This repository contains comprehensive notes and video lectures on OpenCV, targeting individuals learning computer vision and image processing. It aims to provide a structured and detailed learning resource, supplementing official documentation with practical examples and explanations.

How It Works

The project is a collection of detailed notes, likely in a notebook format, covering various aspects of OpenCV. It leverages Bilibili for video explanations and Baidu Pan for dataset downloads, offering a multimedia approach to learning. The notes are designed to be viewed locally for optimal rendering of images and formulas, with specific instructions provided for using Jupyter Notebook within Anaconda.

Quick Start & Requirements

• Installation: No direct installation command is provided as this is a collection of notes. Users will need to install Jupyter Notebook and potentially Anaconda.
• Prerequisites: Python, Jupyter Notebook, Anaconda.
• Resources: Access to Bilibili for videos and Baidu Pan for datasets.
• Links:
  • Video Lectures: https://www.bilibili.com/video/BV1PV411774y
  • Datasets: https://pan.baidu.com/s/1PiIaO7jldLC-O5RQzKvGJA (Extraction code: vt2m)
  • Author's GitHub: https://github.com/AccumulateMore

Highlighted Details

• Comprehensive notes with video explanations.
• Guidance on setting up and using Jupyter Notebook for viewing.
• Links to additional resources and related projects by the author.
• Includes career advice and job opportunities in AI/Computer Vision.

Maintenance & Community

The project appears to be a personal educational resource. The author actively shares links to their Bilibili channel for ongoing updates and encourages community interaction through WeChat and QQ groups for deep learning study.

Licensing & Compatibility

The repository's licensing is not explicitly stated in the README. Given its nature as educational notes, it's likely intended for personal learning. Commercial use or redistribution would require clarification from the author.

Limitations & Caveats

The notes are presented as "completed" (已完结), but the author's Bilibili channel is marked as "updating" for large model and multimodal notes, suggesting potential for ongoing related content. Image rendering issues may occur on the GitHub website, necessitating local viewing.