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1#!/usr/bin/env python 

2# coding=utf-8 

3 

4 

5"""Tests for Montgomery County CXR dataset""" 

6 

7import numpy 

8import pytest 

9 

10from ...binseg.data.montgomery import dataset 

11from .utils import count_bw 

12 

13 

14def test_protocol_consistency(): 

15 

16 subset = dataset.subsets("default") 

17 assert len(subset) == 3 

18 

19 assert "train" in subset 

20 assert len(subset["train"]) == 96 

21 for s in subset["train"]: 

22 assert s.key.startswith("CXR_png") 

23 

24 assert "validation" in subset 

25 assert len(subset["validation"]) == 14 

26 for s in subset["validation"]: 

27 assert s.key.startswith("CXR_png") 

28 

29 assert "test" in subset 

30 assert len(subset["test"]) == 28 

31 for s in subset["test"]: 

32 assert s.key.startswith("CXR_png") 

33 

34 

35@pytest.mark.skip_if_rc_var_not_set("bob.ip.binseg.montgomery.datadir") 

36def test_loading(): 

37 

38 image_size_1 = (4892, 4020) 

39 image_size_2 = (4020, 4892) 

40 

41 def _check_sample(s, bw_threshold_label): 

42 

43 data = s.data 

44 assert isinstance(data, dict) 

45 assert len(data) == 2 

46 

47 assert "data" in data 

48 assert ( 

49 data["data"].size == image_size_1 

50 or data["data"].size == image_size_2 

51 ) 

52 assert data["data"].mode == "RGB" 

53 

54 assert "label" in data 

55 assert ( 

56 data["label"].size == image_size_1 

57 or data["label"].size == image_size_2 

58 ) 

59 assert data["label"].mode == "1" 

60 

61 b, w = count_bw(data["label"]) 

62 assert (b + w) == numpy.prod(image_size_1), ( 

63 f"Counts of black + white ({b}+{w}) do not add up to total " 

64 f"image size ({numpy.prod(image_size_1)}) at '{s.key}':label" 

65 ) 

66 assert (w / b) < bw_threshold_label, ( 

67 f"The proportion between black and white pixels " 

68 f"({w}/{b}={w/b:.3f}) is larger than the allowed threshold " 

69 f"of {bw_threshold_label} at '{s.key}':label - this could " 

70 f"indicate a loading problem!" 

71 ) 

72 

73 # to visualize images, uncomment the folowing code it should display an 

74 # image with a faded background representing the original data, blended 

75 # with green labels. 

76 # from ..data.utils import overlayed_image 

77 # display = overlayed_image(data["data"], data["label"]) 

78 # display.show() 

79 # import ipdb; ipdb.set_trace() 

80 

81 return w / b 

82 

83 limit = None # use this to limit testing to first images only 

84 subset = dataset.subsets("default") 

85 proportions = [_check_sample(s, 0.67) for s in subset["train"][:limit]] 

86 proportions = [_check_sample(s, 0.67) for s in subset["validation"][:limit]] 

87 proportions = [_check_sample(s, 0.67) for s in subset["test"][:limit]] 

88 del proportions # only to satisfy flake8 

89 

90 

91@pytest.mark.skip_if_rc_var_not_set("bob.ip.binseg.montgomery.datadir") 

92def test_check(): 

93 assert dataset.check() == 0