NSFW Recog
This library is meant to detect and censor nsfw content in public media. Models can be found here, they are downloaded automatically and cached.
Installation
- install requirements.txt
- install pytorch according to your cuda version
- (optional) install onnxruntime-gpu to support cuda usage
Usage
Instantiate a NsfwDetector class and use the methods detect(), blur(), video() and camera(). The demos show the usage:
- demo_detect.py: Detecting body parts/objects in an image
- demo_camera.py: Live detecting objects in a webcam stream
- demo_video.py: Detecting objects in a video and draw bounding boxes and labels to a new video
- demo_blur.py: Detecting objects in an image and blurring them.
1 maintainer
Release files for nsfwrecog 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nsfwrecog-1.0.tar.gz | 8.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nsfwrecog-1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.0 kB
Release files / nsfwrecog-1.0.tar.gz
| Download URL | nsfwrecog-1.0.tar.gz |
|---|---|
| Size | 8.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.17
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Release files / nsfwrecog-1.0-py3-none-any.whl
| Download URL | nsfwrecog-1.0-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
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