This folder contains example scripts that can be used for integrating with our platform tools, or for general CV application purposes.
To run jupyter notebooks, simply clone this repository and open the notebooks in your local environment. They can be run on Google Colab as well.
For other Python scripts, please refer to the README.md file in each folder for more information on the prerequisites and usage.
- Action Recognition, for recognizing actions in videos.
- Active Learning, for performing active learning on your dataset.
- Data Preprocessing, for preprocessing your data.
- Data Postprocessing, for postprocessing your data.
- Explainable AI, for generating explanations for your model predictions using heatmaps.
- Generative AI, for generating synthetic images for training.
- Industry Use Cases, for examples on industry-specific use cases.
- Inference Dashboard, for easy visualizations of inference results.
- Learning, for one-shot and few-shot learning.
- SAHI, for small object detection using sliding windows.
- Tracking, for single and multi-object tracking in videos.
- Training, for training open-source models on your custom data.
- Visualization, for interactive and handy visualizations of your data.