Visualization of the predictions of the network during training.
Project description
Animask
Animated (GIF) masks after each epoch.
Only semantic segmentation is supported.

Installation
First you need to install gifsicle:
$ sudo apt-get install gifsicle
Then install animask by pip or directly from repo:
$ pip install animask
or
$ pip install git+https://github.com/sankovalev/animask.git
Usage
from animask import Animask
# init object with the image that the mask will be predicted for
animated = Animask(image)
# === repeat this every epoch: ===
# train your model ...
# predict mask for image
# and then add to object as numpy array
animated.add(predicted_mask)
# === finish training ===
# save your gif
animated.save("path_to_file_here.gif")
By default, masks will be saved without a background. To apply masks over the original image, save it with flag:
animated.save("path_to_file_here.gif", with_background=True)
Additionally, you can configure mask titles, color or transparency and etc.
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file animask-0.0.1-py3-none-any.whl.
File metadata
- Download URL: animask-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
78cb8df33dd07c278922a7473ae0a1307ce3ba11be43df27e022651a0fb2ca43
|
|
| MD5 |
c4a7ce22fca3c44b3703383b5b38f9a5
|
|
| BLAKE2b-256 |
955c87bd4db675dd3240db7c868a9dfebc6137384a312c484e88f50f6b8caad6
|