Efficient-Det Implementation in Tensorflow Keras
Project description
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
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-0.0.1.tar.gz
(27.9 kB
view details)
Built Distribution
File details
Details for the file efficient-det-0.0.1.tar.gz
.
File metadata
- Download URL: efficient-det-0.0.1.tar.gz
- Upload date:
- Size: 27.9 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 | b4f73046b41ce6a6b2a4f389cb82eecf7e3dac5bffbb2deb204e354062ce2f67 |
|
MD5 | 25510999257d3dfee528a7f96d938d31 |
|
BLAKE2b-256 | 15d5eda127f5c1191bf08149b554edb2da7b77b56ce7d252cba486184b129b75 |
File details
Details for the file efficient_det-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: efficient_det-0.0.1-py3-none-any.whl
- Upload date:
- Size: 37.2 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 | 36547b87f7d1471cc2b69c97394b759d8794b4f71ddc3aca2fe095f20405ad87 |
|
MD5 | e25662ec41a9e4aa0cbf425ae2c0ebf5 |
|
BLAKE2b-256 | d17e6ea46ece99f01a30ed2d83b72b0453c884194637051d0a62188ca193561a |