convenience wrapper for libtiff
Project description
Why?
Compared to PIL and some other tiff related projects, this package is more for scientific imaging.
Features exposed from libtiff:
responds to
pixel bit depth
number of channels
compression scheme
sequential and random access to frames in multi-frame tiff
query length of multi-frame tiff
Open
from tiffreader import TiffReader
tif = TiffReader.open("file_path.tif")
Random Access
tif.seek(10)
frame = tif.read_current() # gives a 2D numpy array
is equivalent to
frame = tif[10]
Sequential Access
example for an average image of the 10th to 20th frames:
tif.seek(10)
result = np.zeros(tif.shape, dtype=np.uint64)
for frame in zip(tif, range(10)):
result += frame
result /= 10
Additionally
from tiffreader import save_tiff
array = np.array([[1, 2, 3, 4], [5, 6, 7, 8]], dtype=np.uint8)
save_tiff(array, "tif_path.tif")
tif.length # length of multi-frame tiff stack
tif.shape # shape of one frame
tiffinfo("tif_path.tif", ["width", "height"]) # wraps tiffinfo to query for additional tags
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tiffreader-0.1.1.tar.gz
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