impoves code
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@@ -10,21 +10,20 @@ def get_anchor_grid(
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aspect_ratios: Sequence[float],
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aspect_ratios: Sequence[float],
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) -> np.ndarray:
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) -> np.ndarray:
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anchor_grid = np.empty(
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anchor_grid = np.empty(
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[len(width), len(ratio), num_rows, num_cols, 4], dtype=int)
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[len(anchor_widths), len(aspect_ratios), num_rows, num_cols, 4], dtype=float)
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for width_idx, width in enumerate(anchor_widths):
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for (width_idx, ratio_idx, row, col) in np.ndindex(anchor_grid.shape[:-1]):
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for ratio_idx, ratio in enumerate(aspect_ratios):
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anchor_point = (
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for row in range(num_rows):
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col * scale_factor + scale_factor / 2, row * scale_factor + scale_factor / 2)
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for col in range(num_cols):
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width = anchor_widths[width_idx]
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anchor_point = (
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ratio = aspect_ratios[ratio_idx]
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col * scale_factor + scale_factor/2, row * scale_factor + scale_factor / 2)
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anchor_grid[width_idx, ratio_idx, row, col] = get_box(
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anchor_grid[width_idx, ratio_idx, row, col] = get_box(
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width, ratio, anchor_point)
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width, ratio, anchor_point)
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return anchor_grid
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return anchor_grid
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def get_box(width: float, ratio: float, anchor_point: tuple[float, float]) -> np.ndarray:
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def get_box(width: float, ratio: float, anchor_point: tuple[float, float]) -> np.ndarray:
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box = np.empty(4)
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box = np.empty(4, dtype=float)
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box[0] = anchor_point[0] - (width / 2)
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box[0] = anchor_point[0] - (width / 2)
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box[1] = anchor_point[1] - (width * ratio / 2)
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box[1] = anchor_point[1] - (width * ratio / 2)
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box[2] = anchor_point[0] + (width / 2)
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box[2] = anchor_point[0] + (width / 2)
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@@ -10,11 +10,7 @@ def iou(rect1: AnnotationRect, rect2: AnnotationRect) -> float:
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x_right = min(rect1.x2, rect2.x2)
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x_right = min(rect1.x2, rect2.x2)
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y_bottom = min(rect1.y2, rect2.y2)
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y_bottom = min(rect1.y2, rect2.y2)
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# Returns 0 if no overlap
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intersection_area = max(x_right - x_left, 0) * max(y_bottom - y_top, 0)
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if x_right <= x_left or y_bottom <= y_top:
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return 0.0
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intersection_area = (x_right - x_left) * (y_bottom - y_top)
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rect1_area = rect1.area()
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rect1_area = rect1.area()
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rect2_area = rect2.area()
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rect2_area = rect2.area()
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