商城网站现在可以做么,网线制作步骤图片,社保在哪个网站做增员,wordpress存储插件怎么样在前端-选择视频文件-点击上传视频后-后端实时分析上传的视频-在前端展示后端分析结果#xff08;视频#xff0c;文本#xff09;
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咱们先看整看整体代码#xff0c;有个大概的印象。
Flask后端代码 cljc车流检测Demofrom pytz import timezon… 怎么样在前端-选择视频文件-点击上传视频后-后端实时分析上传的视频-在前端展示后端分析结果视频文本
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咱们先看整看整体代码有个大概的印象。
Flask后端代码 cljc车流检测Demofrom pytz import timezone
from datetime import datetime# 用于上传保存视频
app.route(/upload, methods[POST])
def upload_video():VIDEOS_FOLDER static\Videosvideo request.files[video]video.save(os.path.join(VIDEOS_FOLDER, 视频1.mp4))return jsonify({message: Video uploaded and saved successfully}), 200# 用于把后端处理的视频帧数据传输到前端展示
app.route(/video_feed)
def video_feed():return Response(generate_frames(),mimetypemultipart/x-mixed-replace; boundaryframe)# 处理函数
def generate_frames():frame_Num 1 max_cars 0video_path ./static/Videos/视频1.mp4 # 必须固定一个位置用于存放上传的视频文件cap cv2.VideoCapture(video_path)fps cap.get(cv2.CAP_PROP_FPS) carsCascade cv2.CascadeClassifier(car_rear.xml) while cap.isOpened():success, frame cap.read()if not success:break cv2.putText(frame,second:str(round(frame_Num/fps,2))s,(0,100),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,255),1)cars carsCascade.detectMultiScale(frame[700:1280,0:720], 1.2,minSize(10,10)) for (x, y, w, h) in cars: # 遍历所有汽车的区域cv2.rectangle(frame[700:1280,0:720], (x, y), (x w, y h), (0, 0, 255), 2) # 将每一帧转换为JPEG格式并以字节流方式返回ret, buffer cv2.imencode(.jpg, frame)frame buffer.tobytes()frame_Num1yield (b--frame\r\nbContent-Type: image/jpeg\r\n\r\n frame b\r\n)app.route(/) ###主页面路由
def index():return render_template(index.html)
HTML前端代码
!DOCTYPE html PUBLIC -//W3C//DTD XHTML 1.0 Transitional//EN http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd
html xmlnshttp://www.w3.org/1999/xhtml langen
headlink relstylesheet typetext/css href/static/css/cljc.css
meta http-equivContent-Type contenttext/html; charsetutf-8 /
meta nameviewport contentwidthdevice-width, initial-scale1.0
meta http-equivX-UA-Compatible contentIEedgetitle车流监测/title
style typetext/css
body {
margin:0;
padding:0;
font-size:12px;
}/style
/head
body
div classheaderdivstyle* { box-sizing: border-box; } body {margin: 0;}
.c14101{padding:10px;
text-align:center;
font-weight:600;
color:#ffffff;
font-family:Microsoft Yahei, sans-serif;
background-image:url(/static/img/bg3.jpg);
background-repeat:repeat;
background-position:left top;
background-attachment:scroll;
background-size:auto;}/style
div idib1w classc14101车流监测/div/div
/div
div classcolmask threecol
div classcolmid
div classcolleft
div classcol1
divstyle* {box-sizing: border-box;
} body {margin: 0;}
.c14101{padding:10px;
text-align:center;
font-weight:600;
color:#ffffff;
font-family:Microsoft Yahei, sans-serif;
background-image:url(/static/img/bg1.jpg);
background-repeat:repeat;
background-position:left top;background-attachment:scroll;
background-size:auto;}
.htmlpage-row{display:table;
padding-top:10px;
padding-right:10px;
padding-bottom:10px;
padding-left:10px;
width:100%;}
.htmlpage-cell{
width:8%;
display:table-cell;height:75px;}
.c4195{height:400px;width:950px;
text-align:center;
position:relative;}
media (max-width: 768px){
.htmlpage-cell{width:100%;display:block;}}.footer {display: flex;justify-content: center;align-items: center;height: 50; /* 设置合适的高度 */
}#upload-form {display: flex;flex-direction: column;/* align-items: center; */
}/stylediv classhtmlpage-row!-- div classhtmlpage-cell/div --!-- div classhtmlpage-cellvideo allowfullscreenallowfullscreen classc4195 src/static/img/video2.webm controlscontrols/video/div --img src{{ url_for(video_feed) }} width600px height590px!-- div classhtmlpage-cell/div --
/div/div
/divdiv classcol2 div classBoxConTop当前帧数/divinput typetext idframeNumber nameframeNumber readonly stylemargin-top: -100px;div classBoxConTop当前车辆数/divinput typetext idvehicleNumber namevehicleNumber readonly stylemargin-top: -100px;div classBoxConTop车流量峰值/divinput typetext idpeakTraffic namepeakTraffic readonly stylemargin-top: -100px;
/divdiv classcol3p北京时间/pinput typetext idtimeShow nametimeWarning readonlyp安全预警栏/pinput typetext idsafetyWarning namesafetyWarning readonly
/div/div
/div
/div
/div
div classfooterform idupload-forminput typefile idvideo namevideo acceptvideo/*button typesubmit上传视频/button/form
/div
script srchttps://cdn.socket.io/4.0.1/socket.io.min.js/script
scriptvar socket io();socket.on(update_data, function(data) {document.getElementById(frameNumber).value data.frame_Num;document.getElementById(vehicleNumber).value data.car_number;document.getElementById(peakTraffic).value data.max_cars;document.getElementById(timeShow).value data.timeShow;document.getElementById(safetyWarning).value data.safetyWarning;});
/script
/body
scriptdocument.getElementById(upload-form).addEventListener(submit, async (e) {e.preventDefault();const formData new FormData(e.target);const response await fetch(/upload, { method: POST, body: formData });const data await response.json();console.log(data.message);});document.getElementById(play-btn).addEventListener(click, () {const videoFrame document.getElementById(video-frame);const source new EventSource(/play);source.onmessage (event) {videoFrame.src event.data;};});
/script
/html
代码可以创建一个.py文件在编译软件vscode,pycharm中打开这样看起来比较清晰。
video_path ./static/Videos/视频1.mp4
必须固定一个位置这个位置是upload路由从前端传输过来视频数据保存的地址上面是处理函数generate_frames()里面读取的步骤。
下面是保存的步骤,在upload_video()路由 video.save(os.path.join(VIDEOS_FOLDER, 视频1.mp4)) #固定保存视频的地方
二、前后端代码结合讲解
实现上传视频并保存在指定路径的功能
app.route(/upload, methods[POST])
def upload_video():VIDEOS_FOLDER static\Videosvideo request.files[video]video.save(os.path.join(VIDEOS_FOLDER, 视频1.mp4)) #固定保存视频的地方return jsonify({message: Video uploaded and saved successfully}), 200
div classfooterform idupload-forminput typefile idvideo namevideo acceptvideo/*button typesubmit上传视频/button/form
/div
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传输在后端处理好的视频帧数据到前端展示
app.route(/video_feed)
def video_feed():return Response(generate_frames(),mimetypemultipart/x-mixed-replace; boundaryframe)
# 处理函数
def generate_frames():frame_Num 1 max_cars 0video_path ./static/Videos/视频1.mp4 # 必须固定一个位置用于存放上传的视频文件cap cv2.VideoCapture(video_path)fps cap.get(cv2.CAP_PROP_FPS) carsCascade cv2.CascadeClassifier(car_rear.xml) while cap.isOpened():success, frame cap.read()if not success:break cv2.putText(frame,second:str(round(frame_Num/fps,2))s,(0,100),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,255),1)cars carsCascade.detectMultiScale(frame[700:1280,0:720], 1.2,minSize(10,10)) for (x, y, w, h) in cars: # 遍历所有汽车的区域cv2.rectangle(frame[700:1280,0:720], (x, y), (x w, y h), (0, 0, 255), 2) # 将每一帧转换为JPEG格式并以字节流方式返回ret, buffer cv2.imencode(.jpg, frame)frame buffer.tobytes()frame_Num1yield (b--frame\r\nbContent-Type: image/jpeg\r\n\r\n frame b\r\n)这是最关键的其余都是处理函数。最后这一步将每一帧数据转换为了JPEG的格式并以字节流的方式返回。 # 将每一帧转换为JPEG格式并以字节流方式返回# 1.转换为JPEG格式ret, buffer cv2.imencode(.jpg, frame)# 2.转换为字节流frame buffer.tobytes()# 3.通过路由函数发送给前端yield (b--frame\r\nbContent-Type: image/jpeg\r\n\r\n frame b\r\n)yield (b--frame\r\nbContent-Type: image/jpeg\r\n\r\n frame b\r\n)通过上面这个方法yield把转换好的图像以字节流的方式传送给前端那么前端如何接收到呢这很简单
div classhtmlpage-rowimg src{{ url_for(video_feed) }} width600px height590px/div
前端HTML“接收来自后端路由video_feed函数传过来的参数。”后端FLASK“yield通过video_feed函数发送数据给前端。”
