Efficient-Det Implementation in Tensorflow Keras
Project description
EfficientDet
Execute all commands in efficientdet/
export PYTHONPATH="$PWD/src"
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
efficient-det-0.0.9.tar.gz
(27.9 kB
view hashes)
Built Distribution
Close
Hashes for efficient_det-0.0.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dac74981454617e8cc5fdf8601257b6eaed6f1e744f979250117787bfb3865cf |
|
MD5 | f823116aa6442d54ad83aff8730c88e7 |
|
BLAKE2b-256 | 23d533382dbe2cf30bb5df526badb447a2ea1c808e86372c338cc9783a301a49 |