DarkMark
NerOne
Our great sponsors
| DarkMark | NerOne | |
|---|---|---|
| 8 | 1 | |
| 144 | 9 | |
| - | - | |
| 6.9 | 7.6 | |
| about 2 months ago | 4 months ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | 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.
DarkMark
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Using YOLO for annotation in CVAT
Also see DarkMark. For several years it has had support for loading custom Darknet/YOLO weights (not just MSCOCO!) to help annotate more images. https://www.ccoderun.ca/darkmark/Summary.html
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[Discussion] YOLOv5 training questions, specificaly re-training best practices
You should look at DarkMark. I wrote it specifically to do what you describe. It is an annotation tool that loads the Darknet/YOLO weights, so it can assist in annotating images. I annotate a few images and train, reload DarkMark to annotate some more, train, rinse, lather, repeat.
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When to use YOLOv5 and when not to use the model?
Disclaimer: I'm the author of DarkHelp (the C++ library for Darknet) and DarkMark (the annotation and project management tool for Darknet).
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Annotate data for tracking
If using Darknet/YOLO, look up DarkMark which does have support for video, as well as loading existing neural networks to help annotate images (or video frames) faster. Some info on getting started: https://www.ccoderun.ca/programming/darknet\_faq/#how\_to\_get\_started
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Free AI assisted image labelling tool
You can find DarkMark here: https://github.com/stephanecharette/DarkMark
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Reduce false positive in object detection
Disclaimer: I'm the author of DarkHelp and DarkMark, and I run the Darknet/YOLO discord.
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Extracting Images from Video
I use DarkMark's video import functionality to extract video frames. See this screenshot: https://www.ccoderun.ca/darkmark/Summary.html#DarkMarkImportVideoFrames
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Annotating and detecting objects in a video
DarkMark will extract frames from a video (lots of options, either all frames, sequences of frames, random number of frames, png vs jpeg, resize frames, ...) and then will let you annotate them as you normally would. https://github.com/stephanecharette/DarkMark
NerOne
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C++ neural network low level engine
Hello everybody! I want to share one thing I worked on for the last 2 months. https://github.com/Immortale-dev/NerOne
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Seayon - Open source Neural Network library in C++
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
SENG475-Neural-Network-Project - A C++ implementation of a classification neural network made for the final project of SENG 475 at UVic.
django-labeller - An image labelling tool for creating segmentation data sets, for Django and Flask.
flashlight - A C++ standalone library for machine learning [Moved to: https://github.com/flashlight/flashlight]
VIAME - Video and Image Analytics for Multiple Environments
cpp_nn_in_a_weekend - Article and source code reference to construct a C++ neural network in a weekend without any dependencies
DarkHelp - C++ wrapper library for Darknet
serving - A flexible, high-performance serving system for machine learning models
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
SNN - Neural network frame work for C++, error back probagation algorithm