Awesome ritm_annotation created by lucasew
Project description
ritm_annotation
Tool to do dataset annotation for semantic segmentation datasets.
Based on SamsungLabs/ritm_interactive_segmentation
Work in progress
Install it from PyPI
pip install ritm_annotation
Running it using Nix flakes
nix run github:lucasew/ritm_annotation -- --help
Usage
$ python -m ritm_annotation --help
# or
$ ritm_annotation --help
Pretrained model weights
Here you can download pretrained weights
In my tests I used coco_lvis_h18_itermask.pth (SHA256 5f69cfce354d1507e3850bfc39ee7057c8dd27b6a4910d1d2dc724916b9ee32b)
Development
Read the CONTRIBUTING.md file.
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
ritm_annotation-0.1.0.tar.gz
(77.6 kB
view details)
Built Distribution
File details
Details for the file ritm_annotation-0.1.0.tar.gz.
File metadata
- Download URL: ritm_annotation-0.1.0.tar.gz
- Upload date:
- Size: 77.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a676bf283f677c847c674938ad63cf838cda9ab1450e92071fc7f6d419ad0433 |
|
| MD5 | e61a8f8c0555bf32296568cde02e1d82 |
|
| BLAKE2b-256 | 29ca0c58350158815a44d1b27d7e3d88747d1fe6aca96b84ee149d7664d6a4ce |
Provenance
File details
Details for the file ritm_annotation-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ritm_annotation-0.1.0-py3-none-any.whl
- Upload date:
- Size: 135.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d9f636941b0b3ba70c71e9d9a173a14f9c4e559fd5bf0ddb6b991f34545accdc |
|
| MD5 | 09efae9f6bac13b31699db83f333434e |
|
| BLAKE2b-256 | b5268df6da7b5f36670fda66bad98dfd6f21c3b3966a42cadce8da9568f87573 |
