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.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+results.png filter=lfs diff=lfs merge=lfs -text
+Screenshot[[:space:]]2025-12-21[[:space:]]194853.png filter=lfs diff=lfs merge=lfs -text
+Screenshot[[:space:]]2025-12-21[[:space:]]194957.png filter=lfs diff=lfs merge=lfs -text

best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09289b1ccee1f7abd8e716976130685ef9ec8f2628a3518e364c0e3646616208
+size 6190122

data.yaml

@@ -0,0 +1,13 @@
+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 3
+names: ['mask_weared_incorrect', 'with_mask', 'without_mask']
+
+roboflow:
+  workspace: saad-n
+  project: face-mask-y1vsd-mq8qr
+  version: 1
+  license: CC BY 4.0
+  url: https://universe.roboflow.com/saad-n/face-mask-y1vsd-mq8qr/dataset/1

mask_test.py

@@ -0,0 +1,22 @@
+import cv2
+from ultralytics import YOLO
+
+model = YOLO("best.pt")
+
+cap = cv2.VideoCapture(0)
+
+while True:
+    ret, frame = cap.read()
+    if not ret:
+        break
+    
+    results = model(frame)
+    
+    annotated_frame = results[0].plot()
+    
+    cv2.imshow("Detection", annotated_frame)    
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+cap.release()
+cv2.destroyAllWindows()