- Precision and Recall of a neural network are calculated on which split of dataset https://github.com/Megvii-BaseDetection/YOLOX 6 comments deeplearning
Linking pages
- GitHub - NirAharon/BoT-SORT: BoT-SORT: Robust Associations Multi-Pedestrian Tracking https://github.com/NirAharon/BoT-SORT 10 comments
- GitHub - BingfengYan/CO-MOT: CO-MOT: Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking https://github.com/BingfengYan/CO-MOT 3 comments
- GitHub - dog-qiuqiu/FastestDet: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler https://github.com/dog-qiuqiu/FastestDet 2 comments
- GitHub - ifzhang/ByteTrack: [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box https://github.com/ifzhang/ByteTrack 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 - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- 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 - adalkiran/distributed-inference: A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams. https://github.com/adalkiran/distributed-inference 0 comments
- GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://github.com/WongKinYiu/yolov7 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 - CVHub520/X-AnyLabeling: Effortless data labeling with AI support from Segment Anything and other awesome models. https://github.com/CVHub520/X-AnyLabeling 0 comments
- GitHub - GirinChutia/Object-Detection-Inference-Interface: Object Detection Inference Interface (ODII) : A common interface for object detection model inference https://github.com/GirinChutia/Object-Detection-Inference-Interface 0 comments