Linking pages
- GitHub - stephansturges/WALDO: Whereabouts Ascertainment for Low-lying Detectable Objects. The SOTA in FOSS AI for drones! https://github.com/stephansturges/WALDO 44 comments
- 2022 Top Papers in AI — A Year of Generative Models | Medium https://chuanenlin.medium.com/2022-top-ai-papers-a-year-of-generative-models-a7dcd9109e39 26 comments
- GitHub - pjreddie/darknet: Convolutional Neural Networks https://github.com/pjreddie/darknet 22 comments
- GitHub - shukkkur/VolleyVision: Spatio-Temporal Analysis of Volleyball Data for Complete Tracking https://github.com/shukkkur/VolleyVision 21 comments
- Multi-camera real-time object detection with WebRTC and YOLO https://softwarescalability.com/editorial/real-time-object-detection-with-webrtc-and-yolo 18 comments
- GitHub - Geekgineer/YOLOs-CPP: A high-performance C++ headers for real-time object detection using YOLO models, leveraging ONNX Runtime and OpenCV for seamless integration. Supports multiple YOLO versions (v5, v7, v8, v10, v11) with optimized inference on CPU and GPU. Includes sample code, scripts for image, video, and live camera inference, and tools for quantization. https://github.com/Geekgineer/YOLOs-CPP 14 comments
- GitHub - NirAharon/BoT-SORT: BoT-SORT: Robust Associations Multi-Pedestrian Tracking https://github.com/NirAharon/BoT-SORT 10 comments
- GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 4 comments
- GitHub - roboflow/zero-shot-object-tracking: Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP. https://github.com/roboflow-ai/zero-shot-object-tracking 2 comments
- GitHub - roboflow-ai/notebooks: Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos. https://github.com/roboflow-ai/notebooks 2 comments
- GitHub - instill-ai/vdp: 💧 Visual Data Preparation (VDP) is an open-source tool to seamlessly integrate Vision AI with the modern data stack https://github.com/instill-ai/vdp 1 comment
- GitHub - roboflow/notebooks: Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. https://github.com/roboflow/notebooks 1 comment
- GitHub - WongKinYiu/yolov9: Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information https://github.com/WongKinYiu/yolov9 1 comment
- GitHub - Tencent/ncnn: ncnn is a high-performance neural network inference framework optimized for the mobile platform https://github.com/Tencent/ncnn 0 comments
- GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
- 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
- GitHub - aagustinconti/yolov7_counting: Detect, track and count different classes of objects. https://github.com/aagustinconti/yolov7_counting 0 comments
- GitHub - theos-ai/easy-yolov7: This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI. https://github.com/theos-ai/easy-yolov7 0 comments
- GitHub - mikel-brostrom/Yolov7_StrongSORT_OSNet at 852c9cf5c610a149331ce8e42d47be103cfd03ab https://github.com/mikel-brostrom/Yolov7_StrongSORT_OSNet/tree/852c9cf5c610a149331ce8e42d47be103cfd03ab 0 comments
- GitHub - cyrusbehr/tensorrt-cpp-api: A tutorial project demonstrating how to use the TensorRT C++ API https://github.com/cyrusbehr/tensorrt-cpp-api 0 comments
Linked pages
- [2207.02696] YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://arxiv.org/abs/2207.02696 31 comments
- GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov5 25 comments
- GitHub - Megvii-BaseDetection/YOLOX: YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ https://github.com/Megvii-BaseDetection/YOLOX 6 comments
- GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 4 comments
- GitHub - ultralytics/yolov3: YOLOv3 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov3 4 comments
- GitHub - WongKinYiu/yolor: implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206) https://github.com/WongKinYiu/yolor 3 comments