mmagic.datasets.transforms.gcp_process

Module Contents

Functions

apply_gains_jdd(bayer_images, red_gains, blue_gains)	Applies white balance gains to a batch of Bayer images.
apply_ccms(images, ccms)	Applies color correction matrices.
gamma_compression(images[, gamma])	Converts from linear to gamma space.
process_train(bayer_images, red_gains, blue_gains, ...)	Processes a batch of Bayer RGGB images into sRGB images.
process(bayer_images, red_gains, blue_gains, cam2rgbs)	Processes a batch of Bayer RGGB images into sRGB images.
process_test(bayer_images, red_gains, blue_gains, cam2rgbs)	Processes a batch of Bayer RGGB images into sRGB images.
apply_gains(bayer_images, red_gains, blue_gains)	Applies white balance gains to a batch of Bayer images.
demosaic(bayer_images)
smoothstep(image)	Approximately inverts a global tone mapping curve.

mmagic.datasets.transforms.gcp_process.apply_gains_jdd(bayer_images, red_gains, blue_gains)

Applies white balance gains to a batch of Bayer images.

mmagic.datasets.transforms.gcp_process.apply_ccms(images, ccms)

Applies color correction matrices.

mmagic.datasets.transforms.gcp_process.gamma_compression(images, gamma=2.2)

Converts from linear to gamma space.

mmagic.datasets.transforms.gcp_process.process_train(bayer_images, red_gains, blue_gains, cam2rgbs)

Processes a batch of Bayer RGGB images into sRGB images.

mmagic.datasets.transforms.gcp_process.process(bayer_images, red_gains, blue_gains, cam2rgbs)

Processes a batch of Bayer RGGB images into sRGB images.

mmagic.datasets.transforms.gcp_process.process_test(bayer_images, red_gains, blue_gains, cam2rgbs)

Processes a batch of Bayer RGGB images into sRGB images.

mmagic.datasets.transforms.gcp_process.apply_gains(bayer_images, red_gains, blue_gains)

Applies white balance gains to a batch of Bayer images.

mmagic.datasets.transforms.gcp_process.demosaic(bayer_images)

mmagic.datasets.transforms.gcp_process.smoothstep(image)

Approximately inverts a global tone mapping curve.