updated to use jpeg decoding

Server/WebsocketServer/main.py

@@ -2,6 +2,7 @@ import websockets
 import asyncio
 import numpy as np
 from ultralytics import YOLO
+import time
 import cv2
 
 classNames = ["person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck", "boat",
@@ -28,6 +29,7 @@ async def handle_connection(websocket, path):
 
             # frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
             frame = cv2.cvtColor(nparr, cv2.COLOR_BGR2RGB)
+            cv2.imshow("from_remote", frame)
 
             # Perform object detection
             results = model.track(frame, persist=True)
@@ -73,6 +75,8 @@ async def handle_connection(websocket, path):
 
             ret = lines.encode('utf-8')
 
+            cv2.waitKey(80)
+
             await websocket.send(ret)
 
     except websockets.exceptions.ConnectionClosed:

joystick-controller-client

@@ -1 +1 @@
-Subproject commit 66acd4698fcc997099ebc1ddc6f8e5ddd0e3579c
+Subproject commit a3d8a6fd064c0a194dc0815e7f19c900937921d9