Giskard Vision is a comprehensive Python package designed to simplify and streamline a variety of computer vision tasks. Whether you're working on facial landmark detection, image classification, or object detection, Giskard Vision provides the tools you need to evaluate your models with ease.

• Facial Landmark Detection (Readme)
• Image Classification (Readme)
• Object Detection (Readme)

To install Giskard Vision, simply use pip:

pip install giskard-vision

If you want to contribute to the development or explore the latest features, you can install the repository in development mode:

git clone https://github.com/Giskard-AI/giskard-vision.git
cd giskard-vision
pdm install -G :all
source .venv/bin/activate

Giskard Vision includes powerful scanning capabilities to evaluate your models. To run a scan, first ensure that you have the giskard library installed:

pip install giskard

Then, you can perform a scan using the following code:

from giskard_vision import scan

dataloader = ...
model = ...

results = scan(model, dataloader)

Explore the examples provided to see how to implement scans in different contexts:

• Facial Landmark Detection Notebook
• Image Classification Notebook
• Object Detection Notebook

The examples directory contains Jupyter notebook tutorials that demonstrate how to use Giskard Vision for various tasks. To explore these tutorials:

1. Install the repository in development mode.
2. Navigate to the examples directory and open the notebook of interest.

This issue usually occurs due to the installation order of the opencv-contrib-python module. To resolve it, follow these steps:

pip uninstall opencv-contrib-python
pip install opencv-contrib-python