added tf
This commit is contained in:
parent
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.gitattributes
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.gitattributes
vendored
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@ -0,0 +1,2 @@
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||||
# Auto detect text files and perform LF normalization
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* text=auto
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opencv.ipynb
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opencv.ipynb
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632
poetry.lock
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632
poetry.lock
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@ -1,3 +1,14 @@
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||||
[[package]]
|
||||
name = "absl-py"
|
||||
version = "0.12.0"
|
||||
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
|
||||
six = "*"
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||||
|
||||
[[package]]
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||||
name = "anyio"
|
||||
version = "2.0.2"
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||||
@ -41,6 +52,17 @@ dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "wheel", "p
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docs = ["sphinx"]
|
||||
tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "astunparse"
|
||||
version = "1.6.3"
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||||
description = "An AST unparser for Python"
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||||
category = "main"
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||||
optional = false
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||||
python-versions = "*"
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||||
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||||
[package.dependencies]
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||||
six = ">=1.6.1,<2.0"
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||||
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||||
[[package]]
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||||
name = "async-generator"
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||||
version = "1.10"
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||||
@ -95,6 +117,22 @@ packaging = "*"
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||||
six = ">=1.9.0"
|
||||
webencodings = "*"
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||||
|
||||
[[package]]
|
||||
name = "cachetools"
|
||||
version = "4.2.2"
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||||
description = "Extensible memoizing collections and decorators"
|
||||
category = "main"
|
||||
optional = false
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||||
python-versions = "~=3.5"
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||||
|
||||
[[package]]
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||||
name = "certifi"
|
||||
version = "2020.12.5"
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||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
category = "main"
|
||||
optional = false
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||||
python-versions = "*"
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||||
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||||
[[package]]
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||||
name = "cffi"
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version = "1.14.4"
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@ -106,6 +144,14 @@ python-versions = "*"
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||||
[package.dependencies]
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pycparser = "*"
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||||
|
||||
[[package]]
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name = "chardet"
|
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|
||||
description = "Universal encoding detector for Python 2 and 3"
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||||
category = "main"
|
||||
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]]
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||||
name = "colorama"
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||||
version = "0.4.4"
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@ -138,13 +184,100 @@ category = "main"
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optional = true
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||||
python-versions = ">=2.7"
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||||
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||||
[[package]]
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||||
name = "flatbuffers"
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description = "The FlatBuffers serialization format for Python"
|
||||
category = "main"
|
||||
optional = false
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||||
python-versions = "*"
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||||
|
||||
[[package]]
|
||||
name = "gast"
|
||||
version = "0.3.3"
|
||||
description = "Python AST that abstracts the underlying Python version"
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||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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||||
|
||||
[[package]]
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||||
name = "google-auth"
|
||||
version = "1.30.0"
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||||
description = "Google Authentication Library"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
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|
||||
[package.dependencies]
|
||||
cachetools = ">=2.0.0,<5.0"
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||||
pyasn1-modules = ">=0.2.1"
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rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
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||||
six = ">=1.9.0"
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||||
|
||||
[package.extras]
|
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||||
pyopenssl = ["pyopenssl (>=20.0.0)"]
|
||||
reauth = ["pyu2f (>=0.1.5)"]
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||||
[[package]]
|
||||
name = "google-auth-oauthlib"
|
||||
version = "0.4.4"
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||||
description = "Google Authentication Library"
|
||||
category = "main"
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||||
optional = false
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||||
python-versions = ">=3.6"
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[package.dependencies]
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||||
google-auth = ">=1.0.0"
|
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requests-oauthlib = ">=0.7.0"
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||||
|
||||
[package.extras]
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||||
tool = ["click (>=6.0.0)"]
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||||
|
||||
[[package]]
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||||
name = "google-pasta"
|
||||
version = "0.2.0"
|
||||
description = "pasta is an AST-based Python refactoring library"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
|
||||
six = "*"
|
||||
|
||||
[[package]]
|
||||
name = "grpcio"
|
||||
version = "1.32.0"
|
||||
description = "HTTP/2-based RPC framework"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
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||||
|
||||
[package.dependencies]
|
||||
six = ">=1.5.2"
|
||||
|
||||
[package.extras]
|
||||
protobuf = ["grpcio-tools (>=1.32.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "h5py"
|
||||
version = "2.10.0"
|
||||
description = "Read and write HDF5 files from Python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.7"
|
||||
six = "*"
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.1"
|
||||
version = "2.10"
|
||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
category = "main"
|
||||
optional = true
|
||||
python-versions = ">=3.4"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
|
||||
[[package]]
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||||
name = "ipykernel"
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||||
@ -379,6 +512,34 @@ requests = "*"
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[package.extras]
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||||
test = ["codecov", "ipykernel", "pytest (>=5.3.2)", "pytest-cov", "jupyter-server", "pytest-console-scripts", "strict-rfc3339", "wheel"]
|
||||
|
||||
[[package]]
|
||||
name = "keras-preprocessing"
|
||||
version = "1.1.2"
|
||||
description = "Easy data preprocessing and data augmentation for deep learning models"
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||||
category = "main"
|
||||
optional = false
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python-versions = "*"
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[package.dependencies]
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||||
numpy = ">=1.9.1"
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six = ">=1.9.0"
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[package.extras]
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||||
image = ["scipy (>=0.14)", "Pillow (>=5.2.0)"]
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pep8 = ["flake8"]
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||||
tests = ["pandas", "pillow", "tensorflow", "keras", "pytest", "pytest-xdist", "pytest-cov"]
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[[package]]
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||||
name = "markdown"
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||||
version = "3.3.4"
|
||||
description = "Python implementation of Markdown."
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||||
category = "main"
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||||
optional = false
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||||
python-versions = ">=3.6"
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||||
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||||
[package.extras]
|
||||
testing = ["coverage", "pyyaml"]
|
||||
|
||||
[[package]]
|
||||
name = "markupsafe"
|
||||
version = "1.1.1"
|
||||
@ -523,6 +684,19 @@ category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[[package]]
|
||||
name = "oauthlib"
|
||||
version = "3.1.0"
|
||||
description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
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||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
|
||||
[package.extras]
|
||||
rsa = ["cryptography"]
|
||||
signals = ["blinker"]
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||||
signedtoken = ["cryptography", "pyjwt (>=1.0.0)"]
|
||||
|
||||
[[package]]
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||||
name = "opencv-python"
|
||||
version = "4.5.1.48"
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||||
@ -534,6 +708,21 @@ python-versions = ">=3.6"
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||||
[package.dependencies]
|
||||
numpy = ">=1.17.3"
|
||||
|
||||
[[package]]
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||||
name = "opt-einsum"
|
||||
version = "3.3.0"
|
||||
description = "Optimizing numpys einsum function"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
|
||||
[package.dependencies]
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||||
numpy = ">=1.7"
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||||
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||||
[package.extras]
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||||
docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
|
||||
tests = ["pytest", "pytest-cov", "pytest-pep8"]
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||||
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||||
[[package]]
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||||
name = "packaging"
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||||
version = "20.9"
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||||
@ -606,6 +795,17 @@ python-versions = ">=3.6.1"
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[package.dependencies]
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wcwidth = "*"
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||||
|
||||
[[package]]
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||||
name = "protobuf"
|
||||
version = "3.15.8"
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||||
description = "Protocol Buffers"
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||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
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||||
six = ">=1.9"
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||||
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||||
[[package]]
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||||
name = "ptyprocess"
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||||
version = "0.7.0"
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||||
@ -622,6 +822,25 @@ category = "main"
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||||
optional = false
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||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
|
||||
[[package]]
|
||||
name = "pyasn1"
|
||||
version = "0.4.8"
|
||||
description = "ASN.1 types and codecs"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "pyasn1-modules"
|
||||
version = "0.2.8"
|
||||
description = "A collection of ASN.1-based protocols modules."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
|
||||
pyasn1 = ">=0.4.6,<0.5.0"
|
||||
|
||||
[[package]]
|
||||
name = "pycparser"
|
||||
version = "2.20"
|
||||
@ -703,16 +922,48 @@ py = {version = "*", markers = "implementation_name == \"pypy\""}
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.15.1"
|
||||
version = "2.25.1"
|
||||
description = "Python HTTP for Humans."
|
||||
category = "main"
|
||||
optional = true
|
||||
python-versions = "*"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2017.4.17"
|
||||
chardet = ">=3.0.2,<5"
|
||||
idna = ">=2.5,<3"
|
||||
urllib3 = ">=1.21.1,<1.27"
|
||||
|
||||
[package.extras]
|
||||
security = ["cryptography (>=1.3.4)", "idna (>=2.0.0)", "pyOpenSSL (>=0.14)"]
|
||||
security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
|
||||
|
||||
[[package]]
|
||||
name = "requests-oauthlib"
|
||||
version = "1.3.0"
|
||||
description = "OAuthlib authentication support for Requests."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
|
||||
[package.dependencies]
|
||||
oauthlib = ">=3.0.0"
|
||||
requests = ">=2.0.0"
|
||||
|
||||
[package.extras]
|
||||
rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "rsa"
|
||||
version = "4.7.2"
|
||||
description = "Pure-Python RSA implementation"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.5, <4"
|
||||
|
||||
[package.dependencies]
|
||||
pyasn1 = ">=0.1.3"
|
||||
|
||||
[[package]]
|
||||
name = "scikit-learn"
|
||||
version = "0.24.1"
|
||||
@ -768,6 +1019,86 @@ category = "main"
|
||||
optional = true
|
||||
python-versions = ">=3.5"
|
||||
|
||||
[[package]]
|
||||
name = "tensorboard"
|
||||
version = "2.5.0"
|
||||
description = "TensorBoard lets you watch Tensors Flow"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">= 2.7, != 3.0.*, != 3.1.*"
|
||||
|
||||
[package.dependencies]
|
||||
absl-py = ">=0.4"
|
||||
google-auth = ">=1.6.3,<2"
|
||||
google-auth-oauthlib = ">=0.4.1,<0.5"
|
||||
grpcio = ">=1.24.3"
|
||||
markdown = ">=2.6.8"
|
||||
numpy = ">=1.12.0"
|
||||
protobuf = ">=3.6.0"
|
||||
requests = ">=2.21.0,<3"
|
||||
tensorboard-data-server = ">=0.6.0,<0.7.0"
|
||||
tensorboard-plugin-wit = ">=1.6.0"
|
||||
werkzeug = ">=0.11.15"
|
||||
|
||||
[[package]]
|
||||
name = "tensorboard-data-server"
|
||||
version = "0.6.1"
|
||||
description = "Fast data loading for TensorBoard"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
description = "What-If Tool TensorBoard plugin."
|
||||
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|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
description = "TensorFlow is an open source machine learning framework for everyone."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
|
||||
absl-py = ">=0.10,<1.0"
|
||||
astunparse = ">=1.6.3,<1.7.0"
|
||||
flatbuffers = ">=1.12.0,<1.13.0"
|
||||
gast = "0.3.3"
|
||||
google-pasta = ">=0.2,<1.0"
|
||||
grpcio = ">=1.32.0,<1.33.0"
|
||||
h5py = ">=2.10.0,<2.11.0"
|
||||
keras-preprocessing = ">=1.1.2,<1.2.0"
|
||||
numpy = ">=1.19.2,<1.20.0"
|
||||
opt-einsum = ">=3.3.0,<3.4.0"
|
||||
protobuf = ">=3.9.2"
|
||||
six = ">=1.15.0,<1.16.0"
|
||||
tensorboard = ">=2.4,<3.0"
|
||||
tensorflow-estimator = ">=2.4.0,<2.5.0"
|
||||
termcolor = ">=1.1.0,<1.2.0"
|
||||
typing-extensions = ">=3.7.4,<3.8.0"
|
||||
wrapt = ">=1.12.1,<1.13.0"
|
||||
|
||||
[[package]]
|
||||
name = "tensorflow-estimator"
|
||||
version = "2.4.0"
|
||||
description = "TensorFlow Estimator."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
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|
||||
description = "ANSII Color formatting for output in terminal."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "terminado"
|
||||
version = "0.9.2"
|
||||
@ -822,6 +1153,27 @@ ipython-genutils = "*"
|
||||
[package.extras]
|
||||
test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "3.7.4.3"
|
||||
description = "Backported and Experimental Type Hints for Python 3.5+"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "1.26.4"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
|
||||
|
||||
[package.extras]
|
||||
secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
brotli = ["brotlipy (>=0.6.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "wcwidth"
|
||||
version = "0.2.5"
|
||||
@ -838,15 +1190,39 @@ category = "main"
|
||||
optional = true
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "werkzeug"
|
||||
version = "1.0.1"
|
||||
description = "The comprehensive WSGI web application library."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinx-issues"]
|
||||
watchdog = ["watchdog"]
|
||||
|
||||
[[package]]
|
||||
name = "wrapt"
|
||||
version = "1.12.1"
|
||||
description = "Module for decorators, wrappers and monkey patching."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[extras]
|
||||
jupyter = ["jupyterlab"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "1.1"
|
||||
python-versions = "^3.8"
|
||||
content-hash = "f361a49b053fd1352be955502edb29c881551406b560f798108ca7aa60353af1"
|
||||
python-versions = "~3.8"
|
||||
content-hash = "b65d0559a70f9be95c7ba9a08745d696b6e9ceb196c6ad1eabaa236988b3b019"
|
||||
|
||||
[metadata.files]
|
||||
absl-py = [
|
||||
{file = "absl-py-0.12.0.tar.gz", hash = "sha256:b44f68984a5ceb2607d135a615999b93924c771238a63920d17d3387b0d229d5"},
|
||||
{file = "absl_py-0.12.0-py3-none-any.whl", hash = "sha256:afe94e3c751ff81aad55d33ab6e630390da32780110b5af72ae81ecff8418d9e"},
|
||||
]
|
||||
anyio = [
|
||||
{file = "anyio-2.0.2-py3-none-any.whl", hash = "sha256:01cce0087b8fd8b6b7e629dc11505dcde02f916ce903332892cb2ae9817b597d"},
|
||||
{file = "anyio-2.0.2.tar.gz", hash = "sha256:35075abd32cf20fd7e0be2fee3614e80b92d5392eba257c8d2f33de3df7ca237"},
|
||||
@ -875,6 +1251,10 @@ argon2-cffi = [
|
||||
{file = "argon2_cffi-20.1.0-cp39-cp39-win32.whl", hash = "sha256:e2db6e85c057c16d0bd3b4d2b04f270a7467c147381e8fd73cbbe5bc719832be"},
|
||||
{file = "argon2_cffi-20.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:8a84934bd818e14a17943de8099d41160da4a336bcc699bb4c394bbb9b94bd32"},
|
||||
]
|
||||
astunparse = [
|
||||
{file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
|
||||
{file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
|
||||
]
|
||||
async-generator = [
|
||||
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|
||||
{file = "async_generator-1.10.tar.gz", hash = "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"},
|
||||
@ -895,6 +1275,14 @@ bleach = [
|
||||
{file = "bleach-3.2.3-py2.py3-none-any.whl", hash = "sha256:2d3b3f7e7d69148bb683b26a3f21eabcf62fa8fb7bc75d0e7a13bcecd9568d4d"},
|
||||
{file = "bleach-3.2.3.tar.gz", hash = "sha256:c6ad42174219b64848e2e2cd434e44f56cd24a93a9b4f8bc52cfed55a1cd5aad"},
|
||||
]
|
||||
cachetools = [
|
||||
{file = "cachetools-4.2.2-py3-none-any.whl", hash = "sha256:2cc0b89715337ab6dbba85b5b50effe2b0c74e035d83ee8ed637cf52f12ae001"},
|
||||
{file = "cachetools-4.2.2.tar.gz", hash = "sha256:61b5ed1e22a0924aed1d23b478f37e8d52549ff8a961de2909c69bf950020cff"},
|
||||
]
|
||||
certifi = [
|
||||
{file = "certifi-2020.12.5-py2.py3-none-any.whl", hash = "sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830"},
|
||||
{file = "certifi-2020.12.5.tar.gz", hash = "sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c"},
|
||||
]
|
||||
cffi = [
|
||||
{file = "cffi-1.14.4-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:ebb253464a5d0482b191274f1c8bf00e33f7e0b9c66405fbffc61ed2c839c775"},
|
||||
{file = "cffi-1.14.4-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:2c24d61263f511551f740d1a065eb0212db1dbbbbd241db758f5244281590c06"},
|
||||
@ -933,6 +1321,10 @@ cffi = [
|
||||
{file = "cffi-1.14.4-cp39-cp39-win_amd64.whl", hash = "sha256:f032b34669220030f905152045dfa27741ce1a6db3324a5bc0b96b6c7420c87b"},
|
||||
{file = "cffi-1.14.4.tar.gz", hash = "sha256:1a465cbe98a7fd391d47dce4b8f7e5b921e6cd805ef421d04f5f66ba8f06086c"},
|
||||
]
|
||||
chardet = [
|
||||
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|
||||
{file = "chardet-4.0.0.tar.gz", hash = "sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa"},
|
||||
]
|
||||
colorama = [
|
||||
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|
||||
{file = "colorama-0.4.4.tar.gz", hash = "sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b"},
|
||||
@ -949,9 +1341,102 @@ entrypoints = [
|
||||
{file = "entrypoints-0.3-py2.py3-none-any.whl", hash = "sha256:589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19"},
|
||||
{file = "entrypoints-0.3.tar.gz", hash = "sha256:c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"},
|
||||
]
|
||||
flatbuffers = [
|
||||
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|
||||
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|
||||
]
|
||||
gast = [
|
||||
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|
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{file = "gast-0.3.3.tar.gz", hash = "sha256:b881ef288a49aa81440d2c5eb8aeefd4c2bb8993d5f50edae7413a85bfdb3b57"},
|
||||
]
|
||||
google-auth = [
|
||||
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|
||||
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|
||||
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|
||||
google-auth-oauthlib = [
|
||||
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|
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|
||||
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|
||||
google-pasta = [
|
||||
{file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
|
||||
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|
||||
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|
||||
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|
||||
grpcio = [
|
||||
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|
||||
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|
||||
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|
||||
{file = "grpcio-1.32.0-cp27-cp27m-win32.whl", hash = "sha256:e467af6bb8f5843f5a441e124b43474715cfb3981264e7cd227343e826dcc3ce"},
|
||||
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|
||||
{file = "grpcio-1.32.0-cp27-cp27mu-linux_armv7l.whl", hash = "sha256:ce617e1c4a39131f8527964ac9e700eb199484937d7a0b3e52655a3ba50d5fb9"},
|
||||
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|
||||
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|
||||
{file = "grpcio-1.32.0-cp35-cp35m-linux_armv7l.whl", hash = "sha256:182c64ade34c341398bf71ec0975613970feb175090760ab4f51d1e9a5424f05"},
|
||||
{file = "grpcio-1.32.0-cp35-cp35m-macosx_10_7_intel.whl", hash = "sha256:9c0d8f2346c842088b8cbe3e14985b36e5191a34bf79279ba321a4bf69bd88b7"},
|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
h5py = [
|
||||
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||||
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|
||||
{file = "h5py-2.10.0-cp35-cp35m-win32.whl", hash = "sha256:c54a2c0dd4957776ace7f95879d81582298c5daf89e77fb8bee7378f132951de"},
|
||||
{file = "h5py-2.10.0-cp35-cp35m-win_amd64.whl", hash = "sha256:6998be619c695910cb0effe5eb15d3a511d3d1a5d217d4bd0bebad1151ec2262"},
|
||||
{file = "h5py-2.10.0-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:ff7d241f866b718e4584fa95f520cb19405220c501bd3a53ee11871ba5166ea2"},
|
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{file = "h5py-2.10.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:54817b696e87eb9e403e42643305f142cd8b940fe9b3b490bbf98c3b8a894cf4"},
|
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{file = "h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:d3c59549f90a891691991c17f8e58c8544060fdf3ccdea267100fa5f561ff62f"},
|
||||
{file = "h5py-2.10.0-cp36-cp36m-win32.whl", hash = "sha256:d7ae7a0576b06cb8e8a1c265a8bc4b73d05fdee6429bffc9a26a6eb531e79d72"},
|
||||
{file = "h5py-2.10.0-cp36-cp36m-win_amd64.whl", hash = "sha256:bffbc48331b4a801d2f4b7dac8a72609f0b10e6e516e5c480a3e3241e091c878"},
|
||||
{file = "h5py-2.10.0-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:51ae56894c6c93159086ffa2c94b5b3388c0400548ab26555c143e7cfa05b8e5"},
|
||||
{file = "h5py-2.10.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:16ead3c57141101e3296ebeed79c9c143c32bdd0e82a61a2fc67e8e6d493e9d1"},
|
||||
{file = "h5py-2.10.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:f0e25bb91e7a02efccb50aba6591d3fe2c725479e34769802fcdd4076abfa917"},
|
||||
{file = "h5py-2.10.0-cp37-cp37m-win32.whl", hash = "sha256:f23951a53d18398ef1344c186fb04b26163ca6ce449ebd23404b153fd111ded9"},
|
||||
{file = "h5py-2.10.0-cp37-cp37m-win_amd64.whl", hash = "sha256:8bb1d2de101f39743f91512a9750fb6c351c032e5cd3204b4487383e34da7f75"},
|
||||
{file = "h5py-2.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:64f74da4a1dd0d2042e7d04cf8294e04ddad686f8eba9bb79e517ae582f6668d"},
|
||||
{file = "h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:d35f7a3a6cefec82bfdad2785e78359a0e6a5fbb3f605dd5623ce88082ccd681"},
|
||||
{file = "h5py-2.10.0-cp38-cp38-win32.whl", hash = "sha256:6ef7ab1089e3ef53ca099038f3c0a94d03e3560e6aff0e9d6c64c55fb13fc681"},
|
||||
{file = "h5py-2.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:769e141512b54dee14ec76ed354fcacfc7d97fea5a7646b709f7400cf1838630"},
|
||||
{file = "h5py-2.10.0.tar.gz", hash = "sha256:84412798925dc870ffd7107f045d7659e60f5d46d1c70c700375248bf6bf512d"},
|
||||
]
|
||||
idna = [
|
||||
{file = "idna-3.1-py3-none-any.whl", hash = "sha256:5205d03e7bcbb919cc9c19885f9920d622ca52448306f2377daede5cf3faac16"},
|
||||
{file = "idna-3.1.tar.gz", hash = "sha256:c5b02147e01ea9920e6b0a3f1f7bb833612d507592c837a6c49552768f4054e1"},
|
||||
{file = "idna-2.10-py2.py3-none-any.whl", hash = "sha256:b97d804b1e9b523befed77c48dacec60e6dcb0b5391d57af6a65a312a90648c0"},
|
||||
{file = "idna-2.10.tar.gz", hash = "sha256:b307872f855b18632ce0c21c5e45be78c0ea7ae4c15c828c20788b26921eb3f6"},
|
||||
]
|
||||
ipykernel = [
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||||
{file = "ipykernel-5.4.3-py3-none-any.whl", hash = "sha256:4ed205700001a83b5832d4821c46a5733f1bf4b1c55744314ae3c756be6b6095"},
|
||||
@ -1009,6 +1494,14 @@ jupyterlab-server = [
|
||||
{file = "jupyterlab_server-2.1.3-py3-none-any.whl", hash = "sha256:9d459d5aba43e626f41cce76d9d00c025e4591fa85feee2d36670295ed1a51fa"},
|
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{file = "jupyterlab_server-2.1.3.tar.gz", hash = "sha256:2af96b04bacf49a17bd2abdd461a219ab62724c39aea2d39ba95ded4be9a171a"},
|
||||
]
|
||||
keras-preprocessing = [
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||||
{file = "Keras_Preprocessing-1.1.2-py2.py3-none-any.whl", hash = "sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b"},
|
||||
{file = "Keras_Preprocessing-1.1.2.tar.gz", hash = "sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"},
|
||||
]
|
||||
markdown = [
|
||||
{file = "Markdown-3.3.4-py3-none-any.whl", hash = "sha256:96c3ba1261de2f7547b46a00ea8463832c921d3f9d6aba3f255a6f71386db20c"},
|
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{file = "Markdown-3.3.4.tar.gz", hash = "sha256:31b5b491868dcc87d6c24b7e3d19a0d730d59d3e46f4eea6430a321bed387a49"},
|
||||
]
|
||||
markupsafe = [
|
||||
{file = "MarkupSafe-1.1.1-cp27-cp27m-macosx_10_6_intel.whl", hash = "sha256:09027a7803a62ca78792ad89403b1b7a73a01c8cb65909cd876f7fcebd79b161"},
|
||||
{file = "MarkupSafe-1.1.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:e249096428b3ae81b08327a63a485ad0878de3fb939049038579ac0ef61e17e7"},
|
||||
@ -1108,6 +1601,10 @@ numpy = [
|
||||
{file = "numpy-1.19.5-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:a0d53e51a6cb6f0d9082decb7a4cb6dfb33055308c4c44f53103c073f649af73"},
|
||||
{file = "numpy-1.19.5.zip", hash = "sha256:a76f502430dd98d7546e1ea2250a7360c065a5fdea52b2dffe8ae7180909b6f4"},
|
||||
]
|
||||
oauthlib = [
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||||
{file = "oauthlib-3.1.0-py2.py3-none-any.whl", hash = "sha256:df884cd6cbe20e32633f1db1072e9356f53638e4361bef4e8b03c9127c9328ea"},
|
||||
{file = "oauthlib-3.1.0.tar.gz", hash = "sha256:bee41cc35fcca6e988463cacc3bcb8a96224f470ca547e697b604cc697b2f889"},
|
||||
]
|
||||
opencv-python = [
|
||||
{file = "opencv-python-4.5.1.48.tar.gz", hash = "sha256:78a6db8467639383caedf1d111da3510a4ee1a0aacf2117821cae2ee8f92ce37"},
|
||||
{file = "opencv_python-4.5.1.48-cp36-cp36m-macosx_10_13_x86_64.whl", hash = "sha256:bcb27773cfd5340b2b599b303d9f5499838ef4780c20c038f6030175408c64df"},
|
||||
@ -1135,6 +1632,10 @@ opencv-python = [
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||||
{file = "opencv_python-4.5.1.48-cp39-cp39-win32.whl", hash = "sha256:5172cb37dfd8a0b4945b071a493eb36e5f17675a160637fa380f9c1d9d80535c"},
|
||||
{file = "opencv_python-4.5.1.48-cp39-cp39-win_amd64.whl", hash = "sha256:c8cc1f5ff3c352ebe756119014c4e4ec7ae5ac536d1f66b0316667ced37637c8"},
|
||||
]
|
||||
opt-einsum = [
|
||||
{file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"},
|
||||
{file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"},
|
||||
]
|
||||
packaging = [
|
||||
{file = "packaging-20.9-py2.py3-none-any.whl", hash = "sha256:67714da7f7bc052e064859c05c595155bd1ee9f69f76557e21f051443c20947a"},
|
||||
{file = "packaging-20.9.tar.gz", hash = "sha256:5b327ac1320dc863dca72f4514ecc086f31186744b84a230374cc1fd776feae5"},
|
||||
@ -1162,6 +1663,28 @@ prompt-toolkit = [
|
||||
{file = "prompt_toolkit-3.0.14-py3-none-any.whl", hash = "sha256:c96b30925025a7635471dc083ffb6af0cc67482a00611bd81aeaeeeb7e5a5e12"},
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||||
{file = "prompt_toolkit-3.0.14.tar.gz", hash = "sha256:7e966747c18ececaec785699626b771c1ba8344c8d31759a1915d6b12fad6525"},
|
||||
]
|
||||
protobuf = [
|
||||
{file = "protobuf-3.15.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:fad4f971ec38d8df7f4b632c819bf9bbf4f57cfd7312cf526c69ce17ef32436a"},
|
||||
{file = "protobuf-3.15.8-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:f17b352d7ce33c81773cf81d536ca70849de6f73c96413f17309f4b43ae7040b"},
|
||||
{file = "protobuf-3.15.8-cp35-cp35m-macosx_10_9_intel.whl", hash = "sha256:4a054b0b5900b7ea7014099e783fb8c4618e4209fffcd6050857517b3f156e18"},
|
||||
{file = "protobuf-3.15.8-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:efa4c4d4fc9ba734e5e85eaced70e1b63fb3c8d08482d839eb838566346f1737"},
|
||||
{file = "protobuf-3.15.8-cp35-cp35m-win32.whl", hash = "sha256:07eec4e2ccbc74e95bb9b3afe7da67957947ee95bdac2b2e91b038b832dd71f0"},
|
||||
{file = "protobuf-3.15.8-cp35-cp35m-win_amd64.whl", hash = "sha256:f9cadaaa4065d5dd4d15245c3b68b967b3652a3108e77f292b58b8c35114b56c"},
|
||||
{file = "protobuf-3.15.8-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:2dc0e8a9e4962207bdc46a365b63a3f1aca6f9681a5082a326c5837ef8f4b745"},
|
||||
{file = "protobuf-3.15.8-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:f80afc0a0ba13339bbab25ca0409e9e2836b12bb012364c06e97c2df250c3343"},
|
||||
{file = "protobuf-3.15.8-cp36-cp36m-win32.whl", hash = "sha256:c5566f956a26cda3abdfacc0ca2e21db6c9f3d18f47d8d4751f2209d6c1a5297"},
|
||||
{file = "protobuf-3.15.8-cp36-cp36m-win_amd64.whl", hash = "sha256:dab75b56a12b1ceb3e40808b5bd9dfdaef3a1330251956e6744e5b6ed8f8830b"},
|
||||
{file = "protobuf-3.15.8-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3053f13207e7f13dc7be5e9071b59b02020172f09f648e85dc77e3fcb50d1044"},
|
||||
{file = "protobuf-3.15.8-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:1f0b5d156c3df08cc54bc2c8b8b875648ea4cd7ebb2a9a130669f7547ec3488c"},
|
||||
{file = "protobuf-3.15.8-cp37-cp37m-win32.whl", hash = "sha256:90270fe5732c1f1ff664a3bd7123a16456d69b4e66a09a139a00443a32f210b8"},
|
||||
{file = "protobuf-3.15.8-cp37-cp37m-win_amd64.whl", hash = "sha256:f42c2f5fb67da5905bfc03733a311f72fa309252bcd77c32d1462a1ad519521e"},
|
||||
{file = "protobuf-3.15.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f6077db37bfa16494dca58a4a02bfdacd87662247ad6bc1f7f8d13ff3f0013e1"},
|
||||
{file = "protobuf-3.15.8-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:510e66491f1a5ac5953c908aa8300ec47f793130097e4557482803b187a8ee05"},
|
||||
{file = "protobuf-3.15.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5ff9fa0e67fcab442af9bc8d4ec3f82cb2ff3be0af62dba047ed4187f0088b7d"},
|
||||
{file = "protobuf-3.15.8-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:1c0e9e56202b9dccbc094353285a252e2b7940b74fdf75f1b4e1b137833fabd7"},
|
||||
{file = "protobuf-3.15.8-py2.py3-none-any.whl", hash = "sha256:a0a08c6b2e6d6c74a6eb5bf6184968eefb1569279e78714e239d33126e753403"},
|
||||
{file = "protobuf-3.15.8.tar.gz", hash = "sha256:0277f62b1e42210cafe79a71628c1d553348da81cbd553402a7f7549c50b11d0"},
|
||||
]
|
||||
ptyprocess = [
|
||||
{file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
|
||||
{file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
|
||||
@ -1170,6 +1693,36 @@ py = [
|
||||
{file = "py-1.10.0-py2.py3-none-any.whl", hash = "sha256:3b80836aa6d1feeaa108e046da6423ab8f6ceda6468545ae8d02d9d58d18818a"},
|
||||
{file = "py-1.10.0.tar.gz", hash = "sha256:21b81bda15b66ef5e1a777a21c4dcd9c20ad3efd0b3f817e7a809035269e1bd3"},
|
||||
]
|
||||
pyasn1 = [
|
||||
{file = "pyasn1-0.4.8-py2.4.egg", hash = "sha256:fec3e9d8e36808a28efb59b489e4528c10ad0f480e57dcc32b4de5c9d8c9fdf3"},
|
||||
{file = "pyasn1-0.4.8-py2.5.egg", hash = "sha256:0458773cfe65b153891ac249bcf1b5f8f320b7c2ce462151f8fa74de8934becf"},
|
||||
{file = "pyasn1-0.4.8-py2.6.egg", hash = "sha256:5c9414dcfede6e441f7e8f81b43b34e834731003427e5b09e4e00e3172a10f00"},
|
||||
{file = "pyasn1-0.4.8-py2.7.egg", hash = "sha256:6e7545f1a61025a4e58bb336952c5061697da694db1cae97b116e9c46abcf7c8"},
|
||||
{file = "pyasn1-0.4.8-py2.py3-none-any.whl", hash = "sha256:39c7e2ec30515947ff4e87fb6f456dfc6e84857d34be479c9d4a4ba4bf46aa5d"},
|
||||
{file = "pyasn1-0.4.8-py3.1.egg", hash = "sha256:78fa6da68ed2727915c4767bb386ab32cdba863caa7dbe473eaae45f9959da86"},
|
||||
{file = "pyasn1-0.4.8-py3.2.egg", hash = "sha256:08c3c53b75eaa48d71cf8c710312316392ed40899cb34710d092e96745a358b7"},
|
||||
{file = "pyasn1-0.4.8-py3.3.egg", hash = "sha256:03840c999ba71680a131cfaee6fab142e1ed9bbd9c693e285cc6aca0d555e576"},
|
||||
{file = "pyasn1-0.4.8-py3.4.egg", hash = "sha256:7ab8a544af125fb704feadb008c99a88805126fb525280b2270bb25cc1d78a12"},
|
||||
{file = "pyasn1-0.4.8-py3.5.egg", hash = "sha256:e89bf84b5437b532b0803ba5c9a5e054d21fec423a89952a74f87fa2c9b7bce2"},
|
||||
{file = "pyasn1-0.4.8-py3.6.egg", hash = "sha256:014c0e9976956a08139dc0712ae195324a75e142284d5f87f1a87ee1b068a359"},
|
||||
{file = "pyasn1-0.4.8-py3.7.egg", hash = "sha256:99fcc3c8d804d1bc6d9a099921e39d827026409a58f2a720dcdb89374ea0c776"},
|
||||
{file = "pyasn1-0.4.8.tar.gz", hash = "sha256:aef77c9fb94a3ac588e87841208bdec464471d9871bd5050a287cc9a475cd0ba"},
|
||||
]
|
||||
pyasn1-modules = [
|
||||
{file = "pyasn1-modules-0.2.8.tar.gz", hash = "sha256:905f84c712230b2c592c19470d3ca8d552de726050d1d1716282a1f6146be65e"},
|
||||
{file = "pyasn1_modules-0.2.8-py2.4.egg", hash = "sha256:0fe1b68d1e486a1ed5473f1302bd991c1611d319bba158e98b106ff86e1d7199"},
|
||||
{file = "pyasn1_modules-0.2.8-py2.5.egg", hash = "sha256:fe0644d9ab041506b62782e92b06b8c68cca799e1a9636ec398675459e031405"},
|
||||
{file = "pyasn1_modules-0.2.8-py2.6.egg", hash = "sha256:a99324196732f53093a84c4369c996713eb8c89d360a496b599fb1a9c47fc3eb"},
|
||||
{file = "pyasn1_modules-0.2.8-py2.7.egg", hash = "sha256:0845a5582f6a02bb3e1bde9ecfc4bfcae6ec3210dd270522fee602365430c3f8"},
|
||||
{file = "pyasn1_modules-0.2.8-py2.py3-none-any.whl", hash = "sha256:a50b808ffeb97cb3601dd25981f6b016cbb3d31fbf57a8b8a87428e6158d0c74"},
|
||||
{file = "pyasn1_modules-0.2.8-py3.1.egg", hash = "sha256:f39edd8c4ecaa4556e989147ebf219227e2cd2e8a43c7e7fcb1f1c18c5fd6a3d"},
|
||||
{file = "pyasn1_modules-0.2.8-py3.2.egg", hash = "sha256:b80486a6c77252ea3a3e9b1e360bc9cf28eaac41263d173c032581ad2f20fe45"},
|
||||
{file = "pyasn1_modules-0.2.8-py3.3.egg", hash = "sha256:65cebbaffc913f4fe9e4808735c95ea22d7a7775646ab690518c056784bc21b4"},
|
||||
{file = "pyasn1_modules-0.2.8-py3.4.egg", hash = "sha256:15b7c67fabc7fc240d87fb9aabf999cf82311a6d6fb2c70d00d3d0604878c811"},
|
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{file = "pyasn1_modules-0.2.8-py3.5.egg", hash = "sha256:426edb7a5e8879f1ec54a1864f16b882c2837bfd06eee62f2c982315ee2473ed"},
|
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{file = "pyasn1_modules-0.2.8-py3.6.egg", hash = "sha256:cbac4bc38d117f2a49aeedec4407d23e8866ea4ac27ff2cf7fb3e5b570df19e0"},
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{file = "pyasn1_modules-0.2.8-py3.7.egg", hash = "sha256:c29a5e5cc7a3f05926aff34e097e84f8589cd790ce0ed41b67aed6857b26aafd"},
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||||
]
|
||||
pycparser = [
|
||||
{file = "pycparser-2.20-py2.py3-none-any.whl", hash = "sha256:7582ad22678f0fcd81102833f60ef8d0e57288b6b5fb00323d101be910e35705"},
|
||||
{file = "pycparser-2.20.tar.gz", hash = "sha256:2d475327684562c3a96cc71adf7dc8c4f0565175cf86b6d7a404ff4c771f15f0"},
|
||||
@ -1252,8 +1805,17 @@ pyzmq = [
|
||||
{file = "pyzmq-22.0.2.tar.gz", hash = "sha256:d7b82a959e5e22d492f4f5a1e650e909a6c8c76ede178f538313ddb9d1e92963"},
|
||||
]
|
||||
requests = [
|
||||
{file = "requests-2.15.1-py2.py3-none-any.whl", hash = "sha256:ff753b2196cd18b1bbeddc9dcd5c864056599f7a7d9a4fb5677e723efa2b7fb9"},
|
||||
{file = "requests-2.15.1.tar.gz", hash = "sha256:e5659b9315a0610505e050bb7190bf6fa2ccee1ac295f2b760ef9d8a03ebbb2e"},
|
||||
{file = "requests-2.25.1-py2.py3-none-any.whl", hash = "sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e"},
|
||||
{file = "requests-2.25.1.tar.gz", hash = "sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804"},
|
||||
]
|
||||
requests-oauthlib = [
|
||||
{file = "requests-oauthlib-1.3.0.tar.gz", hash = "sha256:b4261601a71fd721a8bd6d7aa1cc1d6a8a93b4a9f5e96626f8e4d91e8beeaa6a"},
|
||||
{file = "requests_oauthlib-1.3.0-py2.py3-none-any.whl", hash = "sha256:7f71572defaecd16372f9006f33c2ec8c077c3cfa6f5911a9a90202beb513f3d"},
|
||||
{file = "requests_oauthlib-1.3.0-py3.7.egg", hash = "sha256:fa6c47b933f01060936d87ae9327fead68768b69c6c9ea2109c48be30f2d4dbc"},
|
||||
]
|
||||
rsa = [
|
||||
{file = "rsa-4.7.2-py3-none-any.whl", hash = "sha256:78f9a9bf4e7be0c5ded4583326e7461e3a3c5aae24073648b4bdfa797d78c9d2"},
|
||||
{file = "rsa-4.7.2.tar.gz", hash = "sha256:9d689e6ca1b3038bc82bf8d23e944b6b6037bc02301a574935b2dd946e0353b9"},
|
||||
]
|
||||
scikit-learn = [
|
||||
{file = "scikit-learn-0.24.1.tar.gz", hash = "sha256:a0334a1802e64d656022c3bfab56a73fbd6bf4b1298343f3688af2151810bbdf"},
|
||||
@ -1319,6 +1881,34 @@ sniffio = [
|
||||
{file = "sniffio-1.2.0-py3-none-any.whl", hash = "sha256:471b71698eac1c2112a40ce2752bb2f4a4814c22a54a3eed3676bc0f5ca9f663"},
|
||||
{file = "sniffio-1.2.0.tar.gz", hash = "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"},
|
||||
]
|
||||
tensorboard = [
|
||||
{file = "tensorboard-2.5.0-py3-none-any.whl", hash = "sha256:e167460085b6528956b33bab1c970c989cdce47a6616273880733f5e7bde452e"},
|
||||
]
|
||||
tensorboard-data-server = [
|
||||
{file = "tensorboard_data_server-0.6.1-py3-none-any.whl", hash = "sha256:809fe9887682d35c1f7d1f54f0f40f98bb1f771b14265b453ca051e2ce58fca7"},
|
||||
{file = "tensorboard_data_server-0.6.1-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fa8cef9be4fcae2f2363c88176638baf2da19c5ec90addb49b1cde05c95c88ee"},
|
||||
{file = "tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl", hash = "sha256:d8237580755e58eff68d1f3abefb5b1e39ae5c8b127cc40920f9c4fb33f4b98a"},
|
||||
]
|
||||
tensorboard-plugin-wit = [
|
||||
{file = "tensorboard_plugin_wit-1.8.0-py3-none-any.whl", hash = "sha256:2a80d1c551d741e99b2f197bb915d8a133e24adb8da1732b840041860f91183a"},
|
||||
]
|
||||
tensorflow = [
|
||||
{file = "tensorflow-2.4.1-cp36-cp36m-macosx_10_11_x86_64.whl", hash = "sha256:e1f2799cc86861680d8515167f103e2207a8cab92a4afe5471e4839330591f08"},
|
||||
{file = "tensorflow-2.4.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:55368ba0bedb513ba0e36a2543a588b5276e9b2ca99fa3232a9a176601a7bab5"},
|
||||
{file = "tensorflow-2.4.1-cp36-cp36m-win_amd64.whl", hash = "sha256:0e427b1350be6dbe572f971947c5596fdbb152081f227808d8becd894bf40282"},
|
||||
{file = "tensorflow-2.4.1-cp37-cp37m-macosx_10_11_x86_64.whl", hash = "sha256:36d5acd60aac48e34bd545d0ce1fb8b3fceebff6b8782436defd0f71c12203bd"},
|
||||
{file = "tensorflow-2.4.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:22723b8e1fa83b34f56c349b16a57aaff913b404451fcf70981f2b1d6e0c64fc"},
|
||||
{file = "tensorflow-2.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:2357112319303da1b5459a621fd0503c2b2cd97b6c33c4903abd46b3c3e380e2"},
|
||||
{file = "tensorflow-2.4.1-cp38-cp38-macosx_10_11_x86_64.whl", hash = "sha256:4a04081647b89a8fb602895b29ffc559e3c20aac8bde1d4c5ecd2a65adce5d35"},
|
||||
{file = "tensorflow-2.4.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:efa9daa4b3701a4e439b24b74c1e4b66844aee8ae5263fb3cc12281ac9cc9f67"},
|
||||
{file = "tensorflow-2.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:eedcf578afde5e6e69c75d796bed41093451cd1ab54afb438760e40fb74a09de"},
|
||||
]
|
||||
tensorflow-estimator = [
|
||||
{file = "tensorflow_estimator-2.4.0-py2.py3-none-any.whl", hash = "sha256:5b7b7bf2debe19a8794adacc43e8ba6459daa4efaf54d3302623994a359b17f0"},
|
||||
]
|
||||
termcolor = [
|
||||
{file = "termcolor-1.1.0.tar.gz", hash = "sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b"},
|
||||
]
|
||||
terminado = [
|
||||
{file = "terminado-0.9.2-py3-none-any.whl", hash = "sha256:23a053e06b22711269563c8bb96b36a036a86be8b5353e85e804f89b84aaa23f"},
|
||||
{file = "terminado-0.9.2.tar.gz", hash = "sha256:89e6d94b19e4bc9dce0ffd908dfaf55cc78a9bf735934e915a4a96f65ac9704c"},
|
||||
@ -1378,6 +1968,15 @@ traitlets = [
|
||||
{file = "traitlets-5.0.5-py3-none-any.whl", hash = "sha256:69ff3f9d5351f31a7ad80443c2674b7099df13cc41fc5fa6e2f6d3b0330b0426"},
|
||||
{file = "traitlets-5.0.5.tar.gz", hash = "sha256:178f4ce988f69189f7e523337a3e11d91c786ded9360174a3d9ca83e79bc5396"},
|
||||
]
|
||||
typing-extensions = [
|
||||
{file = "typing_extensions-3.7.4.3-py2-none-any.whl", hash = "sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f"},
|
||||
{file = "typing_extensions-3.7.4.3-py3-none-any.whl", hash = "sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918"},
|
||||
{file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
|
||||
]
|
||||
urllib3 = [
|
||||
{file = "urllib3-1.26.4-py2.py3-none-any.whl", hash = "sha256:2f4da4594db7e1e110a944bb1b551fdf4e6c136ad42e4234131391e21eb5b0df"},
|
||||
{file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"},
|
||||
]
|
||||
wcwidth = [
|
||||
{file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
|
||||
{file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
|
||||
@ -1386,3 +1985,10 @@ webencodings = [
|
||||
{file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
|
||||
{file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
|
||||
]
|
||||
werkzeug = [
|
||||
{file = "Werkzeug-1.0.1-py2.py3-none-any.whl", hash = "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43"},
|
||||
{file = "Werkzeug-1.0.1.tar.gz", hash = "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"},
|
||||
]
|
||||
wrapt = [
|
||||
{file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"},
|
||||
]
|
||||
|
@ -5,13 +5,14 @@ description = "Jupyter scratchpad for playing with computer vision"
|
||||
authors = ["andy <andy@sarsoo.xyz>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.8"
|
||||
python = "~3.8"
|
||||
numpy = "^1.19.5"
|
||||
opencv-python = "^4.5.1"
|
||||
scikit-learn = "^0.24.1"
|
||||
scipy = "^1.6.0"
|
||||
jupyterlab = {version = "^3.0.6", optional = true}
|
||||
ipykernel = "^5.4.3"
|
||||
tensorflow = "^2.4.1"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
|
||||
|
161
tf.ipynb
Normal file
161
tf.ipynb
Normal file
@ -0,0 +1,161 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "imperial-battlefield",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Tensorflow"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"id": "genetic-candle",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import tensorflow as tf\n",
|
||||
"import cv2 as cv\n",
|
||||
"import numpy as np"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"id": "liquid-butterfly",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"TensorShape([2, 2, 9])"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"subject = tf.constant([\n",
|
||||
" [[1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9]], \n",
|
||||
" [[1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9]]\n",
|
||||
"])\n",
|
||||
"subject.shape"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"id": "diagnostic-connection",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"(213, 320, 3)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(1, 213, 320, 3)"
|
||||
]
|
||||
},
|
||||
"execution_count": 30,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"im = cv.imread('sheep.png')\n",
|
||||
"print(im.shape)\n",
|
||||
"im = im / 255\n",
|
||||
"im = np.expand_dims(im, 0)\n",
|
||||
"im.shape"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 52,
|
||||
"id": "extraordinary-beads",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"TensorShape([1, 213, 320, 6])"
|
||||
]
|
||||
},
|
||||
"execution_count": 52,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"layer = tf.keras.layers.Conv2D(6, 1)\n",
|
||||
"result = layer(im)\n",
|
||||
"result.shape"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 56,
|
||||
"id": "changing-eligibility",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"TensorShape([1, 213, 320, 10])"
|
||||
]
|
||||
},
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"seq = tf.keras.Sequential(\n",
|
||||
" layers=[tf.keras.layers.Conv2D(6, 1),\n",
|
||||
" tf.keras.layers.Conv2D(10, 1)]\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"seq.compile()\n",
|
||||
"res = seq(im)\n",
|
||||
"res.shape"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "statewide-steal",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.4"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
Loading…
Reference in New Issue
Block a user