add requirements

app.py

@@ -156,13 +156,14 @@ def generate(
     boxes = outputs["boxes"]
     scores = outputs["scores"]
     if len(scores) > 0:
-        box = boxes[scores.argmax()]
+        box = boxes[scores.argmax()]/224
     print(f"{box}")
 
     if idx == 1:
-        open_cv_image = np.array(image)
+        open_cv_image = np.array(image_ori)
         # Convert RGB to BGR
         open_cv_image = open_cv_image[:, :, ::-1].copy()
+        box = box*[width,height,width,height]
         # for box in boxes:
         open_cv_image = cv2.rectangle(open_cv_image, box[:2].astype(int), box[2:].astype(int), (255, 0, 0), 2)
         out_image = Image.fromarray(cv2.cvtColor(open_cv_image, cv2.COLOR_BGR2RGB))