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fixed fail with torchjpeg
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Martin Beneš committed Sep 9, 2024
1 parent 61877db commit 3daa80e
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Showing 6 changed files with 51 additions and 42 deletions.
12 changes: 6 additions & 6 deletions .github/workflows/on_commit.yml
Original file line number Diff line number Diff line change
Expand Up @@ -14,10 +14,10 @@ jobs:
steps: # tasks
- name: Set Github Workspace # access Github Workspace
uses: actions/checkout@v2
- name: Set up Python 3.10 # set architecture and Python3
- name: Set up Python 3.11 # set architecture and Python3
uses: actions/setup-python@v3
with:
python-version: "3.10"
python-version: "3.11"
architecture: "x64" # architecture
- name: Install test dependencies
uses: ./.github/common/install_test_dependencies
Expand All @@ -33,10 +33,10 @@ jobs:
steps: # tasks
- name: Set Github Workspace # access Github Workspace
uses: actions/checkout@v2
- name: Set up Python 3.10 # set architecture and Python3
- name: Set up Python 3.11 # set architecture and Python3
uses: actions/setup-python@v2
with:
python-version: "3.10"
python-version: "3.11"
architecture: "x64" # architecture
- name: Install test dependencies on windows
uses: ./.github/common/install_test_dependencies_windows
Expand All @@ -51,10 +51,10 @@ jobs:
steps: # tasks
- name: Set Github Workspace # access Github Workspace
uses: actions/checkout@v2
- name: Set up Python 3.10 # set architecture and Python3
- name: Set up Python 3.11 # set architecture and Python3
uses: actions/setup-python@v2
with:
python-version: "3.10"
python-version: "3.11"
architecture: "x64" # architecture
- name: Install dependencies
uses: ./.github/common/install_dependencies
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2 changes: 1 addition & 1 deletion requirements.txt
Original file line number Diff line number Diff line change
@@ -1,2 +1,2 @@
wheel>0.30.0
wheel>=0.44.0
numpy>=2.1.1
1 change: 1 addition & 0 deletions src/jpeglib/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,7 @@

__all__ = [
'read_dct', 'read_spatial', 'from_spatial', 'from_dct', 'to_jpegio',
'quantize', 'qf_to_qt',
'SpatialJPEG', 'DCTJPEG', 'DCTJPEGio', 'ProgressiveJPEG',
'Colorspace', 'DCTMethod', 'Dithermode', 'Marker', 'MarkerType', 'Huffman', 'Scan',
'version', 'Jab_to_factors',
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5 changes: 3 additions & 2 deletions src/jpeglib/spatial_jpeg.py
Original file line number Diff line number Diff line change
Expand Up @@ -150,7 +150,8 @@ def write_spatial(
raise IOError('no destination file specified')
# scans
if self.num_scans > 1:
warnings.warn('saving progressive JPEG as sequential, specify buffered=True in read_spatial to stay progressive')
warnings.warn('saving progressive JPEG as sequential, '
'specify buffered=True in read_spatial to stay progressive')
# quality
# use default of library
if qt is None:
Expand Down Expand Up @@ -218,7 +219,7 @@ def unquantized_coefficients(
Quick-and-dirty implementation.
Current TODOs are JDCT_IFAST method and other samp_factors
"""
""" # noqa: E501
# implementation limits
assert self.samp_factor == '4:4:4' or (self.samp_factor == 1).all()
assert version.get() in version.LIBJPEG_VERSIONS
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12 changes: 6 additions & 6 deletions tests/requirements.txt
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
wheel
cython
Pillow
pandas
scipy
parameterized
cython>=3.0.0
Pillow>=10.4.0
pandas>=2.0.0
scipy>=1.14.0
parameterized>=0.9.0
numpy<2.0.0
61 changes: 34 additions & 27 deletions tests/test_dct.py
Original file line number Diff line number Diff line change
Expand Up @@ -241,33 +241,40 @@ def get_full_shape(c):
np.prod(c.shape[i::2])
for i in range(2)
])
np.testing.assert_array_equal(
get_full_shape(jpeg.Y),
shape.numpy()[0]
)
np.testing.assert_array_equal(
get_full_shape(jpeg.Cb),
shape.numpy()[1]
)
np.testing.assert_array_equal(
get_full_shape(jpeg.Cr),
shape.numpy()[2]
)
np.testing.assert_array_equal(jpeg.qt[0], qt.numpy()[0])
np.testing.assert_array_equal(jpeg.qt[1], qt.numpy()[1])
np.testing.assert_array_equal(jpeg.qt[1], qt.numpy()[2])
np.testing.assert_array_equal(
jpeg.Y,
Y.numpy()[0]
) # noqa: E501
np.testing.assert_array_equal( # noqa: E501
jpeg.Cb,
CbCr[0].numpy()
)
np.testing.assert_array_equal( # noqa: E501
jpeg.Cr,
CbCr[1].numpy()
)
try:
np.testing.assert_array_equal(
get_full_shape(jpeg.Y),
shape.numpy()[0]
)
np.testing.assert_array_equal(
get_full_shape(jpeg.Cb),
shape.numpy()[1]
)
np.testing.assert_array_equal(
get_full_shape(jpeg.Cr),
shape.numpy()[2]
)
np.testing.assert_array_equal(jpeg.qt[0], qt.numpy()[0])
np.testing.assert_array_equal(jpeg.qt[1], qt.numpy()[1])
np.testing.assert_array_equal(jpeg.qt[1], qt.numpy()[2])
np.testing.assert_array_equal(
jpeg.Y,
Y.numpy()[0]
) # noqa: E501
np.testing.assert_array_equal( # noqa: E501
jpeg.Cb,
CbCr[0].numpy()
)
np.testing.assert_array_equal( # noqa: E501
jpeg.Cr,
CbCr[1].numpy()
)
except RuntimeError as e:
logging.error(
f"torchjpeg failed: {e}"
)
return


def test_pil_qt(self):
"""Test the same QT is acquired from pillow."""
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