Removed traces of bob.io.matlab

parent d0b0ac14
Pipeline #44765 failed with stage
in 14 minutes and 22 seconds
include README.rst buildout.cfg develop.cfg COPYING version.txt requirements.txt test-requirements.txt
recursive-include doc *.py *.rst
recursive-include bob/bio/vein/tests *.png *.mat *.txt *.hdf5
recursive-include bob/bio/vein/tests *.png *.txt *.hdf5
......@@ -19,7 +19,6 @@ import nose.tools
import pkg_resources
import bob.io.base
import bob.io.matlab
import bob.io.image
from ..preprocessor import utils as preprocessor_utils
......@@ -118,9 +117,9 @@ def test_preprocessor():
input_filename = F(('preprocessors', '0019_3_1_120509-160517.png'))
output_img_filename = F(('preprocessors',
'0019_3_1_120509-160517_img_lee_huang.mat'))
'0019_3_1_120509-160517_img_lee_huang.mat.hdf5'))
output_fvr_filename = F(('preprocessors',
'0019_3_1_120509-160517_fvr_lee_huang.mat'))
'0019_3_1_120509-160517_fvr_lee_huang.mat.hdf5'))
img = bob.io.base.load(input_filename)
......@@ -216,9 +215,9 @@ def test_repeated_line_tracking():
#Repeated Line Tracking method against Matlab reference
input_img_filename = F(('extractors', 'miurarlt_input_img.mat'))
input_fvr_filename = F(('extractors', 'miurarlt_input_fvr.mat'))
output_filename = F(('extractors', 'miurarlt_output.mat'))
input_img_filename = F(('extractors', 'miurarlt_input_img.mat.hdf5'))
input_fvr_filename = F(('extractors', 'miurarlt_input_fvr.mat.hdf5'))
output_filename = F(('extractors', 'miurarlt_output.mat.hdf5'))
# Load inputs
input_img = bob.io.base.load(input_img_filename)
......@@ -271,9 +270,9 @@ def test_wide_line_detector():
#Wide Line Detector method against Matlab reference
input_img_filename = F(('extractors', 'huangwl_input_img.mat'))
input_fvr_filename = F(('extractors', 'huangwl_input_fvr.mat'))
output_filename = F(('extractors', 'huangwl_output.mat'))
input_img_filename = F(('extractors', 'huangwl_input_img.mat.hdf5'))
input_fvr_filename = F(('extractors', 'huangwl_input_fvr.mat.hdf5'))
output_filename = F(('extractors', 'huangwl_output.mat.hdf5'))
# Load inputs
input_img = bob.io.base.load(input_img_filename)
......@@ -325,9 +324,9 @@ def test_miura_match():
#Match Ratio method against Matlab reference
template_filename = F(('algorithms', '0001_2_1_120509-135338.mat'))
probe_gen_filename = F(('algorithms', '0001_2_2_120509-135558.mat'))
probe_imp_filename = F(('algorithms', '0003_2_1_120509-141255.mat'))
template_filename = F(('algorithms', '0001_2_1_120509-135338.mat.hdf5'))
probe_gen_filename = F(('algorithms', '0001_2_2_120509-135558.mat.hdf5'))
probe_imp_filename = F(('algorithms', '0003_2_1_120509-141255.mat.hdf5'))
template_vein = bob.io.base.load(template_filename)
probe_gen_vein = bob.io.base.load(probe_gen_filename)
......@@ -347,9 +346,9 @@ def test_correlate():
#Match Ratio method against Matlab reference
template_filename = F(('algorithms', '0001_2_1_120509-135338.mat'))
probe_gen_filename = F(('algorithms', '0001_2_2_120509-135558.mat'))
probe_imp_filename = F(('algorithms', '0003_2_1_120509-141255.mat'))
template_filename = F(('algorithms', '0001_2_1_120509-135338.mat.hdf5'))
probe_gen_filename = F(('algorithms', '0001_2_2_120509-135558.mat.hdf5'))
probe_imp_filename = F(('algorithms', '0003_2_1_120509-141255.mat.hdf5'))
template_vein = bob.io.base.load(template_filename)
probe_gen_vein = bob.io.base.load(probe_gen_filename)
......
......@@ -36,7 +36,6 @@ requirements:
- bob.extension
- bob.core
- bob.io.base
- bob.io.matlab
- bob.io.image
- bob.ip.base
- bob.ip.color
......
......@@ -6,7 +6,6 @@
import numpy
import bob.io.base
import bob.io.matlab
from bob.bio.vein.extractor import MaximumCurvature
# Load inputs
......
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