add copy paste

ppocr/data/imaug/__init__.py

@@ -23,6 +23,7 @@ from .random_crop_data import EastRandomCropData, PSERandomCrop
 
 from .rec_img_aug import RecAug, RecResizeImg, ClsResizeImg, SRNRecResizeImg
 from .randaugment import RandAugment
+from .copy_paste import CopyPaste
 from .operators import *
 from .label_ops import *
 

ppocr/data/imaug/copy_paste.py

+# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import copy
+import cv2
+import random
+import numpy as np
+from PIL import Image
+from shapely.geometry import Polygon
+
+from ppocr.data.imaug.iaa_augment import IaaAugment
+from ppocr.data.imaug.random_crop_data import is_poly_outside_rect
+
+
+def get_rotate_crop_image(img, points):
+    '''
+    img_height, img_width = img.shape[0:2]
+    left = int(np.min(points[:, 0]))
+    right = int(np.max(points[:, 0]))
+    top = int(np.min(points[:, 1]))
+    bottom = int(np.max(points[:, 1]))
+    img_crop = img[top:bottom, left:right, :].copy()
+    points[:, 0] = points[:, 0] - left
+    points[:, 1] = points[:, 1] - top
+    '''
+    img_crop_width = int(
+        max(
+            np.linalg.norm(points[0] - points[1]),
+            np.linalg.norm(points[2] - points[3])))
+    img_crop_height = int(
+        max(
+            np.linalg.norm(points[0] - points[3]),
+            np.linalg.norm(points[1] - points[2])))
+    pts_std = np.float32([[0, 0], [img_crop_width, 0],
+                          [img_crop_width, img_crop_height],
+                          [0, img_crop_height]])
+    M = cv2.getPerspectiveTransform(points, pts_std)
+    dst_img = cv2.warpPerspective(
+        img,
+        M, (img_crop_width, img_crop_height),
+        borderMode=cv2.BORDER_REPLICATE,
+        flags=cv2.INTER_CUBIC)
+    dst_img_height, dst_img_width = dst_img.shape[0:2]
+    if dst_img_height * 1.0 / dst_img_width >= 1.5:
+        dst_img = np.rot90(dst_img)
+    return dst_img
+
+
+class CopyPaste(object):
+    def __init__(self, objects_paste_ratio=0.2, limit_paste=True, **kwargs):
+        self.ext_data_num = 1
+        self.objects_paste_ratio = objects_paste_ratio
+        self.limit_paste = limit_paste
+        augmenter_args = [{'type': 'Resize', 'args': {'size': [0.5, 3]}}]
+        self.aug = IaaAugment(augmenter_args)
+
+    def __call__(self, data):
+        src_img = data['image']
+        src_polys = data['polys'].tolist()
+        src_ignores = data['ignore_tags'].tolist()
+        ext_data = data['ext_data'][0]
+        ext_image = ext_data['image']
+        ext_polys = ext_data['polys']
+        ext_ignores = ext_data['ignore_tags']
+
+        indexs = [i for i in range(len(ext_ignores)) if not ext_ignores[i]]
+        select_num = max(
+            1, min(int(self.objects_paste_ratio * len(ext_polys)), 30))
+
+        random.shuffle(indexs)
+        select_idxs = indexs[:select_num]
+        select_polys = ext_polys[select_idxs]
+        select_ignores = ext_ignores[select_idxs]
+
+        src_img = cv2.cvtColor(src_img, cv2.COLOR_BGR2RGB)
+        ext_image = cv2.cvtColor(ext_image, cv2.COLOR_BGR2RGB)
+        src_img = Image.fromarray(src_img).convert('RGBA')
+        for poly, tag in zip(select_polys, select_ignores):
+            box_img = get_rotate_crop_image(ext_image, poly)
+
+            src_img, box = self.paste_img(src_img, box_img, src_polys)
+            if box is not None:
+                src_polys.append(box)
+                src_ignores.append(tag)
+        src_img = cv2.cvtColor(np.array(src_img), cv2.COLOR_RGB2BGR)
+        h, w = src_img.shape[:2]
+        src_polys = np.array(src_polys)
+        src_polys[:, :, 0] = np.clip(src_polys[:, :, 0], 0, w)
+        src_polys[:, :, 1] = np.clip(src_polys[:, :, 1], 0, h)
+        data['image'] = src_img
+        data['polys'] = src_polys
+        data['ignore_tags'] = np.array(src_ignores)
+        return data
+
+    def paste_img(self, src_img, box_img, src_polys):
+        box_img_pil = Image.fromarray(box_img).convert('RGBA')
+        src_w, src_h = src_img.size
+        box_w, box_h = box_img_pil.size
+        if box_w > src_w or box_h > src_h:
+            return src_img, None
+        angle = np.random.randint(0, 360)
+        box = np.array([[[0, 0], [box_w, 0], [box_w, box_h], [0, box_h]]])
+        box = rotate_bbox(box_img, box, angle)[0]
+
+        paste_x, paste_y = self.select_coord(src_polys, box, src_w - box_w,
+                                             src_h - box_h)
+        if paste_x is None:
+            return src_img, None
+        box[:, 0] += paste_x
+        box[:, 1] += paste_y
+        box_img_pil = box_img_pil.rotate(angle, expand=1)
+        r, g, b, A = box_img_pil.split()
+        src_img.paste(box_img_pil, (paste_x, paste_y), mask=A)
+
+        return src_img, box
+
+    def select_coord(self, src_polys, box, endx, endy):
+        if self.limit_paste:
+            xmin, ymin, xmax, ymax = box[:, 0].min(), box[:, 1].min(
+            ), box[:, 0].max(), box[:, 1].max()
+            for _ in range(50):
+                paste_x = random.randint(0, endx)
+                paste_y = random.randint(0, endy)
+                xmin1 = xmin + paste_x
+                xmax1 = xmax + paste_x
+                ymin1 = ymin + paste_y
+                ymax1 = ymax + paste_y
+
+                num_poly_in_rect = 0
+                for poly in src_polys:
+                    if not is_poly_outside_rect(poly, xmax1, ymin1,
+                                                xmax1 - xmin1, ymax1 - ymin1):
+                        num_poly_in_rect += 1
+                        break
+                if num_poly_in_rect == 0:
+                    return paste_x, paste_y
+            return None, None
+        else:
+            paste_x = random.randint(0, endx)
+            paste_y = random.randint(0, endy)
+            return paste_x, paste_y
+
+
+def get_union(pD, pG):
+    return Polygon(pD).union(Polygon(pG)).area
+
+
+def get_intersection_over_union(pD, pG):
+    return get_intersection(pD, pG) / get_union(pD, pG)
+
+
+def get_intersection(pD, pG):
+    return Polygon(pD).intersection(Polygon(pG)).area
+
+
+def rotate_bbox(img, text_polys, angle, scale=1):
+    """
+    从给定的角度中选择一个角度，对图片和文本框进行旋转
+    :param img: 图片
+    :param text_polys: 文本框
+    :param degrees: 角度，可以是一个数值或者list
+    :param same_size: 是否保持和原图一样大
+    :return: 旋转后的图片和角度
+    """
+    # ---------------------- 旋转图像 ----------------------
+    w = img.shape[1]
+    h = img.shape[0]
+
+    # 角度变弧度
+    rangle = np.deg2rad(angle)
+    # 计算旋转之后图像的w, h
+    nw = (abs(np.sin(rangle) * h) + abs(np.cos(rangle) * w))
+    nh = (abs(np.cos(rangle) * h) + abs(np.sin(rangle) * w))
+    # 构造仿射矩阵
+    rot_mat = cv2.getRotationMatrix2D((nw * 0.5, nh * 0.5), angle, scale)
+    # 计算原图中心点到新图中心点的偏移量
+    rot_move = np.dot(rot_mat, np.array([(nw - w) * 0.5, (nh - h) * 0.5, 0]))
+    # 更新仿射矩阵
+    rot_mat[0, 2] += rot_move[0]
+    rot_mat[1, 2] += rot_move[1]
+
+    # ---------------------- 矫正bbox坐标 ----------------------
+    # rot_mat是最终的旋转矩阵
+    # 获取原始bbox的四个中点，然后将这四个点转换到旋转后的坐标系下
+    rot_text_polys = list()
+    for bbox in text_polys:
+        point1 = np.dot(rot_mat, np.array([bbox[0, 0], bbox[0, 1], 1]))
+        point2 = np.dot(rot_mat, np.array([bbox[1, 0], bbox[1, 1], 1]))
+        point3 = np.dot(rot_mat, np.array([bbox[2, 0], bbox[2, 1], 1]))
+        point4 = np.dot(rot_mat, np.array([bbox[3, 0], bbox[3, 1], 1]))
+        rot_text_polys.append([point1, point2, point3, point4])
+    return np.array(rot_text_polys, dtype=np.float32)