Welcome to Python Object Detection Insights
A library for exploring your object detection dataset. The goal of this library is to provide simple and intuitive visualizations from your dataset and automatically find the best parameters for generating a specific grid of anchors that can fit you data characteristics
pyodi paint-annotations- Paint COCO format annotations and predictions
pyodi ground-truth- Explore your dataset ground truth characteristics.
pyodi evaluation- Evaluate the predictions of your model against your ground truth.
pyodi train-config generation- Automatically generate a
pyodi train-config evaluation- Evaluate the fitness between
pyodi coco merge- Automatically merge COCO annotation files.
pyodi coco split- Creates a new dataset by splitting images into crops and adapting the annotations file
pyodi crops split- Creates a new dataset by splitting images into crops and adapting the annotations file
pyodi crops merge- Translate COCO ground truth or COCO predictions crops split into original image coordinates