fortran_ground_truth_binary_mask = np.asfortranarray(ground_truth_binary_mask) encoded_ground_truth = mask.encode(fortran_ground_truth_binary_mask) ground_truth_area = mask.area(encoded_ground_truth) ground_truth_bounding_box = mask.toBbox(encoded_ground_truth) contours = measure.find_contours...
Usingcv2.findContoursworks both for complex shapes and multiple objects.Polygonslist containscoordslists each looking like this [x1, y1, x2, y2, x3, y3, ...]. contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE) polygons = []forobjincontours: coords = []forpoi...
Can not make binary mask from self-intersected polygon. import numpy as np from PIL import Image, ImageDraw def show(img,full=False): if full: display(Image.fromarray(np.uint8(img))) else: img = resize(img,300) display(img) def polygons_to_mask(poly,shape): def points_...
Polygon-based compensation of proximity and density effects in photomask processes In recent years, mask critical dimension (CD) linearity and uniformity has become increasingly important. The ITRS roadmap shows the mask CD control requir... K Miranda,CO Rodrigues,J Hentchel,... - International ...
def binary_mask(tile_poly: Polygon, wkt_mp: MultiPolygon) -> npt.NDArray[np.int_]: min_x, min_y, max_x, max_y = tuple(map(int, tile_poly.bounds)) mask = np.zeros((max_x - min_x, max_y - min_y)) for x in range(min_x, max_x): for y in range(min_y, max_y):...