selma-21's repositories
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
StrongSORT
[TMM 2023] StrongSORT: Make DeepSORT Great Again
BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
pixel-perfect-sfm
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
libzbd
Zoned block device manipulation library and tools
sc_depth_pl
Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
SC-SfMLearner-Release
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
self-mono-sf
Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)
DIRTmu
Automatic root hair extraction from microscopy images
fry_course_materials
范仁义录播课资料
selma-21
Config files for my GitHub profile.
python-pcl
Python bindings to the pointcloud library (pcl)
SfmLearner-Pytorch
Pytorch version of SfmLearner from Tinghui Zhou et al.
visual_odometry
Visual Odometry
Graph-SLAM
Graph SLAM (16833 SLAM Project at CMU)
UniPose
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.
g2opy
Python binding of SLAM graph optimization framework g2o
A-simple-explanation
一个简单的解释
Code-for-DEEP-UNSUPERVISED-LEARNING-FOR-SIMULTANEOUS-VISUAL-ODOMETRY-AND-DEPTH-ESTIMATION-
Deep Unsupervised Learning for Simultaneous Visual Odometry and Depth Estimation (2019 ICIP)