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Merge pull request #32 from thundersparkf/feat/shi_tomashi_generator
added: shi-tomashi corner generator
This commit is contained in:
Cedric
GitHub
commit
4a657625f5
6 changed files with 1241 additions and 77 deletions
244
poetry.lock
generated
244
poetry.lock
generated
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@ -46,7 +46,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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[[package]]
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name = "coverage"
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version = "6.1.1"
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version = "6.1.2"
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description = "Code coverage measurement for Python"
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category = "dev"
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optional = false
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@ -97,7 +97,7 @@ python-versions = ">=3.5"
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[[package]]
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name = "imagesize"
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version = "1.2.0"
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version = "1.3.0"
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description = "Getting image size from png/jpeg/jpeg2000/gif file"
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category = "dev"
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optional = false
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@ -105,7 +105,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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[[package]]
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name = "jinja2"
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version = "3.0.2"
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version = "3.0.3"
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description = "A very fast and expressive template engine."
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category = "dev"
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optional = false
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@ -174,16 +174,35 @@ six = ">=1.7"
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coverage_plugin = ["coverage (>=4.4.1)"]
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dev = ["Sphinx (>=1.6.5)", "sphinx-rtd-theme", "mock", "coverage"]
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[[package]]
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name = "numpy"
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version = "1.21.1"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "opencv-python"
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version = "4.5.3.56"
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description = "Wrapper package for OpenCV python bindings."
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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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numpy = ">=1.21.0"
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[[package]]
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name = "packaging"
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version = "21.2"
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version = "21.3"
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description = "Core utilities for Python packages"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[package.dependencies]
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pyparsing = ">=2.0.2,<3"
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pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
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[[package]]
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name = "piexif"
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@ -227,11 +246,14 @@ python-versions = ">=3.5"
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[[package]]
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name = "pyparsing"
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version = "2.4.7"
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version = "3.0.6"
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description = "Python parsing module"
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category = "dev"
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optional = false
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python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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python-versions = ">=3.6"
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[package.extras]
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diagrams = ["jinja2", "railroad-diagrams"]
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[[package]]
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name = "pytz"
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@ -269,7 +291,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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[[package]]
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name = "snowballstemmer"
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version = "2.1.0"
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version = "2.2.0"
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description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
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category = "dev"
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optional = false
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@ -277,7 +299,7 @@ python-versions = "*"
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[[package]]
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name = "sphinx"
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version = "4.2.0"
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version = "4.3.0"
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description = "Python documentation generator"
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category = "dev"
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optional = false
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@ -387,11 +409,11 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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[[package]]
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name = "typing-extensions"
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version = "3.10.0.2"
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description = "Backported and Experimental Type Hints for Python 3.5+"
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version = "4.0.0"
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description = "Backported and Experimental Type Hints for Python 3.6+"
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category = "dev"
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optional = false
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python-versions = "*"
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python-versions = ">=3.6"
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[[package]]
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name = "urllib3"
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@ -409,7 +431,7 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
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[metadata]
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lock-version = "1.1"
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python-versions = "^3.8"
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content-hash = "81927688a597204abf0b86aab951240e0d00c7362a10589c465b2eaf14b6609a"
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content-hash = "1725241e35b3cb93acd7a2a104bf20119c097cfc5dc9b4daa708b846db61948a"
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[metadata.files]
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alabaster = [
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@ -433,55 +455,53 @@ colorama = [
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{file = "coverage-6.1.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:586d38dfc7da4a87f5816b203ff06dd7c1bb5b16211ccaa0e9788a8da2b93696"},
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{file = "coverage-6.1.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a39590d1e6acf6a3c435c5d233f72f5d43b585f5be834cff1f21fec4afda225"},
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{file = "coverage-6.1.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9d2c2e3ce7b8cc932a2f918186964bd44de8c84e2f9ef72dc616f5bb8be22e71"},
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{file = "coverage-6.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:af45eea024c0e3a25462fade161afab4f0d9d9e0d5a5d53e86149f74f0a35ecc"},
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{file = "coverage-6.1.2-pp36.pp37.pp38-none-any.whl", hash = "sha256:eab14fdd410500dae50fd14ccc332e65543e7b39f6fc076fe90603a0e5d2f929"},
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{file = "coverage-6.1.2.tar.gz", hash = "sha256:d9a635114b88c0ab462e0355472d00a180a5fbfd8511e7f18e4ac32652e7d972"},
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]
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crayons = [
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{file = "crayons-0.4.0-py2.py3-none-any.whl", hash = "sha256:e73ad105c78935d71fe454dd4b85c5c437ba199294e7ffd3341842bc683654b1"},
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@ -500,12 +520,12 @@ idna = [
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{file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
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]
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imagesize = [
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{file = "imagesize-1.2.0-py2.py3-none-any.whl", hash = "sha256:6965f19a6a2039c7d48bca7dba2473069ff854c36ae6f19d2cde309d998228a1"},
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{file = "imagesize-1.2.0.tar.gz", hash = "sha256:b1f6b5a4eab1f73479a50fb79fcf729514a900c341d8503d62a62dbc4127a2b1"},
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{file = "imagesize-1.3.0-py2.py3-none-any.whl", hash = "sha256:1db2f82529e53c3e929e8926a1fa9235aa82d0bd0c580359c67ec31b2fddaa8c"},
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jinja2 = [
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{file = "Jinja2-3.0.3-py3-none-any.whl", hash = "sha256:077ce6014f7b40d03b47d1f1ca4b0fc8328a692bd284016f806ed0eaca390ad8"},
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{file = "Jinja2-3.0.3.tar.gz", hash = "sha256:611bb273cd68f3b993fabdc4064fc858c5b47a973cb5aa7999ec1ba405c87cd7"},
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]
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markupsafe = [
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{file = "MarkupSafe-2.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d8446c54dc28c01e5a2dbac5a25f071f6653e6e40f3a8818e8b45d790fe6ef53"},
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|
|
@ -513,6 +533,9 @@ markupsafe = [
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{file = "MarkupSafe-2.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d7d807855b419fc2ed3e631034685db6079889a1f01d5d9dac950f764da3dad"},
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{file = "MarkupSafe-2.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:add36cb2dbb8b736611303cd3bfcee00afd96471b09cda130da3581cbdc56a6d"},
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{file = "MarkupSafe-2.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:168cd0a3642de83558a5153c8bd34f175a9a6e7f6dc6384b9655d2697312a646"},
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{file = "MarkupSafe-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cdfba22ea2f0029c9261a4bd07e830a8da012291fbe44dc794e488b6c9bb353a"},
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{file = "MarkupSafe-2.0.1-cp310-cp310-win32.whl", hash = "sha256:99df47edb6bda1249d3e80fdabb1dab8c08ef3975f69aed437cb69d0a5de1e28"},
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{file = "MarkupSafe-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:e0f138900af21926a02425cf736db95be9f4af72ba1bb21453432a07f6082134"},
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{file = "MarkupSafe-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f9081981fe268bd86831e5c75f7de206ef275defcb82bc70740ae6dc507aee51"},
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|
|
@ -524,6 +547,9 @@ markupsafe = [
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{file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf5d821ffabf0ef3533c39c518f3357b171a1651c1ff6827325e4489b0e46c3c"},
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{file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0d4b31cc67ab36e3392bbf3862cfbadac3db12bdd8b02a2731f509ed5b829724"},
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{file = "MarkupSafe-2.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:8d206346619592c6200148b01a2142798c989edcb9c896f9ac9722a99d4e77e6"},
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{file = "MarkupSafe-2.0.1-cp36-cp36m-win32.whl", hash = "sha256:6c4ca60fa24e85fe25b912b01e62cb969d69a23a5d5867682dd3e80b5b02581d"},
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{file = "MarkupSafe-2.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b2f4bf27480f5e5e8ce285a8c8fd176c0b03e93dcc6646477d4630e83440c6a9"},
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{file = "MarkupSafe-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0717a7390a68be14b8c793ba258e075c6f4ca819f15edfc2a3a027c823718567"},
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|
|
@ -535,6 +561,9 @@ markupsafe = [
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{file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e9936f0b261d4df76ad22f8fee3ae83b60d7c3e871292cd42f40b81b70afae85"},
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{file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2a7d351cbd8cfeb19ca00de495e224dea7e7d919659c2841bbb7f420ad03e2d6"},
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{file = "MarkupSafe-2.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:89c687013cb1cd489a0f0ac24febe8c7a666e6e221b783e53ac50ebf68e45d86"},
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{file = "MarkupSafe-2.0.1-cp37-cp37m-win32.whl", hash = "sha256:a30e67a65b53ea0a5e62fe23682cfe22712e01f453b95233b25502f7c61cb415"},
|
||||
{file = "MarkupSafe-2.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:611d1ad9a4288cf3e3c16014564df047fe08410e628f89805e475368bd304914"},
|
||||
{file = "MarkupSafe-2.0.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5bb28c636d87e840583ee3adeb78172efc47c8b26127267f54a9c0ec251d41a9"},
|
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|
|
@ -547,6 +576,9 @@ markupsafe = [
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|||
{file = "MarkupSafe-2.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fcf051089389abe060c9cd7caa212c707e58153afa2c649f00346ce6d260f1b"},
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{file = "MarkupSafe-2.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5855f8438a7d1d458206a2466bf82b0f104a3724bf96a1c781ab731e4201731a"},
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{file = "MarkupSafe-2.0.1-cp38-cp38-win32.whl", hash = "sha256:023cb26ec21ece8dc3907c0e8320058b2e0cb3c55cf9564da612bc325bed5e64"},
|
||||
{file = "MarkupSafe-2.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:984d76483eb32f1bcb536dc27e4ad56bba4baa70be32fa87152832cdd9db0833"},
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{file = "MarkupSafe-2.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2ef54abee730b502252bcdf31b10dacb0a416229b72c18b19e24a4509f273d26"},
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|
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@ -559,6 +591,9 @@ markupsafe = [
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{file = "MarkupSafe-2.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c47adbc92fc1bb2b3274c4b3a43ae0e4573d9fbff4f54cd484555edbf030baf1"},
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|
||||
{file = "MarkupSafe-2.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1f2ade76b9903f39aa442b4aadd2177decb66525062db244b35d71d0ee8599b6"},
|
||||
{file = "MarkupSafe-2.0.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4296f2b1ce8c86a6aea78613c34bb1a672ea0e3de9c6ba08a960efe0b0a09047"},
|
||||
{file = "MarkupSafe-2.0.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f02365d4e99430a12647f09b6cc8bab61a6564363f313126f775eb4f6ef798e"},
|
||||
{file = "MarkupSafe-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5b6d930f030f8ed98e3e6c98ffa0652bdb82601e7a016ec2ab5d7ff23baa78d1"},
|
||||
{file = "MarkupSafe-2.0.1-cp39-cp39-win32.whl", hash = "sha256:10f82115e21dc0dfec9ab5c0223652f7197feb168c940f3ef61563fc2d6beb74"},
|
||||
{file = "MarkupSafe-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:693ce3f9e70a6cf7d2fb9e6c9d8b204b6b39897a2c4a1aa65728d5ac97dcc1d8"},
|
||||
{file = "MarkupSafe-2.0.1.tar.gz", hash = "sha256:594c67807fb16238b30c44bdf74f36c02cdf22d1c8cda91ef8a0ed8dabf5620a"},
|
||||
|
|
@ -600,9 +635,65 @@ nose2 = [
|
|||
{file = "nose2-0.10.0-py2.py3-none-any.whl", hash = "sha256:aa620e759f2c5018d9ba041340391913e282ecebd3c392027f1575847b093ec6"},
|
||||
{file = "nose2-0.10.0.tar.gz", hash = "sha256:886ba617a96de0130c54b24479bd5c2d74d5c940d40f3809c3a275511a0c4a60"},
|
||||
]
|
||||
numpy = [
|
||||
{file = "numpy-1.21.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:38e8648f9449a549a7dfe8d8755a5979b45b3538520d1e735637ef28e8c2dc50"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fd7d7409fa643a91d0a05c7554dd68aa9c9bb16e186f6ccfe40d6e003156e33a"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a75b4498b1e93d8b700282dc8e655b8bd559c0904b3910b144646dbbbc03e062"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1412aa0aec3e00bc23fbb8664d76552b4efde98fb71f60737c83efbac24112f1"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e46ceaff65609b5399163de5893d8f2a82d3c77d5e56d976c8b5fb01faa6b671"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c6a2324085dd52f96498419ba95b5777e40b6bcbc20088fddb9e8cbb58885e8e"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-win32.whl", hash = "sha256:73101b2a1fef16602696d133db402a7e7586654682244344b8329cdcbbb82172"},
|
||||
{file = "numpy-1.21.1-cp37-cp37m-win_amd64.whl", hash = "sha256:7a708a79c9a9d26904d1cca8d383bf869edf6f8e7650d85dbc77b041e8c5a0f8"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:95b995d0c413f5d0428b3f880e8fe1660ff9396dcd1f9eedbc311f37b5652e16"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:635e6bd31c9fb3d475c8f44a089569070d10a9ef18ed13738b03049280281267"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4a3d5fb89bfe21be2ef47c0614b9c9c707b7362386c9a3ff1feae63e0267ccb6"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8a326af80e86d0e9ce92bcc1e65c8ff88297de4fa14ee936cb2293d414c9ec63"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:791492091744b0fe390a6ce85cc1bf5149968ac7d5f0477288f78c89b385d9af"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0318c465786c1f63ac05d7c4dbcecd4d2d7e13f0959b01b534ea1e92202235c5"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a513bd9c1551894ee3d31369f9b07460ef223694098cf27d399513415855b68"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:91c6f5fc58df1e0a3cc0c3a717bb3308ff850abdaa6d2d802573ee2b11f674a8"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-win32.whl", hash = "sha256:978010b68e17150db8765355d1ccdd450f9fc916824e8c4e35ee620590e234cd"},
|
||||
{file = "numpy-1.21.1-cp38-cp38-win_amd64.whl", hash = "sha256:9749a40a5b22333467f02fe11edc98f022133ee1bfa8ab99bda5e5437b831214"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d7a4aeac3b94af92a9373d6e77b37691b86411f9745190d2c351f410ab3a791f"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d9e7912a56108aba9b31df688a4c4f5cb0d9d3787386b87d504762b6754fbb1b"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:25b40b98ebdd272bc3020935427a4530b7d60dfbe1ab9381a39147834e985eac"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8a92c5aea763d14ba9d6475803fc7904bda7decc2a0a68153f587ad82941fec1"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:05a0f648eb28bae4bcb204e6fd14603de2908de982e761a2fc78efe0f19e96e1"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f01f28075a92eede918b965e86e8f0ba7b7797a95aa8d35e1cc8821f5fc3ad6a"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-win32.whl", hash = "sha256:88c0b89ad1cc24a5efbb99ff9ab5db0f9a86e9cc50240177a571fbe9c2860ac2"},
|
||||
{file = "numpy-1.21.1-cp39-cp39-win_amd64.whl", hash = "sha256:01721eefe70544d548425a07c80be8377096a54118070b8a62476866d5208e33"},
|
||||
{file = "numpy-1.21.1-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2d4d1de6e6fb3d28781c73fbde702ac97f03d79e4ffd6598b880b2d95d62ead4"},
|
||||
{file = "numpy-1.21.1.zip", hash = "sha256:dff4af63638afcc57a3dfb9e4b26d434a7a602d225b42d746ea7fe2edf1342fd"},
|
||||
]
|
||||
opencv-python = [
|
||||
{file = "opencv-python-4.5.3.56.tar.gz", hash = "sha256:3c001d3feec7f3140f1fb78dfc52ca28122db8240826882d175a208a89d2731b"},
|
||||
{file = "opencv_python-4.5.3.56-cp36-cp36m-macosx_10_15_x86_64.whl", hash = "sha256:9a78558b5ae848386edbb843c761e5fed5a8480be9af16274a5a78838529edeb"},
|
||||
{file = "opencv_python-4.5.3.56-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:8d3282138f3a8646941089aae142684910ebe40776266448eab5f4bb609fc63f"},
|
||||
{file = "opencv_python-4.5.3.56-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:881f3d85269500e0c7d72b140a6ebb5c14a089f8140fb9da7ce01f12a245858e"},
|
||||
{file = "opencv_python-4.5.3.56-cp36-cp36m-win32.whl", hash = "sha256:f1bda4d144f5204e077ca4571453ebb2015e5748d5e0043386c92c2bbf7f52eb"},
|
||||
{file = "opencv_python-4.5.3.56-cp36-cp36m-win_amd64.whl", hash = "sha256:6763729fcfee2a08e069aa1982c9a8c1abf55b9cdf2fb9640eda1d85bdece19a"},
|
||||
{file = "opencv_python-4.5.3.56-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:68813b720b88e4951e84399b9a8a7b532d45a07a96ea8f539636242f862e32e0"},
|
||||
{file = "opencv_python-4.5.3.56-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:c360cb76ad1ddbd5d2d3e730b42f2ff6e4be08ea6f4a6eefacca175d27467e8f"},
|
||||
{file = "opencv_python-4.5.3.56-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:437f30e300725e1d1b3744dbfbc66a523a4744792b58f3dbe1e9140c8f4dfba5"},
|
||||
{file = "opencv_python-4.5.3.56-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:e42c644a70d5c54f53a4b114dbd88b4eb83f42a9ca998f07bd5682f3f404efcc"},
|
||||
{file = "opencv_python-4.5.3.56-cp37-cp37m-win32.whl", hash = "sha256:f3ac2355217114a683f3f72a9c40a5890914a59c4a2df62e4083c66ff65c9cf9"},
|
||||
{file = "opencv_python-4.5.3.56-cp37-cp37m-win_amd64.whl", hash = "sha256:7f41b97d84ac66bdf13cb4d9f4dad3e159525ba1e3f421e670c787ce536eb70a"},
|
||||
{file = "opencv_python-4.5.3.56-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:cdc3363c2911d7cfc6c9f55308c51c2841a7aecbf0bf5e791499d220ce89d880"},
|
||||
{file = "opencv_python-4.5.3.56-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:18a4a14015eee30d9cd514db8cdefbf594b1d5c234762d27abe512d62a333bc3"},
|
||||
{file = "opencv_python-4.5.3.56-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:05c5139d620e8d02f7ce0921796d55736fa19fa15e2ec00a388db2eb1ae1e9a1"},
|
||||
{file = "opencv_python-4.5.3.56-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:831b92fe63ce18dd628f71104da7e60596658b75e2fa16b83aefa3eb10c115e2"},
|
||||
{file = "opencv_python-4.5.3.56-cp38-cp38-win32.whl", hash = "sha256:e1f54736272830a1e895cedf7a4ee67737e31e966d380c82a81ef22515d043a3"},
|
||||
{file = "opencv_python-4.5.3.56-cp38-cp38-win_amd64.whl", hash = "sha256:b42bbba9f5421865377c7960bd4f3dd881003b322a6bf46ed2302b89224d102b"},
|
||||
{file = "opencv_python-4.5.3.56-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:5366fcd6eae4243add3c8c92142045850f1db8e464bcf0b75313e1596b2e3671"},
|
||||
{file = "opencv_python-4.5.3.56-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:54c64e86a087841869901fd34462bb6bec01cd4652800fdf5d92fe7b0596c82f"},
|
||||
{file = "opencv_python-4.5.3.56-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:8852be06c0749fef0d9c58f532bbcb0570968c59e41cf56b90f5c92593c6e108"},
|
||||
{file = "opencv_python-4.5.3.56-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:8b5bc61be7fc8565140b746288b370a4bfdb4edb9d680b66bb914e7690485db1"},
|
||||
{file = "opencv_python-4.5.3.56-cp39-cp39-win32.whl", hash = "sha256:085232718f28bddd265da480874c37db5c7354cb08f23f4a68a8639b16276a89"},
|
||||
{file = "opencv_python-4.5.3.56-cp39-cp39-win_amd64.whl", hash = "sha256:205a73adb29c37e42475645519e612e843a985475da993d10b4d5daa6afec36a"},
|
||||
]
|
||||
packaging = [
|
||||
{file = "packaging-21.2-py3-none-any.whl", hash = "sha256:14317396d1e8cdb122989b916fa2c7e9ca8e2be9e8060a6eff75b6b7b4d8a7e0"},
|
||||
{file = "packaging-21.2.tar.gz", hash = "sha256:096d689d78ca690e4cd8a89568ba06d07ca097e3306a4381635073ca91479966"},
|
||||
{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
|
||||
{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
|
||||
]
|
||||
piexif = [
|
||||
{file = "piexif-1.1.3-py2.py3-none-any.whl", hash = "sha256:3bc435d171720150b81b15d27e05e54b8abbde7b4242cddd81ef160d283108b6"},
|
||||
|
|
@ -664,8 +755,8 @@ pygments = [
|
|||
{file = "Pygments-2.10.0.tar.gz", hash = "sha256:f398865f7eb6874156579fdf36bc840a03cab64d1cde9e93d68f46a425ec52c6"},
|
||||
]
|
||||
pyparsing = [
|
||||
{file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
|
||||
{file = "pyparsing-2.4.7.tar.gz", hash = "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1"},
|
||||
{file = "pyparsing-3.0.6-py3-none-any.whl", hash = "sha256:04ff808a5b90911829c55c4e26f75fa5ca8a2f5f36aa3a51f68e27033341d3e4"},
|
||||
{file = "pyparsing-3.0.6.tar.gz", hash = "sha256:d9bdec0013ef1eb5a84ab39a3b3868911598afa494f5faa038647101504e2b81"},
|
||||
]
|
||||
pytz = [
|
||||
{file = "pytz-2021.3-py2.py3-none-any.whl", hash = "sha256:3672058bc3453457b622aab7a1c3bfd5ab0bdae451512f6cf25f64ed37f5b87c"},
|
||||
|
|
@ -680,12 +771,12 @@ six = [
|
|||
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||
]
|
||||
snowballstemmer = [
|
||||
{file = "snowballstemmer-2.1.0-py2.py3-none-any.whl", hash = "sha256:b51b447bea85f9968c13b650126a888aabd4cb4463fca868ec596826325dedc2"},
|
||||
{file = "snowballstemmer-2.1.0.tar.gz", hash = "sha256:e997baa4f2e9139951b6f4c631bad912dfd3c792467e2f03d7239464af90e914"},
|
||||
{file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
|
||||
{file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
|
||||
]
|
||||
sphinx = [
|
||||
{file = "Sphinx-4.2.0-py3-none-any.whl", hash = "sha256:98a535c62a4fcfcc362528592f69b26f7caec587d32cd55688db580be0287ae0"},
|
||||
{file = "Sphinx-4.2.0.tar.gz", hash = "sha256:94078db9184491e15bce0a56d9186e0aec95f16ac20b12d00e06d4e36f1058a6"},
|
||||
{file = "Sphinx-4.3.0-py3-none-any.whl", hash = "sha256:7e2b30da5f39170efcd95c6270f07669d623c276521fee27ad6c380f49d2bf5b"},
|
||||
{file = "Sphinx-4.3.0.tar.gz", hash = "sha256:6d051ab6e0d06cba786c4656b0fe67ba259fe058410f49e95bee6e49c4052cbf"},
|
||||
]
|
||||
sphinxcontrib-applehelp = [
|
||||
{file = "sphinxcontrib-applehelp-1.0.2.tar.gz", hash = "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"},
|
||||
|
|
@ -716,9 +807,8 @@ toml = [
|
|||
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
|
||||
]
|
||||
typing-extensions = [
|
||||
{file = "typing_extensions-3.10.0.2-py2-none-any.whl", hash = "sha256:d8226d10bc02a29bcc81df19a26e56a9647f8b0a6d4a83924139f4a8b01f17b7"},
|
||||
{file = "typing_extensions-3.10.0.2-py3-none-any.whl", hash = "sha256:f1d25edafde516b146ecd0613dabcc61409817af4766fbbcfb8d1ad4ec441a34"},
|
||||
{file = "typing_extensions-3.10.0.2.tar.gz", hash = "sha256:49f75d16ff11f1cd258e1b988ccff82a3ca5570217d7ad8c5f48205dd99a677e"},
|
||||
{file = "typing_extensions-4.0.0-py3-none-any.whl", hash = "sha256:829704698b22e13ec9eaf959122315eabb370b0884400e9818334d8b677023d9"},
|
||||
{file = "typing_extensions-4.0.0.tar.gz", hash = "sha256:2cdf80e4e04866a9b3689a51869016d36db0814d84b8d8a568d22781d45d27ed"},
|
||||
]
|
||||
urllib3 = [
|
||||
{file = "urllib3-1.26.7-py2.py3-none-any.whl", hash = "sha256:c4fdf4019605b6e5423637e01bc9fe4daef873709a7973e195ceba0a62bbc844"},
|
||||
|
|
|
|||
|
|
@ -48,6 +48,7 @@ python = "^3.8"
|
|||
pillow = "^8.2.0"
|
||||
piexif = "^1.1.3"
|
||||
crayons = "^0.4.0"
|
||||
opencv-python = "^4.5.0"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
mypy = "^0.910"
|
||||
|
|
|
|||
|
|
@ -26,6 +26,8 @@ __revision__ = "$Date: 2019/06/04 $"
|
|||
__license__ = "GPLv3"
|
||||
|
||||
import itertools
|
||||
import cv2
|
||||
import numpy as np
|
||||
import math
|
||||
from typing import Dict, Iterator, List
|
||||
|
||||
|
|
@ -231,3 +233,25 @@ def LFSR(m: int) -> Iterator[int]:
|
|||
# Convert the registers to an int
|
||||
out = sum([e * (2 ** i) for i, e in enumerate(state)])
|
||||
yield out
|
||||
|
||||
|
||||
def shi_tomashi(image: str,
|
||||
corners: int = 100,
|
||||
quality: float = 0.01,
|
||||
min_distance: float = 10) -> Iterator[int]:
|
||||
"""Shi-Tomachi corner generator of the given points
|
||||
https://docs.opencv.org/4.x/d4/d8c/tutorial_py_shi_tomasi.html
|
||||
"""
|
||||
image = cv2.imread(image)
|
||||
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
||||
corners = cv2.goodFeaturesToTrack(gray, corners, quality, min_distance)
|
||||
corners = np.int0(corners)
|
||||
i = 0
|
||||
while True:
|
||||
x, y = corners[i].ravel()
|
||||
# Compute the pixel number with top left of image as origin
|
||||
# using coordinates of the corner.
|
||||
# (y * number of pixels a row) + pixels left in last row
|
||||
yield (y * image.shape[1]) + x
|
||||
i += 1
|
||||
|
||||
|
|
|
|||
1000
tests/expected-results/shi_tomashi.txt
Normal file
1000
tests/expected-results/shi_tomashi.txt
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -27,6 +27,8 @@ __license__ = "GPLv3"
|
|||
|
||||
import unittest
|
||||
import itertools
|
||||
import cv2
|
||||
import numpy as np
|
||||
|
||||
from stegano.lsbset import generators
|
||||
|
||||
|
|
@ -166,6 +168,41 @@ class TestGenerators(unittest.TestCase):
|
|||
tuple(int(line) for line in f),
|
||||
)
|
||||
|
||||
def test_shi_tomashi(self):
|
||||
""" Test the Shi Tomashi generator
|
||||
"""
|
||||
|
||||
# The expected results are only for tests/sample-files/Montenach.png file and
|
||||
# the below mentioned shi-tomashi configuration.
|
||||
# If the values below are changed,
|
||||
# please ensure the tests/expected-results/shi_tomashi.txt
|
||||
# is also appropriately modified
|
||||
# Using the shi_tomashi_reconfigure static method
|
||||
|
||||
image = cv2.imread("tests/sample-files/Montenach.png")
|
||||
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
||||
corners = cv2.goodFeaturesToTrack(gray, 1000, 0.001, 10)
|
||||
corners = np.int0(corners)
|
||||
corners = corners.reshape(corners.shape[0], -1)
|
||||
test_file = np.loadtxt("tests/expected-results/shi_tomashi.txt")
|
||||
test_file_reshaped = test_file.reshape(test_file.shape[0], test_file.shape[1])
|
||||
self.assertIsNone(np.testing.assert_array_equal(corners, test_file_reshaped))
|
||||
|
||||
@staticmethod
|
||||
def shi_tomashi_reconfigure(file_name: str,
|
||||
corners: int = 1000,
|
||||
quality: float = 0.001,
|
||||
min_distance: int = 10):
|
||||
"""
|
||||
Method to update/reconfigure Shi-Tomashi for various images and configuration
|
||||
"""
|
||||
image = cv2.imread(file_name)
|
||||
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
||||
corners = cv2.goodFeaturesToTrack(gray, corners, quality, min_distance)
|
||||
corners = np.int0(corners)
|
||||
corners = corners.reshape(corners.shape[0], -1)
|
||||
np.savetxt('tests/expected-results/shi_tomashi.txt', corners)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
|
|
|
|||
|
|
@ -68,6 +68,18 @@ class TestLSBSet(unittest.TestCase):
|
|||
|
||||
self.assertEqual(message, clear_message)
|
||||
|
||||
def test_hide_and_reveal_with_shi_tomashi(self):
|
||||
messages_to_hide = ["foo bar"]
|
||||
for message in messages_to_hide:
|
||||
secret = lsbset.hide(
|
||||
"./tests/sample-files/Lenna.png", message, generators.shi_tomashi("./tests/sample-files/Lenna.png")
|
||||
)
|
||||
secret.save("./image.png")
|
||||
|
||||
clear_message = lsbset.reveal("./image.png", generators.shi_tomashi("./tests/sample-files/Lenna.png"))
|
||||
|
||||
self.assertEqual(message, clear_message)
|
||||
|
||||
def test_hide_and_reveal_with_shift(self):
|
||||
messages_to_hide = ["a", "foo", "Hello World!", ":Python:"]
|
||||
for message in messages_to_hide:
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue