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.
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
ritm_annotation-0.0.10.tar.gz
(77.6 kB
view details)
Built Distribution
File details
Details for the file ritm_annotation-0.0.10.tar.gz
.
File metadata
- Download URL: ritm_annotation-0.0.10.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 | 16f5c82ce7d1f066b60aa22c5298013ddf639d531c9bf39b122c3a6c07601034 |
|
MD5 | 3ca560768430d8f47f5c1455134ee1dc |
|
BLAKE2b-256 | 37a87b51fcecadb230d1c9f59ee5ec7d42175ba9444e50055479a691e339329a |
Provenance
File details
Details for the file ritm_annotation-0.0.10-py3-none-any.whl
.
File metadata
- Download URL: ritm_annotation-0.0.10-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 | 760c396a982d015ce5a65b0d16d552bad1abc20ea38e1bbe44d991eb3011ab07 |
|
MD5 | e7ee09e38ff452f639fde68d2f15ac15 |
|
BLAKE2b-256 | 82a6f8a740e6751fe8ce997ac35d4a10df1d6a11c711473916cfbd17a5feafff |