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cog-fixtures

Suite of valid and invalid Cloud Optimized GeoTIFF for testing purposes

Usage

The library can be used to create "fake" COGs for testing purposes. Images are created in memory using GDAL's vsimem filesystem.

from cog_fixtures.cog import FakeImage, FakeCog

from rio_cogeo.profiles import JPEGProfile
from rasterio.transform import from_origin
from rasterio.crs import CRS

with FakeImage(
    driver="GTiff",
    width=512,
    height=512,
    count=3,
    dtype="uint8",
    crs=CRS.from_epsg(3857),
    transform=from_origin(1470996, 6914001, 2.0, 2.0)
) as img:
    with FakeCog(
        src_img=img,
        dst_kwargs=JPEGProfile(),
        quiet=True
    ) as cog:
        print(cog)


>>> FakeCog(src_img=FakeImage(driver='GTiff', width=512, height=512, count=3, dtype='uint8', crs=CRS.from_epsg(3857), transform=Affine(2.0, 0.0, 1470996.0,
       0.0, -2.0, 6914001.0), nodata=-1.0), dst_kwargs={'driver': 'GTiff', 'interleave': 'pixel', 'tiled': True, 'blockxsize': 512, 'blockysize': 512, 'compress': 'JPEG', 'photometric': 'YCbCr'}, indexes=None, nodata=None, dtype=None, add_mask=False, overview_level=None, overview_resampling='nearest', web_optimized=False, latitude_adjustment=True, resampling='nearest', config=None, allow_intermediate_compression=False, forward_band_tags=False, quiet=True, temporary_compression='DEFLATE')