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GitHub / pultarmi / HardNet_MultiDataset
Provided code allows to train HardNet8 (described in the thesis) on multiple datasets of format of Liberty or AMOS.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pultarmi%2FHardNet_MultiDataset
Stars: 26
Forks: 5
Open Issues: 20
License: mit
Language: Python
Repo Size: 4.81 MB
Dependencies:
126
Created: about 5 years ago
Updated: about 1 year ago
Last pushed: over 1 year ago
Last synced: 9 months ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- Jinja2 ==2.11.1
- Keras-Preprocessing ==1.1.2
- Markdown ==3.2.2
- MarkupSafe ==1.1.1
- Pillow ==7.0.0
- PyYAML ==5.3.1
- Pygments ==2.6.1
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- Shapely ==1.7.0
- Werkzeug ==1.0.1
- absl-py ==0.9.0
- astunparse ==1.6.3
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.3
- blis ==0.4.1
- cachetools ==4.1.0
- catalogue ==1.0.0
- certifi ==2020.4.5.1
- chardet ==3.0.4
- cycler ==0.10.0
- cymem ==2.0.3
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.1.1
- entrypoints ==0.3
- fastprogress ==0.2.2
- fastscript ==0.1.4
- fire ==0.2.1
- future ==0.18.2
- gast ==0.3.3
- google-auth ==1.15.0
- google-auth-oauthlib ==0.4.1
- google-pasta ==0.2.0
- grpcio ==1.29.0
- h5py ==2.10.0
- idna ==2.9
- imageio ==2.8.0
- ipykernel ==5.1.4
- ipython ==7.13.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.16.0
- joblib ==0.14.1
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.0
- jupyter-console ==6.1.0
- jupyter-core ==4.6.3
- kiwisolver ==1.1.0
- kornia ==0.3.0
- matplotlib ==3.2.1
- mistune ==0.8.4
- mkl-fft ==1.0.15
- mkl-random ==1.1.0
- mkl-service ==2.3.0
- multiprocess ==0.70.9
- murmurhash ==1.0.2
- nbconvert ==5.6.1
- nbdev ==0.2.15
- nbformat ==5.0.4
- notebook ==6.0.3
- numpy ==1.18.4
- numpy-indexed ==0.3.5
- oauthlib ==3.1.0
- olefile ==0.46
- opencv-contrib-python ==4.2.0.34
- opencv-python ==3.4.8.29
- opt-einsum ==3.2.1
- packaging ==20.3
- pandas ==1.0.3
- pandocfilters ==1.4.2
- parse ==1.15.0
- parso ==0.6.2
- pathos ==0.2.5
- pexpect ==4.8.0
- pickleshare ==0.7.5
- plac ==1.1.3
- pox ==0.2.7
- ppft ==1.6.6.1
- preshed ==3.0.2
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.4
- protobuf ==3.12.2
- ptyprocess ==0.6.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pyparsing ==2.4.6
- pyrsistent ==0.15.7
- python-dateutil ==2.8.1
- pytorch-metric-learning ==0.9.78
- pytz ==2019.3
- pyzmq ==19.0.0
- qtconsole ==4.7.2
- requests ==2.23.0
- requests-oauthlib ==1.3.0
- rsa ==4.0
- scikit-learn ==0.22.2.post1
- scipy ==1.4.1
- seaborn ==0.10.0
- six ==1.15.0
- sklearn ==0.0
- spacy ==2.2.4
- spatial ==0.2.0
- srsly ==1.0.2
- tabulate ==0.8.6
- tensorboard ==2.2.2
- tensorboard-plugin-wit ==1.6.0.post3
- tensorflow ==2.2.0
- tensorflow-estimator ==2.2.0
- termcolor ==1.1.0
- terminado ==0.8.3
- testpath ==0.4.4
- thinc ==7.4.0
- torch ==1.4.0
- torchvision ==0.5.0
- tornado ==6.0.4
- tqdm ==4.43.0
- traitlets ==4.3.3
- urllib3 ==1.25.9
- wasabi ==0.6.0
- wcwidth ==0.1.8
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- wrapt ==1.12.1