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-0.0.7.tar.gz
(28.1 kB
view hashes)
Built Distribution
Close
Hashes for efficient_det-0.0.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1e0c5f290b7bf6006efe46cf9853df6bffdb89393f7e2769724b20713f824113 |
|
MD5 | d5f762a94a64b2ff1a31467e16ba4fe5 |
|
BLAKE2b-256 | 38f4f4548d3edf562bd5601f964e0173c8d0cf4bdac6d0136acfb322731ea1ea |