({'success': False, 'error': '不支持的文件类型'}), 400
+
+ # 保存上传的文件
+ filename = secure_filename(file.filename)
+ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+ filename = f"{timestamp}_{filename}"
+ filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
+
+ try:
+ file.save(filepath)
+ except Exception as e:
+ logger.error(f"保存文件时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '保存文件失败'}), 500
+
+ logger.info(f"接收到文件：{filename}")
+
+ # 读取图片
+ try:
+ image = cv2.imread(filepath)
+ if image is None:
+ raise Exception("无法读取图片")
+ except Exception as e:
+ logger.error(f"读取图片时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '读取图片失败'}), 500
+
+ # 执行检测
+ try:
+ processed_image, detections = detector.detect_image(image)
+ except Exception as e:
+ logger.error(f"执行检测时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '执行检测失败'}), 500
+
+ # 保存结果图片
+ try:
+ result_filename = f"result_{filename}"
+ result_filepath = os.path.join(app.config['RESULTS_FOLDER'], result_filename)
+ cv2.imwrite(result_filepath, processed_image)
+ except Exception as e:
+ logger.error(f"保存结果图片时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '保存结果失败'}), 500
+
+ logger.info(f"检测完成，结果保存为：{result_filename}")
+
+ # 构建响应
+ response = {
+ 'success': True,
+ 'detections': detections,
+ 'image_url': f"/static/results/{result_filename}"
+ }
+
+ return jsonify(response)
+
+ except Exception as e:
+ logger.error(f"处理检测请求时出错：{str(e)}\n{traceback.format_exc()}")
+ return jsonify({
+ 'success': False,
+ 'error': str(e),
+ 'details': traceback.format_exc()
+ }), 500
+
+@app.route('/api/detect_stream', methods=['POST'])
+def detect_stream():
+ """处理Base64编码的图片流"""
+ try:
+ # 获取Base64编码的图片数据
+ data = request.json
+ if not data or 'image' not in data:
+ return jsonify({'success': False, 'error': '没有图片数据'}), 400
+
+ # 解码Base64图片
+ try:
+ image_data = data['image'].split(',')[1] if ',' in data['image'] else data['image']
+ image_bytes = base64.b64decode(image_data)
+ nparr = np.frombuffer(image_bytes, np.uint8)
+ image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+ except Exception as e:
+ logger.error(f"解码Base64图片时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '无法解码图片数据'}), 400
+
+ if image is None:
+ return jsonify({'success': False, 'error': '无法解码图片数据'}), 400
+
+ # 执行检测
+ try:
+ processed_image, detections = detector.detect_image(image)
+ except Exception as e:
+ logger.error(f"执行检测时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '执行检测失败'}), 500
+
+ # 将处理后的图片编码为Base64
+ try:
+ _, buffer = cv2.imencode('.jpg', processed_image)
+ processed_image_base64 = base64.b64encode(buffer).decode('utf-8')
+ except Exception as e:
+ logger.error(f"编码处理后的图片时出错：{str(e)}")
+ return jsonify({'success': False, 'error': '无法编码处理后的图片'}), 500
+
+ # 构建响应
+ response = {
+ 'success': True,
+ 'detections': detections,
+ 'image': f"data:image/jpeg;base64,{processed_image_base64}"
+ }
+
+ return jsonify(response)
+
+ except Exception as e:
+ logger.error(f"处理视频流时出错：{str(e)}\n{traceback.format_exc()}")
+ return jsonify({
+ 'success': False,
+ 'error': str(e),
+ 'details': traceback.format_exc()
+ }), 500
+
+if __name__ == '__main__':
+ # 添加SSL上下文（如果需要）
+ # context = ('cert.pem', 'key.pem')
+ app.run(debug=True, host='0.0.0.0', port=5000)
+ # app.run(debug=True, host='0.0.0.0', port=5000, ssl_context=context)
\ No newline at end of file
diff --git a/src/yolo测试代码/requirements.txt b/src/yolo测试代码/requirements.txt
new file mode 100644
index 0000000..5d4f953
--- /dev/null
+++ b/src/yolo测试代码/requirements.txt
@@ -0,0 +1,9 @@
+torch>=2.0.0
+torchvision>=0.15.0
+opencv-python>=4.7.0
+numpy>=1.24.0
+ultralytics>=8.0.0
+Flask>=2.0.0
+Pillow>=9.0.0
+python-dotenv>=0.19.0
+flask-cors>=3.0.10
\ No newline at end of file
diff --git a/src/yolo测试代码/static/css/style.css b/src/yolo测试代码/static/css/style.css
new file mode 100644
index 0000000..0dfa2ef
--- /dev/null
+++ b/src/yolo测试代码/static/css/style.css
@@ -0,0 +1,337 @@
+/* 全局变量 */
+:root {
+ --primary-color: #4a90e2;
+ --secondary-color: #50e3c2;
+ --background-color: #f8f9fa;
+ --card-background: #ffffff;
+ --text-color: #2c3e50;
+ --border-color: #e9ecef;
+ --hover-color: #3498db;
+ --shadow-color: rgba(0, 0, 0, 0.1);
+ --gradient-start: #4a90e2;
+ --gradient-end: #50e3c2;
+}
+
+/* 深色模式 */
+[data-theme="dark"] {
+ --background-color: #1a1a1a;
+ --card-background: #2d2d2d;
+ --text-color: #e0e0e0;
+ --border-color: #404040;
+ --shadow-color: rgba(0, 0, 0, 0.3);
+}
+
+/* 全局样式 */
+body {
+ background-color: var(--background-color);
+ color: var(--text-color);
+ transition: all 0.3s ease;
+ min-height: 100vh;
+ display: flex;
+ flex-direction: column;
+}
+
+/* 导航栏样式 */
+.navbar {
+ background: linear-gradient(135deg, var(--gradient-start), var(--gradient-end));
+ padding: 1rem 0;
+ box-shadow: 0 2px 10px var(--shadow-color);
+}
+
+.navbar-brand {
+ font-size: 1.5rem;
+ font-weight: 700;
+ display: flex;
+ align-items: center;
+ gap: 0.5rem;
+}
+
+.navbar-brand i {
+ font-size: 1.8rem;
+}
+
+/* 主容器样式 */
+.main-container {
+ flex: 1;
+ padding: 2rem 0;
+}
+
+.content-wrapper {
+ max-width: 1200px;
+ margin: 0 auto;
+}
+
+/* 卡片通用样式 */
+.card {
+ background-color: var(--card-background);
+ border: 1px solid var(--border-color);
+ border-radius: 15px;
+ box-shadow: 0 4px 6px var(--shadow-color);
+ margin-bottom: 2rem;
+ transition: transform 0.3s ease, box-shadow 0.3s ease;
+}
+
+.card:hover {
+ transform: translateY(-5px);
+ box-shadow: 0 8px 15px var(--shadow-color);
+}
+
+/* 模式选择器样式 */
+.mode-selector {
+ padding: 1rem;
+}
+
+.btn-mode {
+ padding: 1rem 2rem;
+ border: none;
+ background-color: var(--card-background);
+ color: var(--text-color);
+ transition: all 0.3s ease;
+ display: flex;
+ align-items: center;
+ gap: 0.5rem;
+ font-weight: 500;
+}
+
+.btn-mode i {
+ font-size: 1.2rem;
+}
+
+.btn-mode.active {
+ background: linear-gradient(135deg, var(--gradient-start), var(--gradient-end));
+ color: white;
+}
+
+/* 操作区域样式 */
+.operation-area {
+ padding: 2rem;
+}
+
+.upload-zone {
+ border: 2px dashed var(--border-color);
+ border-radius: 10px;
+ padding: 3rem;
+ text-align: center;
+ cursor: pointer;
+ transition: all 0.3s ease;
+ position: relative;
+}
+
+.upload-zone:hover {
+ border-color: var(--primary-color);
+ background-color: rgba(74, 144, 226, 0.05);
+}
+
+.upload-content i {
+ font-size: 3rem;
+ color: var(--primary-color);
+ margin-bottom: 1rem;
+}
+
+.file-input {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ opacity: 0;
+ cursor: pointer;
+}
+
+/* 摄像头区域样式 */
+.camera-section {
+ text-align: center;
+}
+
+.camera-controls {
+ margin-bottom: 2rem;
+}
+
+.btn-camera {
+ padding: 1rem 2rem;
+ border-radius: 50px;
+ font-weight: 500;
+ display: inline-flex;
+ align-items: center;
+ gap: 0.5rem;
+ transition: all 0.3s ease;
+}
+
+.btn-camera i {
+ font-size: 1.2rem;
+}
+
+/* 显示区域样式 */
+.display-area {
+ position: relative;
+ margin-top: 2rem;
+ border-radius: 10px;
+ overflow: hidden;
+ background-color: var(--background-color);
+}
+
+#canvas {
+ width: 100%;
+ max-width: 100%;
+ height: auto;
+ display: block;
+}
+
+.loading-overlay {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ background: rgba(0, 0, 0, 0.7);
+ display: flex;
+ flex-direction: column;
+ justify-content: center;
+ align-items: center;
+ color: white;
+}
+
+.loading-overlay p {
+ margin-top: 1rem;
+ font-weight: 500;
+}
+
+/* 检测结果样式 */
+.results-card {
+ animation: slideUp 0.5s ease;
+}
+
+.card-header {
+ background: linear-gradient(135deg, var(--gradient-start), var(--gradient-end));
+ color: white;
+ border-bottom: none;
+ border-radius: 14px 14px 0 0 !important;
+}
+
+.detection-list {
+ display: grid;
+ gap: 1rem;
+ grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+}
+
+.detection-item {
+ background-color: var(--background-color);
+ padding: 1rem;
+ border-radius: 8px;
+ display: flex;
+ align-items: center;
+ gap: 1rem;
+}
+
+.detection-icon {
+ width: 40px;
+ height: 40px;
+ border-radius: 50%;
+ background: linear-gradient(135deg, var(--gradient-start), var(--gradient-end));
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ color: white;
+}
+
+.detection-info {
+ flex: 1;
+}
+
+.detection-label {
+ font-weight: 500;
+ margin-bottom: 0.25rem;
+}
+
+.detection-confidence {
+ font-size: 0.875rem;
+ color: var(--text-color);
+ opacity: 0.8;
+}
+
+/* 错误提示样式 */
+.alert {
+ border-radius: 10px;
+ display: flex;
+ align-items: center;
+ gap: 0.5rem;
+ animation: slideIn 0.3s ease;
+}
+
+/* 页脚样式 */
+.footer {
+ background-color: var(--card-background);
+ padding: 1.5rem 0;
+ margin-top: auto;
+ border-top: 1px solid var(--border-color);
+}
+
+/* 动画效果 */
+@keyframes slideUp {
+ from {
+ opacity: 0;
+ transform: translateY(20px);
+ }
+ to {
+ opacity: 1;
+ transform: translateY(0);
+ }
+}
+
+@keyframes slideIn {
+ from {
+ opacity: 0;
+ transform: translateX(-20px);
+ }
+ to {
+ opacity: 1;
+ transform: translateX(0);
+ }
+}
+
+/* 响应式设计 */
+@media (max-width: 768px) {
+ .navbar-brand {
+ font-size: 1.2rem;
+ }
+
+ .operation-area {
+ padding: 1rem;
+ }
+
+ .upload-zone {
+ padding: 2rem;
+ }
+
+ .detection-list {
+ grid-template-columns: 1fr;
+ }
+}
+
+/* 主题切换按钮 */
+.theme-toggle {
+ position: fixed;
+ bottom: 2rem;
+ right: 2rem;
+ width: 50px;
+ height: 50px;
+ border-radius: 50%;
+ background: linear-gradient(135deg, var(--gradient-start), var(--gradient-end));
+ color: white;
+ border: none;
+ box-shadow: 0 4px 10px var(--shadow-color);
+ cursor: pointer;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ transition: all 0.3s ease;
+ z-index: 1000;
+}
+
+.theme-toggle:hover {
+ transform: scale(1.1);
+}
+
+.theme-toggle i {
+ font-size: 1.5rem;
+}
\ No newline at end of file
diff --git a/src/yolo测试代码/static/js/main.js b/src/yolo测试代码/static/js/main.js
new file mode 100644
index 0000000..633156a
--- /dev/null
+++ b/src/yolo测试代码/static/js/main.js
@@ -0,0 +1,265 @@
+// 全局变量
+let stream = null;
+let isStreaming = false;
+let streamInterval = null;
+
+// DOM元素
+const imageMode = document.getElementById('imageMode');
+const cameraMode = document.getElementById('cameraMode');
+const imageSection = document.getElementById('imageSection');
+const cameraSection = document.getElementById('cameraSection');
+const imageInput = document.getElementById('imageInput');
+const dropZone = document.getElementById('dropZone');
+const startCamera = document.getElementById('startCamera');
+const stopCamera = document.getElementById('stopCamera');
+const video = document.getElementById('video');
+const canvas = document.getElementById('canvas');
+const results = document.getElementById('results');
+const detectionsList = document.getElementById('detectionsList');
+const error = document.getElementById('error');
+const loadingOverlay = document.querySelector('.loading-overlay');
+
+// 初始化canvas
+const ctx = canvas.getContext('2d');
+
+// 模式切换处理
+imageMode.addEventListener('click', () => {
+ switchMode('image');
+});
+
+cameraMode.addEventListener('click', () => {
+ switchMode('camera');
+});
+
+function switchMode(mode) {
+ // 重置状态
+ stopCameraStream();
+ clearCanvas();
+ hideResults();
+ hideError();
+
+ // 更新UI
+ if (mode === 'image') {
+ imageMode.classList.add('active');
+ cameraMode.classList.remove('active');
+ imageSection.style.display = 'block';
+ cameraSection.style.display = 'none';
+ } else {
+ cameraMode.classList.add('active');
+ imageMode.classList.remove('active');
+ imageSection.style.display = 'none';
+ cameraSection.style.display = 'block';
+ }
+}
+
+// 拖放处理
+dropZone.addEventListener('dragover', (e) => {
+ e.preventDefault();
+ dropZone.classList.add('upload-zone-active');
+});
+
+dropZone.addEventListener('dragleave', (e) => {
+ e.preventDefault();
+ dropZone.classList.remove('upload-zone-active');
+});
+
+dropZone.addEventListener('drop', (e) => {
+ e.preventDefault();
+ dropZone.classList.remove('upload-zone-active');
+
+ const files = e.dataTransfer.files;
+ if (files.length > 0) {
+ imageInput.files = files;
+ handleImageUpload(files[0]);
+ }
+});
+
+// 图片上传处理
+imageInput.addEventListener('change', (e) => {
+ if (e.target.files && e.target.files[0]) {
+ handleImageUpload(e.target.files[0]);
+ }
+});
+
+async function handleImageUpload(file) {
+ showLoading();
+ hideError();
+ hideResults();
+
+ const formData = new FormData();
+ formData.append('file', file);
+
+ try {
+ const response = await fetch('/api/detect', {
+ method: 'POST',
+ body: formData
+ });
+
+ const data = await response.json();
+
+ if (data.success) {
+ // 加载并显示结果图片
+ const img = new Image();
+ img.onload = () => {
+ // 调整canvas大小以适应图片
+ canvas.width = img.width;
+ canvas.height = img.height;
+ ctx.drawImage(img, 0, 0);
+ hideLoading();
+ };
+ img.src = data.image_url;
+
+ // 显示检测结果
+ displayDetections(data.detections);
+ } else {
+ showError(data.error);
+ hideLoading();
+ }
+ } catch (err) {
+ showError('上传图片时发生错误：' + err.message);
+ hideLoading();
+ }
+}
+
+// 摄像头控制
+startCamera.addEventListener('click', async () => {
+ try {
+ hideError();
+ showLoading();
+
+ stream = await navigator.mediaDevices.getUserMedia({ video: true });
+ video.srcObject = stream;
+ video.style.display = 'block';
+ startCamera.style.display = 'none';
+ stopCamera.style.display = 'inline-block';
+ isStreaming = true;
+
+ hideLoading();
+
+ // 开始定期发送帧进行检测
+ streamInterval = setInterval(detectFrame, 1000); // 每秒检测一次
+ } catch (err) {
+ showError('无法访问摄像头：' + err.message);
+ hideLoading();
+ }
+});
+
+stopCamera.addEventListener('click', () => {
+ stopCameraStream();
+});
+
+function stopCameraStream() {
+ if (stream) {
+ stream.getTracks().forEach(track => track.stop());
+ stream = null;
+ }
+ if (streamInterval) {
+ clearInterval(streamInterval);
+ streamInterval = null;
+ }
+ video.style.display = 'none';
+ startCamera.style.display = 'inline-block';
+ stopCamera.style.display = 'none';
+ isStreaming = false;
+ clearCanvas();
+ hideResults();
+}
+
+// 检测视频帧
+async function detectFrame() {
+ if (!isStreaming) return;
+
+ try {
+ // 将视频帧绘制到canvas
+ canvas.width = video.videoWidth;
+ canvas.height = video.videoHeight;
+ ctx.drawImage(video, 0, 0);
+
+ // 获取canvas图像数据
+ const imageData = canvas.toDataURL('image/jpeg');
+
+ // 发送到服务器进行检测
+ const response = await fetch('/api/detect_stream', {
+ method: 'POST',
+ headers: {
+ 'Content-Type': 'application/json'
+ },
+ body: JSON.stringify({ image: imageData })
+ });
+
+ const data = await response.json();
+
+ if (data.success) {
+ // 显示检测结果图像
+ const img = new Image();
+ img.onload = () => {
+ ctx.drawImage(img, 0, 0);
+ };
+ img.src = data.image;
+
+ // 显示检测结果
+ displayDetections(data.detections);
+ } else {
+ showError(data.error);
+ }
+ } catch (err) {
+ showError('处理视频帧时发生错误：' + err.message);
+ }
+}
+
+// 显示检测结果
+function displayDetections(detections) {
+ if (!detections || detections.length === 0) {
+ hideResults();
+ return;
+ }
+
+ results.style.display = 'block';
+ results.classList.add('fade-in');
+ detectionsList.innerHTML = '';
+
+ detections.forEach((det, index) => {
+ const item = document.createElement('div');
+ item.className = 'detection-item fade-in';
+ item.innerHTML = `
+
+
+ 无人机 ${index + 1}
+
+
+
+ 置信度: ${(det.confidence * 100).toFixed(1)}%
+
+ `;
+ detectionsList.appendChild(item);
+ });
+}
+
+// 工具函数
+function showLoading() {
+ loadingOverlay.style.display = 'flex';
+}
+
+function hideLoading() {
+ loadingOverlay.style.display = 'none';
+}
+
+function showError(message) {
+ error.querySelector('.error-message').textContent = message;
+ error.style.display = 'block';
+ error.classList.add('fade-in');
+}
+
+function hideError() {
+ error.style.display = 'none';
+ error.classList.remove('fade-in');
+}
+
+function hideResults() {
+ results.style.display = 'none';
+ results.classList.remove('fade-in');
+}
+
+function clearCanvas() {
+ ctx.clearRect(0, 0, canvas.width, canvas.height);
+}
\ No newline at end of file
diff --git a/src/yolo测试代码/static/uploads/20250711_103124_jpg b/src/yolo测试代码/static/uploads/20250711_103124_jpg
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