Python interface for the FRUIT Fortran unit testing framework
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Updated
Mar 3, 2020 - Python
Python interface for the FRUIT Fortran unit testing framework
Software de uma fruteira desenvolvida em Python
Our project utilizes deep learning to detect diseases in citrus fruits swiftly and accurately. With a curated dataset and optimized CNN models, we empower farmers with a user-friendly tool for early disease detection, precision agriculture, and informed decision-making. Contributions and collaborations are welcome for further advancements.
This repository contains the code related to the paper "Stop overkilling simple tasks with black-box models, use more transparent models instead"
I said I wouldn't program for like 3 months, so this is future programming, totally temporal computing to those guys pretending they're controlling temporal computing with a physical system despite physical temporal seperability for temporal constructs..
A chasing game with fruit. I made it.
Extract geometric traits from images of tomatoes, peppers, and more.
Detect 3D position of the target fruit with RGB image and depth map
A vessel dashboard featuring current vessels with RSA fruit on.
A boring 33 class fruit classifier.
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