GuoqingDu's Projects
Measure air quality using the PMS7003
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
A Python module to handle the I2C communication between a Raspberry Pi and a BMP180
Realtime C++ code for multi-person pose estimation
Essential Cheat Sheets for deep learning and machine learning researchers
data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC
Convolutional Neural Networks
MOT tracking using deepsort and yolov3 with pytorch
Pure Python library for reading DHT11 sensor on Raspberry Pi
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
My daily
扩展卡尔曼滤波/ Extended Kalman Filter(EKF)
I am using LDA (Linear discriminant analysis) and PCA (Principal Component Analysis) for face recognition task on ORL dataset.The size of each image in this dateset is 92x112 pixels, with 256 grey levels per pixel. The images are organised in 40 directories (one for each subject), which have names of the form sX, where X indicates the subject number (between 1 and 40). In each of these directories, there are ten different images of that subject, which have names of the form Y.pgm, where Y is the image number for that subject (between 1 and 10).
🍎 My own face recognition with deep neural networks.
FERM: A Framework for Efficient Robotic Manipulation
Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
An implementation of Grad-CAM with keras
A Keras implementation of YOLOv3 (Tensorflow backend)
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
精益副业:程序员如何优雅地做副业
Learn OpenCV : C++ and Python Examples
Micropython driver for the PMS7003 Air Quality Sensor
Light-weight Single Person Pose Estimator
Models and examples built with TensorFlow
YOLO & RCNN Object Detection and Tracking
OpenCV extra data
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
K-means, MMD on iris data, PCA, LDA, kNN, LLE on human face recognition