2 个仓库
Awesome GitHub RepositoriesInstance Segmentation Tracking
Tracking that combines object localization with pixel-level mask generation to isolate target shapes.
Distinct from Object Tracking Frameworks: Focuses on pixel-level masking (segmentation) during tracking, whereas Object Tracking Frameworks generally focus on bounding boxes.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Instance Segmentation Tracking. Refine with filters or upvote what's useful.
Awesome Instance Segmentation Tracking GitHub Repositories
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- stvir/pysot
STVIR/pysot
4,600在 GitHub 上查看pysot 是一个专为单目标跟踪设计的计算机视觉框架。它提供了一个平台，用于实现和评估在视频帧序列中定位和跟随特定目标对象的算法。 该项目包括基于区域建议网络（RPN）的 SiamRPN 定位架构实现，以及结合了跟踪与二进制掩码生成的 SiamMask 模型，以提供对象的像素级分割。 该框架还包含一个视觉跟踪评估工具包，用于根据行业标准数据集衡量跟踪算法的准确性和可靠性。
Combines object tracking with binary masking to isolate and follow the exact shape of target objects.
Python - open-mmlab/mmtracking
open-mmlab/mmtracking
3,881在 GitHub 上查看mmtracking is a PyTorch video perception framework designed for training and deploying computer vision models that analyze sequential image data. It provides specialized tools for multi-object tracking, video instance segmentation, and a configuration-driven system for managing deep learning models. The project utilizes a deep learning model registry and a configuration-driven pipeline to swap model backbones and detectors without modifying the core codebase. This modular approach allows for the development of custom perception architectures by combining various components and configurations.
Provides a framework for tracking objects using pixel-level masks to isolate exact shapes across video sequences.
Pythonmulti-object-trackingsingle-object-trackingtracking
