:metal: awesome-semantic-segmentation
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
翻译 - MIT ADE20K数据集的语义分割/场景解析的Pytorch实现
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
翻译 - 这是TPAMI论文“视觉识别的深度高分辨率表示学习”的语义分段的正式实现。 https://arxiv.org/abs/1908.07919
Resources of semantic segmantation based on Deep Learning model
Nvidia Semantic Segmentation monorepo
翻译 - Nvidia语义分割monorepo
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
翻译 - PyTorch上的语义分割（包括FCN，PSPNet，Deeplabv3，Deeplabv3 +，DANet，DenseASPP，BiSeNet，EncNet，DUNet，ICNet，ENet，OCNet，CCNet，PSANet，CGNet，ESPNet，LEDNet，DFANet）
Web labeling tool for bitmap images and point clouds
PyTorch for Semantic Segmentation
4th Sem
Composite-based SEM
TensorRT+yolov5-seg
Python viewer for SEG-Y files
SEG-Y Reading in C#
SEG D bindings to ObsPy
Ferramenta para criação de payload HID para android sem nethunter e sem rubber ducky
Brazuca Community - Projeto sem fins lucrativos.
Pure java Seg-Y parser.
Convert between SEG-Y and NetCDF
fish-kong/Yolov5-Instance-Seg-Tensorrt-CPP
A framework to manage ns-3 simulation campaigns: let SEM perform multiple parallelized executions of your ns-3 scenario, permanently save the results and output them in plotting-friendly data structur...
Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia
翻译 - 不断为初级和实习生提供职位的公司
yolov5 seg fork from https://github.com/ultralytics/yolov5.
A Python package for reading and writing SEG Y files.
Material do tutorial "Capturando dados sem dor de cabeça"
Ligue automaticamente para empresas de cobrança e deixe uma voz falando "Alô?" sem parar.
The website of CS2030, 19/20 Sem 2.
翻译 - CS2030的网站，19/20 Sem 2。
A Qt C++ SEG-Y file viewer for microseismic SEG-Y data. Both 1C/3C waveforms and header information can be displayed.