lea-chen's repositories
Background-Matting
Background Matting: The World is Your Green Screen
caffe
Caffe: a fast open framework for deep learning.
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
coding-interview-university
A complete computer science study plan to become a software engineer.
edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Extend-Kalman-Filter
使用扩展卡尔曼滤波追踪自行车。
FaceRank
Deep Learning Demo
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
general_img_classifier
A general image classifier using Visual Bag of Words and SIFT, with OpenCV and scikit-learn
IELTS
剑桥雅思
Image-classification
Image Classification using SIFT, Bag of words, k means clustering and SVM Classification
Mog
视频中移动车辆的定位与车牌提取
neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
PaddleHub
Awesome Pre-trained Models Toolkit Based on PaddlePaddle（180+ models, including CV, NLP, Audio and Video, Onekey Inference&Serving）
PencilDrawing
:pencil2: Pencil drawing production.
PSMNet
Pyramid Stereo Matching Network (CVPR2018)
resources-of-learning
Documentations, books, courses, git repositories and so on.
retinanet-keras
这是一个retinanet-keras的源码，可以用于训练自己的模型。
RetinaNet_Tensorflow
Focal Loss for Dense Object Detection.
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
ROS-Academy-for-Beginners-Book-Melodic
**大学MOOC---《机器人操作系统入门》讲义，升级版本
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
snippet
just some code snippet
sword-for-offer
使用Python3用优雅的方式实现《剑指Offer》中的题目。
trash_classify
响应习大大的号召，进行垃圾分类。基于OpenCV和TensorFlow的生活垃圾图像分类识别。
Vehicle-Car-detection-and-multilabel-classification
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize