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https://github.com/saravanabalagi/imshowtools
View images in Jupyter notebooks in a much simpler and intuitive way. Ships with a better 'imshow' function with Smart Wrap and BGR support with 'cvshow'!
https://github.com/saravanabalagi/imshowtools
automatic-layout image-grid image-gridding image-layout images imshow imshowtools matplotlib-figures mulitple-images multiple-imageview opencv-image-viewer smart-wrap wrap-images
Last synced: 2 months ago
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View images in Jupyter notebooks in a much simpler and intuitive way. Ships with a better 'imshow' function with Smart Wrap and BGR support with 'cvshow'!
- Host: GitHub
- URL: https://github.com/saravanabalagi/imshowtools
- Owner: saravanabalagi
- License: mit
- Created: 2019-02-25T15:09:21.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-28T14:12:08.000Z (over 4 years ago)
- Last Synced: 2024-10-04T21:24:08.954Z (3 months ago)
- Topics: automatic-layout, image-grid, image-gridding, image-layout, images, imshow, imshowtools, matplotlib-figures, mulitple-images, multiple-imageview, opencv-image-viewer, smart-wrap, wrap-images
- Language: Jupyter Notebook
- Homepage: https://pypi.org/project/imshowtools/
- Size: 4 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# imshowtools
This library lets you view images in Jupyter notebooks in a much simpler and intuitive way. Ships with a better 'imshow' function with Multi Images, Smart Wrap and BGR support!.
## Installation
To install `imshowtools`, simply do
```py
pip install imshowtools
```
## Quick Plot
Import `imshow` from `imshowtools` and use it:
```py
from imshowtools import imshow
import tensorflow as tf
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
imshow(x_train[0])
imshow(x_train[0], x_train[1], x_train[2])
imshow(*x_train[:20], cmap='binary')
imshow(*x_train[:100], cmap='binary', size=(10, 10))
```
You can use any matplotlib compatible `cmap`
Example [ipynb](https://github.com/saravanabalagi/imshowtools/blob/master/example/example.ipynb) notebook and [Python](https://github.com/saravanabalagi/imshowtools/blob/master/example/example.py) along with test images
provided in the example folder.
## Get Numpy Image
You can use obtain numpy image in any of `['RGB', 'RGBA', 'ARGB', 'BW', 'L', "BGR", "BGRA", "ABGR"]` colorspaces.
```py
image = imshow(*x_train[:100], return_image=True)
image = imshow(*x_train[:100], return_image="RGBA")
image = imshow(*x_train[:100], return_image="RGB")
image = imshow(*x_train[:100], return_image="BW")
print(image.shape)
# cv2.imwrite("saved_sample.png", image)
# do stuff with 'image' or even
# imshow(image)
```
Output:
```py
(288, 432, 3)
(288, 432, 4)
(288, 432, 3)
(288, 432)
```
## Rows and Columns
```py
imshow(*x_train[:15], cmap='Purples', rows=1)
imshow(*x_train[:24], cmap='Greens', columns=4)
```
## Open CV Images
```py
lenna = cv2.imread('example/lenna.png')
imshow(lenna)
cvshow(lenna)
imshow(lenna, mode='BGR')
image = imshow(*[lenna for _ in range(12)], return_image="BW")
print(image.shape)
imshow(image)
```
## Namespaces
If you do not want to use `imshow` directly in your app (maybe you have another function named imshow), you shall use it like
```py
import imshowtools
imshowtools.imshow(your_image)
```
or if you like to use a custom namespace
```py
import imshowtools as my_namespace
my_namespace.imshow(your_image)
```
## Contributing
Pull requests are very welcome.
1. Fork the repo
1. Create new branch with feature name as branch name
1. Check if things work with a jupyter notebook
1. Raise a pull request
## Licence
Please see attached [Licence](https://github.com/saravanabalagi/imshowtools/blob/master/LICENCE)