143 lines
5.0 KiB
Python
143 lines
5.0 KiB
Python
# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import numpy as np
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from ppocr.metrics.det_metric import DetMetric
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class TableStructureMetric(object):
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def __init__(self, main_indicator='acc', eps=1e-6, **kwargs):
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self.main_indicator = main_indicator
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self.eps = eps
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self.reset()
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def __call__(self, pred_label, batch=None, *args, **kwargs):
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preds, labels = pred_label
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pred_structure_batch_list = preds['structure_batch_list']
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gt_structure_batch_list = labels['structure_batch_list']
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correct_num = 0
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all_num = 0
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for (pred, pred_conf), target in zip(pred_structure_batch_list,
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gt_structure_batch_list):
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pred_str = ''.join(pred)
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target_str = ''.join(target)
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if pred_str == target_str:
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correct_num += 1
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all_num += 1
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self.correct_num += correct_num
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self.all_num += all_num
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def get_metric(self):
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"""
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return metrics {
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'acc': 0,
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}
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"""
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acc = 1.0 * self.correct_num / (self.all_num + self.eps)
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self.reset()
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return {'acc': acc}
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def reset(self):
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self.correct_num = 0
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self.all_num = 0
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self.len_acc_num = 0
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self.token_nums = 0
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self.anys_dict = dict()
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class TableMetric(object):
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def __init__(self,
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main_indicator='acc',
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compute_bbox_metric=False,
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box_format='xyxy',
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**kwargs):
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"""
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@param sub_metrics: configs of sub_metric
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@param main_matric: main_matric for save best_model
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@param kwargs:
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"""
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self.structure_metric = TableStructureMetric()
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self.bbox_metric = DetMetric() if compute_bbox_metric else None
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self.main_indicator = main_indicator
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self.box_format = box_format
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self.reset()
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def __call__(self, pred_label, batch=None, *args, **kwargs):
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self.structure_metric(pred_label)
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if self.bbox_metric is not None:
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self.bbox_metric(*self.prepare_bbox_metric_input(pred_label))
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def prepare_bbox_metric_input(self, pred_label):
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pred_bbox_batch_list = []
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gt_ignore_tags_batch_list = []
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gt_bbox_batch_list = []
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preds, labels = pred_label
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batch_num = len(preds['bbox_batch_list'])
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for batch_idx in range(batch_num):
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# pred
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pred_bbox_list = [
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self.format_box(pred_box)
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for pred_box in preds['bbox_batch_list'][batch_idx]
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]
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pred_bbox_batch_list.append({'points': pred_bbox_list})
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# gt
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gt_bbox_list = []
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gt_ignore_tags_list = []
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for gt_box in labels['bbox_batch_list'][batch_idx]:
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gt_bbox_list.append(self.format_box(gt_box))
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gt_ignore_tags_list.append(0)
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gt_bbox_batch_list.append(gt_bbox_list)
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gt_ignore_tags_batch_list.append(gt_ignore_tags_list)
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return [
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pred_bbox_batch_list,
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[0, 0, gt_bbox_batch_list, gt_ignore_tags_batch_list]
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]
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def get_metric(self):
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structure_metric = self.structure_metric.get_metric()
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if self.bbox_metric is None:
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return structure_metric
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bbox_metric = self.bbox_metric.get_metric()
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if self.main_indicator == self.bbox_metric.main_indicator:
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output = bbox_metric
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for sub_key in structure_metric:
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output["structure_metric_{}".format(
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sub_key)] = structure_metric[sub_key]
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else:
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output = structure_metric
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for sub_key in bbox_metric:
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output["bbox_metric_{}".format(sub_key)] = bbox_metric[sub_key]
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return output
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def reset(self):
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self.structure_metric.reset()
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if self.bbox_metric is not None:
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self.bbox_metric.reset()
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def format_box(self, box):
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if self.box_format == 'xyxy':
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x1, y1, x2, y2 = box
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box = [[x1, y1], [x2, y1], [x2, y2], [x1, y2]]
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elif self.box_format == 'xywh':
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x, y, w, h = box
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x1, y1, x2, y2 = x - w // 2, y - h // 2, x + w // 2, y + h // 2
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box = [[x1, y1], [x2, y1], [x2, y2], [x1, y2]]
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elif self.box_format == 'xyxyxyxy':
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x1, y1, x2, y2, x3, y3, x4, y4 = box
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box = [[x1, y1], [x2, y2], [x3, y3], [x4, y4]]
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return box
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