ValueError: codec not available: 'imagecodecs_jpegxl'
Closed this issue · 1 comments
Karol-G commented
Hey,
I want to use JpegXl as compressor for a Zarr file:
from imagecodecs.numcodecs import JpegXl
import numpy as np
import zarr
image = np.ones((100, 100, 3))
image_zarr = zarr.open("image.zarr", shape=(100, 100, 3), compressor=JpegXl())
image_zarr[...] = imageHowever, I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[40], line 6
3 import zarr
5 image = np.ones((100, 100, 3))
----> 6 image_zarr = zarr.open("image.zarr", shape=(100, 100, 3), compressor=JpegXl())
7 image_zarr[...] = image
File /opt/conda/lib/python3.10/site-packages/zarr/convenience.py:112, in open(store, mode, zarr_version, path, **kwargs)
110 elif mode == "a":
111 if "shape" in kwargs or contains_array(_store, path):
--> 112 return open_array(_store, mode=mode, **kwargs)
113 else:
114 return open_group(_store, mode=mode, **kwargs)
File /opt/conda/lib/python3.10/site-packages/zarr/creation.py:608, in open_array(store, mode, shape, chunks, dtype, compressor, fill_value, order, synchronizer, filters, cache_metadata, cache_attrs, path, object_codec, chunk_store, storage_options, partial_decompress, write_empty_chunks, zarr_version, dimension_separator, **kwargs)
605 read_only = mode == 'r'
607 # instantiate array
--> 608 z = Array(store, read_only=read_only, synchronizer=synchronizer,
609 cache_metadata=cache_metadata, cache_attrs=cache_attrs, path=path,
610 chunk_store=chunk_store, write_empty_chunks=write_empty_chunks)
612 return z
File /opt/conda/lib/python3.10/site-packages/zarr/core.py:217, in Array.__init__(self, store, path, read_only, chunk_store, synchronizer, cache_metadata, cache_attrs, partial_decompress, write_empty_chunks, zarr_version, meta_array)
214 self._metadata_key_suffix = self._hierarchy_metadata['metadata_key_suffix']
216 # initialize metadata
--> 217 self._load_metadata()
219 # initialize attributes
220 akey = _prefix_to_attrs_key(self._store, self._key_prefix)
File /opt/conda/lib/python3.10/site-packages/zarr/core.py:234, in Array._load_metadata(self)
232 """(Re)load metadata from store."""
233 if self._synchronizer is None:
--> 234 self._load_metadata_nosync()
235 else:
236 mkey = _prefix_to_array_key(self._store, self._key_prefix)
File /opt/conda/lib/python3.10/site-packages/zarr/core.py:282, in Array._load_metadata_nosync(self)
280 self._compressor = None
281 elif self._version == 2:
--> 282 self._compressor = get_codec(compressor)
283 else:
284 self._compressor = compressor
File /opt/conda/lib/python3.10/site-packages/numcodecs/registry.py:52, in get_codec(config)
50 if cls:
51 return cls.from_config(config)
---> 52 raise ValueError('codec not available: %r' % codec_id)
ValueError: codec not available: 'imagecodecs_jpegxl'I am using version 2023.3.16 of imagecodecs and version 0.11.0 of numcodecs. What am I doing wrong?
Best,
Karol
cgohlke commented
This is a duplicate of #29. The error message is just different for the numcodecs codecs.
The JPEGXL codec is still not available in the conda-forge builds. See conda-forge/imagecodecs-feedstock#48.
Try to install the wheels from PyPI instead.
Also, register the codec with numcodecs like shown in the JPEG2K example:
imagecodecs/imagecodecs/imagecodecs.py
Lines 464 to 476 in 57ea74b