add stats for drops

scripts/recv_raw_rolling.py

@@ -10,10 +10,19 @@
 import socket
 import numpy as np
 import cv2
+import time
+from collections import deque
 
 # Debug flag - set to True to see frame reception details
 DEBUG = False
 
+# Line drop detection parameters
+EXPECTED_FPS = 200  # Expected frame rate (from 200fps ini file)
+EXPECTED_INTERVAL_MS = 1000.0 / EXPECTED_FPS  # 5ms for 200fps
+DROP_THRESHOLD_MS = EXPECTED_INTERVAL_MS * 2.5  # Alert if gap > 2.5x expected (12.5ms)
+STATS_WINDOW_SIZE = 100  # Track stats over last N frames
+STATUS_INTERVAL = 100  # Print status every N frames
+
 # Rotation mode - set to rotate incoming data before display
 # Options: None, cv2.ROTATE_90_CLOCKWISE, cv2.ROTATE_90_COUNTERCLOCKWISE, cv2.ROTATE_180
 ROTATION = cv2.ROTATE_90_COUNTERCLOCKWISE  # Rotate rows to columns
@@ -46,7 +55,15 @@ rolling_buffer = np.zeros((DISPLAY_HEIGHT, DISPLAY_WIDTH, CHANNELS), dtype=np.ui
 current_column = 0
 frame_count = 0
 
+# Line drop detection state
+last_frame_time = None
+first_frame_time = None
+frame_intervals = deque(maxlen=STATS_WINDOW_SIZE)
+total_drops = 0
+drops_since_last_status = 0
+
 while True:
+    current_time = time.time()
     data, addr = sock.recvfrom(65536)
     
     if len(data) != FRAME_SIZE:
@@ -54,10 +71,38 @@ while True:
             print(f"Received {len(data)} bytes (expected {FRAME_SIZE}), skipping...")
         continue
     
-    if DEBUG:
-        frame_count += 1
-        if frame_count % 30 == 0:
-            print(f"Received {frame_count} frames, current column: {current_column}")
+    # Initialize timing on first frame
+    if first_frame_time is None:
+        first_frame_time = current_time
+    
+    # Line drop detection
+    if last_frame_time is not None:
+        interval_ms = (current_time - last_frame_time) * 1000
+        frame_intervals.append(interval_ms)
+        
+        # Detect line drop
+        if interval_ms > DROP_THRESHOLD_MS:
+            total_drops += 1
+            drops_since_last_status += 1
+    
+    last_frame_time = current_time
+    frame_count += 1
+    
+    # Print status every STATUS_INTERVAL frames
+    if frame_count % STATUS_INTERVAL == 0:
+        elapsed_time = current_time - first_frame_time
+        real_fps = frame_count / elapsed_time if elapsed_time > 0 else 0
+        avg_interval = np.mean(frame_intervals) if len(frame_intervals) > 0 else 0
+        instant_fps = 1000.0 / avg_interval if avg_interval > 0 else 0
+        
+        status = f"Frame {frame_count}: Real FPS: {real_fps:.1f} | Instant: {instant_fps:.1f}"
+        if drops_since_last_status > 0:
+            status += f" | ⚠️  {drops_since_last_status} drops detected"
+            drops_since_last_status = 0
+        else:
+            status += f" | Total drops: {total_drops}"
+        
+        print(status)
 
     # Parse the incoming data
     frame = np.frombuffer(data, dtype=np.uint8).reshape((COLUMN_WIDTH, COLUMN_HEIGHT, CHANNELS))
@@ -77,7 +122,7 @@ while True:
     # Move to the next column position, wrapping around when reaching the end
     current_column = (current_column + 1) % DISPLAY_WIDTH
 
-    # Display the rolling buffer
+    # Display the rolling buffer (clean, no overlays)
     cv2.imshow("Rolling Column Stream", rolling_buffer)
 
     if cv2.waitKey(1) == 27:  # ESC to quit