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"""
File: face_utils.py
Author: Elena Ryumina and Dmitry Ryumin
Description: This module contains utility functions related to facial landmarks and image processing.
License: MIT License
"""
import numpy as np
import math
def norm_coordinates(normalized_x, normalized_y, image_width, image_height):
x_px = min(math.floor(normalized_x * image_width), image_width - 1)
y_px = min(math.floor(normalized_y * image_height), image_height - 1)
return x_px, y_px
def get_box(fl, w, h):
idx_to_coors = {}
for idx, landmark in enumerate(fl.landmark):
landmark_px = norm_coordinates(landmark.x, landmark.y, w, h)
if landmark_px:
idx_to_coors[idx] = landmark_px
x_min = np.min(np.asarray(list(idx_to_coors.values()))[:, 0])
y_min = np.min(np.asarray(list(idx_to_coors.values()))[:, 1])
endX = np.max(np.asarray(list(idx_to_coors.values()))[:, 0])
endY = np.max(np.asarray(list(idx_to_coors.values()))[:, 1])
(startX, startY) = (max(0, x_min), max(0, y_min))
(endX, endY) = (min(w - 1, endX), min(h - 1, endY))
return startX, startY, endX, endY
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