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import cv2
import numpy as np
from scipy import interpolate
def intersection(x, p1, p2):
x1, y1 = p1
x2, y2 = p2
if x2 == x1:
return 0
k = (x - x1) / (x2 - x1)
return k * (y2 - y1) + y1
def midpoint(p1, p2, typed=float):
return [typed((p1[0] + p2[0]) / 2), typed((p1[1] + p2[1]) / 2)]
def resize_with_coordinates(image, width, height, coordinates):
original_height, original_width = image.shape[:2]
resized_image = cv2.resize(image, (width, height))
if coordinates is not None:
assert coordinates.ndim == 2
assert coordinates.shape[-1] == 2
rate_x = width / original_width
rate_y = height / original_height
coordinates = coordinates * (rate_x, rate_y)
return resized_image, coordinates
def box2seg(image, boxes, label):
height, width = image.shape[:2]
mask = np.zeros((height, width), dtype=np.float32)
seg = np.zeros((height, width), dtype=np.float32)
points = []
for box_index in range(boxes.shape[0]):
box = boxes[box_index, :, :] # 4x2
left_top = box[0]
right_top = box[1]
right_bottom = box[2]
left_bottom = box[3]
left = [(left_top[0] + left_bottom[0]) / 2, (left_top[1] + left_bottom[1]) / 2]
right = [(right_top[0] + right_bottom[0]) / 2, (right_top[1] + right_bottom[1]) / 2]
center = midpoint(left, right)
points.append(midpoint(left, center))
points.append(midpoint(right, center))
poly = np.array([midpoint(left_top, center),
midpoint(right_top, center),
midpoint(right_bottom, center),
midpoint(left_bottom, center)
])
seg = cv2.fillPoly(seg, [poly.reshape(4, 1, 2).astype(np.int32)], int(label[box_index]))
left_y = intersection(0, points[0], points[1])
right_y = intersection(width, points[-1], points[-2])
points.insert(0, [0, left_y])
points.append([width, right_y])
points = np.array(points)
f = interpolate.interp1d(points[:, 0], points[:, 1], fill_value='extrapolate')
xnew = np.arange(0, width, 1)
ynew = f(xnew).clip(0, height-1)
for x in range(width - 1):
mask[int(ynew[x]), x] = 1
return ynew.reshape(1, -1).round(), seg
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