Qualcomm® Intelligent Robotics Product (QIRP) SDK

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Qualcomm® Intelligent Robotics Product SDK (QIRP SDK) 2.0 is a collection of components that enable a developer to realize robotics features on Qualcomm Platforms.

The Qualcomm^® Intelligent Robotics Product Software Development Kit (QIRP SDK) is a developer-focused solution that integrates various functional SDKs to simplify and enhance the development of robotics applications. With its comprehensive tools and resources, developers can leverage Qualcomm^® technologies to create advanced and intelligent robotic systems.

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Diverse Libraries

Take advantage of a wide range of libraries tailored for AI, multimedia, and robotics applications, enhancing the functionality and capabilities of your projects.

Versatile Modules

Save time and effort by utilizing versatile modules that not only verify SDK functions but also serve as a reference or code base, enabling rapid development of your own applications.

Cross-Compile Toolchain

Streamline your development process with a cross-compile toolchain that is designed to provide common build tools like aarch64-oe-linux-gcc, make, cmake, and pkg-config, ensuring familiarity and efficiency.

Accelerated Development

Maximize your productivity with a suite of tools and scripts designed to expedite the development process, allowing you to focus on creating innovative applications.

Comprehensive Documentation

Get up and running swiftly with comprehensive documentation that provides step-by-step instructions for setting up the QIRP SDK and offers tutorials to kickstart the development of your own applications.

Robotics Algorithms and Hardware Accelerated ROS Nodes

The SDK enables efficient sensor integration with hardware accelerated ROS packages for VSLAM (Visual Simultaneous Localization and Mapping), IMU (Inertial Measurement Unit), and 2D lidar for seamless integration of these sensors into the robotics application. This integration enhances perception capabilities, enabling accurate mapping, localization, and obstacle detection.

Qualcomm® Neural Processing SDK

The Qualcomm Neural Processing SDK provides tools for model conversion, execution, supports convolutional neural networks, custom layers and more. The SDK is designed to help developers run one or more neural network models trained in TensorFlow, PyTorch, Keras and ONNX on Qualcomm® platforms, whether that is the CPU, GPU or Qualcomm® Hexagon™ NPU.

Qualcomm AI Engine Direct

The Qualcomm® AI Engine Direct SDK provides lower-level, unified APIs for AI development. Developers can get one step closer to the silicon and improve the performance of their AI models on Qualcomm® AI accelerators: Qualcomm® Kryo™ CPU, Qualcomm® Adreno™ GPU and Qualcomm® Hexagon™ NPU. They can use the SDK to target a specific accelerator, or they can delegate workloads from TensorFlow Lite or the ONNX runtime to directly access our Hexagon processor.

Qualcomm Intelligent Multimedia (QIM) SDK

With its utilization of GStreamer, an open-source multimedia framework, the QIM SDK provides developers with intuitive APIs and a wide range of plugins in both the multimedia and machine learning domains. The QIM SDK’s comprehensive suite of plugins includes video encode/decode, Camera ISP, GPU, display, audio DSP (aDSP), compute DSP (cDSP), and AI/ML accelerators. These plugins are meticulously optimized to deliver exceptional performance on Qualcomm hardware, ensuring that the end applications run seamlessly and efficiently.

TensorFlow Lite Delegator SDK

The Qualcomm TensorFlow Lite software development kit (Qualcomm TFLite SDK) tools provide the TensorFlow Lite framework for on-device artificial intelligence (AI) inferencing, which facilitates application developers to develop or run suitable AI applications.