Update app.py (#2)

- Update app.py (5e57aecfad1d45f33c08aecba87a338e1f9ae566)


Co-authored-by: Moulon <[email protected]>

app.py

@@ -56,7 +56,7 @@ def process_image(image: PIL.Image.Image) -> tuple[PIL.Image.Image, list[dict]]:
     inputs = pose_image_processor(image, boxes=[person_boxes], return_tensors="pt").to(device)
 
     # for vitpose-plus-base checkpoint we should additionaly provide dataset_index
-    # to sepcify which MOE experts to use for inference
+    # to specify which MOE experts to use for inference
     if pose_model.config.backbone_config.num_experts > 1:
         dataset_index = torch.tensor([0] * len(inputs["pixel_values"]))
         dataset_index = dataset_index.to(inputs["pixel_values"].device)
@@ -99,10 +99,10 @@ def process_image(image: PIL.Image.Image) -> tuple[PIL.Image.Image, list[dict]]:
 
     annotated_frame = image.copy()
 
-    # annotate boundg boxes
+    # annotate bounding boxes
     annotated_frame = bounding_box_annotator.annotate(scene=image.copy(), detections=detections)
 
-    # annotate edges and verticies
+    # annotate edges and vertices
     annotated_frame = edge_annotator.annotate(scene=annotated_frame, key_points=keypoints)
     return vertex_annotator.annotate(scene=annotated_frame, key_points=keypoints), human_readable_results