Skip to content

add illumination augmentation #227

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
zsdonghao merged 2 commits into from
Nov 3, 2017
Merged

add illumination augmentation #227

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
04773c2
add illumination augmentation
yzwxx Nov 3, 2017
8f6481b
Update prepro.py
yzwxx Nov 3, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
43 changes: 43 additions & 0 deletions tensorlayer/prepro.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1722,7 +1722,50 @@ def body(central_x, i):
return result


def illumination(x, gamma = 1, contrast=1, saturation=1, is_random=False):
"""perform illumination augmentation for a single image, randomly or non-randomly.

Parameters
-----------
x : numpy array
an image with dimension of [row, col, channel] (default).
gamma : change brightness
contrast : change contrast
saturation : change saturation
is_random : whether the parameters are randomly set
"""
from PIL import Image, ImageEnhance

if is_random:
## random change brightness # small --> brighter
illum_settings = np.random.randint(0,3) # 0-brighter, 1-darker, 2 keep normal

if illum_settings == 0: # brighter
gamma = np.random.uniform(.5, 1.0)
elif illum_settings == 1: # darker
gamma = np.random.uniform(1.0, 5.0)
else:
gamma = 1
im_ = brightness(x, gamma=gamma, gain=1, is_random=False)

# print("using contrast and saturation")
image = Image.fromarray(im_) # array -> PIL
contrast_adjust = ImageEnhance.Contrast(image)
image = contrast_adjust.enhance(np.random.uniform(0.3,0.9))

saturation_adjust = ImageEnhance.Color(image)
image = saturation_adjust.enhance(np.random.uniform(0.7,1.0))
im_ = np.array(image) # PIL -> array
else:
im_ = brightness(im_, gamma=gamma, gain=1, is_random=False)
Copy link
Member

@JingqingZ JingqingZ Nov 3, 2017 •
edited
Loading

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

im_ in the param of brightness() should be x
@zsdonghao @yzwxx

image = Image.fromarray(im_) # array -> PIL
contrast_adjust = ImageEnhance.Contrast(image)
image = contrast_adjust.enhance(contrast)

saturation_adjust = ImageEnhance.Color(image)
image = saturation_adjust.enhance(saturation)
im_ = np.array(image) # PIL -> array
return np.asarray(im_)



Expand Down