.. # SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. .. _getting_started: Getting Started =============== This section guides you step-by-step towards building different types of Computer Vision and Deep Learning pipelines accelerated on the GPU using the CV-CUDA APIs. Before getting started, please review the :ref:`prerequisites` and :ref:`bestpractices`. .. toctree:: :maxdepth: 1 prerequisites bestpractices Quick Start ----------- If you're new to CV-CUDA, we recommend starting here. This simple :ref:`hello_world` will help you understand the basic concepts and workflow of CV-CUDA. .. toctree:: :maxdepth: 1 CV-CUDA Hello World Advanced Topics -------------- Once you're comfortable with the basics, you can explore more advanced topics in :ref:`samples` for a full machine learning application. .. toctree:: :maxdepth: 1 samples