Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
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Updated
Jun 7, 2024 - Python
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
PyTorch-based toolkit for landmark detection
Fish-Phenotype-Detect
Predictions of the four corners of documents.
computer vision and sports
Vision-based GNSS-Free Localization for UAVs in the Wild
SoccerNet@CVPR | 1st place solution for Camera Calibration Challenge 2023
2D keypoint detection with Pytorch Lightning and wandb
Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)
ml experiments
Unofficial simplified implementation of Painter (2023 CVPR)
Microsoft COCO: Common Objects in Context for huggingface datasets
一份关于yolov8的入门级(训练+预测)的代码demo(目标检测/实例分割/关键点检测........); A code demo about yolov8's entry-level (training + prediction) (object detection/instance segmentation/key point detection...)
Perform vision based target tracking, 6DOF pose estimation, using single 2d camera. Created augmented reality visualization of visual target.
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
Trained YOLOv8 model on Pose estimation with sperm cells.
simple human pose estimation, keypoints detection. Support MPII and COCO format dataset. (annotation converter for MPII .mat included)
Deep neural network for detecting objects with an arbitrary number of keypoints (BMVC 2021).
Realtime mutliperson pose estimation based on LitePose
[NeurIPS 2022] AutoLink, a simple and novel unsupervised approach to detect keypoints from single static images
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