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PaddleOCR
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This commit is contained in:
WenmuZhou 2021-08-03 20:18:49 +08:00
parent aca8820fad
commit 81a42fee3d
1 changed files with 7 additions and 23 deletions
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ppocr/postprocess/pse_postprocess/pse_postprocess.py
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@ -60,18 +60,17 @@ class PSEPostProcess(object):
boxes_batch = [] boxes_batch = []
for batch_index in range(pred.shape[0]): for batch_index in range(pred.shape[0]):
src_h, src_w, ratio_h, ratio_w = shape_list[batch_index] boxes, scores = self.boxes_from_bitmap(score[batch_index], kernels[batch_index], shape_list[batch_index])
boxes, scores = self.boxes_from_bitmap(score[batch_index], kernels[batch_index], src_h, src_w)
boxes_batch.append({'points': boxes, 'scores': scores}) boxes_batch.append({'points': boxes, 'scores': scores})
return boxes_batch return boxes_batch
def boxes_from_bitmap(self, score, kernels, src_h, src_w): def boxes_from_bitmap(self, score, kernels, shape):
label = pse(kernels, self.min_area) label = pse(kernels, self.min_area)
return self.generate_box(score, label, src_h, src_w) return self.generate_box(score, label, shape)
def generate_box(self, score, label, src_h, src_w): def generate_box(self, score, label, shape):
height, width = label.shape src_h, src_w, ratio_h, ratio_w = shape
label_num = np.max(label) + 1 label_num = np.max(label) + 1
boxes = [] boxes = []
@ -105,24 +104,9 @@ class PSEPostProcess(object):
raise NotImplementedError raise NotImplementedError
bbox[:, 0] = np.clip( bbox[:, 0] = np.clip(
np.round(bbox[:, 0] / width * src_w), 0, src_w) np.round(bbox[:, 0] / ratio_w), 0, src_w)
bbox[:, 1] = np.clip( bbox[:, 1] = np.clip(
np.round(bbox[:, 1] / height * src_h), 0, src_h) np.round(bbox[:, 1] / ratio_h), 0, src_h)
boxes.append(bbox) boxes.append(bbox)
scores.append(score_i) scores.append(score_i)
return boxes, scores return boxes, scores
if __name__ == '__main__':
post = PSEPostProcess(thresh=0.5,
box_thresh=0.85,
min_area=16,
box_type='poly',
scale=4)
out = np.load('/Users/zhoujun20/Desktop/工作相关/OCR/论文复现/pan_pp.pytorch/out.npy')
res = np.load('/Users/zhoujun20/Desktop/工作相关/OCR/论文复现/pan_pp.pytorch/det_res.npy', allow_pickle=True).tolist()
out = {'maps': paddle.to_tensor(out)}
det_res = post(out, shape_list=[[720, 1280, 1, 1]])
print(det_res)
print(res)