clean coder

app.py

@@ -31,9 +31,7 @@ hourglass_args = {
 }
 
 def generate_mask(image, generator: SamAutomaticMaskGenerator):
-    start = time.perf_counter()
     generator.predictor.set_image(image)
-    eta1 = time.perf_counter() - start
 
     image_size = image.shape[:2]
     points_scale = np.array(image_size)[None, ::-1]
@@ -42,14 +40,12 @@ def generate_mask(image, generator: SamAutomaticMaskGenerator):
         transformed_points = generator.predictor.transform.apply_coords(points, image_size)
         in_points = torch.as_tensor(transformed_points, device=generator.predictor.device)
         in_labels = torch.ones(in_points.shape[0], dtype=torch.int, device=in_points.device)
-        start = time.perf_counter()
         masks, iou_preds, _ = generator.predictor.predict_torch(
             in_points[:, None, :],
             in_labels[:, None],
             multimask_output=True,
             return_logits=True,
         )
-        eta2 = time.perf_counter() - start
 
         # Serialize predictions and store in MaskData
         data = MaskData(