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Top 7 Python video-instance-segmentation Projects
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mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
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GLEE
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale (by FoundationVision)
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VNext
Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
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UniTrack
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset). (by Zhongdao)
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Insta-DM
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
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I suggest to try the top down approach with the https://openmmlab.com/ open source package. The openmmlab provides multiple algorithms, datasets and pretrained models for various computer vision tasks. Start with mmpose video demo that integrates detection and pose estimation. You can add later tracking with https://github.com/open-mmlab/mmtracking to track the poses in time.
Part of this process can be a remastering step also for old videos. Masking backgrounds across frames and performing super-resolution with all known references and scaling details for characters using fine-tuned models for each actor. We have a lot new SAM tools to assist with this process. It probably won't be magically done for a while, but a few people could remaster a show rather than a large team.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python video-instance-segmentation related posts
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Tracking sets of Keypoints by Person
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Current State Of The Art In Instance Segmentation?
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[R]VNext: Next-generation Video instance recognition framework(ECCV 2022 Oral * 2)
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[P]We have supported Quasi-Dense Similarity Learning for Multiple Object Tracking.
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[p]We have supported Quasi-Dense Similarity Learning for Multiple Object Tracking
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MMTracking have supported Quasi-Dense Similarity Learning for Multiple Object Tracking.
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MMTracking Supports Quasi-Dense Similarity Learning for Multiple Object Tracking
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Index
What are some of the best open-source video-instance-segmentation projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | mmtracking | 3,382 |
| 2 | UNINEXT | 1,443 |
| 3 | sam-pt | 905 |
| 4 | GLEE | 897 |
| 5 | VNext | 592 |
| 6 | UniTrack | 335 |
| 7 | Insta-DM | 221 |
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