darknet_ros
DarkPlate
Our great sponsors
| darknet_ros | DarkPlate | |
|---|---|---|
| 4 | 6 | |
| 2,076 | 53 | |
| 2.8% | - | |
| 0.0 | 0.0 | |
| 8 months ago | about 1 year ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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
-
Resources for obstacle avoidance
Sorry got swamped with exams, here is the darknet-ros repo: https://github.com/leggedrobotics/darknet_ros
-
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 ?
DarkPlate
-
Need Help to Design an OCR for number plate test extraction
Take a look at DarkPlate, which can process either videos or static images: https://github.com/stephanecharette/DarkPlate
-
Help with video data for custom yolov3 model
This is how I would do it: https://github.com/stephanecharette/DarkPlate
-
I have a set of images with instances of two classes are labeled on it. Can I train Yolo V5 or V4 to detect both classes on a test image?
Here is an example project with 37 classes, and all the images are within the same folder: https://github.com/stephanecharette/DarkPlate/tree/master/nn
-
What is the best way to process video frames in darknet for YOLO object detection?
1) At the very bottom of this page: https://www.ccoderun.ca/darkhelp/api/API.html 2) This example github project: https://github.com/stephanecharette/DarkPlate
-
What are some of the best models/approaches for number plate recognition?
I use YOLOv4-tiny. I make two passes with the same neural network. First pass to find the plate, 2nd pass to read the characters. Demo (skip to 86 seconds): https://www.youtube.com/watch?v=jz97_-PCxl4&t=86s and code: https://github.com/stephanecharette/DarkPlate
-
need advice on a opencv project [Question] [Project]
See here for example, where frames are extracted and then passed to the neural network for processing: https://github.com/stephanecharette/DarkPlate/blob/master/src/main.cpp#L216-L217
What are some alternatives?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
DarkHelp - C++ wrapper library for Darknet
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
deep-license-plate-recognition - Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
carla - Open-source simulator for autonomous driving research.
Pine - :evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
anpr - Issue tracker e documentazione di ANPR - Anagrafe Nazionale della Popolazione Residente
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.