| 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 |
|
|