Efficient-Det Implementation in Keras
Project description
EfficientDet
Start with following command:
export PYTHONPATH="$PWD/src"
All commands should be executed in efficientdet/.
To test trained model on validation dataset you can use the jupyter notebook or python script in examples/.
For your own implementation set the dataset path and path to the trained model. Default paths are set to efficient/dataset.
To run all tests:
python3 -m unittest
To train neural network
python3 src/efficient_det/train.py --dataset_path /path/to/dataset/
When using Ray Tune verbose is default set to False. Use W&B for visualization.
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-0.0.12.tar.gz
(27.6 kB
view details)
Built Distribution
File details
Details for the file efficient-det-0.0.12.tar.gz.
File metadata
- Download URL: efficient-det-0.0.12.tar.gz
- Upload date:
- Size: 27.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8cb3fad4a121afaac20c115ed51ee5fe1baa5ca3cf9f300534bf5bc8310414ee |
|
| MD5 | 53cf1d91a64473fc8e81037e539c1b23 |
|
| BLAKE2b-256 | 753777bd0864ea47a546a55bcea2ceeae0e3a96eeb5681f14fd41cb4c5d547c4 |
File details
Details for the file efficient_det-0.0.12-py3-none-any.whl.
File metadata
- Download URL: efficient_det-0.0.12-py3-none-any.whl
- Upload date:
- Size: 36.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0c0964adfbd66e3a146fb3c8c2df472a2d2987247be6a70feeacffb3ed913254 |
|
| MD5 | 83bafddc3123dfa6d6f0199557682272 |
|
| BLAKE2b-256 | a6aa4e3141e67e2fbf72f5ddc1bff1c7d09113d15a625dff8d0d4d0bcf63f21d |
