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-0.0.5.tar.gz
(28.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file efficient-det-0.0.5.tar.gz.
File metadata
- Download URL: efficient-det-0.0.5.tar.gz
- Upload date:
- Size: 28.0 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 |
1597fa691f72a160e76edd7dd6c93584c3e31afec87c53588f239dc3f3e24e8c
|
|
| MD5 |
b6cd91b65c1c1f3d4df1893747a61ac6
|
|
| BLAKE2b-256 |
4d53b96150143df94aeb251e83a5bc8c81694fbb416a97c957fde9801350dc85
|
File details
Details for the file efficient_det-0.0.5-py3-none-any.whl.
File metadata
- Download URL: efficient_det-0.0.5-py3-none-any.whl
- Upload date:
- Size: 37.9 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 |
b9cc3984fe21440184469c387d8959161995b1310bf9b113286ccc7282fcd049
|
|
| MD5 |
2a57e12baf6c16c4456c18bf444009d3
|
|
| BLAKE2b-256 |
b040af03d2d42cc3a6f5343467d6123c2b1ea912b1ef0ba37dad4311ca7f5ca7
|