ZHANG ZHAOXIANG's repositories
Satellite_jitter_estimation_by_GAN
satellite jitter estimation and image restoration by GAN
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
CornerNet-Lite-Pytorch
:rotating_light::rotating_light::rotating_light: CornerNet:基于虚拟仿真环境下的自动驾驶交通标志识别
CornerNet_easy_use
a easy understand and used CornerNet
datasets
Datasets for deep learning with satellite & aerial imagery
hithesis
嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板
learnopencv
Learn OpenCV : C++ and Python Examples
Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
ml_segmentation
Machine learning semantic segmentation - Random Forest, SVM, GBC
MMD_Loss.Pytorch
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
pose_estimation
Code for our work on pose-estimation using template 3D models.
PoseEstimationForMobile
:dancer: Real-time single person pose estimation for Android and iOS.
project-posenet
Human Pose Detection on EdgeTPU
pytorch_simple_CenterNet_45
A simple pytorch implementation of CenterNet (Objects as Points)
RaySAR
RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.
SAN
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
SiamSE
Code for "Scale Equivariance Improves Siamese Tracking"
SOMatch
A Framework for Deep Learning-based Sparse SAR-Optical Image Matching
tensorflow
An Open Source Machine Learning Framework for Everyone
tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
tflite-mnist-android
MNIST with TensorFlow Lite on Android
Transfer-Learning-Library
Transfer-Learning-Library
UrsoNet
🚀 A neural network for monocular spacecraft 6D pose estimation: 3rd place solution of the European Space Agency’s pose estimation challenge
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.