mirror of
https://github.com/immich-app/immich.git
synced 2024-11-15 18:08:48 -07:00
bcc36d14a1
* consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
4697 lines
452 KiB
TOML
4697 lines
452 KiB
TOML
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.2.0"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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name = "configargparse"
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name = "contourpy"
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[[package]]
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[[package]]
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name = "fsspec"
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description = "File-system specification"
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python-versions = ">=3.8"
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aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
|
|
requests = {version = "*", optional = true, markers = "extra == \"http\""}
|
|
|
|
[package.extras]
|
|
abfs = ["adlfs"]
|
|
adl = ["adlfs"]
|
|
arrow = ["pyarrow (>=1)"]
|
|
dask = ["dask", "distributed"]
|
|
devel = ["pytest", "pytest-cov"]
|
|
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
|
|
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
|
|
fuse = ["fusepy"]
|
|
gcs = ["gcsfs"]
|
|
git = ["pygit2"]
|
|
github = ["requests"]
|
|
gs = ["gcsfs"]
|
|
gui = ["panel"]
|
|
hdfs = ["pyarrow (>=1)"]
|
|
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
|
|
libarchive = ["libarchive-c"]
|
|
oci = ["ocifs"]
|
|
s3 = ["s3fs"]
|
|
sftp = ["paramiko"]
|
|
smb = ["smbprotocol"]
|
|
ssh = ["paramiko"]
|
|
tqdm = ["tqdm"]
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|
|
|
[[package]]
|
|
name = "ftfy"
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|
version = "6.1.1"
|
|
description = "Fixes mojibake and other problems with Unicode, after the fact"
|
|
optional = false
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|
python-versions = ">=3.7,<4"
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|
files = [
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{file = "ftfy-6.1.1-py3-none-any.whl", hash = "sha256:0ffd33fce16b54cccaec78d6ec73d95ad370e5df5a25255c8966a6147bd667ca"},
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{file = "ftfy-6.1.1.tar.gz", hash = "sha256:bfc2019f84fcd851419152320a6375604a0f1459c281b5b199b2cd0d2e727f8f"},
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]
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[package.dependencies]
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|
wcwidth = ">=0.2.5"
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|
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|
[[package]]
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|
name = "gevent"
|
|
version = "23.7.0"
|
|
description = "Coroutine-based network library"
|
|
optional = false
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|
python-versions = ">=3.8"
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|
files = [
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[package.dependencies]
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|
cffi = {version = ">=1.12.2", markers = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\""}
|
|
greenlet = [
|
|
{version = ">=2.0.0", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.12\""},
|
|
{version = ">=3.0a1", markers = "platform_python_implementation == \"CPython\" and python_version >= \"3.12\""},
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]
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"zope.event" = "*"
|
|
"zope.interface" = "*"
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|
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|
[package.extras]
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|
dnspython = ["dnspython (>=1.16.0,<2.0)", "idna"]
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|
docs = ["furo", "repoze.sphinx.autointerface", "sphinx", "sphinxcontrib-programoutput", "zope.schema"]
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|
monitor = ["psutil (>=5.7.0)"]
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|
recommended = ["cffi (>=1.12.2)", "dnspython (>=1.16.0,<2.0)", "idna", "psutil (>=5.7.0)"]
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|
test = ["cffi (>=1.12.2)", "coverage (>=5.0)", "dnspython (>=1.16.0,<2.0)", "idna", "objgraph", "psutil (>=5.7.0)", "requests", "setuptools"]
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|
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|
[[package]]
|
|
name = "geventhttpclient"
|
|
version = "2.0.10"
|
|
description = "http client library for gevent"
|
|
optional = false
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|
python-versions = "*"
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|
files = [
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]
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[package.dependencies]
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brotli = "*"
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certifi = "*"
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gevent = ">=0.13"
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six = "*"
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[[package]]
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name = "greenlet"
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version = "2.0.2"
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description = "Lightweight in-process concurrent programming"
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optional = false
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python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
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[package.extras]
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docs = ["Sphinx", "docutils (<0.18)"]
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test = ["objgraph", "psutil"]
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[[package]]
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name = "greenlet"
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version = "3.0.0a1"
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description = "Lightweight in-process concurrent programming"
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optional = false
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python-versions = ">=3.7"
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|
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[[package]]
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|
name = "idna"
|
|
version = "3.4"
|
|
description = "Internationalized Domain Names in Applications (IDNA)"
|
|
optional = false
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|
python-versions = ">=3.5"
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|
files = [
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{file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
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{file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
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]
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[[package]]
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|
name = "imageio"
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|
version = "2.31.2"
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|
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
|
|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{file = "imageio-2.31.2-py3-none-any.whl", hash = "sha256:a78fbcb33432042a4d6993c87f3ea1f136d908318ce7dda857846ccff73294de"},
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{file = "imageio-2.31.2.tar.gz", hash = "sha256:ae19221f4a8f118f1c9451e8f5357faeeacdf956198cf374bc8ab00f1ff7d525"},
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]
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[package.dependencies]
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|
numpy = "*"
|
|
pillow = ">=8.3.2"
|
|
|
|
[package.extras]
|
|
all-plugins = ["astropy", "av", "imageio-ffmpeg", "psutil", "tifffile"]
|
|
all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
|
|
build = ["wheel"]
|
|
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
|
|
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
|
|
ffmpeg = ["imageio-ffmpeg", "psutil"]
|
|
fits = ["astropy"]
|
|
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
|
|
gdal = ["gdal"]
|
|
itk = ["itk"]
|
|
linting = ["black", "flake8"]
|
|
pyav = ["av"]
|
|
test = ["fsspec[github]", "pytest", "pytest-cov"]
|
|
tifffile = ["tifffile"]
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|
|
|
[[package]]
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|
name = "iniconfig"
|
|
version = "2.0.0"
|
|
description = "brain-dead simple config-ini parsing"
|
|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
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{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
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]
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[[package]]
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|
name = "insightface"
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|
version = "0.7.3"
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|
description = "InsightFace Python Library"
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|
optional = false
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|
python-versions = "*"
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|
files = [
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{file = "insightface-0.7.3.tar.gz", hash = "sha256:f191f719612ebb37018f41936814500544cd0f86e6fcd676c023f354c668ddf7"},
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]
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[package.dependencies]
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albumentations = "*"
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cython = "*"
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|
easydict = "*"
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|
matplotlib = "*"
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|
numpy = "*"
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|
onnx = "*"
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|
Pillow = "*"
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|
prettytable = "*"
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|
requests = "*"
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|
scikit-image = "*"
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|
scikit-learn = "*"
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|
scipy = "*"
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|
tqdm = "*"
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|
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[[package]]
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|
name = "itsdangerous"
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|
version = "2.1.2"
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|
description = "Safely pass data to untrusted environments and back."
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|
optional = false
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|
python-versions = ">=3.7"
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files = [
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{file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
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[[package]]
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|
name = "jinja2"
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|
version = "3.1.2"
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|
description = "A very fast and expressive template engine."
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|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
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]
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[package.dependencies]
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|
MarkupSafe = ">=2.0"
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|
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|
[package.extras]
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|
i18n = ["Babel (>=2.7)"]
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|
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[[package]]
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|
name = "joblib"
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|
version = "1.3.2"
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|
description = "Lightweight pipelining with Python functions"
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|
optional = false
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|
python-versions = ">=3.7"
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files = [
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{file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
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[[package]]
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name = "kiwisolver"
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version = "1.4.5"
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description = "A fast implementation of the Cassowary constraint solver"
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optional = false
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python-versions = ">=3.7"
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files = [
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[[package]]
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name = "multidict"
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version = "6.0.4"
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description = "multidict implementation"
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optional = false
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python-versions = ">=3.7"
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torch = ">=1.9.0"
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torchvision = "*"
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tqdm = "*"
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[package.extras]
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training = ["braceexpand", "fsspec", "ftfy", "huggingface-hub", "pandas", "regex", "timm", "torch (>=1.9.0)", "torchvision", "tqdm", "transformers", "webdataset (>=0.2.5)"]
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[[package]]
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name = "opencv-python-headless"
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version = "4.8.0.76"
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description = "Wrapper package for OpenCV python bindings."
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[package.dependencies]
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numpy = [
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{version = ">=1.21.2", markers = "python_version >= \"3.10\""},
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{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
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name = "optimum"
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version = "1.12.0"
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description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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[package.dependencies]
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coloredlogs = "*"
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datasets = "*"
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huggingface-hub = ">=0.8.0"
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numpy = "*"
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packaging = "*"
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sympy = "*"
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torch = ">=1.9"
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transformers = {version = ">=4.26.0", extras = ["sentencepiece"]}
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[package.extras]
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benchmark = ["evaluate (>=0.2.0)", "optuna", "scikit-learn", "seqeval", "torchvision", "tqdm"]
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dev = ["Pillow", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "ruff (>=0.0.241,<=0.0.259)", "sacremoses", "torchaudio", "torchvision"]
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diffusers = ["diffusers"]
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doc-build = ["accelerate"]
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exporters = ["onnx", "onnxruntime", "timm"]
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exporters-gpu = ["onnx", "onnxruntime-gpu", "timm"]
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exporters-tf = ["h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>=2.4,<=2.12.1)", "tf2onnx", "timm"]
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furiosa = ["optimum-furiosa"]
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graphcore = ["optimum-graphcore"]
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habana = ["optimum-habana"]
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intel = ["optimum-intel (>=1.10.1)"]
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neural-compressor = ["optimum-intel[neural-compressor] (>=1.9.2)"]
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neuron = ["optimum-neuron[neuron]"]
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neuronx = ["optimum-neuron[neuronx]"]
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nncf = ["optimum-intel[nncf] (>=1.10.1)"]
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onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.11.0)", "protobuf (>=3.20.1)"]
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onnxruntime-gpu = ["accelerate", "datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime-gpu (>=1.11.0)", "protobuf (>=3.20.1)"]
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openvino = ["optimum-intel[openvino] (>=1.10.1)"]
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quality = ["black (>=23.1,<24.0)", "ruff (>=0.0.241,<=0.0.259)"]
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tests = ["Pillow", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "sacremoses", "torchaudio", "torchvision"]
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[[package]]
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name = "orjson"
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[package.dependencies]
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cffi = {version = "*", markers = "implementation_name == \"pypy\""}
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[[package]]
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name = "qudida"
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version = "0.0.4"
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description = "QUick and DIrty Domain Adaptation"
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optional = false
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python-versions = ">=3.5.0"
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files = [
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{file = "qudida-0.0.4-py3-none-any.whl", hash = "sha256:4519714c40cd0f2e6c51e1735edae8f8b19f4efe1f33be13e9d644ca5f736dd6"},
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[package.dependencies]
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opencv-python-headless = ">=4.0.1"
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scikit-learn = ">=0.19.1"
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typing-extensions = "*"
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name = "regex"
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version = "2023.8.8"
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description = "Alternative regular expression module, to replace re."
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optional = false
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[[package]]
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name = "yarl"
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version = "1.9.2"
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description = "Yet another URL library"
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optional = false
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python-versions = ">=3.7"
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