mmagic.datasets.transforms.gcp_unprocess

Module Contents

Functions

random_ccm()	Generates random RGB -> Camera color correction matrices.
random_gains([rgb_gain_ratio, red_gain_range, ...])	Generates random gains for brightening and white balance.
inverse_smoothstep(image)	Approximately inverts a global tone mapping curve.
gamma_expansion(image)	Converts from gamma to linear space.
apply_ccm(image, ccm)	Applies a color correction matrix.
safe_invert_gains(image, rgb_gain, red_gain, blue_gain)	Inverts gains while safely handling saturated pixels.
mosaic(image)	Extracts RGGB Bayer planes from an RGB image.
random_noise_levels_kpn()
add_noise(image[, shot_noise, read_noise, ...])	Adds random shot (proportional to image) and read (independent)
unprocess(image)	Unprocesses an image from sRGB to realistic raw data.
unprocess_gt(image)	Unprocesses an image from sRGB to realistic raw data.
unprocess_meta_gt(image, rgb_gains, red_gains, ...)	Unprocesses an image from sRGB to realistic raw data.
random_noise_levels()	Generates random noise levels from a log-log linear distribution.
add_noise_test(image[, shot_noise, read_noise, count])	Adds random shot (proportional to image) and read (independent)

mmagic.datasets.transforms.gcp_unprocess.random_ccm()

Generates random RGB -> Camera color correction matrices.

mmagic.datasets.transforms.gcp_unprocess.random_gains(rgb_gain_ratio=1.0, red_gain_range=[1.9, 2.4], blue_gain_range=[1.5, 1.9])

Generates random gains for brightening and white balance.

mmagic.datasets.transforms.gcp_unprocess.inverse_smoothstep(image)

Approximately inverts a global tone mapping curve.

mmagic.datasets.transforms.gcp_unprocess.gamma_expansion(image)

Converts from gamma to linear space.

mmagic.datasets.transforms.gcp_unprocess.apply_ccm(image, ccm)

Applies a color correction matrix.

mmagic.datasets.transforms.gcp_unprocess.safe_invert_gains(image, rgb_gain, red_gain, blue_gain)

Inverts gains while safely handling saturated pixels.

mmagic.datasets.transforms.gcp_unprocess.mosaic(image)

Extracts RGGB Bayer planes from an RGB image.

mmagic.datasets.transforms.gcp_unprocess.random_noise_levels_kpn()

mmagic.datasets.transforms.gcp_unprocess.add_noise(image, shot_noise=0.01, read_noise=0.0005, read_noise_exponent=2)

Adds random shot (proportional to image) and read (independent) noise.

mmagic.datasets.transforms.gcp_unprocess.unprocess(image)

Unprocesses an image from sRGB to realistic raw data.

mmagic.datasets.transforms.gcp_unprocess.unprocess_gt(image)

Unprocesses an image from sRGB to realistic raw data.

mmagic.datasets.transforms.gcp_unprocess.unprocess_meta_gt(image, rgb_gains, red_gains, blue_gains, rgb2cam, cam2rgb)

Unprocesses an image from sRGB to realistic raw data.

mmagic.datasets.transforms.gcp_unprocess.random_noise_levels()

Generates random noise levels from a log-log linear distribution.

mmagic.datasets.transforms.gcp_unprocess.add_noise_test(image, shot_noise=0.01, read_noise=0.0005, count=0)

Adds random shot (proportional to image) and read (independent) noise.