def output_picture(picture, video_parameters, picture_coding_mode):
file_format.write(
picture,
video_parameters,
picture_coding_mode,
os.path.join(
model_answer_directory,
"picture_{}.raw".format(index[0]),
),
)
index[0] += 1
def _output_picture(self, picture, video_parameters, picture_coding_mode):
filename = self._output_filename % (self._next_picture_index, )
self._next_picture_index += 1
write(
picture,
video_parameters,
picture_coding_mode,
filename,
)
if self._show_status:
self._update_status_line(
"Decoded picture written to {}".format(filename))
def test_read_and_write_convenience_functions(picture, video_parameters,
picture_coding_mode, tmp_path):
filename = os.path.join(str(tmp_path), "test_file.xxx")
write(picture, video_parameters, picture_coding_mode, filename)
# Correct files created
assert set(os.listdir(str(tmp_path))) == set(
["test_file.raw", "test_file.json"])
# Round-trip works
assert read(filename) == (
picture,
video_parameters,
picture_coding_mode,
)
def test_video_range(self, video_parameters, tmpdir):
video_parameters[
"color_diff_format_index"
] = ColorDifferenceSamplingFormats.color_4_4_4
video_parameters["luma_offset"] = 16
video_parameters["luma_excursion"] = 219
video_parameters["color_diff_offset"] = 128
video_parameters["color_diff_excursion"] = 224
deltas = {
"Y": np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 1, 0, 0], [1, 0, 0, 0]]),
"C1": np.array([[1, 1, 1, 0], [1, 1, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0]]),
"C2": np.array([[1, 1, 0, 0], [1, 1, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0]]),
}
mask = generate_difference_mask_picture(deltas, video_parameters, 100)
write(
mask,
video_parameters,
PictureCodingModes.pictures_are_frames,
str(tmpdir.join("out.raw")),
)
assert mask["Y"].tolist() == [
[235, 235, 235, 16],
[235, 235, 16, 235],
[16, 235, 16, 235],
[235, 16, 235, 16],
]
assert mask["C1"].tolist() == [
[128, 128, 128, 128],
[128, 128, 128, 128],
[128, 128, 128, 128],
[128, 128, 128, 128],
]
assert mask["C2"].tolist() == [
[128, 128, 128, 128],
[128, 128, 128, 128],
[128, 128, 128, 128],
[128, 128, 128, 128],
]
assert mask["pic_num"] == 100
def output_encoder_test_case(output_dir, codec_features, test_case):
"""
Write an encoder test case to disk.
Parameters
==========
output_dir : str
Output directory to write test cases to.
codec_features : :py:class:`~vc2_conformance.codec_features.CodecFeatures`
test_case : :py:class:`~vc2_conformance.test_cases.TestCase`
"""
# Write raw pictures
for i, picture in enumerate(test_case.value.pictures):
picture_directory = os.path.join(
output_dir,
test_case.name,
)
makedirs(picture_directory, exist_ok=True)
file_format.write(
picture,
test_case.value.video_parameters,
test_case.value.picture_coding_mode,
os.path.join(
picture_directory,
"picture_{}.raw".format(i),
),
)
# Write metadata
if test_case.metadata is not None:
with open(
os.path.join(
output_dir,
"{}_metadata.json".format(test_case.name),
),
"w",
) as f:
json.dump(test_case.metadata, f)
logging.info(
"Generated encoder test case %s for %s",
test_case.name,
codec_features["name"],
)
def test_rgb(self, video_parameters, tmpdir):
video_parameters[
"color_diff_format_index"
] = ColorDifferenceSamplingFormats.color_4_4_4
video_parameters["color_matrix_index"] = PresetColorMatrices.rgb
video_parameters["luma_offset"] = 0
video_parameters["color_diff_offset"] = 0
deltas = {
"Y": np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 1, 0, 0], [1, 0, 0, 0]]),
"C1": np.array([[1, 1, 1, 0], [1, 1, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0]]),
"C2": np.array([[1, 1, 0, 0], [1, 1, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0]]),
}
mask = generate_difference_mask_picture(deltas, video_parameters, 100)
write(
mask,
video_parameters,
PictureCodingModes.pictures_are_frames,
str(tmpdir.join("out.raw")),
)
assert mask["Y"].tolist() == [
[1023, 1023, 1023, 0],
[1023, 1023, 0, 1023],
[0, 1023, 0, 1023],
[1023, 0, 1023, 0],
]
assert mask["C1"].tolist() == [
[1023, 1023, 1023, 0],
[1023, 1023, 0, 1023],
[0, 1023, 0, 1023],
[1023, 0, 1023, 0],
]
assert mask["C2"].tolist() == [
[1023, 1023, 1023, 0],
[1023, 1023, 0, 1023],
[0, 1023, 0, 1023],
[1023, 0, 1023, 0],
]
assert mask["pic_num"] == 100
def write_pictures_to_dir(
picture_generator,
video_parameters,
picture_coding_mode,
dirname,
):
"""
Take a set of pictures generated by ``picture_generator`` and write
them as raw images to the specified directory.
"""
for i, picture in enumerate(picture_generator):
write(
picture,
video_parameters,
picture_coding_mode,
os.path.join(
dirname,
"picture_{}.raw".format(i),
),
)
def generate_picture(
filename,
pixel_values=0,
picture_number=0,
bit_width=10,
luma_bit_width=None,
color_diff_bit_width=None,
picture_coding_mode=PictureCodingModes.pictures_are_fields,
width=8,
height=4,
):
"""
Generate a 4:2:0 color subsampled raw picture with the specified file name.
Parameters
==========
filename : str
Filename to write the raw picture to.
pixel_values : int or (2D-array, 2D-array, 2D-array)
If an integer, a ``width`` x ``height`` picture with all pixel values
set to that value will be generated.
If a set of three 2D arrays, uses these for the picture. The second and
third arrays must be exactly half the width and height of the first.
picture_number: int
The VC-2 picture number.
bit_width : int
Bit depth for pixel values.
luma_bit_width : int
Bit depth for luma pixel values (overrides bit_width).
color_diff_bit_width : int
Bit depth for color difference pixel values (overrides bit_width).
picture_coding_mode : :py:class:`~vc2_data_tables.PictureCodingModes`
The picture coding mode to use.
width, height : int
The dimensions of the picture to generate (not the frame dimensions).
Ignored if pixel_values is given.
"""
if isinstance(pixel_values, int):
pixel_values = (
np.full((height, width), pixel_values, dtype=np.int64),
np.full((height // 2, width // 2), pixel_values, dtype=np.int64),
np.full((height // 2, width // 2), pixel_values, dtype=np.int64),
)
else:
pixel_values = (
np.array(pixel_values[0]),
np.array(pixel_values[1]),
np.array(pixel_values[2]),
)
height, width = pixel_values[0].shape
assert pixel_values[1].shape == (height // 2, width // 2)
assert pixel_values[2].shape == (height // 2, width // 2)
if luma_bit_width is None:
luma_bit_width = bit_width
if color_diff_bit_width is None:
color_diff_bit_width = bit_width
if picture_coding_mode == PictureCodingModes.pictures_are_fields:
height *= 2
video_parameters = VideoParameters(
frame_width=width,
frame_height=height,
color_diff_format_index=ColorDifferenceSamplingFormats.color_4_2_0,
source_sampling=SourceSamplingModes.progressive,
top_field_first=True,
frame_rate_numer=1,
frame_rate_denom=1,
pixel_aspect_ratio_numer=1,
pixel_aspect_ratio_denom=1,
clean_width=width,
clean_height=height,
left_offset=0,
top_offset=0,
luma_offset=0,
luma_excursion=(1 << luma_bit_width) - 1,
color_diff_offset=1 << (color_diff_bit_width - 1),
color_diff_excursion=(1 << color_diff_bit_width) - 1,
color_primaries_index=PresetColorPrimaries.hdtv,
color_matrix_index=PresetColorMatrices.hdtv,
transfer_function_index=PresetTransferFunctions.tv_gamma,
)
picture = {
"Y": pixel_values[0],
"C1": pixel_values[1],
"C2": pixel_values[2],
"pic_num": picture_number,
}
write(picture, video_parameters, picture_coding_mode, filename)
def compare_pictures(filename_a, filename_b, difference_mask_filename=None):
"""
Compare a pair of pictures.
Returns a string describing the differences
between the pictures (if any) and integer return code which is non-zero iff
the pictures differ.
If a difference_mask filename is given, writes a difference mask to that
file.
"""
out = ""
(
(picture_a, video_parameters_a, picture_coding_mode_a),
(picture_b, video_parameters_b, picture_coding_mode_b),
byte_for_byte_identical,
) = read_pictures_with_only_one_metadata_file_required(
filename_a, filename_b)
if video_parameters_a != video_parameters_b:
out += "Video parameters are different:\n"
out += indent(
video_parameter_diff(video_parameters_a, video_parameters_b))
out += "\n"
return (out.rstrip(), 1)
if picture_coding_mode_a != picture_coding_mode_b:
out += "Picture coding modes are different:\n"
out += indent(
picture_coding_mode_diff(picture_coding_mode_a,
picture_coding_mode_b))
out += "\n"
return (out.rstrip(), 2)
if picture_a["pic_num"] != picture_b["pic_num"]:
out += "Picture numbers are different:\n"
out += indent(
picture_number_diff(picture_a["pic_num"], picture_b["pic_num"]))
out += "\n"
return (out.rstrip(), 3)
deltas = OrderedDict((
c,
# NB: Convert pictures into Numpy arrays (for easier comparison)
# using object mode (to ensure unlimited integer precision)
np.array(picture_b[c], dtype=object) -
np.array(picture_a[c], dtype=object),
) for c in ["Y", "C1", "C2"])
identical, differences = measure_differences(deltas, video_parameters_a,
picture_coding_mode_a)
if identical:
if not byte_for_byte_identical:
out += ("Warning: Padding bits in raw picture data are different "
"(is file endianness correct?)\n")
out += "Pictures are identical\n"
else:
out += "Pictures are different:\n"
out += indent(differences)
out += "\n"
# Write difference mask, as required
if difference_mask_filename is not None:
mask = generate_difference_mask_picture(
deltas,
video_parameters_a,
picture_number=picture_a["pic_num"],
)
write(mask, video_parameters_a, picture_coding_mode_a,
difference_mask_filename)
return (out.rstrip(), 0 if identical else 4)
frame_height=height,
color_diff_format_index=ColorDifferenceSamplingFormats.color_4_4_4,
source_sampling=SourceSamplingModes.progressive,
top_field_first=True,
frame_rate_numer=1,
frame_rate_denom=1,
pixel_aspect_ratio_numer=1,
pixel_aspect_ratio_denom=1,
clean_width=width,
clean_height=height,
left_offset=0,
top_offset=0,
luma_offset=0,
luma_excursion=(1 << picture_bit_width) - 1,
color_diff_offset=0,
color_diff_excursion=(1 << picture_bit_width) - 1,
# XXX: This may/may not match the supplied image's actual colour model...
color_primaries_index=PresetColorPrimaries.hdtv,
color_matrix_index=PresetColorMatrices.rgb,
transfer_function_index=PresetTransferFunctions.tv_gamma,
)
picture_coding_mode = PictureCodingModes.pictures_are_frames
file_format.write(
picture,
video_parameters,
picture_coding_mode,
args.output_filename,
)