A Python library including support for Deep Learning models built using the Keras framework.
Project description
A Computer Vision library in Python with powerful image processing operations, including support for Deep Learning models built using the Keras framework
Installation
To install the current release:
$ pip install canaro
Optionally, Canaro can also install caer if you install it with pip install canaro[caer]
Installing from Source
First, clone the repo on your machine and then install with pip
:
git clone https://github.com/jasmcaus/canaro.git
cd canaro
pip install -e .
You can run the following to verify things installed correctly:
import canaro
print(f'Canaro version {canaro.__version__}')
Resources
- Homepage: https://github.com/jasmcaus/canaro/
- Docs: https://github.com/jasmcaus/canaro/blob/master/DOCS.md
- Issue tracking: https://github.com/jasmcaus/canaro/issues
All Canaro wheels on PyPi are MIT-licensed
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 Distribution
canaro-1.1.0.tar.gz
(14.8 kB
view details)
Built Distribution
canaro-1.1.0-py3-none-any.whl
(19.8 kB
view details)
File details
Details for the file canaro-1.1.0.tar.gz
.
File metadata
- Download URL: canaro-1.1.0.tar.gz
- Upload date:
- Size: 14.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.25.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 768d59267a195fd46417d9641d948afd98d14c3354393779407838271ba1d2ed |
|
MD5 | 18d703255ecad5c65650bb083990d738 |
|
BLAKE2b-256 | 83f011fe56bcb818ddd7fe6fae86b1493973566fa65dbc288ee6b85b2f882d7f |
File details
Details for the file canaro-1.1.0-py3-none-any.whl
.
File metadata
- Download URL: canaro-1.1.0-py3-none-any.whl
- Upload date:
- Size: 19.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.25.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8d165b30e734e8b35c014a0d12ca756a5ff21d586381d9469c483cf12cf1060d |
|
MD5 | 7510267844e8d7658880056e67d4f9c0 |
|
BLAKE2b-256 | 255f6e91dff59341333c780bd503590fccfa5482e16af66c16b965d8042522a6 |