This repository contains the files related to the LearnOpenCV blog post: YOLOR – Paper Explanation & Inference – An In-Depth Analysis
Folder and file details:
├───assests
├───Local_Setup_and_Run_Instructions.ipynb
├───YoloR_Inference_Colab.ipynb
└───updated_yolor_repo_files- assests - Folder which contains single image and video for inference testing
- updated_yolor_repo_files - This folder contains files to be used during code setup of YoloR.
- Local_Setup_and_Run_Instructions.ipynb - This is the jupyter notebook that contains instructions on how to download and setup YoloR repository for performing inference on images and videos as shown in the blog post.
- YoloR_Inference_Colab.ipynb - A ready to use inference notebook that you can run on Google colab without the hassle of local installation.
You can run it on your local system or on Colab.
- On Google Colab, all the requirements will be installed automatically. Open Notebook on Google Colab
- To run on local machine I would recommend you to consider this folder as the top-level directory and perform all operations as mentioned in the notebook (Local_Setup_and_Run_Instructions.ipynb) using this directory as the starting point.
Want to become an expert in AI? AI Courses by OpenCV is a great place to start.
