Suite of valid and invalid Cloud Optimized GeoTIFF for testing purposes
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')