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-0.0.8.tar.gz
(28.0 kB
view hashes)
Built Distribution
Close
Hashes for efficient_det-0.0.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1af141b649d903d27e5746ddef35c0c034953aacb8ca53a41d6cdf65aed12994 |
|
MD5 | 4b4fc305c551bbe98be91a5c4e3674ca |
|
BLAKE2b-256 | 471f5dd3d1fb7bab0a427262ce40301ac45bcfe3ec5637c1a549491b4864f74c |