Update webapp.py

webapp.py

@@ -281,13 +281,11 @@ class DemoCase:
             if self._is_running:
                 if self.stream0 is None:
                     # Start the stream, set desired resolution to be 720p
-                    # options = {"STREAM_RESOLUTION": self.STREAM_RESOLUTION}                    
                     self.stream0 = CamGear(
                         source=self.url_dict[self.cam_loc],
                         colorspace=None,
                         stream_mode=True,
                         logging=True,
-                        # **options
                     ).start()
 
                 try:
@@ -298,6 +296,8 @@ class DemoCase:
                             frame = (np.random.standard_normal([
                                 self.FRAME_HEIGHT, self.FRAME_WIDTH, 3
                             ]) * 255).astype(np.uint8)
+                        elif frame.shape != (self.FRAME_HEIGHT, self.FRAME_WIDTH, 3):
+                            frame = cv2.resize(frame, (self.FRAME_HEIGHT, self.FRAME_WIDTH)) 
 
                         # do something with your OpenCV frame here
                         draw_text(
@@ -315,7 +315,7 @@ class DemoCase:
                         )
                         # reducer frame size for performance, percentage int
                         frame = await reducer(
-                            frame, percentage=self.frame_reduction*frame.shape[0]/720
+                            frame, percentage=self.frame_reduction
                         )
                         # handle JPEG encoding & yield frame in byte format
                         img_encoded = cv2.imencode(".jpg", frame)[1].tobytes()
@@ -387,14 +387,11 @@ class DemoCase:
             if self._is_running:
                 if self.stream1 is None:
                     # Start the stream, set desired quality as 720p
-                    # options = {"STREAM_RESOLUTION": self.STREAM_RESOLUTION}
                     self.stream1 = CamGear(
                         source=self.url_dict[self.cam_loc],
                         colorspace=None,
                         stream_mode=True,
-                        backend=cv2.CAP_GSTREAMER,
-                        logging=True,
-                        # **options
+                        logging=True
                     ).start()
 
                 if (self._is_tracking and self.stream1 is not None):
@@ -481,8 +478,9 @@ class DemoCase:
                             frame = (np.random.standard_normal([
                                 self.FRAME_HEIGHT, self.FRAME_WIDTH, 3
                             ]) * 255).astype(np.uint8)
-                            # break
-
+                        elif frame.shape != (self.FRAME_HEIGHT, self.FRAME_WIDTH, 3):
+                            frame = cv2.resize(frame, (self.FRAME_HEIGHT, self.FRAME_WIDTH)) 
+    
                         # do something with your OpenCV frame here
                         draw_text(
                             img=frame,
@@ -530,7 +528,7 @@ class DemoCase:
                         # reducer frames size for performance, int percentage
                         frame_tagged = await reducer(
                             frame=frame_tagged,
-                            percentage=self.frame_reduction * (frame_tagged.shape[0] / 720) # noqa
+                            percentage=self.frame_reduction
                         )
 
                         # handle JPEG encoding & yield frame in byte format
@@ -1228,10 +1226,6 @@ logging.info(f"obj_class_id: {demo_case.obj_class_id}")
 # setup webgear server
 options = {
     "custom_data_location": "./",
-    "enable_infinite_frames": True,
-    # "jpeg_compression_quality": 90,
-    # "jpeg_compression_fastdct": True,
-    # "jpeg_compression_fastupsample": True,
 }
 
 web = WebGear(