SEP788/789

Group 8 - Object Detection for Self-Driving Vehicles in Adverse Weather Conditions

Quick Start Examples

A colab example Quick Start Example is prepared to implement the whole project. Just download and run it in the colab, it will clone the whole repository. An pre-run example is shown in it.

Architecture of Repository

1. Main code folder contains all code, train and detect

All train and val results will be stored in runs folder when running

SEP788-789/main_code/runs

2. Datasets folder contains train, validation and test data.

3. Samples folder contains all pre-run both train and validation results, which are used for metrics comparision

4. Video contains videos for test and a video detection sample. All video detection results will be stored in runs folder.

Sample reuslts

All the sample detected images are stored in detect

Hyperparameters Tuned

Hyperparameters tune results evaluate hyperparameters tune results.