Skip to main content

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

  1. python -m pip install GDAL
  2. python -m pip install tilechips

or

Clone to local directory

  1. git clone https://github.com/wslerry/tilechips.git
  2. cd tilechips
  3. python -m pip install GDAL
  4. python setup.py install

Example

from tilechips.tiles import IO

IO(input_image,output_directory,x_size,y_size,save_vrt=False)

Project details


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 details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tilechips-0.0.2-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file tilechips-0.0.2.tar.gz.

File metadata

  • Download URL: tilechips-0.0.2.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tilechips-0.0.2.tar.gz
Algorithm Hash digest
SHA256 23786c4dfd135cf13881a001419214b92b792fbd55a608c636bfd64e337ab7de
MD5 6ed96c5939f48cad5b3121c4716683ef
BLAKE2b-256 b8391f4108e6f3519de8e7b0299e562f1a0a25861af04ddd75edd4d1a1c43209

See more details on using hashes here.

File details

Details for the file tilechips-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: tilechips-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tilechips-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 52bb71568eba930fdbe985258c2c7efda5396ad27e32c80a305058046e330546
MD5 4e76ff3d068d0ba10fc7d79250f4a60d
BLAKE2b-256 17cc4b83fbf3a6e37f33c6cf0c467efd597c17e4d40f55c69d2654f041818643

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page