yatenglg's Projects
Tracking and collecting papers/projects/others related to Segment Anything.
基于pytorch的目标检测数据增强工具包。
cycleGAN个人复现
中英文注释,采用torchvision.models中模型的实现结构.带权重
dota2游廊自走棋关系图谱
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
The world's simplest facial recognition api for Python and the command line
Farm Together resource modification tool
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
可扩展的自动化个人代理ip池
Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (Xie et al., ECCV 2020)
IDAT(图像目标检测标注工具)
ISAT - Image segmentation annotation tool.(图像分割标注工具,支持语义分割与实例分割)
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
python刷leetcode记录。项目含有详细的代码注释和解题思路,并配有对应的leetcode中英文题目。The project contains detailed code comments and solution ideas(chinese), and has corresponding leetcode question content(Chinese and English).
机器学习算法实现(python)(详细的实现过程备注以及丰富的例子)
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
个人导航页面- 基于WebStack-Hugo
设计模式python版本
pointnet2(点云分割, 基于pytorch,全中文注释)
PSAT - Point cloud segmentation annotation tool. (点云分割标注工具,同时支持语义分割与实例分割)
Codebase for Image Classification Research, written in PyTorch.
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 100+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .
Python - 100天从新手到大师
Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)