DeepCell-RetinaMask
deepcell-retinamask is a deep learning library for building RetinaNet and RetinaMask based object detection models with tensorflow and deepcell-tf.
This project was heavily influenced by keras-retinanet and keras-maskrcnn.
Install
deepcell-retinamask can be easily installed with pip:
$ pip install deepcell-retinamask
Examples
For examples of how to train models with the deepcell-retinamask library, check out the following notebooks:
1 maintainer
Metadata
1 maintainer
Release files for DeepCell-RetinaMask 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| DeepCell-RetinaMask-0.1.1.tar.gz | 60.0 kB | Details |
Release files / DeepCell-RetinaMask-0.1.1.tar.gz
| Download URL | DeepCell-RetinaMask-0.1.1.tar.gz |
|---|---|
| Size | 60.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
220d89c6272f91f61d2aa3c8bc3ccb72b4c97a9c0f4a9a35bc0a55202dca90da
|
|
BLAKE2b-256 checksum How to use checksums |
4310ed398f25772416b8dc45232576f86bc00dda1d8a21e023baf7eb69e28648
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
|
