[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
$ npx skills add noahcao/OC_SORTAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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Multi-object trackers in Python
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
$ npx skills add noahcao/OC_SORTAn open source library and framework for deep learning on satellite and aerial imagery.
$ npx skills add azavea/raster-visionHigh-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
$ npx skills add GeekAlexis/FastMOT[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
$ npx skills add fundamentalvision/BEVFormer[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
$ npx skills add foolwood/SiamMaskAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
$ npx skills add richzhang/colorization:earth_americas: Simple and ready-to-use tutorials for TensorFlow
$ npx skills add astorfi/TensorFlow-World[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
$ npx skills add IDEA-Research/DINOA repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
$ npx skills add PINTO0309/PINTO_model_zooDeep learning software for colorizing black and white images with a few clicks.
$ npx skills add junyanz/interactive-deep-colorizationTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeo:zap: 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
$ npx skills add dog-qiuqiu/FastestDetDeep Learning toolkit for Computer Vision.
$ npx skills add tryolabs/luminothScenic: A Jax Library for Computer Vision Research and Beyond
$ npx skills add google-research/scenicA python library for self-supervised learning on images.
$ npx skills add lightly-ai/lightlyA modular high-level library to train embodied AI agents across a variety of tasks and environments.
$ npx skills add facebookresearch/habitat-labHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Multi Object Tracker if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.