darknet_ros
DarkHelp
| darknet_ros | DarkHelp | |
|---|---|---|
| 4 | 7 | |
| 2,084 | 131 | |
| 1.7% | - | |
| 0.0 | 8.6 | |
| 8 months ago | 10 days 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.
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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 ?
DarkHelp
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Tips for making an Object Tracking Dataset
The code is open-source. The project starts with this: https://github.com/stephanecharette/DarkHelp/blob/master/src-apps/video_object_counter.cpp
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Yolov7 with c++
In my repo (https://github.com/stephanecharette/DarkHelp) I say that? Please show me where.
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Trim YOLO / darknet video?
From your description: I'd use the MoveDetect library to find where movement occurs, and then feed just those frames or videos into DarkHelp. Note that DarkHelp also has much richer JSON output than the vanilla Darknet CLI.
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Why is c++ compiling so damn hard?
Came here to say the same. I work mostly on embedded devices, OpenCV, ML/CV type of products. And all our cmake files use globbing, and we love it. Here is an example CMake file for an open source tool I publish on github: https://github.com/stephanecharette/DarkHelp/blob/master/src-lib/CMakeLists.txt
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Object detection CV models for CPU
I use the darknet C++ API, DarkHelp. But to be fair and in the spirit of full disclosure...I wrote it. :)
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Looking for “Computer vision, darknet yolo expert to run code on multi-GPU server”
(I'm the author of DarkHelp, the C++ layer for Darknet.)
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Annotating and detecting objects in a video
DarkHelp will load videos, run inference, and create a new output video. https://github.com/stephanecharette/DarkHelp
What are some alternatives?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
DarkPlate - License plate parsing using Darknet and YOLO
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
pydensecrf - Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
carla - Open-source simulator for autonomous driving research.
DarkMark - Marking up images for use with Darknet.
MoveDetect - Library to detect whether movement can be detected between two images or video frames.
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).
evoke - Magic build tool