Django:Exception Value: Invalid HTTP_HOST header 解决方法

本文介绍了在使用Django项目时遇到的一个常见问题:因ALLOWED_HOSTS设置不当导致的HTTP_HOST头验证失败,并提供了解决方案。

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刚才寻思在公网的VPS上跑一下django项目,结果爆了这个错误。

Exception Value:    
Invalid HTTP_HOST header: '111.111.111.111:8999'. You may need to add u'111.111.111.111' to ALLOWED_HOSTS.

这种情况下可以在setting.py中加上一行

ALLOWED_HOSTS = ['*']

即可解决这个问题

import os import time import cv2 import numpy as np import base64 import json import threading from .page_4_1_auto_set import image_detect from django.conf import settings from django.views.decorators.csrf import csrf_exempt from django.shortcuts import render, redirect from django.contrib import messages from django.contrib.auth import authenticate, login, logout from django.contrib.auth.decorators import login_required from django.contrib.auth.forms import PasswordResetForm from django.contrib.auth.tokens import default_token_generator from django.utils.encoding import force_bytes, force_str from django.utils.http import urlsafe_base64_encode, urlsafe_base64_decode from django.core.mail import send_mail from django.contrib.auth.models import User from .models import UserInfo from ultralytics import YOLO from django.forms import Form, FileField from django.contrib.auth.forms import AuthenticationForm from django.http import JsonResponse, StreamingHttpResponse class VideoUploadForm(Form): video = FileField() def wechat_login(request): code = request.GET.get('code') if code: # 获取 access_token url = f'https://api.weixin.qq.com/sns/oauth2/access_token?appid={settings.WECHAT_APPID}&secret={settings.WECHAT_SECRET}&code={code}&grant_type=authorization_code' import requests response = requests.get(url) data = response.json() if 'access_token' in data: access_token = data['access_token'] openid = data['openid'] # 获取用户信息 user_info_url = f'https://api.weixin.qq.com/sns/userinfo?access_token={access_token}&openid={openid}' user_info_response = requests.get(user_info_url) user_info = user_info_response.json() # 处理用户信息,例如创建或登录用户 # ... return redirect('home') else: # 重定向到微信授权页面 authorize_url = f'https://open.weixin.qq.com/connect/oauth2/authorize?appid={settings.WECHAT_APPID}&redirect_uri={settings.WECHAT_REDIRECT_URI}&response_type=code&scope=snsapi_userinfo&state=STATE#wechat_redirect' return redirect(authorize_url) def register(request): if request.method == 'POST': username = request.POST.get('username') email = request.POST.get('email') password1 = request.POST.get('password1') password2 = request.POST.get('password2') # 检查用户名是否已存在 if UserInfo.objects.filter(user__username=username).exists(): messages.error(request, '用户名已注册,请选择其他用户名!') return render(request, 'register.html', { 'username': username, 'email': email, 'error': 'username_exists' }, status=400) # 检查用户名长度 if len(username) < 3: messages.error(request, '用户名至少3个字符!') return render(request, 'register.html', { 'username': username, 'email': email, 'error': 'username_short' }, status=400) # 检查邮箱是否已存在 if UserInfo.objects.filter(email=email).exists(): messages.error(request, '邮箱已注册,请使用其他邮箱!') return render(request, 'register.html', { 'username': username, 'email': email, 'error': 'email_exists' }, status=400) # 检查邮箱格式 import re if not re.match(r'^[^\s@]+@[^\s@]+\.[^\s@]+$', email): messages.error(request, '请输入有效的邮箱地址!') return render(request, 'register.html', { 'username': username, 'email': email, 'error': 'email_invalid' }, status=400) # 检查密码复杂度 special_char_regex = re.compile(r'[!@#$%^&*(),.?":{}|<>]') if len(password1) < 8 or not special_char_regex.search(password1): messages.error(request, '密码长度至少为8个字符,且必须包含特殊字符!') return render(request, 'register.html', { 'username': username, 'email': email, 'error': 'password_weak' }, status=400) # 创建新用户 try: user = User.objects.create_user(username=username, email=email, password=password1) UserInfo.objects.create(user=user, email=email) messages.success(request, '注册成功!') return redirect('login') except Exception as e: messages.error(request, f'注册失败:{str(e)}') return render(request, 'register.html', status=500) return render(request, 'register.html') import logging logger = logging.getLogger(__name__) def user_login(request): if request.method == 'POST': form = AuthenticationForm(request, data=request.POST) if form.is_valid(): username = form.cleaned_data.get('username') password = form.cleaned_data.get('password') user = authenticate(username=username, password=password) if user is not None: login(request, user) next_url = request.GET.get('next') if next_url: return redirect(next_url) return redirect('home') else: logger.error(f"认证失败,用户名: {username}") messages.error(request, '用户名或密码错误,请重试。') else: form = AuthenticationForm() return render(request, 'login.html', {'form': form}) @login_required def user_logout(request): logout(request) messages.success(request, '您已成功退出登录。') return redirect('login') def check_username(request): username = request.GET.get('username') exists = UserInfo.objects.filter(user__username=username).exists() return JsonResponse({ 'exists': exists, 'valid': len(username) >= 3 if username else False }) def check_email(request): email = request.GET.get('email') exists = UserInfo.objects.filter(email=email).exists() import re return JsonResponse({ 'exists': exists, 'valid': bool(re.match(r'^[^\s@]+@[^\s@]+\.[^\s@]+$', email)) if email else False }) def password_reset(request): if request.method == 'POST': form = PasswordResetForm(request.POST) if form.is_valid(): email = form.cleaned_data.get('email') try: user = User.objects.get(email=email) # 生成重置密码的 token 和 uid token = default_token_generator.make_token(user) uid = urlsafe_base64_encode(force_bytes(user.pk)) # 构建重置密码的链接 from django.urls import reverse reset_url = request.build_absolute_uri(reverse('password_reset_confirm', args=[uid, token])) # 发送重置密码的邮件 send_mail( '重置密码', f'请点击以下链接重置您的密码:{reset_url}', settings.EMAIL_HOST_USER, [email], fail_silently=False, ) messages.success(request, '重置密码的邮件已发送,请检查您的邮箱。') return redirect('login') except User.DoesNotExist: messages.error(request, '该邮箱未注册。') else: form = PasswordResetForm() return render(request, 'password_reset.html', {'form': form}) def password_reset_confirm(request, uidb64, token): try: uid = force_str(urlsafe_base64_decode(uidb64)) user = User.objects.get(pk=uid) except (TypeError, ValueError, OverflowError, User.DoesNotExist): user = None if user is not None and default_token_generator.check_token(user, token): if request.method == 'POST': new_password1 = request.POST.get('new_password1') new_password2 = request.POST.get('new_password2') if new_password1 == new_password2: user.set_password(new_password1) user.save() messages.success(request, '密码重置成功,请使用新密码登录。') return redirect('login') else: messages.error(request, '两次输入的密码不一致,请重新输入。') return render(request, 'password_reset_confirm.html', {'uidb64': uidb64, 'token': token}) else: messages.error(request, '重置密码链接无效,请重新申请。') return redirect('password_reset') # @login_required def home(request): return render(request, 'home.html', {}) # @login_required def show_data_html(request): return render(request, 'show_data.html', {}) # @login_required def user_html(request): return render(request, 'user.html', {}) # @login_required def test_html(request): return render(request, 'test.html', {}) # @login_required def detection_html(request): return render(request, 'detection.html', {}) # @login_required def detection_CB_html(request): return render(request, 'detection_CB.html', {}) # @login_required def detection_video_html(request): return render(request, 'detection_video.html', {}) # @login_required def sjdsjksjskfs_html(request): return render(request, 'sjdsjksjskfs.html', {}) # @login_required def upload_video(request): if request.method == 'POST': try: form = VideoUploadForm(request.POST, request.FILES) if form.is_valid(): video_file = form.cleaned_data['video'] # 确保临时目录存在 temp_dir = os.path.join(settings.BASE_DIR, 'temp') if not os.path.exists(temp_dir): os.makedirs(temp_dir) video_path = os.path.join(temp_dir, video_file.name) # 保存视频文件 with open(video_path, 'wb+') as destination: for chunk in video_file.chunks(): destination.write(chunk) return JsonResponse({'status': 'success'}) except Exception as e: return JsonResponse({'status': 'error', 'message': str(e)}) return JsonResponse({ 'status': 'error', 'message': 'Invalid request method' }, status=405) # 明确返回405状态码 @csrf_exempt def detect_video(request): if request.method == 'POST': # 获取视频文件 video_file = request.FILES.get('video') if video_file: # 保存视频文件到临时目录 video_path = os.path.join('temp', video_file.name) with open(video_path, 'wb+') as destination: for chunk in video_file.chunks(): destination.write(chunk) # 模型路径 model_path = os.path.join(settings.BASE_DIR, "Behaviewer/models/best.pt") # 输出视频路径 output_video_dir = os.path.join(settings.MEDIA_ROOT, 'videos') if not os.path.exists(output_video_dir): os.makedirs(output_video_dir) output_video_path = os.path.join(output_video_dir, video_file.name) # 调用函数进行视频目标检测 detect_objects_in_video(model_path, video_path, output_video_path, show=False) # 删除临时视频文件 os.remove(video_path) # 返回检测好的视频文件的路径 output_video_url = f'{settings.MEDIA_URL}videos/{os.path.basename(output_video_path)}' return JsonResponse({'success': True, 'output_video_url': output_video_url}) else: return JsonResponse({'success': False, 'message': '未找到视频文件'}) else: return JsonResponse({'success': False, 'message': '只支持POST请求'}) # 错步页面模型调用检测 def detect_objects_in_video(model_path, video_path, output_path=None, show=True): # 加载预训练模型 model = YOLO(model_path) # 打开视频文件 cap = cv2.VideoCapture(video_path) # 获取视频的帧率、宽度和高度 fps = cap.get(cv2.CAP_PROP_FPS) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) # 如果指定了输出路径,创建视频写入对象 if output_path: fourcc = cv2.VideoWriter_fourcc(*'mp4v') out = cv2.VideoWriter(output_path, fourcc, fps, (width, height)) frame_count = 0 total_time = 0 while cap.isOpened(): ret, frame = cap.read() if not ret: break # 记录开始时间 start_time = time.time() # 进行目标检测 results = model(frame) # 记录结束时间并累加耗时 end_time = time.time() total_time += end_time - start_time frame_count += 1 # 获取检测结果并绘制到帧上 annotated_frame = results[0].plot() # 计算并显示FPS fps_current = 1 / (end_time - start_time) cv2.putText(annotated_frame, f"FPS: {fps_current:.2f}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2) # 保存帧到输出视频 if output_path: out.write(annotated_frame) # 显示结果 if show: cv2.imshow("Object Detection", annotated_frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # 释放资源 cap.release() if output_path: out.release() cv2.destroyAllWindows() # 计算平均FPS if frame_count > 0: avg_fps = frame_count / total_time print(f"处理完成! 平均FPS: {avg_fps:.2f}") print(f"总帧数: {frame_count}") print(f"总耗时: {total_time:.2f}秒") #模态框 #框选目标 #deepseek版 # @csrf_exempt # def detect_target(request): # if request.method == 'POST': # try: # # 获取POST数据 # data = json.loads(request.body) # image_data = data['image'] # roi_data = data['roi'] # # # 从Base64提取图像数据 # header, encoded = image_data.split(",", 1) # image_bytes = base64.b64decode(encoded) # nparr = np.frombuffer(image_bytes, np.uint8) # frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR) # # # 准备配置区域(根据ROI) # x, y, w, h = roi_data['x'], roi_data['y'], roi_data['width'], roi_data['height'] # points = [[x, y], [x + w, y], [x + w, y + h], [x, y + h]] # # # 配置检测区域(格式要求与page_4_1_auto_set.py一致) # config_area_current = {'观察区1': [[points]]} # # # 调用检测算法(使用默认参数) # processed_frame, mean_value = image_detect( # frame, # config_area_current, # currentback=0, # 0=检测比背景暗的目标 # kernal_erode=1, # kernal_dilate=1, # kernal_erode_2=1, # min_area=1, # max_area=10000, # adjust_threshold=15 # ) # # # 将处理后的图像转换为Base64 # _, buffer = cv2.imencode('.jpg', processed_frame) # processed_image_base64 = base64.b64encode(buffer).decode('utf-8') # # return JsonResponse({ # 'success': True, # 'processed_image': processed_image_base64, # 'mean_value': mean_value # }) # except Exception as e: # return JsonResponse({ # 'success': False, # 'message': str(e) # }) # return JsonResponse({'success': False, 'message': 'Invalid request'}) # 存储视频处理任务状态 video_processing_tasks = {} @csrf_exempt def detect_target(request): if request.method == 'POST': try: data = json.loads(request.body) image_data = data['image'] roi_data = data['roi'] video_id = data.get('video_id', str(time.time())) # 从Base64提取图像数据 header, encoded = image_data.split(",", 1) image_bytes = base64.b64decode(encoded) nparr = np.frombuffer(image_bytes, np.uint8) frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR) # 准备配置区域 x, y, w, h = roi_data['x'], roi_data['y'], roi_data['width'], roi_data['height'] points = [[x, y], [x + w, y], [x + w, y + h], [x, y + h]] config_area_current = {'观察区1': [[points]]} # 获取其他配置参数 currentback = data.get('currentback', 0) kernal_erode = data.get('kernal_erode', 1) kernal_dilate = data.get('kernal_dilate', 1) kernal_erode_2 = data.get('kernal_erode_2', 1) min_area = data.get('min_area', 1) max_area = data.get('max_area', 10000) adjust_threshold = data.get('adjust_threshold', 15) # 启动视频处理任务 video_processing_tasks[video_id] = { 'status': 'processing', 'progress': 0, 'config': { 'config_area_current': config_area_current, 'currentback': currentback, 'kernal_erode': kernal_erode, 'kernal_dilate': kernal_dilate, 'kernal_erode_2': kernal_erode_2, 'min_area': min_area, 'max_area': max_area, 'adjust_threshold': adjust_threshold }, 'mean_value': None } # 在后台线程中处理视频 threading.Thread( target=process_video, args=(video_id, frame, video_processing_tasks[video_id]['config']) ).start() return JsonResponse({ 'success': True, 'video_id': video_id, 'message': '视频处理已启动' }) except Exception as e: return JsonResponse({ 'success': False, 'message': str(e) }) return JsonResponse({'success': False, 'message': 'Invalid request'}) def process_video(video_id, sample_frame, config): try: output_dir = os.path.join(settings.MEDIA_ROOT, 'processed_videos') os.makedirs(output_dir, exist_ok=True) output_path = os.path.join(output_dir, f'{video_id}.mp4') print(f"Processing video to: {output_path}") height, width = sample_frame.shape[:2] fourcc = cv2.VideoWriter_fourcc(*'mp4v') out = cv2.VideoWriter(output_path, fourcc, 30, (width, height)) # 模拟处理过程 total_frames = 300 mean_values = [] for i in range(total_frames): progress = int((i + 1) / total_frames * 100) video_processing_tasks[video_id]['progress'] = progress processed_frame, mean_value = image_detect( sample_frame.copy(), config['config_area_current'], currentback=config['currentback'], kernal_erode=config['kernal_erode'], kernal_dilate=config['kernal_dilate'], kernal_erode_2=config['kernal_erode_2'], min_area=config['min_area'], max_area=config['max_area'], adjust_threshold=config['adjust_threshold'] ) out.write(processed_frame) mean_values.append(mean_value) time.sleep(0.03) mean_avg = sum(mean_values) / len(mean_values) if mean_values else 0 video_processing_tasks[video_id] = { 'status': 'completed', 'progress': 100, 'output_path': output_path, 'mean_value': mean_avg } out.release() # 验证生成的视频文件 if not os.path.exists(output_path): print(f"错误:视频文件未生成: {output_path}") elif os.path.getsize(output_path) == 0: print(f"错误:生成的视频文件为空: {output_path}") else: # 尝试打开验证 test_cap = cv2.VideoCapture(output_path) if test_cap.isOpened(): frame_count = int(test_cap.get(cv2.CAP_PROP_FRAME_COUNT)) print(f"视频验证成功: {frame_count}帧") test_cap.release() else: print(f"错误:生成的视频无法打开: {output_path}") except Exception as e: video_processing_tasks[video_id] = { 'status': 'failed', 'message': str(e) } @csrf_exempt def get_processing_status(request): """获取视频处理状态""" video_id = request.GET.get('video_id') if not video_id: return JsonResponse({'success': False, 'message': 'Missing video_id'}) task = video_processing_tasks.get(video_id) if not task: return JsonResponse({'success': False, 'message': 'Invalid video_id'}) response = { 'status': task['status'], 'progress': task.get('progress', 0) } if task['status'] == 'completed': response['video_url'] = f"{settings.MEDIA_URL}processed_videos/{video_id}.mp4" response['mean_value'] = task['mean_value'] return JsonResponse(response) def video_stream(request, video_id): """实时视频流处理""" output_dir = os.path.join(settings.MEDIA_ROOT, 'processed_videos') output_path = os.path.join(output_dir, f'{video_id}.mp4') # 检查文件是否存在 if not os.path.exists(output_path): print(f"视频文件不存在: {output_path}") return JsonResponse({'error': '视频文件不存在'}, status=404) # 检查文件大小 if os.path.getsize(output_path) == 0: print(f"视频文件为空: {output_path}") return JsonResponse({'error': '视频文件无效'}, status=500) try: cap = cv2.VideoCapture(output_path) if not cap.isOpened(): print(f"OpenCV无法打开视频: {output_path}") # 尝试使用FFmpeg后端 cap = cv2.VideoCapture(output_path, cv2.CAP_FFMPEG) if not cap.isOpened(): raise RuntimeError("FFmpeg后端也无法打开视频") # 获取视频属性 fps = cap.get(cv2.CAP_PROP_FPS) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) print(f"视频属性: {width}x{height}@{fps}fps") def generate(): while cap.isOpened(): ret, frame = cap.read() if not ret: break # 将帧转换为JPEG格式 ret, jpeg = cv2.imencode('.jpg', frame) if not ret: continue yield (b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' + jpeg.tobytes() + b'\r\n') cap.release() print("视频流结束") return StreamingHttpResponse( generate(), content_type='multipart/x-mixed-replace; boundary=frame' ) except Exception as e: print(f"视频流错误: {str(e)}") return JsonResponse({ 'success': False, 'message': f'视频流错误: {str(e)}' }, status=500) @csrf_exempt def update_processing_config(request): """更新处理配置""" data = json.loads(request.body) video_id = data.get('video_id') config = data.get('config') if not video_id or not config: return JsonResponse({'success': False, 'message': 'Missing parameters'}) task = video_processing_tasks.get(video_id) if not task or task['status'] != 'processing': return JsonResponse({'success': False, 'message': 'Invalid task'}) # 更新配置 task['config'] = { **task['config'], **config } return JsonResponse({'success': True}) @csrf_exempt def cancel_processing(request): """取消处理任务""" video_id = request.GET.get('video_id') if not video_id: return JsonResponse({'success': False, 'message': 'Missing video_id'}) if video_id in video_processing_tasks: # 标记任务为取消状态 video_processing_tasks[video_id]['status'] = 'cancelled' return JsonResponse({'success': True}) 读取的视频应该是点击开始检测后,在模态框中带ROI的视频,路径是否需要修改,报错OpenCV(4.11.0) D:\a\opencv-python\opencv-python\opencv\modules\videoio\src\cap_images.cpp:267: error: (-215:Assertion failed) number < max_number in function 'cv::icvExtractPattern' OpenCV无法打开视频: C:\Users\16660\Desktop\网页搭建\Behaviewer\media\processed_videos\1753693248.7277818.mp4 视频流错误: FFmpeg后端也无法打开视频 Internal Server Error: /video_stream/1753693248.7277818/ HTTP GET /video_stream/1753693248.7277818/ 500 [0.16, 127.0.0.1:9128] HTTP GET /get_processing_status/?video_id=1753693248.7277818 200 [0.00, 127.0.0.1:9128]
最新发布
07-29
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