318 Open source projects that are alternatives of or similar to kernelized_correlation_filters_gpu

This is the implementation of MOSSE tracking algorithm (correlation filter based).

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

Kernel Cross-Correlator (KCC) for Tracking and Recognition (AAAI 2018)

Go package for computer vision using OpenCV 4 and beyond.

Conversion of yolo from DarkNet to Caffe

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

yolov5 onnx caffe

deep-learning platforms,framework,data（深度学习平台、框架、资料）

Counting people, dog and bicycle using SSD detection and tracking.

Deep Developmental Reinforcement Learning

Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch

Surveillance System Against Violence

This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

caffe-yolo-9000

Tracker that uses computer vision methods to track players on the hockey field

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

Facial landmarks detection with OpenCV, Dlib, DNN

caffe based mobilenet v2 deploy

2021年计算机视觉技术综述分类汇总

A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

An open-source food image embedding model

No description or website provided.

Caffe Implementation of MobileNets V3

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

A TensorFlow implementation of the SiamFC tracker, use with your own camera and video, or integrate to your own project 实时物体追踪，封装API，可整合到自己的项目中

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

DeepDetect performance sheet

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

Faster R-CNN for pedestrian detection

Full package for applying deep learning to virtual slides.

caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

Object Detection and Tracking based on C++ and OpenCV

faster-rcnn_VS2013with C++

This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

实现常用的目标跟踪算法

install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Implement popular models by different DL framework. Such as tensorflow and caffe

TrackNet for badminton tracking using tensorflow2

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

qihoo360 xlearning with GPU support; AI on Hadoop

No description or website provided.

Squeak Object Tracker - Version control for arbitrary objects, currently with Git storage

The official VOT Challenge evaluation and analysis toolkit

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CNN model inference benchmarks for some popular deep learning frameworks

Training Low-bits DNNs with Stochastic Quantization

The U-Net Segmentation server (caffe_unet) for Docker

Python REST API to detect images with adult content

Collection of deep learning demos based on neworks from the Caffe Zoo

Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets