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| import cv2 | |
| import numpy as np | |
| import json | |
| from hivision.creator.rotation_adjust import rotate_bound | |
| import os | |
| base_path = os.path.dirname(os.path.abspath(__file__)) | |
| template_config_path = os.path.join(base_path, 'assets', 'template_config.json') | |
| def generte_template_photo(template_name: str, input_image: np.ndarray) -> np.ndarray: | |
| """ | |
| 生成模板照片 | |
| :param template_name: 模板名称 | |
| :param input_image: 输入图像 | |
| :return: 模板照片 | |
| """ | |
| # 读取模板配置json | |
| with open(template_config_path, 'r') as f: | |
| template_config_dict = json.load(f) | |
| # 获取对应该模板的配置 | |
| template_config = template_config_dict[template_name] | |
| template_width = template_config['width'] | |
| template_height = template_config['height'] | |
| anchor_points = template_config['anchor_points'] | |
| rotation = anchor_points['rotation'] | |
| left_top = anchor_points['left_top'] | |
| right_top = anchor_points['right_top'] | |
| left_bottom = anchor_points['left_bottom'] | |
| right_bottom = anchor_points['right_bottom'] | |
| if rotation < 0: | |
| height = right_bottom[1] - left_top[1] | |
| width = right_top[0] - left_bottom[0] | |
| else: | |
| height = left_top[1] - right_bottom[1] | |
| width = left_bottom[0] - right_top[0] | |
| # 读取模板图像 | |
| template_image_path = os.path.join(base_path, 'assets', f'{template_name}.png') | |
| template_image = cv2.imread(template_image_path, cv2.IMREAD_UNCHANGED) | |
| # 无损旋转 | |
| rotated_image = rotate_bound(input_image, -1 * rotation)[0] | |
| rotated_image_height, rotated_image_width, _ = rotated_image.shape | |
| # 计算缩放比例 | |
| scale_x = width / rotated_image_width | |
| scale_y = height / rotated_image_height | |
| scale = max(scale_x, scale_y) | |
| resized_image = cv2.resize(rotated_image, None, fx=scale, fy=scale) | |
| resized_height, resized_width, _ = resized_image.shape | |
| # 创建一个与template_image大小相同的背景，使用白色填充 | |
| result = np.full((template_height, template_width, 3), 255, dtype=np.uint8) | |
| # 计算粘贴位置 | |
| paste_x = left_bottom[0] | |
| paste_y = left_top[1] | |
| # 确保不会超出边界 | |
| paste_height = min(resized_height, template_height - paste_y) | |
| paste_width = min(resized_width, template_width - paste_x) | |
| # 将旋转后的图像粘贴到结果图像上 | |
| result[paste_y:paste_y+paste_height, paste_x:paste_x+paste_width] = resized_image[:paste_height, :paste_width] | |
| template_image = cv2.cvtColor(template_image, cv2.COLOR_BGRA2RGBA) | |
| # 将template_image叠加到结果图像上 | |
| if template_image.shape[2] == 4: # 确保template_image有alpha通道 | |
| alpha = template_image[:, :, 3] / 255.0 | |
| for c in range(0, 3): | |
| result[:, :, c] = result[:, :, c] * (1 - alpha) + template_image[:, :, c] * alpha | |
| return result | |