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flori's Projects

detecting-anomalies-in-current-ship-trajectory-based-on-historical-data- icon detecting-anomalies-in-current-ship-trajectory-based-on-historical-data-

The project provides a solution for detecting anomalies in current ship trajectory in maritime traffic based on clustering results of historical data. The proposed method decides for each trajectory point if the vessel is anomalous, considering longitude, latitude, speed over ground and course over ground (direction) . It can detect anomalous navigational behaviors based on the mentioned parameters. The idea is to generate arbitrary shapes of moving patterns and stopping areas. If the anomaly ratio exceeds the threshold values the system will notify the authorities concerned and will also assist in navigating the ship back to the usual trajectory.

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

greykite icon greykite

A flexible, intuitive and fast forecasting library

iic icon iic

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

kaggle_ncfm icon kaggle_ncfm

Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mysql icon mysql

Docker Official Image packaging for MySQL Community Server

pcv icon pcv

Open source Python module for computer vision

pytorchdocs icon pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!

rust-course icon rust-course

“连续六年成为全世界最受喜爱的语言,无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book

torchssl icon torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

traj-dist icon traj-dist

A python package for computing distance between 2D trajectories.

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