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CausalCircuit is a dataset designed to guide research into causal representation learning – the problem of identifying the high-level causal variables in an image together with the causal structure between them. The dataset consists of images that show a robotic arm interacting with a system of...
Sample Application for Image Enhancement Introduction Pre-requisites Model Selection, and DLC Conversion Model Overview Steps to convert model to DLC Source Overview Model Initialization Results References...
Sample App for Image Super Resolution Introduction Pre-requisites Model Architecture and Conversion Model Overview Steps to convert model to DLC Source Overview Model Initialization Results References Introduction...
Object Detection with MobilenetSSD Introduction Pre-requisites Model Architecture and Conversion How to get the Model? How to change the Model? Source Overview Code Implementation Installing the Demo References...
On Device Sentiment-Analysis with Transformers Introduction Prerequisites Model Preparation and Validation Model Preparation Model and DLC Validation On Device Profiling Build and Run with Android Studio Qualcomm Neural Processing SDK C++ APIs...
On Device Question-Answering with Transformers Introduction Prerequisites Model Preparation and Validation Model Preparation Model and DLC Validation On Device Profiling Build and Run with Android Studio Qualcomm®...
The following solutions were designed to demonstrate the capability of the development kit. Solutions are hosted on GitHub repository here. This repository contains sample android applications, which are designed to use components from the following products Qualcomm Neural Processing SDK...
1.1 TensorFlow Installation: pip install tensorflow==2.3.0 1.2 TF-Lite Installation: pip install tflite==2.3.0 1.3 ONNX Installation: pip install onnx==1.6.0 Along with ONNX, install the Onnxsim and Onnxruntime packages with commands mentioned below pip install onnxsim pip install...
The following steps will walk you through the installation of Qualcomm® Neural Processing SDK. These steps have been tested on Version 2.5.x. SDK is supported only on Ubuntu 18.0.4. Configure nameserver echo "nameserver 8.8.8.8" | sudo tee /etc/resolv....
Introduction Setting up the development kit Build demos from source Pre-requisites Compile and Run demo from source code Re-build sample application with newer version of Qualcomm Neural Processing SDK HDMI display output and Emergency build loading...
Introduction AI Hardware Cores/Accelerator Overview AI Software Accelerator Framework Qualcomm® Neural Processing SDK AIMET - AI Model Efficiency Toolkit Introduction Below are a few terms and concepts that you may come across while using Artificial...
What do on-demand language translation, self-driving cars, and video calls have in common? They’re all examples of today’s ubiquitous technology that was once the figment of science fiction (sci-fi).
You like running your machine learning (ML) workloads with the Qualcomm Adreno OpenCL ML SDK on Adreno GPUs.
The international embedded computing community marked its 20th anniversary with this year’s Embedded World conference in Nuremberg.
When you look at your robotics application, do you think of it as an “intelligent-edge use case?” Probably not, but that’s where it plays.
In many industrial settings, determining the current health of assets still involves a technician putting their ear to a machine to detect any ominous sound deviations.
Today at Microsoft Build 2022, Qualcomm Technologies is announcing that we are opening up our industry-leading Qualcomm AI Engine for Windows developers with the Qualcomm Neural Processing SDK for Windows.
Hands up if you were on a video call this week? And keep your hands up if you got distracted by someone on the call typing, their dog barking, their kids playing, or other background noise. You were not alone.

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