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University of Sydney
- Sydney, Australia
- https://scholar.google.com.au/citations?user=hhsPIgUAAAAJ&hl=en
Stars
Simple console app that implements ONNX Runtime and ResNet in C++
An easy to use PyTorch to TensorRT converter
TensortRT installation and Conversion from PyTorch Models
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
A collection of some awesome public Anchor-Free object detection series projects.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
High quality, fast, modular reference implementation of SSD in PyTorch
This repository provides a PyTorch implementation of RT-DeTR, a state-of-the-art Realtime Detection Transformer for object detection tasks.
Training DETR (Detection Transformer) on custom object detection datasets.
Vision Transformers for image classification, image segmentation, and object detection.
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
This is an ongoing project of designing a custom object detector from scratch. You can also use the pytorch-lightning training pipeline to train your own model.
Schedule-Free Optimization in PyTorch
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
an edge-real-time anchor-free object detector with decent performance
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
OpenMMLab's next-generation platform for general 3D object detection.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A faster pytorch implementation of faster r-cnn
ADO Pipeline for training and deploying to NVIDIA Jetson device with ONNX Runtime
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/