Server Push 0.3

camera_stream.py

@@ -21,7 +21,7 @@ PASSWORD = os.getenv("password")
 
 # Dynamically find all camera_ip_N variables in environment
 CAMERA_IPS = []
-for i in range(1, 11):  # Supports up to 10 cameras
+for i in range(1, 101):  # Supports up to 100 cameras
     ip = os.getenv(f"camera_ip_{i}")
     if ip and ip.strip():
         CAMERA_IPS.append(ip.strip())
@@ -223,13 +223,31 @@ def _update_grid_frame():
             time.sleep(0.1); continue
 
         n = len(frames)
-        if n == 1: grid = frames[0]
+        if n == 0:
-        elif n == 2: grid = np.hstack(frames)
+            time.sleep(0.1); continue
-        else:
+            
-            row1 = np.hstack(frames[:2])
+        # Calculate grid dimensions (rows/cols)
-            if n == 3: row2 = np.hstack([frames[2], np.zeros_like(frames[0])])
+        cols = int(np.ceil(np.sqrt(n)))
-            else: row2 = np.hstack(frames[2:4])
+        rows = int(np.ceil(n / cols))
-            grid = np.vstack([row1, row2])
+        
+        # Determine cell size
+        # Use 320x240 for large grids to prevent the output frame from being too massive
+        cell_w, cell_h = 320, 240
+        if n <= 1: cell_w, cell_h = 640, 480
+        elif n <= 4: cell_w, cell_h = 480, 360
+
+        grid_rows = []
+        for r in range(rows):
+            row_items = []
+            for c in range(cols):
+                idx = r * cols + c
+                if idx < n:
+                    row_items.append(cv2.resize(frames[idx], (cell_w, cell_h)))
+                else:
+                    row_items.append(np.zeros((cell_h, cell_w, 3), dtype=np.uint8))
+            grid_rows.append(np.hstack(row_items))
+        
+        grid = np.vstack(grid_rows)
 
         with lock:
             state["grid_frame"] = grid