A python package to create raster tiles for deep learning training image chips
Project description
tilechips
A very simple package to generate tiles for geographic raster data, build to help user to prepare datasets for deep learning training and annotation.
tilechips require GDAL to operate.
Please use composite geographic raster (RGB of band combination).
Requirements
- GDAL
- tqdm
Installation
PIP
python -m pip install GDAL
python -m pip install tilechips
or
Clone to local directory
git clone https://github.com/wslerry/tilechips.git
cd tilechips
python -m pip install GDAL
python setup.py install
Example
from tilechips.tiles import IO
IO(input_image,output_directory,x_size,y_size,save_vrt=False)
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
tilechips-0.0.2.tar.gz
(2.9 kB
view hashes)
Built Distribution
Close
Hashes for tilechips-0.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 52bb71568eba930fdbe985258c2c7efda5396ad27e32c80a305058046e330546 |
|
MD5 | 4e76ff3d068d0ba10fc7d79250f4a60d |
|
BLAKE2b-256 | 17cc4b83fbf3a6e37f33c6cf0c467efd597c17e4d40f55c69d2654f041818643 |