Update app.py

app.py

@@ -14,12 +14,17 @@ model.agnostic = False
 model.multi_label = False
 model.max_det = 100  # max number of detections
 
-# Low-resolution for inference
-LOW_RES = (500, 600)
+# Low-resolution for inference 
+#Keswick cam frame_count += 3
+#LOW_RES = (500, 600) 
 
 #Faster inference but less accurate 
 #LOW_RES = (320, 180) 
 
+#Fastest inference but low accuracy, change the frame_count += 2
+LOW_RES = (300, 300)
+
+
 def detect_and_draw(frame):
     # Create low-res copy
     low_res_frame = cv2.resize(frame, LOW_RES)
@@ -42,7 +47,11 @@ def detect_and_draw(frame):
     return frame
 
 # Define your stream URL
-stream_url =  "https://view.h264.cam/ref/kta/live.primary.m3u8"
+
+stream_url =  "https://2-fss-2.streamhoster.com/pl_126/200612-2266250-1/chunklist.m3u8"
+
+#keswick
+#stream_url =  "https://view.h264.cam/ref/kta/live.primary.m3u8"
 
 #stream_url =  "https://edge01.london.nginx.hdontap.com/hosb1/julian-coc.stream/chunklist_w1106429103.m3u8"
 #stream_url = "https://edge01.london.nginx.hdontap.com/hosb5/ng_showcase-coke_bottle-street_fixed.stream/chunklist_w464099566.m3u8"
@@ -55,7 +64,7 @@ def process_stream():
         if not ret:
             break
 
-        frame_count += 3
+        frame_count += 2 #change to 3 for higher res
         if frame_count % 30 == 0:
             result = detect_and_draw(frame)
             result_rgb = cv2.cvtColor(result, cv2.COLOR_BGR2RGB)