buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

Last update: Sep 26, 2022

Overview

buildseg

buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

TODO

Extract building on 512x512 remote sensing images.
Extract building on big remote sensing images through sliding frame and splicing.
Replace the model and parameters (large-scale data).
Convert to static weight.
Hole digging inside polygon.
Convert raster to shapefile by GIS instead of findContours in OpenCV.
Update plugin's UI.
Accelerate, etc.

Owner

Yizhou Chen

GitHub Repository

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buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

Related tags

Overview

buildseg

TODO

Owner

Yizhou Chen

yolov5 deepsort 行人车辆跟踪检测计数

Machine Unlearning with SISA

My take on a practical implementation of Linformer for Pytorch.

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buildseg is a building extraction plugin of QGIS based on PaddlePaddle.

Related tags

Overview

buildseg

TODO

Owner

Yizhou Chen

yolov5 deepsort 行人 车辆 跟踪 检测 计数

Machine Unlearning with SISA

My take on a practical implementation of Linformer for Pytorch.

StarGAN-ZSVC: Unofficial PyTorch Implementation

An Unsupervised Graph-based Toolbox for Fraud Detection

Code for the paper "Implicit Representations of Meaning in Neural Language Models"

Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning

Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework that ensures reliability, high concurrency and scalability of services.

A custom-designed Spider Robot trained to walk using Deep RL in a PyBullet Simulation

Official codebase for Pretrained Transformers as Universal Computation Engines.

Model search is a framework that implements AutoML algorithms for model architecture search at scale

Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"

Gin provides a lightweight configuration framework for Python

Generate high quality pictures. GAN. Generative Adversarial Networks

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PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021

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yolov5 deepsort 行人车辆跟踪检测计数