Counting of wheat spikes and spikelets based on deep learning and computer vision

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

A collection of resources and papers on Diffusion Models

The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for defect detection

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

USB: Universal-Scale Object Detection Benchmark (BMVC 2022)

decentralising the Ai Industry, just some language model api's...

Reversible Swin Transformer

Train Faster R-CNN on custom dataset (including training plots)

This repo maintains a lists of repositories for each ROS distribution

Notes on Stable Diffusion, similar to an Awesome Stable Diffusion Kind of Thing

This is a repository about PCB defect detection.

OpenMMLab Computer Vision Foundation

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

A Zero-shot Detection based on Faster R-CNN, implemented by mmdetection

HybridNets: End-to-End Perception Network

Segmentation models with pretrained backbones. PyTorch.

[CVPR2023] This is an official mmdet implementation of paper "DETRs with Hybrid Matching".

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.