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import numpy as np |
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import pytest |
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import torch |
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from mmocr.models.textdet.postprocess import (DBPostprocessor, |
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FCEPostprocessor, |
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TextSnakePostprocessor) |
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from mmocr.models.textdet.postprocess.utils import comps2boundaries, poly_nms |
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def test_db_boxes_from_bitmaps(): |
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"""Test the boxes_from_bitmaps function in db_decoder.""" |
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pred = np.array([[[0.8, 0.8, 0.8, 0.8, 0], [0.8, 0.8, 0.8, 0.8, 0], |
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[0.8, 0.8, 0.8, 0.8, 0], [0.8, 0.8, 0.8, 0.8, 0], |
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[0.8, 0.8, 0.8, 0.8, 0]]]) |
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preds = torch.FloatTensor(pred).requires_grad_(True) |
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db_decode = DBPostprocessor(text_repr_type='quad', min_text_width=0) |
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boxes = db_decode(preds) |
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assert len(boxes) == 1 |
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def test_fcenet_decode(): |
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k = 1 |
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preds = [] |
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preds.append(torch.ones(1, 4, 10, 10)) |
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preds.append(torch.ones(1, 4 * k + 2, 10, 10)) |
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fcenet_decode = FCEPostprocessor( |
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fourier_degree=k, num_reconstr_points=50, nms_thr=0.01) |
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boundaries = fcenet_decode(preds=preds, scale=1) |
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assert isinstance(boundaries, list) |
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def test_poly_nms(): |
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threshold = 0 |
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polygons = [] |
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polygons.append([10, 10, 10, 30, 30, 30, 30, 10, 0.95]) |
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polygons.append([15, 15, 15, 25, 25, 25, 25, 15, 0.9]) |
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polygons.append([40, 40, 40, 50, 50, 50, 50, 40, 0.85]) |
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polygons.append([5, 5, 5, 15, 15, 15, 15, 5, 0.7]) |
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keep_poly = poly_nms(polygons, threshold) |
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assert isinstance(keep_poly, list) |
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def test_comps2boundaries(): |
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x1 = np.arange(2, 18, 2) |
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x2 = x1 + 2 |
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y1 = np.ones(8) * 2 |
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y2 = y1 + 2 |
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comp_scores = np.ones(8, dtype=np.float32) * 0.9 |
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text_comps = np.stack([x1, y1, x2, y1, x2, y2, x1, y2, |
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comp_scores]).transpose() |
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comp_labels = np.array([1, 1, 1, 1, 1, 3, 5, 5]) |
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shuffle = [3, 2, 5, 7, 6, 0, 4, 1] |
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boundaries = comps2boundaries(text_comps[shuffle], comp_labels[shuffle]) |
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assert len(boundaries) == 3 |
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boundaries = comps2boundaries(text_comps[[]], comp_labels[[]]) |
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assert len(boundaries) == 0 |
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def test_textsnake_decode(): |
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maps = torch.zeros((1, 6, 224, 224), dtype=torch.float) |
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maps[:, 0:2, :, :] = -10. |
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maps[:, 0, 60:100, 50:170] = 10. |
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maps[:, 1, 75:85, 60:160] = 10. |
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maps[:, 2, 75:85, 60:160] = 0. |
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maps[:, 3, 75:85, 60:160] = 1. |
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maps[:, 4, 75:85, 60:160] = 10. |
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maps[:, 0:2, 150:152, 5:7] = 10. |
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textsnake_decode = TextSnakePostprocessor() |
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results = textsnake_decode(torch.squeeze(maps)) |
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assert len(results) == 1 |
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maps.fill_(0.) |
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maps[:, 0:2, :, :] = -10. |
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maps[:, 0, 120:140, 20:40] = 10. |
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maps[:, 1, 120:140, 20:40] = 10. |
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maps[:, 2, 120:140, 20:40] = 0. |
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maps[:, 3, 120:140, 20:40] = 1. |
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maps[:, 4, 120:140, 20:40] = 0.5 |
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results = textsnake_decode(torch.squeeze(maps)) |
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assert len(results) == 0 |
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def test_db_decode(): |
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pred = torch.zeros((1, 8, 8)) |
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pred[0, 2:7, 2:7] = 0.8 |
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expect_result_quad = [[ |
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1.0, 8.0, 1.0, 1.0, 8.0, 1.0, 8.0, 8.0, 0.800000011920929 |
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]] |
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expect_result_poly = [[ |
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8, 2, 8, 6, 6, 8, 2, 8, 1, 6, 1, 2, 2, 1, 6, 1, 0.800000011920929 |
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]] |
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with pytest.raises(AssertionError): |
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DBPostprocessor(text_repr_type='dummpy') |
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db_decode = DBPostprocessor(text_repr_type='quad', min_text_width=1) |
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result_quad = db_decode(preds=pred) |
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db_decode = DBPostprocessor(text_repr_type='poly', min_text_width=1) |
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result_poly = db_decode(preds=pred) |
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assert result_quad == expect_result_quad |
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assert result_poly == expect_result_poly |
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