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import copy |
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import cv2 |
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import random |
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import numpy as np |
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from PIL import Image |
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from shapely.geometry import Polygon |
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from ppocr.data.imaug.iaa_augment import IaaAugment |
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from ppocr.data.imaug.random_crop_data import is_poly_outside_rect |
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from tools.infer.utility import get_rotate_crop_image |
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class CopyPaste(object): |
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def __init__(self, objects_paste_ratio=0.2, limit_paste=True, **kwargs): |
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self.ext_data_num = 1 |
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self.objects_paste_ratio = objects_paste_ratio |
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self.limit_paste = limit_paste |
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augmenter_args = [{'type': 'Resize', 'args': {'size': [0.5, 3]}}] |
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self.aug = IaaAugment(augmenter_args) |
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def __call__(self, data): |
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point_num = data['polys'].shape[1] |
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src_img = data['image'] |
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src_polys = data['polys'].tolist() |
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src_texts = data['texts'] |
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src_ignores = data['ignore_tags'].tolist() |
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ext_data = data['ext_data'][0] |
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ext_image = ext_data['image'] |
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ext_polys = ext_data['polys'] |
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ext_texts = ext_data['texts'] |
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ext_ignores = ext_data['ignore_tags'] |
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indexs = [i for i in range(len(ext_ignores)) if not ext_ignores[i]] |
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select_num = max( |
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1, min(int(self.objects_paste_ratio * len(ext_polys)), 30)) |
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random.shuffle(indexs) |
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select_idxs = indexs[:select_num] |
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select_polys = ext_polys[select_idxs] |
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select_ignores = ext_ignores[select_idxs] |
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src_img = cv2.cvtColor(src_img, cv2.COLOR_BGR2RGB) |
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ext_image = cv2.cvtColor(ext_image, cv2.COLOR_BGR2RGB) |
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src_img = Image.fromarray(src_img).convert('RGBA') |
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for idx, poly, tag in zip(select_idxs, select_polys, select_ignores): |
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box_img = get_rotate_crop_image(ext_image, poly) |
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src_img, box = self.paste_img(src_img, box_img, src_polys) |
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if box is not None: |
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box = box.tolist() |
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for _ in range(len(box), point_num): |
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box.append(box[-1]) |
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src_polys.append(box) |
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src_texts.append(ext_texts[idx]) |
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src_ignores.append(tag) |
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src_img = cv2.cvtColor(np.array(src_img), cv2.COLOR_RGB2BGR) |
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h, w = src_img.shape[:2] |
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src_polys = np.array(src_polys) |
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src_polys[:, :, 0] = np.clip(src_polys[:, :, 0], 0, w) |
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src_polys[:, :, 1] = np.clip(src_polys[:, :, 1], 0, h) |
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data['image'] = src_img |
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data['polys'] = src_polys |
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data['texts'] = src_texts |
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data['ignore_tags'] = np.array(src_ignores) |
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return data |
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def paste_img(self, src_img, box_img, src_polys): |
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box_img_pil = Image.fromarray(box_img).convert('RGBA') |
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src_w, src_h = src_img.size |
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box_w, box_h = box_img_pil.size |
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angle = np.random.randint(0, 360) |
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box = np.array([[[0, 0], [box_w, 0], [box_w, box_h], [0, box_h]]]) |
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box = rotate_bbox(box_img, box, angle)[0] |
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box_img_pil = box_img_pil.rotate(angle, expand=1) |
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box_w, box_h = box_img_pil.width, box_img_pil.height |
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if src_w - box_w < 0 or src_h - box_h < 0: |
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return src_img, None |
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paste_x, paste_y = self.select_coord(src_polys, box, src_w - box_w, |
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src_h - box_h) |
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if paste_x is None: |
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return src_img, None |
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box[:, 0] += paste_x |
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box[:, 1] += paste_y |
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r, g, b, A = box_img_pil.split() |
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src_img.paste(box_img_pil, (paste_x, paste_y), mask=A) |
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return src_img, box |
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def select_coord(self, src_polys, box, endx, endy): |
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if self.limit_paste: |
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xmin, ymin, xmax, ymax = box[:, 0].min(), box[:, 1].min( |
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), box[:, 0].max(), box[:, 1].max() |
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for _ in range(50): |
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paste_x = random.randint(0, endx) |
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paste_y = random.randint(0, endy) |
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xmin1 = xmin + paste_x |
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xmax1 = xmax + paste_x |
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ymin1 = ymin + paste_y |
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ymax1 = ymax + paste_y |
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num_poly_in_rect = 0 |
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for poly in src_polys: |
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if not is_poly_outside_rect(poly, xmin1, ymin1, |
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xmax1 - xmin1, ymax1 - ymin1): |
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num_poly_in_rect += 1 |
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break |
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if num_poly_in_rect == 0: |
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return paste_x, paste_y |
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return None, None |
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else: |
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paste_x = random.randint(0, endx) |
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paste_y = random.randint(0, endy) |
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return paste_x, paste_y |
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def get_union(pD, pG): |
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return Polygon(pD).union(Polygon(pG)).area |
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def get_intersection_over_union(pD, pG): |
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return get_intersection(pD, pG) / get_union(pD, pG) |
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def get_intersection(pD, pG): |
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return Polygon(pD).intersection(Polygon(pG)).area |
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def rotate_bbox(img, text_polys, angle, scale=1): |
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""" |
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from https://github.com/WenmuZhou/DBNet.pytorch/blob/master/data_loader/modules/augment.py |
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Args: |
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img: np.ndarray |
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text_polys: np.ndarray N*4*2 |
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angle: int |
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scale: int |
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Returns: |
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""" |
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w = img.shape[1] |
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h = img.shape[0] |
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rangle = np.deg2rad(angle) |
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nw = (abs(np.sin(rangle) * h) + abs(np.cos(rangle) * w)) |
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nh = (abs(np.cos(rangle) * h) + abs(np.sin(rangle) * w)) |
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rot_mat = cv2.getRotationMatrix2D((nw * 0.5, nh * 0.5), angle, scale) |
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rot_move = np.dot(rot_mat, np.array([(nw - w) * 0.5, (nh - h) * 0.5, 0])) |
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rot_mat[0, 2] += rot_move[0] |
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rot_mat[1, 2] += rot_move[1] |
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rot_text_polys = list() |
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for bbox in text_polys: |
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point1 = np.dot(rot_mat, np.array([bbox[0, 0], bbox[0, 1], 1])) |
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point2 = np.dot(rot_mat, np.array([bbox[1, 0], bbox[1, 1], 1])) |
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point3 = np.dot(rot_mat, np.array([bbox[2, 0], bbox[2, 1], 1])) |
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point4 = np.dot(rot_mat, np.array([bbox[3, 0], bbox[3, 1], 1])) |
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rot_text_polys.append([point1, point2, point3, point4]) |
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return np.array(rot_text_polys, dtype=np.float32) |
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