MarcoForte
Follow
Stars
Framework based on a vector dabase to store, manage and curate large image datasets
A Rust-based data loader which can be used from Python. Processing data per sample at GB/s speeds, covering various use cases eventually.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
Lite Inference Toolkit (LIT) for PyTorch
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
The official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
The summary of code and paper for salient object detection with deep learning.
Evaluate the quality of foreground estimation methods
A simple tool for cleaning image datasets at a glance.
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
Interactive Object Segmentation with Inside-Outside Guidance
Pixel-level image processing apps
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Python module for computing the weighted distance transform of an image
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement