Hacker News
- A Python tool that removes the background from images https://github.com/danielgatis/rembg 4 comments
- [Question] where to deploy remove background using u2net ml app ? (ec2, lambda or else?) https://github.com/danielgatis/rembg 2 comments computervision
- how do i get rembg on pop_os? https://github.com/danielgatis/rembg 2 comments pop_os
Linking pages
- GitHub - auctors/free-lunch: A curated list of free Windows software, online services and resources. Feel free to contribute! https://github.com/auctors/free-lunch 216 comments
- How I won $50.000 Telegram Sticker App Contest using Flutter – Telegraph https://bednarczuk.dev/How-I-won-50000-Telegram-Sticker-App-Contest-using-Flutter-04-06 139 comments
- GitHub - nadermx/backgroundremover: Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source. https://github.com/nadermx/backgroundremover 134 comments
- GitHub - Dakai/background-remover-for-kde-dolphin: A right click menu entry to use rembg to remove image's background in Kde Dolphin file manager https://github.com/Dakai/background-remover-for-kde-dolphin 8 comments
- GitHub - chaiNNer-org/chaiNNer: A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application. https://github.com/chaiNNer-org/chaiNNer 2 comments
- GitHub - ErikElcsics/Build-an-image-background-remover-in-Python-Streamlit: This project is a Streamlit-based web application with Python code that enables users to remove backgrounds from images. By leveraging the rembg library, it provides a user-friendly interface for uploading images, processing them to remove backgrounds, and downloading the results. https://github.com/ErikElcsics/Build-an-image-background-remover-in-Python-Streamlit 2 comments
- GitHub - YuliangXiu/ICON: ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022) https://github.com/YuliangXiu/ICON 1 comment
- How to remove background from images using Python? https://anish-shilpakar.com.np/remove-images-background-using-a-single-command 1 comment
- GitHub - xuebinqin/U-2-Net: The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection." https://github.com/NathanUA/U-2-Net 1 comment
- GitHub - cel7t/plyppy: Command-line Plymouth Boot Splash Generator https://github.com/cel7t/plyppy 1 comment
- GitHub - axinc-ai/ailia-models: The collection of pre-trained, state-of-the-art AI models for ailia SDK https://github.com/axinc-ai/ailia-models 0 comments
- awesome-stars/topics.md at master · maguowei/awesome-stars · GitHub https://github.com/maguowei/awesome-stars/blob/master/topics.md 0 comments
- GitHub - TencentARC/InstantMesh: InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models https://github.com/TencentARC/InstantMesh 0 comments
- GitHub - horatioh13/Portrait-Outliner: Automatically create line drawings from photographs https://github.com/horatioh13/Portrait-Outliner 0 comments
- GitHub - shyraptor/marketplace-listing-assistant: Streamlines the process of preparing online product listings. Automates background replacement, organizes measurements, generates hashtags, and formats descriptions for improved visibility. https://github.com/shyraptor/marketplace-listing-assistant 0 comments
Linked pages
- GitHub Star History https://star-history.com/#microsoft/playwright&cypress-io/cypress&Date 78 comments
- ONNX Runtime | Home https://www.onnxruntime.ai/ 36 comments
- https://bgremoval.streamlit.app/ 3 comments
- GitHub - xuebinqin/U-2-Net: The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection." https://github.com/NathanUA/U-2-Net 1 comment
- GitHub - facebookresearch/segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. https://github.com/facebookresearch/segment-anything 0 comments
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