.

client/main.py

@@ -12,11 +12,11 @@ playing = False
 def index():
     global playing, p, w
     if playing:
-        return 406
+        return str(406)
     else:
         playing = True
         p = w.play()
-        return 200
+        return str(200)
 
 @app.route('/stop')
 def test():
@@ -24,9 +24,9 @@ def test():
     if playing:
         playing = False
         p.stop()
-        return 200
+        return str(200)
     else:
-        return 406
+        return str(406)
 
 
 port = int(os.environ.get('PORT', 81))

server/app.py

@@ -15,7 +15,7 @@ application = Flask(__name__)
 
 clients = []
 cams = []
-lastImages = list(range(0,4))
+lastImages = list(range(0,10))
 with open("./clients.json", 'r', encoding='utf-8') as f:
     clients = json.loads(f.read())
 
@@ -55,12 +55,13 @@ def gen_processed(num):
 
 def main():
     detector = dt.Detector()
-    t = 1  # seconds a person can leave the room for
+    t = 5  # seconds a person can leave the room for
     t0 = time.time()   
     elapsed = 0
 
     while True:
-        for cam in cams:
+        cam = cams[2]
+
             
         stream = cam["ip"]
         
@@ -71,9 +72,8 @@ def main():
         if elapsed > t and clientStatus:
             try:    
                 r = requests.get(clientIp + "/stop")
-                    if r.status_code == 200:
+                #if r.status_code == 200:
                 clients[cam["client_id"]]["status"] = False
-                        cam["status"] = False
             except:
                 print("request error")
 
@@ -82,18 +82,22 @@ def main():
             img, result = detector.detect(stream) 
         except:
             continue
-            print(cam["client_id"], result, time.time()-tmp)
+
+        print(cam["id"], result, time.time()-tmp)
         lastImages[cam["id"]] = img
 
-            if result and not clientStatus:
+        if result:
+            cam["status"] = True
+            if not clientStatus:
                 try:      
                     r = requests.get(clientIp + "/play")
                     if r.status_code == 200:
                         clients[cam["client_id"]]["status"] = True
-                        cam["status"] = True
                         t0 = time.time()
                 except:
                     print("request error")
+        else:
+            cam["status"] = False
 
 
 #########           ###########

server/cams.json

@@ -13,20 +13,30 @@
     "id": 1,
     "label": "cam2",
     "ip": "http://89.29.108.38:80/mjpg/video.mjpg",
-    "client_id": 1,
+    "client_id": 2,
     "status": false,
     "x":0.4,
     "y":0.2,
     "angle": 190
   },
   {
-    "id": 2,
-    "label": "cam3",
-    "ip": "http://89.29.108.38:80/mjpg/video.mjpg",
+    "id": 3,
+    "label": "cam4",
+    "ip": "http://82.150.206.177/cgi-bin/faststream.jpg?stream=half&fps=15&rand=COUNTER",
+    "client_id": 1,
+    "status": false,
+    "x":0.75,
+    "y":0.4,
+    "angle": 100
+  },
+  {
+    "id": 4,
+    "label": "cam5",
+    "ip": "http://79.189.131.176:99/videostream.cgi?user=admin&pwd=",
     "client_id": 2,
     "status": false,
-    "x":0.9,
-    "y":0.1,
-    "angle": 270
+    "x":0.8,
+    "y":0.8,
+    "angle": 90
   }
 ]

server/detector.py

@@ -62,7 +62,7 @@ class Detector:
     def __init__(self):
         self.model_path = "./model.pb"
         self.odapi = DetectorAPI(path_to_ckpt=self.model_path)
-        self.threshold = 0.7       
+        self.threshold = 0.6       
 
     def detect(self, stream):
         cap = cv2.VideoCapture(stream)
@@ -70,7 +70,13 @@ class Detector:
         r, img = cap.read()
         if img is None:
             return img
-        img = cv2.resize(img, (1000, 543))
+
+        scale_percent = 60 # percent of original size
+        width = int(img.shape[1] * scale_percent / 100)
+        height = int(img.shape[0] * scale_percent / 100)
+        dim = (width, height)
+
+        img = cv2.resize(img, dim)
 
         boxes, scores, classes, num = self.odapi.process_frame(img)
         res = False
@@ -81,10 +87,13 @@ class Detector:
                     box = boxes[i]
                     cv2.rectangle(img, (box[1], box[0]), (box[3], box[2]), (255, 0, 0), 2)
                     res = True
+                    return img, res
                 else:
                     res = False
                     return img, res
 
+        
+            
     #def __del__(self):
 
         #self.cap.release()