This repository contains an Jupyter Notebook (MMDetection_FasterRCNN.ipynb) for training a Faster R-CNN model on a KITTI tiny dataset using MMDetection.
This Jupyter Notebook provides a step-by-step guide to training a Faster R-CNN object detection model on the KITTI tiny dataset. The model is implemented using MMDetection, a state-of-the-art open-source object detection toolbox based on PyTorch.
MMDetection_FasterRCNN.ipynb: This Jupyter Notebook contains the code for setting up the training pipeline, configuring the Faster R-CNN model, loading and preprocessing the dataset, training the model, and evaluating its performance.
- Python 3.x
- Jupyter Notebook or JupyterLab (from Anaconda)
Make sure to install all the necessary dependencies before running the notebook.
The KITTI tiny dataset used in this notebook can be obtained from OpenMMLab: KITTI Dataset