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Name: Lars Lorentz Ludvigsen
Type: User
Location: Bavaria, Germany
Name: Lars Lorentz Ludvigsen
Type: User
Location: Bavaria, Germany
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
The DeepRacer Camera ROS package creates the camera_node that is responsible for reading the raw data from the one/two cameras connected to the USB slots at the front of the AWS DeepRacer device and publishing them as CameraMsg.
The DeepRacer I2C ROS package creates the battery_node that is responsible for providing the vehicle battery level information.
The DeepRacer Inference ROS package creates the inference_node that is responsible for running the inference on the machine learning model that is selected using the Intel OpenVino Inference Engine APIs.
The DeepRacer Interfaces ROS package is a foundational package that creates the custom service and message types that are used in the core AWS DeepRacer application.
The DeepRacer Model Optimizer ROS package creates the model_optimizer_node that is responsible for running the Intel OpenVino Model Optimizer script on the DeepRacer reinforcement learning models to obtain the optimized artifacts.
The DeepRacer Navigation ROS package creates the deepracer_navigation_node that is responsible for collecting the RL model inference results and mapping it to the servo message based on the action space for the particular model selected.
The DeepRacer Sensor Fusion ROS package creates the sensor_fusion_node that is responsible for collecting the messages from all the sensors (Camera+LiDAR) and publish the combined sensor message.
The DeepRacer Servo ROS package creates the servo_node that is responsible to map the input servo throttle and steering angle messages to raw PWM values to move the car.
The DeepRacer Systems ROS package creates the software_update_node, model_loader_node, otg_control_node, network_monitor_node which are responsible for managing system level functionalities required in the DeepRacer application.
WIP lib to communicate with the BMI160 accel/gyro sensor with the raspberry pi i2c in python
A utility repository linking together the different DeepRacer components for development / build purposes.
ROS2 Workspace for DeepRacer Development
Private fork of DeepRacer-for-Cloud; master has been moved upstream.
A port of the DeepRacer software stack for the Raspberry Pi 4.
Visualizations for AWS DeepRacer videos
Using Arduino to create the display part of a pseudo Flight Control Unit for Microsoft Flight Simulator 2020.
The AWS DeepRacer Event Manager (DREM) is used to run and manage all aspects of in-person events for AWS DeepRacer, an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.
An image processing pipeline for ROS.
The DeepRacer IMU ROS package provides data from the built-in Inertial Measurement Unit.
The DeepRacer In-Car Video ROS package provides an annotated video stream from inside the car.
Package is used to monitor a specific DeepRacer ROS topic and to write to a bag for later investigation.
This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.
This support code is used for making the TensorFlow framework run on Amazon SageMaker.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.