Metadata-Version: 2.1
Name: efficient-det
Version: 0.0.10
Summary: Efficient-Det Implementation in Tensorflow Keras
Home-page: https://git.hhu.de/zeboz100/efficientdet
Author: Zeynep Boztoprak
Author-email: zeynep.boztoprak@hhu.de
License: UNKNOWN
Project-URL: Bug Tracker, https://git.hhu.de/zeboz100/efficientdet/-/issues
Description: ## EfficientDet
        
        export PYTHONPATH="$PWD/src"
        
        Execute all commands in **efficientdet/**
        
        
        #### To run all tests:
        
        * And run **python3 -m unittest**
        
        #### To traing neural network
        
        * **python3 train.py**
        
        * Training will be logged with Tensorboard. To take a look at the training progress do: **tensorboard --logdir logs**
        
        #### To test loaded model
        * Notebook in example_prediction/example_prediction.py
        * You need to set dataset path
        * You need to set path to trained model
        
        * path for notebook and python script are different
        * execute python script from efficientdet/ with python3 example/efficient_det_d0.py
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
