QCIF-SustainableFutures/computer-vision-training-the-gambia

# Computer Vision Training for The Gambia This repository contains the code and resources for the Computer Vision Training for The Gambia. ## Install the required packages To install the required packages using the requirements.txt, run the following pip command in your terminal ```bash cd path/to/this/repo/utilities pip install -r requirements.txt ``` ### If the pip command does not work In this training we are using the following packages 1. pandas ```bash pip install pandas ``` 2. roboflow ```bash pip install roboflow ``` 3. supervision ```bash pip install supervision ``` 4. ultralytics ```bash pip install ultralytics ``` ## Breakdown of modules **Module 1**: Introduction to Computer Vision - Mostly theory and introduction to computer vision, the different tasks and a brief oververview of a project lifecycle **Module 2**: Pre-processing - File renaming using a csv map **Module 3**: Model Training, Evaluation and Prediction - Download open-source datasets (Roboflow Universe as a case study) - Training a model using YoloV8 (local machine) - Training a model using YoloV8 (Kaggle) - Predicting using a pre-trained model with ultralytics and supervision utilities **Module 4**: Platforms for computer vision development - Introduction to Roboflow - Other useful platforms (Viame and Wildlife Insights)