Courseware index for OpenMMLab's computer-vision empire
A curated syllabus that maps lectures, Jupyter notebooks, and articles across OpenMMLab's entire computer-vision toolbox family.

What it does This repository is essentially a course catalog and index for the OpenMMLab ecosystem. It gathers Bilibili lecture videos, Jupyter notebook walkthroughs, and topical articles into a single curriculum covering algorithms and toolbox usage across tasks like detection, segmentation, pose estimation, and deployment. Think of it as the registrar’s office for a sprawling open-source computer-vision department.
The interesting bit The maintainers treat curriculum curation as infrastructure, linking each lecture to companion code and sometimes roping in professors from Shanghai Jiao Tong and Tsinghua to teach sessions. Several slots are still marked “In coming,” which makes the repo feel more like a living semester schedule than a static archive.
Key highlights
- Seventeen lecture topics spanning MMClassification, MMDetection, MMSegmentation, MMAction2, MMPose, MMDeploy, and others
- Companion Jupyter notebooks (
lec2.ipynbthroughlec8.ipynb) and links to external tutorial repositories - Curated technical articles organized by toolbox, from MMCV basics to MMRotate and MMDetection3D
- Dedicated video series for MMYOLO and MMEval, a cross-framework evaluation library
- Materials drawn from actual university electives, including a joint SJTU–SenseTime course
Caveats
- Primary language is Chinese, with Bilibili hosting the lecture videos
- Several modules (MMGeneration, MMTracking, MMFlow, MMRazor) lack lecture videos or in-repo code
- Some tutorial code is maintained in external contributor repositories rather than here
Verdict Useful if you are studying or teaching OpenMMLab’s toolboxes and need a structured path through the documentation. Not what you want if you need a standalone, English-first tutorial or a runnable software package.
Frequently asked
- What is open-mmlab/OpenMMLabCourse?
- A curated syllabus that maps lectures, Jupyter notebooks, and articles across OpenMMLab's entire computer-vision toolbox family.
- Is OpenMMLabCourse open source?
- Yes — open-mmlab/OpenMMLabCourse is an open-source project tracked on heatdrop.
- What language is OpenMMLabCourse written in?
- open-mmlab/OpenMMLabCourse is primarily written in Jupyter Notebook.
- How popular is OpenMMLabCourse?
- open-mmlab/OpenMMLabCourse has 1.3k stars on GitHub.
- Where can I find OpenMMLabCourse?
- open-mmlab/OpenMMLabCourse is on GitHub at https://github.com/open-mmlab/OpenMMLabCourse.