Linking pages
- 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 - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 2 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 - stephansturges/WALDO: Whereabouts Ascertainment for Low-lying Detectable Objects. Now accepting SAFEs at 35M$ cap (that's a joke OK? ;-)). https://github.com/stephansturges/WALDO 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
- GitHub - TalkUHulk/ai.deploy.box: A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM https://github.com/TalkUHulk/ai.deploy.box 0 comments
- GitHub - lightly-ai/labelformat: A tool for converting computer vision label formats. https://github.com/lightly-ai/labelformat 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 - 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
- GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 2 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 0 comments