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| import PIL | |
| import numpy as np | |
| from PIL import Image | |
| class Croper: | |
| def __init__( | |
| self, | |
| input_image: PIL.Image, | |
| target_mask: np.ndarray, | |
| mask_size: int = 256, | |
| mask_expansion: int = 20, | |
| ): | |
| self.input_image = input_image | |
| self.target_mask = target_mask | |
| self.mask_size = mask_size | |
| self.mask_expansion = mask_expansion | |
| def corp_mask_image(self): | |
| target_mask = self.target_mask | |
| input_image = self.input_image | |
| mask_expansion = self.mask_expansion | |
| original_width, original_height = input_image.size | |
| mask_indices = np.where(target_mask) | |
| start_y = np.min(mask_indices[0]) | |
| end_y = np.max(mask_indices[0]) | |
| start_x = np.min(mask_indices[1]) | |
| end_x = np.max(mask_indices[1]) | |
| mask_height = end_y - start_y | |
| mask_width = end_x - start_x | |
| # choose the max side length | |
| max_side_length = max(mask_height, mask_width) | |
| # expand the mask area | |
| height_diff = (max_side_length - mask_height) // 2 | |
| width_diff = (max_side_length - mask_width) // 2 | |
| start_y = start_y - mask_expansion - height_diff | |
| if start_y < 0: | |
| start_y = 0 | |
| end_y = end_y + mask_expansion + height_diff | |
| if end_y > original_height: | |
| end_y = original_height | |
| start_x = start_x - mask_expansion - width_diff | |
| if start_x < 0: | |
| start_x = 0 | |
| end_x = end_x + mask_expansion + width_diff | |
| if end_x > original_width: | |
| end_x = original_width | |
| expanded_height = end_y - start_y | |
| expanded_width = end_x - start_x | |
| expanded_max_side_length = max(expanded_height, expanded_width) | |
| # calculate the crop area | |
| crop_mask = target_mask[start_y:end_y, start_x:end_x] | |
| crop_mask_start_y = (expanded_max_side_length - expanded_height) // 2 | |
| crop_mask_end_y = crop_mask_start_y + expanded_height | |
| crop_mask_start_x = (expanded_max_side_length - expanded_width) // 2 | |
| crop_mask_end_x = crop_mask_start_x + expanded_width | |
| # create a square mask | |
| square_mask = np.zeros((expanded_max_side_length, expanded_max_side_length), dtype=target_mask.dtype) | |
| square_mask[crop_mask_start_y:crop_mask_end_y, crop_mask_start_x:crop_mask_end_x] = crop_mask | |
| square_mask_image = Image.fromarray((square_mask * 255).astype(np.uint8)) | |
| crop_image = input_image.crop((start_x, start_y, end_x, end_y)) | |
| square_image = Image.new("RGB", (expanded_max_side_length, expanded_max_side_length)) | |
| square_image.paste(crop_image, (crop_mask_start_x, crop_mask_start_y)) | |
| self.origin_start_x = start_x | |
| self.origin_start_y = start_y | |
| self.origin_end_x = end_x | |
| self.origin_end_y = end_y | |
| self.square_start_x = crop_mask_start_x | |
| self.square_start_y = crop_mask_start_y | |
| self.square_end_x = crop_mask_end_x | |
| self.square_end_y = crop_mask_end_y | |
| self.square_length = expanded_max_side_length | |
| self.square_mask_image = square_mask_image | |
| self.square_image = square_image | |
| self.corp_mask = crop_mask | |
| mask_size = self.mask_size | |
| self.resized_square_mask_image = square_mask_image.resize((mask_size, mask_size)) | |
| self.resized_square_image = square_image.resize((mask_size, mask_size)) | |
| return self.resized_square_mask_image | |
| def restore_result(self, generated_image): | |
| square_length = self.square_length | |
| generated_image = generated_image.resize((square_length, square_length)) | |
| square_mask_image = self.square_mask_image | |
| cropped_generated_image = generated_image.crop((self.square_start_x, self.square_start_y, self.square_end_x, self.square_end_y)) | |
| cropped_square_mask_image = square_mask_image.crop((self.square_start_x, self.square_start_y, self.square_end_x, self.square_end_y)) | |
| restored_image = self.input_image.copy() | |
| restored_image.paste(cropped_generated_image, (self.origin_start_x, self.origin_start_y), cropped_square_mask_image) | |
| return restored_image | |
| def restore_result_v2(self, generated_image): | |
| square_length = self.square_length | |
| generated_image = generated_image.resize((square_length, square_length)) | |
| cropped_generated_image = generated_image.crop((self.square_start_x, self.square_start_y, self.square_end_x, self.square_end_y)) | |
| restored_image = self.input_image.copy() | |
| restored_image.paste(cropped_generated_image, (self.origin_start_x, self.origin_start_y)) | |
| return restored_image | |