Segmentation pipeline with several models. implemented in tensorflow 2.1 without copied code
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Updated
Nov 4, 2020 - Python
Segmentation pipeline with several models. implemented in tensorflow 2.1 without copied code
Tensorflow v1.11.0 and Python3.x compatible of ENet. GPU/CPU.
Domain Adaptation for semantic segmentation
Segmentation using DeepLabV3+
AI核心库
[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL
This repository provides the official implementation for the publication "Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice"
[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL
[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing
Implementation of Pyramid Attention Networks for Semantic Segmentation.
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