logs

app.py

@@ -4,10 +4,25 @@ import time
 import requests
 import supervision as sv
 
+from datetime import datetime
 from ultralytics import YOLO
 from flask import Flask,request,Response
 from multiprocessing import Process, Event
 
+import torch
+
+device_count = 0
+
+if torch.cuda.is_available():
+    device_count = torch.cuda.device_count()
+    print("GPU is available.")
+    print("GPU device count:", torch.cuda.device_count())
+    print("GPU device Current:", torch.cuda.current_device())
+    print("GPU device name:", torch.cuda.get_device_name(torch.cuda.current_device()))
+else:
+    print("GPU is not available.")
+
+
 app = Flask(__name__)
 
 workers = {}
@@ -39,7 +54,15 @@ def stop(id):
 
 @app.route('/show',methods=['POST'])
 def show():
-    print(request.data)
+    # print(request.json)
+    data = request.json["content"]
+    balls = data["balls"]
+    table = data["table"]
+    text = f"table:{table:>3} "
+    for i in range(16):
+        ball = "#" if "ball"+str(i) in balls else " "
+        text += f"| {i} : {ball} "
+    print(datetime.now().strftime('%Y-%m-%d %H:%M:%S'),text)
     return 'ok'
 
 def worker(id,source,region=None,stream=False):
@@ -60,7 +83,7 @@ def worker(id,source,region=None,stream=False):
             if not ret:
                 print("Error read video stream.")
                 break
-            result = model.track(frame,show=False,stream=False,persist=True,device=int(id)%4)
+            result = model.track(frame,show=False,stream=False,persist=True,device=int(id)%device_count)
             result = result[0]
             detections = sv.Detections.from_yolov8(result)
             if result.boxes.id is not None: