Kazuhito00/DIS-ONNX-Sample
背景除去モデルであるDIS/IS-NetのPythonでのONNX推論サンプル
This tool helps content creators, marketers, or anyone needing to isolate subjects in images or videos by removing backgrounds. You provide an image or video, and it outputs the same media with the background precisely cut out. This is ideal for quickly creating transparent backgrounds for various visual content needs.
No commits in the last 6 months.
Use this if you need a quick and efficient way to remove backgrounds from still images or live video feeds.
Not ideal if you require extremely fine-grained, manual control over the background removal process for highly complex images.
Stars
18
Forks
—
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Kazuhito00/DIS-ONNX-Sample"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
wkentaro/osam
Get up and running with SAM1-3, EfficientSAM, YOLO-World, and other promptable vision models locally.
juglab/EmbedSeg
Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
lartpang/awesome-segmentation-saliency-dataset
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile: