adds anchor grid

This commit is contained in:
franksim
2025-11-06 15:14:11 +01:00
parent ef540f128e
commit 74da909b30
2 changed files with 47 additions and 3 deletions

View File

@@ -9,4 +9,24 @@ def get_anchor_grid(
anchor_widths: Sequence[float], anchor_widths: Sequence[float],
aspect_ratios: Sequence[float], aspect_ratios: Sequence[float],
) -> np.ndarray: ) -> np.ndarray:
raise NotImplementedError() anchor_grid = np.empty(
[len(width), len(ratio), num_rows, num_cols, 4], dtype=int)
for width_idx, width in enumerate(anchor_widths):
for ratio_idx, ratio in enumerate(aspect_ratios):
for row in range(num_rows):
for col in range(num_cols):
anchor_point = (
col * scale_factor + scale_factor/2, row * scale_factor + scale_factor / 2)
anchor_grid[width_idx, ratio_idx, row, col] = get_box(
width, ratio, anchor_point)
return anchor_grid
def get_box(width: float, ratio: float, anchor_point: tuple[float, float]) -> np.ndarray:
box = np.empty(4)
box[0] = anchor_point[0] - (width / 2)
box[1] = anchor_point[1] - (width * ratio / 2)
box[2] = anchor_point[0] + (width / 2)
box[3] = anchor_point[1] + (width * ratio / 2)
return box

View File

@@ -5,10 +5,34 @@ from ..a3.annotation import AnnotationRect
def iou(rect1: AnnotationRect, rect2: AnnotationRect) -> float: def iou(rect1: AnnotationRect, rect2: AnnotationRect) -> float:
raise NotImplementedError() x_left = max(rect1.x1, rect2.x1)
y_top = max(rect1.y1, rect2.y1)
x_right = min(rect1.x2, rect2.x2)
y_bottom = min(rect1.y2, rect2.y2)
# Returns 0 if no overlap
if x_right <= x_left or y_bottom <= y_top:
return 0.0
intersection_area = (x_right - x_left) * (y_bottom - y_top)
rect1_area = rect1.area()
rect2_area = rect2.area()
union_area = rect1_area + rect2_area - intersection_area
return intersection_area / union_area
def get_label_grid( def get_label_grid(
anchor_grid: np.ndarray, gts: Sequence[AnnotationRect], min_iou: float anchor_grid: np.ndarray, gts: Sequence[AnnotationRect], min_iou: float
) -> tuple[np.ndarray, ...]: ) -> tuple[np.ndarray, ...]:
raise NotImplementedError() label_grid = np.empty(anchor_grid.shape[:-1], dtype=bool)
for (width, ratio, row, col), item in np.ndenumerate(anchor_grid):
for gt in gts:
iou = iou(item, gt)
label_grid[width, ratio, row, col] = False
if (iou >= min_iou):
label_grid[width, ratio, row, col] = True
break
return label_grid