A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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Updated
Aug 3, 2024 - Python
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A treasure chest for visual classification and recognition powered by PaddlePaddle
A PyTorch Implementation of Single Shot MultiBox Detector
Code examples for new APIs of iOS 10.
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Notes for Fastai Deep Learning Course
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
Descriptive Deep Learning
📷 Point your camera at things to learn how to say them in a different language. Android app built with React Native.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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