hitsjn,github

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

aerial-image-superresolution

Dataset used on paper

aruco-makers

Examples in Python, Matlab, and C for interpreting data from UVC-Enabled Leap Motion Peripherals

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

caj2pdf-actions

CAJ云转换，基于Github Actions

cbam-keras

CBAM implementation on Keras

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deepvo

Deep Monocular Visual Odometry using PyTorch (Experimental)

diou-ssd-pytorch

Distance-IoU Loss into SSD

edh

A python edge histogram descriptor

ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

ippe

Infinitesimal Plane-based Pose Estimation (IPPE): A very fast method to compute a camera's pose from a view of a planar object

liegroups

Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multi-task-learning-pytorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

npy-matlab

Experimental code to read/write NumPy .NPY files in MATLAB

opencv_aruco_detect_angle_test

Script that renders aruco markes in different angles and tests the performance of detectMarkers and estimatePoseSingleMarkers

papers

Some papers that have been of great help in my work, especially in the fields of ML and DL.

phase-congruency-kovesi

Computes edge and corner phase congruency in an image, using Peter Kovesi's algorithm and based on his Matlab code.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

spatial-keypoint-distribution

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

zed-opencv

ZED SDK interface sample for OpenCV

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