Pinned Repositories
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QT与爬虫翻译
3d-pose-baseline
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
AutoAugment
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
autoaugment_2
corner-case
Automatic driving long tail / corner cases scenarios dataset (Anomaly detection)
CV_Interview_Codes
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
DL-HPE
Snipper
This is the re-implementation of paper "Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet"
ustbwanglu's Repositories
ustbwanglu/Snipper
This is the re-implementation of paper "Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet"
ustbwanglu/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
ustbwanglu/autoaugment_2
ustbwanglu/corner-case
Automatic driving long tail / corner cases scenarios dataset (Anomaly detection)
ustbwanglu/CV_Interview_Codes
ustbwanglu/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
ustbwanglu/DL-HPE
ustbwanglu/edgeai-yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ustbwanglu/HRnet
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
ustbwanglu/gdm
ustbwanglu/kapao-yolopose
KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
ustbwanglu/KeepAugment_Pytorch
:low_brightness:Unofficial PyTorch implementation of KeepAugment
ustbwanglu/MixSTE
Official implementation of CVPR 2022 paper(MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video)
ustbwanglu/mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
ustbwanglu/mmdetection
OpenMMLab Detection Toolbox and Benchmark
ustbwanglu/mmposev1
OpenMMLab Pose Estimation Toolbox and Benchmark.
ustbwanglu/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
ustbwanglu/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
ustbwanglu/OpenCV-MinGW-Build
👀 MinGW 32bit and 64bit version of OpenCV compiled on Windows. Including OpenCV 3.3.1, 3.4.1, 3.4.1-x64, 3.4.5, 3.4.6, 3.4.7, 3.4.8-x64, 3.4.9, 4.0.0-alpha-x64, 4.0.0-rc-x64, 4.0.1-x64, 4.1.0, 4.1.0-x64, 4.1.1-x64, 4.5.0-with-contrib, 4.5.2-x64
ustbwanglu/PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
ustbwanglu/Pedestron
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
ustbwanglu/PoseFormer
The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".
ustbwanglu/PoseNet
PoseNet
ustbwanglu/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ustbwanglu/TokenMix
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
ustbwanglu/trroad
MRSS dataset
ustbwanglu/VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint trajectories
ustbwanglu/WoodScape
The repository containing tools and information about the WoodScape dataset.
ustbwanglu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
ustbwanglu/yolov7-pytorch
这是一个yolov7的库，可以用于训练自己的数据集。