Skip to content
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

Jump to bottom

Add documentation for 'subset' and interpolation' arguments (ImageDataGenerator) #9817

Merged
merged 2 commits into from Apr 3, 2018
Merged

Add documentation for 'subset' and interpolation' arguments (ImageDataGenerator) #9817

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
acb101c
Add documentation for 'subset' argument (flow and flow_from_directory…
Apr 1, 2018
e07e451
Fix style for 'flow' and 'flow_from_directory' ImageDataGenerator met…
Apr 2, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
10 changes: 10 additions & 0 deletions keras/preprocessing/image.py
View file
Open in desktop
Expand Up @@ -680,6 +680,8 @@ def flow(self, x, y=None, batch_size=32, shuffle=True, seed=None,
save_prefix: str (default: `''`). Prefix to use for filenames of saved pictures
(only relevant if `save_to_dir` is set).
save_format: one of "png", "jpeg" (only relevant if `save_to_dir` is set). Default: "png".
subset: Subset of data (`"training"` or `"validation"`) if
`validation_split` is set in `ImageDataGenerator`.

# Returns
An Iterator yielding tuples of `(x, y)` where `x` is a numpy array of image data and
Expand Down Expand Up @@ -739,6 +741,14 @@ def flow_from_directory(self, directory,
save_prefix: str. Prefix to use for filenames of saved pictures (only relevant if `save_to_dir` is set).
save_format: one of "png", "jpeg" (only relevant if `save_to_dir` is set). Default: "png".
follow_links: whether to follow symlinks inside class subdirectories (default: False).
subset: Subset of data (`"training"` or `"validation"`) if
`validation_split` is set in `ImageDataGenerator`.
interpolation: Interpolation method used to resample the image if the
target size is different from that of the loaded image.
Supported methods are `"nearest"`, `"bilinear"`, and `"bicubic"`.
If PIL version 1.1.3 or newer is installed, `"lanczos"` is also
supported. If PIL version 3.4.0 or newer is installed, `"box"` and
`"hamming"` are also supported. By default, `"nearest"` is used.

# Returns
A DirectoryIterator yielding tuples of `(x, y)` where `x` is a numpy array of image data and
Expand Down