chdzhen's repositories
ARKit-Educational-Templates
ARkit 2 demos
CaptainBlackboard
船长关于机器学习、计算机视觉和工程技术的总结和分享
face_landmark
A simple method for face alignment based on wingloss and mutitask learning :)
faceboxes-tensorflow
a tensorflow implement faceboxes
pytroch_tensorflow2_API
pytroch_tensorflow2_API
centernet-pytorch
这是一个centernet-pytorch的源码,可以用于训练自己的模型。
DataAugmentationForObjectDetection
Data Augmentation For Object Detection
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
FB-SSEM-dataset
The FB-SSEM dataset is a synthetic datasetconsisting of surround-view fisheye camera images and BEV maps from simulated sequences of ego car motion
ImageMagick
ImageMagick 7
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
OpenOccupancy
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Peppa_Pig_Face_Engine
A simple face detect and alignment method, which is easy and stable.
pfld_106_face_landmarks
106点人脸关键点检测的PFLD算法实现
pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
segmentation_pytorch
semantic segmentation pytorch 语义分割
UniAD
[CVPR 2023 Best Paper Award Candidate] Planning-oriented Autonomous Driving
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch