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app.py

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+from flask import Flask
+from multiprocessing import Process
+import re
+import os
+import time
+import sys
+import face_recognition_dlib_tensorflow as frdt
+
+app = Flask(__name__)
+
+@app.before_first_request
+def before_first_request():
+    flask_pid = os.popen("ps -ef |grep flask").readlines()
+    f = open("info.txt", 'a')
+    pid = re.findall("\d+",flask_pid[0])[0]
+    f.writelines(pid+"\n")
+    f.close()
+
+@app.route('/start')
+def start():
+    P = Process(target=frdt.main_process(),args=())
+    P.start()
+    return "<h1>摄像头已打开</h1>"
+
+@app.route('/finish')
+def finish():
+    with open("info.txt",'r') as f:
+        info_list = f.readlines()
+        flask_temp = 0
+        for i in range(len(info_list)):
+            temp = re.findall('\d+$', info_list[i])
+            if temp:
+                flask_temp = temp[0]
+        print(flask_temp)
+        pid_list = os.popen("ps -ef | grep flask").readlines()
+        print(pid_list)
+        for i in range(len(pid_list)):
+            pid_list[i] = pid_list[i].split()[1]
+            print(pid_list)
+            if str(pid_list[i]) != flask_temp and flask_temp != 0:
+                try:
+                    os.popen("kill -15 " + str(pid_list[i]))
+                except:
+                    os.popen("kill -9 " + str(pid_list[i]))
+                print("kill " + str(pid_list[i]) + "\n")
+    if os.path.exists("info.txt"):
+        os.remove("info.txt")
+    time.sleep(4)
+    sys.exit()
+
+    return "<h1>摄像头已关闭</h1>"