pytorch implimentation of u2net architecture
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Updated
Jan 18, 2024 - Jupyter Notebook
pytorch implimentation of u2net architecture
Background Removal and Replacement API built using the Sanic Framework
Brain Tumor Segmentation using U2-Net Architecture
This repo generates a synthetic image of a person wearing a target clothing. It requires an image of a person and a target clothing as inputs.
U2Net + ISNet GT encoder, training base on ssim loss, iou loss and bce loss,experimented on tooth segmentation on panoramic X-ray images.
A telegram bot that can remove background from an image without any api or limits ✌. Accurate and fast image processing with speed of life. Tons of features ✌
SCSST (Saliency Clothes Segmentation and Style Transfer), Change style of your clothes on the fly!
a dual Attention U2Net and lightweighting model
Minimal scripts for testing U-2-Net models in Keras
Neural networks do line art stylization
基于u2net网络进行简单修改使其部署到rk3588板子上
It should take a photo containing clothing as input, and then output the masked and cropped photo
App that uses some of the AWS functionalities. Enables storing images in S3 Bucket and utilizes Lambda to execute operations on an image and save it back to S3.
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