我使用了长颈瓶视频流媒体,并且我想知道在由于检测到QRcode而停止流传输之后如何执行另一项操作。在stackoverflow上也提出了类似的问题,答案是使用JavaScript侦听器。但是,考虑到向浏览器提供视频流的是HTML img元素,我的问题是应该在哪个事件上设置javascript监听器。 我已经在图片标签上尝试了多个事件(中止,错误,暂停...),但没有结果。
def gen(camera):
while True:
frame, is_decoded = camera.get_feed()
if is_decoded :
break
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
@app.route('/video_feed/')
def video_feed():
camera = get_camera()
return Response(gen(camera),
mimetype='multipart/x-mixed-replace; boundary=frame')
<html>
<head>
<link rel="stylesheet" type="text/css" href="{{ url_for('static',filename='style.css') }}">
<title>Camera App</title>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
</head>
<body id="bod">
<center>
<div id="camera">
<img id="cam" src="{{ url_for('video_feed') }}" alt="video feed">
</div>
<script>
document.getElementById("cam").addEventListener("abort", function() {
alert("Hello World!");
});
</script>
</center>
</body>
</html>
答案 0 :(得分:1)
如果您在Supported HTML tags:
中检查onabort,onended,onstalled,onsuspend,则只会看到<video>
和<audio>
但没有<img>
。
可能您将不得不使用JavaScript / AJAX定期询问服务器是否检测到QR。
我发现<img>
与onload
一起使用,后者在每个加载的帧之后执行功能。因此,我将其与Date()
一起使用以修正加载最后一帧的时间,并使用setInterval()
来检查当前时间与最后一帧时间之间的时差以识别流的结束。我假设如果差值大于1s,则它是流的结尾,但这不是理想的方法,因为有时帧之间的延迟可能更长,但仍将其流化。在页面开始时可能会有更长的延迟,并且可能需要稍后再运行代码。
在烧瓶中,我使用self.stop_time
在3秒后停止流播放以模拟流结束。
from flask import Flask, render_template_string, Response
import cv2
import time
app = Flask(__name__)
class Camera():
def __init__(self):
self.video = cv2.VideoCapture(0)
self.start_time = time.time()
self.stop_time = self.start_time + 3
def __del__(self):
self.video.release()
def get_feed(self):
stat, frame = self.video.read()
ret, jpeg = cv2.imencode('.jpg', frame)
is_decoded = (time.time() >= self.stop_time) # stop stream after 3 seconds
return jpeg.tobytes(), is_decoded
# ---
def get_camera():
return Camera()
def gen(camera):
while True:
frame, is_decoded = camera.get_feed()
if is_decoded:
print('stop stream')
break
yield b'--frame\r\nContent-Type: image/jpeg\r\n\r\n' + frame + b'\r\n'
@app.route('/video_feed/')
def video_feed():
camera = get_camera()
return Response(gen(camera), mimetype='multipart/x-mixed-replace; boundary=frame')
@app.route('/')
def index():
return render_template_string(
'''<html>
<body>
<img id="cam" src="{{ url_for('video_feed') }}">
<script>
var last_frame_time = ''; // no time before first frame to skip longer delay at start
document.getElementById("cam").addEventListener("load", function() { // event "load" is generated after every loaded frame
last_frame_time = new Date();
});
var intervalId = window.setInterval(function(){
if(last_frame_time != '') { // to
var current_time = new Date();
var seconds = (current_time - last_frame_time)/1000;
if(seconds >= 1) {
alert("Hello World! " + seconds);
clearInterval(intervalId); // stop checking it
}
}
}, 100); // 100ms = 0.1s
</script>
</body>
</html>''')
if __name__ == '__main__':
app.run()
编辑:
对我来说,这是一个更好的例子。它不使用events
,但使用AJAX
向服务器请求is_decoded
,这意味着流媒体结束。它还可以从服务器中解码QR
。
from flask import Flask, render_template_string, Response, jsonify
import cv2
import time
app = Flask(__name__)
class Camera():
def __init__(self):
self.video = cv2.VideoCapture(0)
self.start_time = time.time()
self.stop_time = self.start_time + 5
self.is_decoded = False # keep it to send it with AJAX
def __del__(self):
self.video.release()
def get_feed(self):
stat, frame = self.video.read()
ret, jpeg = cv2.imencode('.jpg', frame)
self.is_decoded = (time.time() >= self.stop_time) # stop stream after 5 seconds
return jpeg.tobytes(), self.is_decoded
# ---
# create it at start so two functions may use it
camera = Camera()
# send the same camera to two functions
def get_camera():
return camera
def gen(camera):
# start timer only when start streaming
camera.start_time = time.time()
camera.stop_time = camera.start_time + 5
while True:
frame, is_decoded = camera.get_feed()
if is_decoded:
print('stop stream')
break
yield b'--frame\r\nContent-Type: image/jpeg\r\n\r\n' + frame + b'\r\n'
@app.route('/video_feed/')
def video_feed():
camera = get_camera()
return Response(gen(camera), mimetype='multipart/x-mixed-replace; boundary=frame')
@app.route('/is_decoded/')
def is_decoded():
camera = get_camera()
return jsonify({'is_decoded': camera.is_decoded})
@app.route('/')
def index():
return render_template_string(
'''<html>
<head>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
</head>
<body>
<img id="cam" src="{{ url_for('video_feed') }}">
<script>
var intervalId = window.setInterval(function(){
$.getJSON('/is_decoded/', function(data){
if(data['is_decoded'] == true) {
alert("Hello World! " + data['is_decoded']);
clearInterval(intervalId); // stop checking it
};
})
}, 500); // 500ms = 0.5s
</script>
</body>
</html>''')
if __name__ == '__main__':
app.run()
顺便说一句:
据我了解,您想从用户的网络摄像头中检测到图像上的QRcode
-但是cv2
仅适用于本地摄像头,如果其他人会远程使用页面,则它将不起作用。它需要JavaScript才能从他的相机中获取图像,并将其发送到服务器并进行处理。