chore: initialize git repository and add standard hook templates

app.py

@@ -177,13 +177,10 @@ def draw_patches_on_image(image_arr, positions, x_offset, y_offset, h, w):
     orig_pil = Image.fromarray(img)
     draw = ImageDraw.Draw(temp_img)
     
-    orig_w, orig_h = orig_pil.size
-    ratio = min(TARGET_CANVAS_SIZE / orig_w, TARGET_CANVAS_SIZE / orig_h)
-    
     for i, (px, py) in enumerate(positions):
-        orig_y = (py - y_offset) / ratio
-        orig_x = (px - x_offset) / ratio
-        orig_px_size = PATCH_SIZE / ratio
+        orig_y = py - y_offset
+        orig_x = px - x_offset
+        orig_px_size = PATCH_SIZE
         
         box = (int(orig_y), int(orig_x), int(orig_y + orig_px_size), int(orig_x + orig_px_size))
         
@@ -284,14 +281,14 @@ def process_click_inference(x_orig, y_orig, original_image, state):
     state['inference_params'] = transfer_inference_params(state['inference_params'], device)
     
     orig_h, orig_w = state['original_image'].shape[:2]
-    ratio = min(TARGET_CANVAS_SIZE / orig_w, TARGET_CANVAS_SIZE / orig_h)
+    canvas_size = max(orig_h, orig_w)
     
-    canvas_y = int(x_orig * ratio) + state['y_offset']
-    canvas_x = int(y_orig * ratio) + state['x_offset']
+    canvas_y = int(x_orig) + state['y_offset']
+    canvas_x = int(y_orig) + state['x_offset']
     
     # 1px flexible precision anchoring the patch directly onto the exact center click
-    px = max(0, min(int(canvas_x - PATCH_SIZE / 2), TARGET_CANVAS_SIZE - PATCH_SIZE))
-    py = max(0, min(int(canvas_y - PATCH_SIZE / 2), TARGET_CANVAS_SIZE - PATCH_SIZE))
+    px = max(0, min(int(canvas_x - PATCH_SIZE / 2), canvas_size - PATCH_SIZE))
+    py = max(0, min(int(canvas_y - PATCH_SIZE / 2), canvas_size - PATCH_SIZE))
     
     cur_loc = state['cur_location'].to(device) if state['cur_location'] is not None else None
     loc_tensor = torch.tensor([[px, py]], dtype=torch.long, device=device)