import imgaug import numpy as np from concern.config import State from .data_process import DataProcess from data.augmenter import AugmenterBuilder import cv2 import math class AugmentData(DataProcess): augmenter_args = State(autoload=False) def __init__(self, **kwargs): self.augmenter_args = kwargs.get('augmenter_args') self.keep_ratio = kwargs.get('keep_ratio') self.only_resize = kwargs.get('only_resize') self.augmenter = AugmenterBuilder().build(self.augmenter_args) def may_augment_annotation(self, aug, data): pass def resize_image(self, image): origin_height, origin_width, _ = image.shape resize_shape = self.augmenter_args[0][1] height = resize_shape['height'] width = resize_shape['width'] if self.keep_ratio: width = origin_width * height / origin_height N = math.ceil(width / 32) width = N * 32 image = cv2.resize(image, (width, height)) return image def process(self, data): image = data['image'] aug = None shape = image.shape if self.augmenter: aug = self.augmenter.to_deterministic() if self.only_resize: data['image'] = self.resize_image(image) else: data['image'] = aug.augment_image(image) self.may_augment_annotation(aug, data, shape) filename = data.get('filename', data.get('data_id', '')) data.update(filename=filename, shape=shape[:2]) if not self.only_resize: data['is_training'] = True else: data['is_training'] = False return data class AugmentDetectionData(AugmentData): def may_augment_annotation(self, aug, data, shape): if aug is None: return data line_polys = [] for line in data['lines']: if self.only_resize: new_poly = [(p[0], p[1]) for p in line['poly']] else: new_poly = self.may_augment_poly(aug, shape, line['poly']) line_polys.append({ 'points': new_poly, 'ignore': line['text'] == '###', 'text': line['text'], }) data['polys'] = line_polys return data def may_augment_poly(self, aug, img_shape, poly): keypoints = [imgaug.Keypoint(p[0], p[1]) for p in poly] keypoints = aug.augment_keypoints( [imgaug.KeypointsOnImage(keypoints, shape=img_shape)])[0].keypoints poly = [(p.x, p.y) for p in keypoints] return poly