update

app.py

@@ -1,3 +1,30 @@
 import gradio as gr
+from transformers import DetrImageProcessor, DetrForObjectDetection
+import torch
+import supervision as sv
+
+def anylize(img):
+    id2label = {k: v['name'] for k,v in categories.items()}
+    box_annotator = sv.BoxAnnotator()
+    image = img
+
+    with torch.no_grad():
+
+        # load image and predict
+        inputs = image_processor(images=image, return_tensors='pt')
+        outputs = model(**inputs)
+    
+        # post-process
+        target_sizes = torch.tensor([image.shape[:2]])
+        results = image_processor.post_process_object_detection(
+            outputs=outputs, 
+            threshold=0.8, 
+            target_sizes=target_sizes
+        )[0]
+
+    # annotate
+    detections = sv.Detections.from_transformers(transformers_results=results).with_nms(threshold=0.5)
+    labels = [f"{id2label[class_id]} {confidence:.2f}" for _, confidence, class_id, _ in detections]
+    frame = box_annotator.annotate(scene=image.copy(), detections=detections, labels=labels)
 
 gr.Interface.load("models/Guy2/AirportSec-100epoch").launch()