wuxiangchao's Projects
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Google AI Research
The gphoto2 commandline tool for accessing and controlling digital cameras.
This is the Ground Control software used to control the Maslow CNC Machine
Python GUI to log/display telemetry data, display FPV video, and control on-board sensors
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Cross-platform GUI application for UAVCAN bus management and diagnostics
深度学习教程整理 | 干货
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
毕业设计,图像拼接
Implementation of Super Resolution CNN in Keras.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Entry examples for Machine Learning on Nvidia Jetson Nano board
Antmicro's open hardware baseboard for the NVIDIA Jetson Nano
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
introduction kalman filter
A dataset of 183 images and annotations for kangaroo detection.
Deep Learning for humans
Reference implementations of popular deep learning models.
Attention mechanism Implementation for Keras.
keras implementation of Faster R-CNN
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.