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The QIR SDK provides the following AI sample applications.

Detect hands with sample_hand_detection

sample_hand_detection uses the Python-based hand recognition ROS node to detect hand and hand movement.

Estimate image depth values with sample_depth_estimation

Input an RGB image named input_image.jpg or subscribe to the ROS topic /cam0_stream1, then publish per-pixel depth values as the /depth_map ROS topic.

Detect faces with sample_face_detection

The sample_face_detection sample application is a Python-based face detection ROS node that uses Qualcomm Neural Network (QNN) for model inference.

Estimate human poses with sample_hrnet_pose_estimation

The sample_hrnet_pose_estimation sample application provides high-precision human pose estimation capabilities.

Classify images with sample_resnet101

The sample_resnet101 is a Python-based ROS node that performs image classification using QNN-based inference.

Detect objects with sample_object_detection

The sample_object_detection is a Python launch file utilizing QNN for model inference, demonstrating camera data streaming, AI-based inference, and real-time visualization of object detection results.

Segment objects with sample_object_segmentation

The sample_object_segmentation is a Python launch file utilizing QNN for model inference, demonstrating camera data streaming, AI-based inference, and real-time visualization of object segmentation results.