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GitHub / bertagallegoprm / Deep-learning-classifiers-for-plant-identification
My MSc (2020) final proyect on plant species identification using deep learning.
Stars: 0
Forks: 1
Open Issues: 20
License: None
Language: Jupyter Notebook
Repo Size: 87.5 MB
Dependencies:
88
Created: about 4 years ago
Updated: 26 days ago
Last pushed: 27 days ago
Last synced: 18 days ago
Topics: convolutional-neural-networks, data-processing, deep-learning, image-classification, transfer-learning
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Dependencies
requirements.txt
pypi
- Fiona ==1.8.13.post1
- Geometry ==0.0.23
- Jinja2 ==2.11.2
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.1
- Markdown ==3.2.2
- MarkupSafe ==1.1.1
- Pillow ==7.1.2
- Pygments ==2.6.1
- Send2Trash ==1.5.0
- Shapely ==1.7.0
- Werkzeug ==1.0.1
- absl-py ==0.9.0
- astor ==0.8.1
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.5
- certifi ==2020.4.5.1
- chardet ==3.0.4
- click ==7.1.2
- click-plugins ==1.1.1
- cligj ==0.5.0
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- descartes ==1.1.0
- entrypoints ==0.3
- gast ==0.3.3
- geopandas ==0.7.0
- google-pasta ==0.2.0
- grpcio ==1.28.1
- h5py ==2.10.0
- idna ==2.9
- importlib-metadata ==1.6.0
- ipykernel ==5.2.1
- ipython ==7.14.0
- ipython-genutils ==0.2.0
- jedi ==0.17.0
- joblib ==0.15.1
- jsonschema ==3.2.0
- jupyter-client ==6.1.3
- jupyter-core ==4.6.3
- kiwisolver ==1.2.0
- matplotlib ==3.2.1
- mistune ==0.8.4
- munch ==2.5.0
- nbconvert ==5.6.1
- nbformat ==5.0.6
- notebook ==6.0.3
- numpy ==1.18.4
- packaging ==20.3
- pandas ==1.0.3
- pandocfilters ==1.4.2
- parso ==0.7.0
- pexpect ==4.8.0
- pickleshare ==0.7.5
- pkg-resources ==0.0.0
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.5
- protobuf ==3.11.3
- ptyprocess ==0.6.0
- pydot-ng ==2.0.0
- pydotplus ==2.0.2
- pyparsing ==2.4.7
- pyproj ==2.6.1.post1
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytz ==2020.1
- pyzmq ==19.0.1
- requests ==2.23.0
- scikit-learn ==0.23.1
- scipy ==1.4.1
- six ==1.14.0
- sklearn ==0.0
- tensorboard ==1.14.0
- tensorflow ==1.14.0
- tensorflow-estimator ==1.14.0
- termcolor ==1.1.0
- terminado ==0.8.3
- testpath ==0.4.4
- threadpoolctl ==2.1.0
- tornado ==6.0.4
- traitlets ==4.3.3
- urllib3 ==1.25.9
- wcwidth ==0.1.9
- webencodings ==0.5.1
- wrapt ==1.12.1
- zipp ==3.1.0