Introduction

This project is positioned as an image processing and deep learning toolkit.

• DocsaidKit Github

Overview

DocsaidKit mainly includes the following components:

• Vision: Features related to computer vision, such as image and video processing.

• Structures: Modules for handling structured data, like BoundingBox and Polygon.

• ONNXEngine: Provides functionality for ONNX inference, supporting models in ONNX format.

• Torch: Related to PyTorch, including neural network architectures, optimizers, etc.

• Utils: For miscellaneous functionalities that don't fit elsewhere.

• Tests: Documentation for testing to verify the functionality of various functions.

Subsequent sections will introduce each feature and module in detail.