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leaf-recognition's Introduction

leaf-recognition

A python desktop application used to recognise species from its leaf image. Uses concepts of Image Processing and Machine Learning. It classifies the following 7 species

  1. Acer Palmatum
  2. Cedrus Deodara
  3. Cercis Chinesis
  4. Citrus Reticulata Blanco
  5. Gingko Biloba
  6. Liriodendron Chinense
  7. Nerium Oleander

To run the project run Executioner.py

For further details please refer Project Details.pdf

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leaf-recognition's People

Contributors

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Forkers

chaitali1006 astw xyrobo wahyuadhe90 smjameeruddin oatzedd anujadassanayake

leaf-recognition's Issues

Running python Executioner.py gives segmentation fault

(my_project_env) varghese@varghese-Latitude-5480:~/my_project_dir/leaf-recognition-master$ python Executioner.py
/home/varghese/my_project_dir/my_project_env/lib/python3.6/site-packages/sklearn/externals/joblib/init.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
warnings.warn(msg, category=DeprecationWarning)
Segmentation fault (core dumped)

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