A Python wrapper for Google Tesseract

OpenCV <=> NumPy Converter using Boost::Python

PyTorch C++ inference with LibTorch

C++从零开始深度学习

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Keras implementation of Character Region Awareness for Text Detection (CRAFT)

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

OpenTLD is an open source library for real-time 2D tracking of a single object in video. This repository is no longer under development. For latest version see: http://www.tldvision.com/tld2.html

C++设计模式

C++设计模式

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Feature point tracking in Python 2 or 3, using the KLT method.

The source codes in the CVPR2013 Paper: Measuring Crowd Collectiveness

The binary code of generalized KLT tracker

Kanade–Lucas–Tomasi (KLT) feature tracker (MATLAB)

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

knowledge distillation papers

Python implementation of the Kalman-IOU Tracker

Python implementation of the IOU Tracker

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…

MoGA: Searching Beyond MobileNetV3

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

Models and examples built with TensorFlow

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏