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best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:09289b1ccee1f7abd8e716976130685ef9ec8f2628a3518e364c0e3646616208
+size 6190122

mask_test.py

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+# mask_test.py
+import cv2
+from ultralytics import YOLO
+
+# 1. Model Load Karein
+# Training ke baad aapki best file yahan hoti hai: runs/detect/train/weights/best.pt
+# Agar aapki training 'train6' thi, toh path hoga: 'runs/detect/train6/weights/best.pt'
+model_path = r'best.pt'
+
+try:
+    model = YOLO(model_path)
+    print("Model successfully load ho gaya!")
+except:
+    print("Error: 'best.pt' nahi mili. Path check karein.")
+    exit()
+
+# 2. Camera On Karein
+cap = cv2.pycam = cv2.VideoCapture(0)
+
+print("Camera start ho raha hai... Band karne ke liye 'q' dabayein.")
+
+while cap.isOpened():
+    success, frame = cap.read()
+    if not success:
+        break
+
+    # 3. Mask Detection (Model Prediction)
+    results = model(frame, conf=0.5) # 0.5 matlab 50% sure hoga toh dikhayega
+
+    # 4. Results dikhayein
+    annotated_frame = results[0].plot()
+
+    cv2.imshow("Face Mask Detection Test", annotated_frame)
+
+    # 'q' dabane se window band ho jayegi
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+cap.release()
+cv2.destroyAllWindows()

requirements.txt

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+ultralytics
+gradio
+opencv-python-headless