Upload ExampleUsage.py

files/ExampleUsage.py

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+import bettercam
+import pathlib
+import torch
+import time
+import cv2
+import mss
+import os
+
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+current_path = os.path.dirname(os.path.abspath(__file__))
+model_path = None
+for file in os.listdir(current_path):
+    if file.endswith(".pt"):
+        model_path = os.path.join(current_path, file)
+        break
+if model_path is None:
+    print("No model found. Place it in the same folder as this script.")
+    exit()
+model = torch.hub.load('ultralytics/yolov5', 'custom', path=model_path, force_reload=True)
+
+sct = mss.mss()
+monitor = sct.monitors[1]
+screen_x = monitor["left"]
+screen_y = monitor["top"]
+screen_width = monitor["width"]
+screen_height = monitor["height"]
+
+camera = bettercam.create(output_color="RGB", output_idx=0)
+
+cv2.namedWindow('YOLOv5 Detection', cv2.WINDOW_NORMAL)
+cv2.resizeWindow('YOLOv5 Detection', 960, 540)
+cv2.setWindowProperty('YOLOv5 Detection', cv2.WND_PROP_TOPMOST, 1)
+
+while True:
+    start_time = time.time()
+    frame = camera.grab(region=(screen_x, screen_y, screen_x + screen_width, screen_y + screen_height))
+    if frame is None: continue
+    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)  
+
+    results = model(rgb_frame)
+
+    boxes = results.pandas().xyxy[0]
+
+    for _, box in boxes.iterrows():
+        label = box['name']
+        score = box['confidence']
+        x, y, w, h = int(box['xmin']), int(box['ymin']), int(box['xmax'] - box['xmin']), int(box['ymax'] - box['ymin'])
+        
+        if label in ['map']:
+            cv2.rectangle(rgb_frame, (x, y), (x + w, y + h), (0, 255, 255), 3)
+            cv2.putText(rgb_frame, f"{score:.2f}", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 255), 2, cv2.LINE_AA)
+        if label in ['arrow']:
+            cv2.rectangle(rgb_frame, (x, y), (x + w, y + h), (255, 0, 0), 3)
+            cv2.putText(rgb_frame, f"{score:.2f}", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255, 0, 0), 2, cv2.LINE_AA)
+
+    fps = round(1 / (time.time() - start_time), 1)
+    cv2.putText(rgb_frame, f"FPS: {fps}", (20, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2, cv2.LINE_AA)         
+    cv2.imshow('YOLOv5 Detection', rgb_frame)
+    cv2.resizeWindow('YOLOv5 Detection', 854, 480)
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+cv2.destroyAllWindows()