main

app.py

@@ -0,0 +1,26 @@
+import cv2 
+from ultralytics import YOLO
+import supervision as sv
+import gradio as gr
+
+
+model = YOLO("best.pt")
+bbox_anno = sv.BoundingBoxAnnotator(thickness=2)
+
+
+def model_detection(img):
+    result = model(img)
+    detection = sv.Detections.from_ultralytics(result[0])
+    frame = bbox_anno.annotate(detections=detection,scene=img)
+    return frame
+    
+
+
+
+
+if __name__ =="__main__":
+    
+    
+    web= gr.Interface(model_detection,gr.Image(),outputs="image")
+    web.launch(share=True)
+    # main()

best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2466cc6334f7d1b70fa33e46a8d1ce405cd9ed99fb97ebd9bd95ba718e30d894
+size 22554137