""" 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 import cv2 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 def display_info(img, text, margin=1.0, box_scale=1.0): img_copy = img.copy() img_h, img_w, _ = img_copy.shape line_width = int(min(img_h, img_w) * 0.001) thickness = max(int(line_width / 3), 1) font_face = cv2.FONT_HERSHEY_SIMPLEX font_color = (0, 0, 0) font_scale = thickness / 1.5 t_w, t_h = cv2.getTextSize(text, font_face, font_scale, None)[0] margin_n = int(t_h * margin) sub_img = img_copy[0 + margin_n: 0 + margin_n + t_h + int(2 * t_h * box_scale), img_w - t_w - margin_n - int(2 * t_h * box_scale): img_w - margin_n] white_rect = np.ones(sub_img.shape, dtype=np.uint8) * 255 img_copy[0 + margin_n: 0 + margin_n + t_h + int(2 * t_h * box_scale), img_w - t_w - margin_n - int(2 * t_h * box_scale):img_w - margin_n] = cv2.addWeighted(sub_img, 0.5, white_rect, .5, 1.0) cv2.putText(img=img_copy, text=text, org=(img_w - t_w - margin_n - int(2 * t_h * box_scale) // 2, 0 + margin_n + t_h + int(2 * t_h * box_scale) // 2), fontFace=font_face, fontScale=font_scale, color=font_color, thickness=thickness, lineType=cv2.LINE_AA, bottomLeftOrigin=False) return img_copy