Codync
무료 오픈소스 1:1 대안, Grok Bot과 Muse 대신
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Modern Bio-Formats wrapper with clean lazy Python API
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Modern Bio-Formats wrapper for python
https://imaging-formats.github.io/bffile/
pip install bffile
from bffile import BioFile
import numpy as np
with BioFile("tests/data/ND2_dims_p4z5t3c2y32x32.nd2") as bf:
# Access OME metadata
print(bf.ome_metadata) # ome_types.OME object
# Get lazy array for series 0 (no data loaded yet)
arr = bf.as_array(series=0)
print(arr.shape, arr.dtype) # (T, C, Z, Y, X) shape
# Index specific planes on-demand
plane = arr[0, 0, 2] # Only reads this plane
roi = arr[:, :, :, 100:200, 50:150] # Sub-regions
# Materialize all data when needed
full_data = np.array(arr)
# Or use dask for lazy computation
darr = bf.to_dask(series=0, chunks="auto")
result = darr.mean(axis=2).compute()
For simple cases, use imread() to load a single series/resolution into memory:
from bffile import imread
# Read series0/resolution0 into numpy array
# series and resolution parameters are optional and default to 0
data = imread("image.nd2", series=0, resolution=0)
print(data.shape, data.dtype) # (T, C, Z, Y, X) array
Bio-Formats is downloaded at runtime (via jgo).
By default, it will download the latest ome:formats-gpl:RELEASE maven artifact.
You can specify a different version by setting the BIOFORMATS_VERSION environment variable:
This variable accepts either a simple version string (e.g. 6.0.1) or a full maven coordinate
(e.g. ome:formats-gpl:6.0.1 or ome:formats-bsd:7.3.1):
# Use Bio-Formats 6.0.1 (GPL-licensed)
export BIOFORMATS_VERSION="6.0.1"
# Use BSD-licensed Bio-Formats 7.3.1
export BIOFORMATS_VERSION="ome:formats-bsd:7.3.1"
To see the currently installed version of Bio-Formats, you can check the
BioFile.bioformats_version static method:
from bffile import BioFile
print(BioFile.bioformats_version()) # e.g. "8.1.1"
and to see the full maven coordinate that was used:
from bffile import BioFile
print(BioFile.bioformats_maven_coordinate()) # e.g. "ome:formats-gpl:8.1.1"
[!NOTE] We test back to version 6.0.1, but older versions may also work. If you specifically need this code to work with an older version of bioformats, please open an issue.
[!TIP] No manual Java installation required!
This package automatically downloads and manages the Java runtime using cjdk (via scyjava).
By default, scyjava uses Zulu JRE 11 (defined here). You can configure the Java version and/or vendor using environment variables:
# Use Adoptium JDK 17
export BFF_JAVA_VERSION=17
export BFF_JAVA_VENDOR=adoptium
# Use Temurin JDK 21
export BFF_JAVA_VERSION=21
export BFF_JAVA_VENDOR=temurin
Available vendors: zulu-jre, zulu, adoptium, temurin, and
other vendors listed in cjdk
Bffile is not currently expected to work with Java 8, as jpype has
deprecated support for Java 8 as of jpype version 1.6. If you do want to try
with Java 8, you will minimally need to explicitly pin jpype<1.6. If this is
an important use case for you, please open an issue to discuss Java 8 support.
Licensing is a bit complicated for this project, so please read carefully.
bffile repository is licensed under the BSD-3-Clause
License. You may use and distribute this code under the
terms of the BSD-3-Clause License.bffile from PyPI will, by default, end up with
Java jars that are licensed under the GPL-2.0 License (read below). As such,
this package is listed on PyPI as GPL-2.0-or-later.When you run bffile for the first time, it will automatically download a number
of Java jars (via jgo), each of which has its
own license. By default, bffile downloads the
ome:formats-gpl:RELEASE
maven artifact.
ome:formats-gpl is licensed under the GPLv2+
LicenseIf you would like to use bffile without any GPL-licensed jars, you can instead
opt into using
ome:formats-bsd by
setting the BIOFORMATS_VERSION environment variable:
BIOFORMATS_VERSION="ome:formats-bsd"
ome:formats-bsd is licensed under the BSD-2-Clause
LicenseIf you need a package that defaults to BSD-licensed jars (and ships as
BSD-3 on PyPI), open an issue to discuss a bffile-bsd variant.