1zlab_color_block_finder

使用OpenCV实现色块追踪 为了方便大家入门OpenCV以及使用OpenCV实现颜色识别, 阿凯编写了相关的上位机脚本, 同时也有. 刚开始的时候, 你的精力可以放在算法流程上面, 没必要在前期过于关注代码的细节. 脚本的代码阿凯也是逐行注释的, 也可以作为你的项目参考 .

1zlab_pyespcar

1ZLab在准备挑选合适的小车来研发计算机视觉的教程时候 , 发现习惯了Python语法的我们, 在市面上找不到合适小车, 后来我们选了ESP32作为小车的控制主板, 可以使用Python对其进行交互式编程, 极大的提升了开发效率.

adversarialnetspapers

The classical paper list with code about generative adversarial nets

asms

Scale adaptive mean-shift tracker

bag-of-local-features-models

Pretrained bag-of-local-features neural networks

benchmark_results

visual tracker benchmark results

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

css

漂亮的 CSS 系列~

facerecognition

利用OpenCV、CNN进行人脸识别

faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

fastsam

Fast Segment Anything

few-shot

Repository for few-shot learning machine learning projects

few_shot_learning

classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network

free-vpn-1

我自己分享的一些免费机场以及免费VPN，白嫖为主

fss-1000

FSS-1000, A 1000-class Dataset For Few-shot Segmentation

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

honfi.github.io

honfii.github.io

A minimal Jekyll Theme to host your resume (CV)

hongfei1.github.io

keras-fewshotlearning

Some State-of-the-Art few shot learning algorithms in tensorflow 2

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

kuka-rsi-ros-interface

A ROS node for the manipulation of a KUKA robot arm via RSI 3

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

maml_pytorch

MAML implementation with pytorch

meta-critic-networks

Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

opencv3-python-learn

learning notes

plotneuralnet

Latex code for making neural networks diagrams