luxonis / luxonis-train
Training framework for easy creation, training and exporting of deep learning models.
☆14Updated this week
Alternatives and similar repositories for luxonis-train:
Users that are interested in luxonis-train are comparing it to the libraries listed below
- Luxonis ML library which abstracts logging, tracking, and other useful functionalities.☆14Updated this week
- Creation of annotated datasets from scratch using Generative AI and Foundation Computer Vision models☆115Updated last week
- DepthAI Model Zoo is a collection of open-source neural network models and datasets created and maintained by DepthAI developers and comm…☆38Updated 7 months ago
- Ultralytics GitHub Actions☆33Updated this week
- Vision-based heart rate estimation using OAK-D camera☆33Updated 3 years ago
- Repository of lightweight models for classification, object detection, segmentation and more. Deployable to OAK-D, OpenVINO, and ONNX.☆16Updated last year
- Passively collect images for computer vision datasets on the edge.☆31Updated last year
- Count GitHub Stars ⭐☆29Updated this week
- ☆14Updated last year
- Tool that builds graphs of DepthAI pipelines☆35Updated last year
- A high-performance library for detecting objects in images and videos, leveraging Rust's speed and safety. Optionally supports a gRPC API…☆24Updated this week
- Easy to use neural networks for NVIDIA Jetson (and desktop too!)☆75Updated 2 years ago
- TAO best practices. How to adapt for a new domain, new classes, and generalize the model with a small dataset using Nvidia's TAO toolkit☆24Updated 2 years ago
- An SDK for Transformers + YOLO and other SSD family models☆59Updated 2 months ago
- This repository provides optical character detection and recognition solution optimized on Nvidia devices.☆72Updated 3 weeks ago
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆126Updated 3 weeks ago
- KopikatAPI is Python library for interacting with the Kopikat API.☆17Updated last week
- NVIDIA Jetson amd Deepstream Python Examples☆30Updated 4 years ago
- ☆93Updated 6 months ago
- Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking☆69Updated this week
- Eye exploration☆25Updated last month
- Roboflow's inference server to analyze video streams. This project extracts insights from video frames at defined intervals and generates…☆14Updated 10 months ago
- Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.☆68Updated last week
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models☆65Updated last year
- This repository is helpful for installing DeepStream SDK and it's python bindings in dGPU machine.☆33Updated last year
- Compare Savant and PyTorch performance☆13Updated last year
- Quick start scripts and tutorial notebooks to get started with TAO Toolkit☆78Updated 7 months ago
- High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices☆125Updated last week
- Train and Inference your custom YOLO-NAS model by Pytorch on Windows☆35Updated last year
- Various tools for OAK-D camera☆29Updated last week