| import numpy as np | |
| from data.quad import Quad | |
| from concern.config import State | |
| from .data_process import DataProcess | |
| class SerializeBox(DataProcess): | |
| box_key = State(default='charboxes') | |
| format = State(default='NP2') | |
| def process(self, data): | |
| data[self.box_key] = data['lines'].quads | |
| return data | |
| class UnifyRect(SerializeBox): | |
| max_size = State(default=64) | |
| def process(self, data): | |
| h, w = data['image'].shape[:2] | |
| boxes = np.zeros((self.max_size, 4), dtype=np.float32) | |
| mask_has_box = np.zeros(self.max_size, dtype=np.float32) | |
| data = super().process(data) | |
| quad = data[self.box_key] | |
| assert quad.shape[0] <= self.max_size | |
| boxes[:quad.shape[0]] = quad.rectify() / np.array([w, h, w, h]).reshape(1, 4) | |
| mask_has_box[:quad.shape[0]] = 1. | |
| data['boxes'] = boxes | |
| data['mask_has_box'] = mask_has_box | |
| return data | |