#计算机科学#A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action...
#自然语言处理#Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
翻译 - 使用几行代码将稀疏化配方应用于神经网络的库，实现更快和更小的模型
#Awesome#A list of popular deep learning models related to classification, segmentation and detection problems
#自然语言处理#Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
unoffical and work in progress PyTorch implementation of CutPaste
#计算机科学#Deploy Computer Vision solutions with a few lines of code.
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
#计算机科学#UNet based model that segment retina to 8 layers in OCT images
MFT: Long-Term Tracking of Every Pixel -- code for the WACV 2024 paper
#计算机科学#Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
A hands-on collection of foundational computer vision projects for everyone.
Python package for Stroke Width Transform - Localizing the Text (Letters & Words) in a Natural Image
"As-Rigid-As-Possible Shape Manipulation" & "Implementing As-Rigid-As-Possible Shape Manipulation and Surface Flattening" source code
Building a GUI tool to find the right parameters visually and quickly, for various Computer Vision algorithms
Vision Dashboard - A One-Stop CV Learning Tool
A non-deep learning sky detector method
#算法刷题#Pre-processing technique called DullRazor for the detection and removal of hairs on dermoscopic images.