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187 | class FeatureExtractor:
"""
Extracts geometric and spatial characteristics from raw annotation data.
This class processes bounding box coordinates to calculate technical
metrics such as relative area, aspect ratio, and spatial positioning.
It identifies which part of the image an object occupies and detects
if an object is cut off (truncated) at the image boundaries.
"""
@staticmethod
def extract_features(filepath: Union[Path, str], data: dict, margin_threshold: int = 5) -> List[Dict[str, Any]]:
"""
Calculates geometric and spatial features for all objects in an image.
The method divides the image into sectors based on the center point
to determine object orientation (e.g., top-left, center, bottom-side).
Args:
filepath (Union[Path, str]): Path to the annotation file, used as a unique ID.
data (dict): Dictionary containing image dimensions and object bounding boxes.
margin_threshold (int): Distance in pixels from the edge to consider
an object as 'truncated'. Defaults to 5.
Returns:
List[Dict[str, Any]]: A list of dictionaries, where each dictionary
contains features for a single object. Returns an empty list
if image dimensions are invalid (<= 0).
"""
if not isinstance(filepath, str):
filepath = str(filepath)
try:
has_neighbors = 1
image_data = data.get(XMLNames.size, {})
im_width = int(image_data.get(XMLNames.width, 0))
im_height = int(image_data.get(XMLNames.height, 0))
if any([im_width <= 0, im_height <= 0]):
return []
im_depth = int(image_data.get(XMLNames.depth, 0))
im_area = im_width * im_height
img_center_x = im_width / 2
img_center_y = im_height / 2
annotated_objects = data.get(XMLNames.object, [])
if isinstance(annotated_objects, dict):
annotated_objects = [annotated_objects]
has_neighbors = 0
result = []
objects_count = len(annotated_objects)
for obj in annotated_objects:
bbox = obj.get(XMLNames.bndbox)
xmax = int(bbox.get(XMLNames.xmax, 0))
ymax = int(bbox.get(XMLNames.ymax, 0))
xmin = int(bbox.get(XMLNames.xmin, 0))
ymin = int(bbox.get(XMLNames.ymin, 0))
width = xmax - xmin
height = ymax - ymin
area = width * height
relative_area = area / im_area
# # if bbox corners in all four image quarters
# in_center = 1 if all([
# xmin <= img_center_x <= xmax,
# ymin <= img_center_y <= ymax
# ]) else 0
# # if object on im_center_y coord but has right offset
# in_right_side = 1 if all([
# ymin < img_center_y < ymax,
# xmin > img_center_x
# ]) else 0
# # if object on im_center_y coord but has left offset
# in_left_side = 1 if all([
# ymin < img_center_y < ymax,
# xmax < img_center_x
# ]) else 0
# # if object on im_center_x coord but has top offset
# in_top_side = 1 if all([
# xmin < img_center_x < xmax,
# ymax < img_center_y
# ]) else 0
# # if object on im_center_x coord but has bottom offset
# in_bottom_side = 1 if all([
# xmin < img_center_x < xmax,
# ymin > img_center_y
# ]) else 0
# # object absolutely in top left quarter
# in_left_top = 1 if all([
# xmax < img_center_x,
# ymax < img_center_y
# ]) else 0
# # object absolutely in top right quarter
# in_right_top = 1 if all([
# xmin > img_center_x,
# ymax > img_center_y
# ]) else 0
# # object absolutely in left bottom quarter
# in_left_bottom = 1 if all([
# xmax < img_center_x,
# ymin > img_center_y
# ]) else 0
# # object absolutely in right bottom quarter
# in_right_bottom = 1 if all([
# xmin > img_center_x,
# ymin > img_center_y
# ]) else 0
object_center_x = (xmin + xmax) / 2
object_center_y = (ymin + ymax) / 2
bin_w = im_width / 3
bin_h = im_height / 3
col_idx = int(object_center_x // bin_w)
row_idx = int(object_center_y // bin_h)
col_idx = min(col_idx, 2)
row_idx = min(row_idx, 2)
in_left_top = 1 if (row_idx == 0 and col_idx == 0) else 0
in_top_side = 1 if (row_idx == 0 and col_idx == 1) else 0
in_right_top = 1 if (row_idx == 0 and col_idx == 2) else 0
in_left_side = 1 if (row_idx == 1 and col_idx == 0) else 0
in_center = 1 if (row_idx == 1 and col_idx == 1) else 0
in_right_side = 1 if (row_idx == 1 and col_idx == 2) else 0
in_left_bottom = 1 if (row_idx == 2 and col_idx == 0) else 0
in_bottom_side = 1 if (row_idx == 2 and col_idx == 1) else 0
in_right_bottom = 1 if (row_idx == 2 and col_idx == 2) else 0
truncated_left = 1 if xmin < margin_threshold else 0
truncated_right = 1 if xmax > (im_width - margin_threshold) else 0
truncated_top = 1 if ymin < margin_threshold else 0
truncated_bottom = 1 if ymax > (im_height - margin_threshold) else 0
full_size = 1 if all([
truncated_left,
truncated_right,
truncated_top,
truncated_bottom]) else 0
object_data = {
ImageStatsKeys.path: filepath,
ImageStatsKeys.class_name: obj.get(XMLNames.name, "unfilled"),
ImageStatsKeys.objects_count: objects_count,
ImageStatsKeys.im_width: im_width,
ImageStatsKeys.im_height: im_height,
ImageStatsKeys.im_depth: im_depth,
ImageStatsKeys.has_neighbors: has_neighbors,
ImageStatsKeys.object_width: width,
ImageStatsKeys.object_height: height,
ImageStatsKeys.object_aspect_ratio: width / height if height > 0 else 0,
ImageStatsKeys.object_area: area,
ImageStatsKeys.object_relative_area: relative_area,
ImageStatsKeys.object_in_center: in_center,
ImageStatsKeys.object_in_right_side: in_right_side,
ImageStatsKeys.object_in_left_side: in_left_side,
ImageStatsKeys.object_in_top_side: in_top_side,
ImageStatsKeys.object_in_bottom_side: in_bottom_side,
ImageStatsKeys.object_in_left_top: in_left_top,
ImageStatsKeys.object_in_right_top: in_right_top,
ImageStatsKeys.object_in_left_bottom: in_left_bottom,
ImageStatsKeys.object_in_right_bottom: in_right_bottom,
ImageStatsKeys.full_size: full_size,
ImageStatsKeys.truncated_left: truncated_left,
ImageStatsKeys.truncated_right: truncated_right,
ImageStatsKeys.truncated_top: truncated_top,
ImageStatsKeys.truncated_bottom: truncated_bottom
}
result.append(object_data)
except ZeroDivisionError:
return []
return result
|