learnopencv
Deep-Learning-In-Production
learnopencv | Deep-Learning-In-Production | |
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6 | 2 | |
20,428 | 1,073 | |
- | 0.8% | |
8.6 | 0.0 | |
4 days ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
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.
learnopencv
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YOLO-NAS Pose
Deci's YOLO-NAS Pose: Redefining Pose Estimation! Elevating healthcare, sports, tech, and robotics with precision and speed. Github link and blog link down below! Repo: https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose
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Bidirectional Encoder Representations from Transformers
Discover the transformative influence of BERT (Bidirectional-Encoder-Representations-from-Transformers) on Natural Language Processing! Repo: https://github.com/spmallick/learnopencv/tree/master/BERT-Bidirectional-Encoder-Representations-from-Transformers Read: https://learnopencv.com/bert-bidirectional-encoder-representations-from-transformers/
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Diving deeper into KerasCV!
Read: https://learnopencv.com/comparing-kerascv-yolov8-models/ Repo: https://github.com/spmallick/learnopencv/tree/master/Comparing-KerasCV-YOLOv8-Models-on-the-Global-Wheat-Data-2020
- write a program to convert RGB to HSV and LAB color space.
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Object detection with depth measurement using pre-trained models with OAK-D
Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth
- [Question] How does one get all available coordinates in a color marked contour?
Deep-Learning-In-Production
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[P] Deep Learning in Production Book
The book is based on an old articles series we wrote on our blog so a big portion of the content is already available for free. We just organized/restructured some of the articles and we added some new material. We use a variety of examples with libraries such as Tensorflow, Flask, uWSGI, Nginx, Docker, Kubernetes, Tensorflow Extended, Google Cloud, Vertex AI. The full code and the articles can be found on Github (https://github.com/The-AI-Summer/Deep-Learning-In-Production)
- [D] Deep learning in Production
What are some alternatives?
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
ArtLine - A Deep Learning based project for creating line art portraits.
YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos