learnopencv
| sign_language_detector | learnopencv | |
|---|---|---|
| 2 | 6 | |
| 3 | 20,408 | |
| - | - | |
| 0.0 | 8.6 | |
| almost 3 years ago | 9 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
sign_language_detector
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How to customize the dataset in this code (mediapipe)
Hello. I am very new to Jupyter Notebook and programming in general and things got a little confusing for me. So I'm trying to run this program from this GitHub link https://github.com/prp-e/sign_language_detector So far, it works for me and it was able to do the task intended. However, I was wondering how could I customize the dataset to my liking (i.e. using different words rather than the ones already included) for translation? Steps 5 and 6 of the notebook are data gathering and adding data to the CSV file, respectively, but when I ran it, it didn't change the dataset.
- Sign language detector/translator using mediapipe and scikit-learn (if you give me a star on github, I'll appreciate your kindness)
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?
What are some alternatives?
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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).
nlpaug - Data augmentation for NLP
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
CameraTraps - PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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.
xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API
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
F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results
fastMONAI - Simplifying deep learning for medical imaging
lane-detection-opencv - This is for detecting any lane in the road to identify the road map
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.