36g Rain Tagger is an automated image tagging software.
With it, you can:
- Run a python api tagger that crawls a file system, mapping a set of 10.8k tags to each image.
- Host a web UI to search tagged images. Searching can be done via tags, or image upload.
36g Rain Tagger uses timm and leverages the model SmilingWolf/wd-swinv2-tagger-v3.
It should run on Linux and Windows.
It is named after 36g.
git clone https://github.com/skwzrd/36g-Rain-Tagger
cd 36g-Rain-Tagger
python3.12 -m venv venv
source venv/bin/activate
python3.12 -m pip install -r requirements.txt
# copy configs_copy.toml to configs.toml
# set variables in your configs.toml
cd src/Note: The tagger will automatically download the image tagging model and save it to ~/.cache/huggingface/hub.
The web ui is run with python3.12 web.py and the tagger is run with python3.12 tagger.py.
| Device | Images | Total Time (s) | Time per Image (s) |
|---|---|---|---|
| 4060 TI 16GB GPU | 45 | 2.172 | 0.048 |
| 5700X x 8 CPU | 45 | 21.277 | 0.473 |
| i7 8665U x 8 CPU | 45 | 76.273 | 1.695 |
0.1s - 0.4s results on hundreds of thousands of images.
Searched 238,302 in 0.313s and found 25 results.