|
|
@@ -0,0 +1,40 @@
|
|
|
+from flask import Flask, render_template, Response
|
|
|
+import cv2
|
|
|
+
|
|
|
+
|
|
|
+class VideoCamera(object):
|
|
|
+ def __init__(self):
|
|
|
+ # 通过opencv获取实时视频流
|
|
|
+ self.video = cv2.VideoCapture(0)
|
|
|
+
|
|
|
+ def __del__(self):
|
|
|
+ self.video.release()
|
|
|
+
|
|
|
+ def get_frame(self):
|
|
|
+ success, image = self.video.read()
|
|
|
+ # 在这里处理视频帧
|
|
|
+ cv2.putText(image, "hello", (10, 30),
|
|
|
+ cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0))
|
|
|
+ # 因为opencv读取的图片并非jpeg格式，因此要用motion JPEG模式需要先将图片转码成jpg格式图片
|
|
|
+ ret, jpeg = cv2.imencode('.jpg', image)
|
|
|
+ return jpeg.tobytes()
|
|
|
+ app = Flask(__name__, static_folder='./static') @ app.route('/')
|
|
|
+ # 主页
|
|
|
+
|
|
|
+ def index():
|
|
|
+ # jinja2模板，具体格式保存在index.html文件中
|
|
|
+ return render_template('index.html')
|
|
|
+
|
|
|
+ def gen(camera):
|
|
|
+ while True:
|
|
|
+ frame = camera.get_frame()
|
|
|
+ # 使用generator函数输出视频流， 每次请求输出的content类型是image/jpeg
|
|
|
+ yield (b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n') @ app.route('/video_feed')
|
|
|
+ # 这个地址返回视频流响应
|
|
|
+
|
|
|
+ def video_feed():
|
|
|
+ return Response(gen(VideoCamera()), mimetype='multipart/x-mixed-replace; boundary=frame')
|
|
|
+
|
|
|
+
|
|
|
+if __name__ == '__main__':
|
|
|
+ app.run(host='0.0.0.0', debug=True, port=5000)
|
