Sharpiless's repositories
Yolov5-deepsort-inference
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中
Yolov5-Flask-VUE
基于Flask+VUE前后端,在阿里云公网WEB端部署YOLOv5目标检测模型
YOLOv11-DeepSort
YOLOv11 & YOLOv8 + DeepSort
Flow-Anything
Official implementation of our paper "Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images"
Awesome-Depth-Completion
2018-2024 in-depth completion of top papers, open source code summary! (Continuous update)
Train-RAFT-from-single-view-images
Official Code (new released) of "[ICCV 2023] MPI-Flow: Learning Realistic Optical Flow with Multiplane Images"
2024-Ruanjianbei-baseline
2024“**软件杯”大学生软件设计大赛飞桨小汪赛道-基线 Baseline 配置文件
LLM-Career-Toolkit
为LL.M.(法学硕士)准备的求职工具包(涵盖准备攻略、时间表、刷题指南、公司清单、考公、辅导员等资料)
Nanocrystals-TEM-segmentation
A project to segment nanocrystals or quantum dots based on transmission electron microscopy (TEM) images, enabling statistics on the number and size of nanocrystals
CascadeV-Det
Official Code of "[Arxiv 2024] CascadeV-Det: Cascade Point Voting for 3D Object Detection"
Nanocrystals-Deep-Learning
A deep learning model for predicting the size and morphology of colloidal nanocrystals (or quantum dots) from synthesis schemes
3D-Reconstruction-with-Uncalibrated-Stereo
The project explores 3D reconstruction using Multi-View Stereo (MVS) and Structure from Motion (SfM). We show the equations how to calibrate an uncalibrated stereo then reproject our image to 3D space.
awesome-state-of-depth-completion
Current state of supervised and unsupervised depth completion methods
ying-fu.github.io
Homepage
prolific_dreamer2d
Unofficial implementation of 2D ProlificDreamer (for other text-2-image generation tasks)
Sharpiless.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
StreamDiffusion
To Do: Train an inpainting model
L2M-1
Enhance dense feature matching with L2M, a framework that lifts 2D images to 3D space for improved robustness and generalization. 🌟🔧