Coverage for /scratch/builds/bob/bob.ip.binseg/miniconda/conda-bld/bob.ip.binseg_1673966692152/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_p/lib/python3.10/site-packages/bob/ip/common/test/test_hrf.py: 44%

1#!/usr/bin/env python 

2# coding=utf-8 

3 

4 

5"""Tests for HRF""" 

6 

7import os 

8 

9import numpy 

10import pytest 

11 

12from ...binseg.data.hrf import dataset 

13from .utils import count_bw 

14 

15 

16def test_protocol_consistency(): 

17 

18 subset = dataset.subsets("default") 

19 assert len(subset) == 2 

20 

21 assert "train" in subset 

22 assert len(subset["train"]) == 15 

23 for s in subset["train"]: 

24 assert s.key.startswith(os.path.join("images", "0")) 

25 

26 assert "test" in subset 

27 assert len(subset["test"]) == 30 

28 for s in subset["test"]: 

29 assert s.key.startswith("images") 

30 

31 

32@pytest.mark.skip_if_rc_var_not_set("bob.ip.binseg.hrf.datadir") 

33def test_loading(): 

34 

35 image_size = (3504, 2336) 

36 

37 def _check_sample(s, bw_threshold_label, bw_threshold_mask): 

38 

39 data = s.data 

40 assert isinstance(data, dict) 

41 assert len(data) == 3 

42 

43 assert "data" in data 

44 assert data["data"].size == image_size 

45 assert data["data"].mode == "RGB" 

46 

47 assert "label" in data 

48 assert data["label"].size == image_size 

49 assert data["label"].mode == "1" 

50 b, w = count_bw(data["label"]) 

51 assert (b + w) == numpy.prod(image_size), ( 

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

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

54 ) 

55 assert (w / b) < bw_threshold_label, ( 

56 f"The proportion between black and white pixels " 

57 f"({w}/{b}={w/b:.2f}) is larger than the allowed threshold " 

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

59 f"indicate a loading problem!" 

60 ) 

61 

62 assert "mask" in data 

63 assert data["mask"].size == image_size 

64 assert data["mask"].mode == "1" 

65 bm, wm = count_bw(data["mask"]) 

66 assert (bm + wm) == numpy.prod(image_size), ( 

67 f"Counts of black + white ({bm}+{wm}) do not add up to total " 

68 f"image size ({numpy.prod(image_size)}) at '{s.key}':mask" 

69 ) 

70 assert (wm / bm) > bw_threshold_mask, ( 

71 f"The proportion between black and white pixels in masks " 

72 f"({wm}/{bm}={wm/bm:.2f}) is smaller than the allowed " 

73 f"threshold of {bw_threshold_mask} at '{s.key}':label - " 

74 f"this could indicate a loading problem!" 

75 ) 

76 

77 # to visualize images, uncomment the folowing code 

78 # it should display an image with a faded background representing the 

79 # original data, blended with green labels and blue area indicating the 

80 # parts to be masked out. 

81 # from ..data.utils import overlayed_image 

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

83 # display.show() 

84 # import ipdb; ipdb.set_trace() 

85 

86 return w / b, wm / bm 

87 

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

89 subset = dataset.subsets("default") 

90 proportions = [ 

91 _check_sample(s, 0.12, 5.42) for s in subset["train"][:limit] 

92 ] 

93 # print(f"max label proportions = {max(k[0] for k in proportions)}") 

94 # print(f"min mask proportions = {min(k[1] for k in proportions)}") 

95 proportions = [_check_sample(s, 0.12, 5.41) for s in subset["test"][:limit]] 

96 # print(f"max label proportions = {max(k[0] for k in proportions)}") 

97 # print(f"min mask proportions = {min(k[1] for k in proportions)}") 

98 del proportions # only to satisfy flake8 

99 

100 

101@pytest.mark.skip_if_rc_var_not_set("bob.ip.binseg.hrf.datadir") 

102def test_check(): 

103 assert dataset.check() == 0