Alex Leung's repositories
BAIBOT_Desktop_Application
Avatar desktop application by pyside2
CBAM_Paddle
CBAM attention module of paddlepaddle version
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Labelme-dataset-extension-script
对已使用labelme标注的数据集生成左右/上下镜面翻转后的图片与标注文件的python脚本，与labelme转labelimg脚本。
CV-Review
深度视觉资料整理
IRIS-Classification
IRIS Classification of Paddlepaddle
COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
mask-rcnn-camera-test
mask-rcnn 基于摄像头的测试程序
wxpython_camera
wxpython编写的摄像头采集图像程序，支持一般免驱摄像头、intel realsense、zed mini
DeepLearning-Practice
各神经网络与算法实现
OpenFace
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
ArUcoMarkersTools
用于计算摄像头内参与测试ArUcoMarkers
pyrealsense_collection
intel realsense camera jpeg&depth image collection application
ObjectDatasetTools
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
installSwapfile
Install a swap file on the NVIDIA Jetson Nano Developer Kit. This should help with memory pressure issues.
6D-Object-Pose-Prediction-Material
6D位姿检测学习资料
DoubleLayerANN
A ANN for Learning Back Propagation. 一个用于学习反向传播的双层神经网络的桌面应用
FCN_ECO
FCN-based Efficient Convolution Operators(ECO) vision tracking algorithm. 基于FCN改进的ECO视觉追踪算法.
Screen-Color-Checker
LCD驱动测试软件，分辨率640x480
EVAX-Android-Beta
内窥镜大主机送检版本-Android版本
chat_ui_practice
仿微信UI练习，基于Google Flutter框架
distribution_mall
A distribution mall based on flutter framework.
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
pose-tensorflow
Human Pose estimation with TensorFlow framework
flutter_practice
Google Flutter框架练手项目
LeNet-Test
基于C/C++标准库的LeNet版本
LeetCode-python
LeetCode Python版本练习