Search Results for "transportation"

Mimesis is an open source high-performance fake data generator for Python, able to provide data for various purposes in various languages. It's currently the fastest fake data generator for Python, and supports many different data providers that can produce data related to people, food, transportation, internet and many more. Mimesis is really easy to use, with everything you need just an import away. Simply import an object, called a Provider, which represents the type of data you need. Mimesis currently supports 34 different locales, the specification of which when creating providers will return data that is appropriate for the language or country associated with that locale.

OpenAdapt is the open source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). OpenAdapt learns to automate your desktop and web workflows by observing your demonstrations. Spend less time on repetitive tasks and more on work that truly matters. Boost team productivity in HR operations. Automate candidate sourcing using LinkedIn Recruiter, LinkedIn Talent Solutions, GetProspect, Reply.io, outreach.io, Gmail/Outlook, and...

This software project provides a set of tools developed by Nicolas Saunier at Polytechnique Montreal and his collaborators for transportation data processing, in particular road traffic, motorized and non-motorized. The project consists in particular in tools for the most typical transportation data type, trajectories, i.e. temporal series of positions. The documentation is available at https://trafficintelligence.confins.net (redirects to https://bitbucket.org/Nicolas/trafficintelligence) The code is licensed under the MIT open source license (http://www.opensource.org/licenses/mit-license). ...

...Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).

The TRANSIMS Studio application is an integrated development environment for the TRansportation ANalysis and SIMulation System (TRANSIMS). Components include a run time environment to execute TRANSIMS in parallel, as well as a full featured GUI.

The aim of the DESC Pro program is to try to capture the dynamics of modern solar cell production lines using discrete event simulation techniques. All process and transportation events within the whole line can in principle be included in the simulations, which gives the advantage that dynamic aspects such as planned maintenance and random micro-stops can easily be taken into account.

"SiMTraM" Simulation of Mixed Traffic Mobility is an extension of SUMO (A Traffic Simulator Developed by DLR, Germany) for Heterogeneous traffic. This software is developed by Transportation Lab, IIT Bombay. SiMTraM supports the heterogeneous traffic behaviour often found at developing countries such as India, China and in most of the part of Asia and Middle East continent. SiMTraM also supports the homogeneous traffic found at other part of the world.