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ak-sw-benchmarker


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Author: Juan Carlos Miranda, Jaume Arno, Jordi Gene-Mola, Spyros Fountas, Eduard Gregorio
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Summary: AK_SW_BENCHMARKER that makes it possible to apply different sizing algorithms and allometric yield prediction models to manually labeled color and depth tree images.
Latest version: 0.0.9
Required dependencies: bleach | build | certifi | charset-normalizer | colorama | contourpy | cycler | docutils | fonttools | idna | importlib-metadata | importlib-resources | jaraco.classes | joblib | keyring | kiwisolver | lxml | markdown-it-py | matplotlib | mdurl | more-itertools | numpy | opencv-python | packaging | pandas | path | pillow | pip | pkginfo | pygments | pyk4a | pyparsing | pyproject-hooks | python-dateutil | python-version | pytz | pywin32-ctypes | readme-renderer | requests | requests-toolbelt | rfc3986 | rich | scikit-learn | scipy | six | threadpoolctl | tomli | twine | typing-extensions | urllib3 | webencodings | zipp

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