ASL app

app.py

@@ -13,18 +13,20 @@ def show_preds_image(image_path):
     image = cv2.imread(image_path)
     outputs = model.predict(source=image_path)
     results = outputs[0].cpu().numpy()
-    for i, det in enumerate(results.boxes.xyxy):
-        cls = TargetMapper[results.boxes.cls[0]]
-        #print(cls)
-        cv2.rectangle(
-            image,
-            (int(det[0]), int(det[1])),
-            (int(det[2]), int(det[3])),
-            color=(0, 0, 255),
-            thickness=2,
-            lineType=cv2.LINE_AA
-        )
-        cv2.putText(image, cls, (int(det[0]), int(det[1])-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (36,255,12), 2)
+    #for i, det in enumerate(results.boxes.xyxy):
+    cls = TargetMapper[results.boxes.cls[0]]
+    det = results.boxes.xyxy[0]
+    #print(det)
+    #print(cls)
+    cv2.rectangle(
+        image,
+        (int(det[0]), int(det[1])),
+        (int(det[2]), int(det[3])),
+        color=(0, 0, 255),
+        thickness=2,
+        lineType=cv2.LINE_AA
+    )
+    cv2.putText(image, cls, (int(det[0]), int(det[1])-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (36,255,12), 2)
 
     return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
 
@@ -42,4 +44,4 @@ gr.Interface(
     title="Arab Sign Language Detection app",
     examples=path,
     cache_examples=False,
-).launch(share=True)
+).launch()