darknet_ros
realsense-ros
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darknet_ros | realsense-ros | |
---|---|---|
4 | 15 | |
2,079 | 2,354 | |
2.9% | 2.9% | |
0.0 | 9.2 | |
8 months ago | 7 days ago | |
C++ | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
darknet_ros
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Resources for obstacle avoidance
Sorry got swamped with exams, here is the darknet-ros repo: https://github.com/leggedrobotics/darknet_ros
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Yolo in ROS
You are using „darknet_ros“ package. That information probably belongs in the post. I do not have experience with that package. You should look into your logfile and try debug why it is shutting down. If you have further problems with the package. You should try to open a issue on GitHub. https://github.com/leggedrobotics/darknet_ros
Look at Issue here
- How can I Integrate YOLO algorithm in ROS for Lane and Vehicle Detection ?
realsense-ros
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QoS Intra Process Communication Issue
Hi everyone, I am working on developing intra process communication using the realsense camera D435i and trying to run this launch file - https://github.com/IntelRealSense/rea... but I am getting this error in the command prompt -
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Resources for obstacle avoidance
Also I'm guessing you are already using it, but heres the ros repos for realsense cams just in case: https://github.com/IntelRealSense/realsense-ros
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InterlRealsense IMU for better odometry
Hi guys, i'm building a robot to play around with SLAM and navigation. Currently i'm getting the odometry from the motor's enconder, i'm thinking of adding IMU data to improve the odometry precision over time. I have a Realsense d435i laying around, so i'm planing to use it has an IMU instead of buying a separate module. Is it enough to just run the rs_camera.launch with gyro and accel enabled to improve the odometry and localization?
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LXD for runing different ROS2 versions
In my use case I am running ROS2 Humble in my LXD-host machine (Ubuntu 22.04). I want to run ROS2 Foxy (needs Ubuntu 20.04) in a LXD container in order to use realsense-ros package.
- Intel d435 depth camera giving distorted depth values. How do I fix this? I tried dynamic caliberator, updating fw, on-chip calibration, focal length calibration, nothing helps
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Making sense of 16-bit jpeg compressed data from Intel RealSense D435i camera
Does this then mean that the data from this topic is useless since the raw data was compressed with the wrong compression format or is there some other way to make sense of the data? Relevant issue in the realsense-ros github: https://github.com/IntelRealSense/realsense-ros/issues/2361
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RADU: Realsense D435 Installation Troubles with ROS2'
The official realsense-ros documentation explains how to install the librealsense SDK and the ros2-realsense ROS2 package by using prebuild packages.
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Robotic Projects: Reasons for Switching from ROS2 to ROS1
Fourth, checking hardware support for ROS2 shows that fewer options are available and the other robot enthusiasts have problems to get ROS2 running. I had the very same experience when trying to get the Intel Real SenseD435 work with ROS2. Although I used the latest firmware, compiled the librealsense from scratch, compiled the ros-realsense package, it did just not work and even a thread on the very responsive and helpful community issue board did not find an answer. When I switched to ROS1, the same sensor just works without any problems.
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ROS with Raspberry Pi: Investigating the Core Issue of Slow Streaming Performance
On the mobile robot, I also use the Realsense SDK and the Realsense ROS packages - in different version, because they have difference performance. Details will be explained in the next sections.
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Odometry is changing at a faster rate with intelrealsense d435 while using orb_slam2_ros
Try the rtabmap launch file supplied in the IntelRealSense git at https://github.com/IntelRealSense/realsense-ros and see if the result is what you're after. I've had better luck using that package with my Realsense D435i camera than orbslam2.
What are some alternatives?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
librealsense - Intel® RealSense™ SDK
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
rmw_fastrtps - Implementation of the ROS Middleware (rmw) Interface using eProsima's Fast RTPS.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
orb_slam_2_ros - A ROS implementation of ORB_SLAM2
carla - Open-source simulator for autonomous driving research.
DarkHelp - C++ wrapper library for Darknet
DarkPlate - License plate parsing using Darknet and YOLO
PreciseRoIPooling - Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
DarkMark - Marking up images for use with Darknet.