DarkMark
VIAME
Our great sponsors
| DarkMark | VIAME | |
|---|---|---|
| 8 | 1 | |
| 144 | 264 | |
| - | 1.9% | |
| 6.9 | 9.4 | |
| about 2 months ago | 15 days ago | |
| C++ | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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
VIAME
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Data science for social good?
The company I currently work for - Kitware - works on various open source projects. I'm involved in several ecological projects under the VIAME umbrella.
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenCV - Open Source Computer Vision Library
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
django-labeller - An image labelling tool for creating segmentation data sets, for Django and Flask.
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
DarkHelp - C++ wrapper library for Darknet
Kornia - Geometric Computer Vision Library for Spatial AI
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
DarkPlate - License plate parsing using Darknet and YOLO
SpeciesClassification - To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301