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
Installation
- Pip
pip install ritm_annotation
- Nix flakes
Running it using Nix flakes
nix run github:lucasew/ritm_annotation -- --help
- Docker
docker run -ti ghcr.io/lucasew/ritm_annotation:latest bash
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-0.3.2.tar.gz
(89.8 kB
view details)
Built Distribution
File details
Details for the file ritm_annotation-0.3.2.tar.gz.
File metadata
- Download URL: ritm_annotation-0.3.2.tar.gz
- Upload date:
- Size: 89.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 649d65e068ad5c6b580f2f11da14b19d3914115493f5d39a9fb6d8a8a79e8b40 |
|
| MD5 | 3a1f27edbaff208b07f520bff174b783 |
|
| BLAKE2b-256 | 61aa8d94343ca997be8ae35c2f14d60750af8204cc893790a967b78a0b11536d |
Provenance
File details
Details for the file ritm_annotation-0.3.2-py3-none-any.whl.
File metadata
- Download URL: ritm_annotation-0.3.2-py3-none-any.whl
- Upload date:
- Size: 151.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 23fdb93df6d2914f29b8bacd183b74d90409cfa0ed01e814b26991a6bd11130b |
|
| MD5 | 37d6ef834eb0f56eaac6685cd440154d |
|
| BLAKE2b-256 | f451bc50c71f08fec1b01ad5ee5f9e9b15f6ad8a18bae933e9ce07be786de270 |
