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GitHub / dschori / Hemp-Segmentation
Hemp Segmentation and Classification
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dschori%2FHemp-Segmentation
Stars: 4
Forks: 1
Open Issues: 16
License: mit
Language: Jupyter Notebook
Repo Size: 96.7 MB
Dependencies:
120
Created: about 4 years ago
Updated: about 3 years ago
Last pushed: over 1 year ago
Last synced: 4 months ago
Topics: cannabis, cannabis-data, cannabis-oil, deep-learning, hemp, image-classification, image-segmentation, keras-tensorflow, remote-sensing, tensorflow2
Files
Dependencies
- Click ==7.0
- Fiona ==1.8.11
- GDAL ==3.0.2
- Jinja2 ==2.11.1
- Keras ==2.3.1
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- MarkupSafe ==1.1.1
- Pillow ==7.0.0
- PyOpenGL ==3.1.5
- PyWavelets ==1.1.1
- PyYAML ==5.3
- Pygments ==2.5.2
- Rtree ==0.9.3
- Send2Trash ==1.5.0
- Shapely ==1.6.4.post2
- Werkzeug ==0.16.1
- absl-py ==0.8.1
- affine ==2.3.0
- astor ==0.8.0
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.4
- cachetools ==4.0.0
- certifi ==2019.11.28
- click-plugins ==1.1.1
- cligj ==0.5.0
- cloudpickle ==1.2.2
- cycler ==0.10.0
- cytoolz ==0.10.1
- dask ==2.10.1
- decorator ==4.4.1
- defusedxml ==0.6.0
- descartes ==1.1.0
- entrypoints ==0.3
- filelock ==3.0.12
- future ==0.18.2
- gast ==0.2.2
- geopandas ==0.6.1
- google-pasta ==0.1.8
- grpcio ==1.16.1
- h5py ==2.10.0
- imageio ==2.6.1
- imgaug ==0.4.0
- importlib-metadata ==1.5.0
- inflect ==4.1.0
- ipykernel ==5.1.4
- ipython ==7.12.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jaraco.itertools ==5.0.0
- jedi ==0.16.0
- joblib ==0.14.1
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==5.3.4
- jupyter-console ==6.1.0
- jupyter-core ==4.6.1
- keras-vis ==0.4.1
- kiwisolver ==1.1.0
- lightgbm ==2.3.0
- llvmlite ==0.31.0
- lucid ==0.3.8
- matplotlib ==3.1.3
- mistune ==0.8.4
- mkl-fft ==1.0.15
- mkl-random ==1.1.0
- mkl-service ==2.3.0
- more-itertools ==8.2.0
- munch ==2.5.0
- nbconvert ==5.6.1
- nbformat ==5.0.4
- networkx ==2.4
- notebook ==6.0.3
- numba ==0.48.0
- numpy ==1.18.1
- olefile ==0.46
- opencv-python ==4.2.0.32
- opt-einsum ==3.1.0
- pandas ==1.0.0
- pandocfilters ==1.4.2
- parso ==0.6.0
- pexpect ==4.8.0
- pickleshare ==0.7.5
- prettytable ==0.7.2
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.3
- protobuf ==3.11.2
- ptyprocess ==0.6.0
- pydot ==1.4.1
- pyparsing ==2.4.6
- pyproj ==2.4.1
- pyrsistent ==0.15.7
- python-dateutil ==2.8.1
- pytz ==2019.3
- pyzmq ==18.1.1
- qtconsole ==4.6.0
- rasterio ==1.1.0
- scikit-image ==0.16.2
- scikit-learn ==0.22.1
- scipy ==1.4.1
- seaborn ==0.10.0
- six ==1.14.0
- snuggs ==1.4.7
- tensorboard ==2.0.0
- tensorflow ==2.0.1
- tensorflow-estimator ==2.0.0
- termcolor ==1.1.0
- terminado ==0.8.3
- testpath ==0.4.4
- toolz ==0.10.0
- tornado ==6.0.3
- traitlets ==4.3.3
- umap-learn ==0.3.10
- wcwidth ==0.1.8
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- wrapt ==1.11.2
- zipp ==2.1.0