Configure an mlmodel detector or classifier
Configure the mlmodel vision service to turn a deployed ML model into a detector, classifier, or 3D segmenter.
Configure the mlmodel vision service to turn a deployed ML model into a detector, classifier, or 3D segmenter.
Give commands to get a list of inputs from the controller that are being monitored for that control mode.
Configure a fake generic service using the generic service API.
Configure the color_detector vision service to find regions of a specific hue in camera images. No ML model required.
Project 2D detections into 3D point cloud segments using a depth camera’s intrinsic parameters.
Reveal which resources are available to configure on a machine based on the hardware that is physically present.
Update or delete your existing modules, or change their privacy settings.
Use the motion service to move a robot arm and gripper.
Give commands to your generic components for running model-specific commands using DoCommand.
Create your own modules for use with an Espressif ESP32 microcontroller.
Use constraints and transforms with the motion service.
Give commands to define waypoints and move your machine along those waypoints while avoiding obstacles.
Give commands to get detections, classifications, or point cloud objects, depending on the ML model the vision service is using.
Retrieve a list of world objects.
Create an alarm system that can detect people and recognize faces, allowing it to intelligently trigger alarms.
Use the filter modular component to photograph your pet in their collar.
Build a line-following robot that relies on a webcam and color detection.
Instructions for detecting and following a colored object with a rover, like a SCUTTLE robot.