Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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Updated
Oct 16, 2024 - C++
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Computer Vision and Image Recognition algorithms for R users
Open source software for chip reverse engineering.
SURF - Speeded Up Robust Features - source code
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.
Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.
[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network
This fork of the deep learning guide has been adapted to work with a variety of different inputs USB camera, GigEVision and RTP on the TX1 SoM. This is a a quick demonstrator and example for users of the Abaco Systems rugged Small Form Factor (SFF) TX1 boxed solutions. Please visit out website for more details.
Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.
Detect various irregularities of a product as it moves along a conveyor belt.
Solving Steam's captcha using OpenCV. Sort of ...
A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.
Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.
MorphoLogical AntiAliasing for monchromatic models
To make face and landmarks detection easy on Android based on SeetaFace2
Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.
Krunker AI Aimbot made with YOLOv4 object detection
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