Metadata-Version: 2.1
Name: efficient-det
Version: 0.0.2
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
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
Requires-Dist: tensorflow (>=2.4.0)
Requires-Dist: ray[default]
Requires-Dist: ray[tune]
Requires-Dist: matplotlib
Requires-Dist: wandb
Requires-Dist: pillow
Requires-Dist: progressbar2

## EfficientDet

Execute all commands in **efficientdet/efficient_det**

#### 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**

#### Try prediction on test image with

* python3 example_prediction.py 


