darknet_ros
YOLO ROS: Real-Time Object Detection for ROS (by leggedrobotics)
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). (by vacancy)
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| darknet_ros | PreciseRoIPooling | |
|---|---|---|
| 4 | 1 | |
| 2,066 | 764 | |
| 2.3% | - | |
| 0.0 | 0.0 | |
| 7 months ago | over 1 year ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of darknet_ros.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-25.
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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
PreciseRoIPooling
Posts with mentions or reviews of PreciseRoIPooling.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-09.
-
Implement IoUNet based on MMDetection
IoU or localization prediction has been an active topic in Object Detection and IoUNet is one of the early models that does that. However the authors only released code for the RoIPrecisePooling(https://github.com/vacancy/PreciseRoIPooling), which is a special RoI pooling method proposed in the paper, to my best knowledge.
What are some alternatives?
When comparing darknet_ros and PreciseRoIPooling you can also consider the following projects:
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
OpenMMLab-IoUNet
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
carla - Open-source simulator for autonomous driving research.
DarkHelp - C++ wrapper library for Darknet
DarkPlate - License plate parsing using Darknet and YOLO
fmo-cpp-demo - Fast Moving Objects Detection (demo version)
DarkMark - Marking up images for use with Darknet.
realsense-ros - Intel(R) RealSense(TM) ROS Wrapper for Depth Camera
darknet_ros vs darknet
PreciseRoIPooling vs OpenMMLab-IoUNet
darknet_ros vs jetson-inference
darknet_ros vs yolo-tf2
darknet_ros vs carla
darknet_ros vs DarkHelp
darknet_ros vs DarkPlate
PreciseRoIPooling vs fmo-cpp-demo
darknet_ros vs DarkMark
darknet_ros vs realsense-ros
PreciseRoIPooling vs jetson-inference