Metadata-Version: 2.1
Name: tilechips
Version: 0.0.2
Summary: A python package to create raster tiles for deep learning training image chips
Home-page: https://github.com/wslerry/tilechips
Author: Lerry William
Author-email: lerryws.xyz@outlook.com
License: BSD
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
        ```python
        from tilechips.tiles import IO
        
        IO(input_image,output_directory,x_size,y_size,save_vrt=False)
        
        ```
Keywords: raster gdal
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: GIS
Description-Content-Type: text/markdown
