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Description
Envision images backed by accurate and detailed data to enhance your development workflow. Accelerate the journey of your innovative imaging products to market. It offers a comprehensive model of an imaging system, incorporating lenses, sensors, and image and signal processors (ISPs) prior to production. This solution fosters improved collaboration among design teams. You can be assured that the products will function correctly once manufactured. With a Python interface, you can automate ImSym processes seamlessly. Tailor ISP functionalities through Python-scripted routines to meet specific needs. The platform provides a user-friendly, cohesive, and collaborative workflow that enhances overall user satisfaction. It yields reliable outcomes driven by the industry-leading CODE V and LightTools. ImSym combines various features to simulate an imaging system object utilizing a graphics input file. Its precision is bolstered by CODE V and LightTools, renowned as the most reliable design solutions for imaging and illumination optics. Ultimately, this integration empowers teams to innovate with confidence and efficiency.
Description
Scikit-image is an extensive suite of algorithms designed for image processing tasks. It is provided at no cost and without restrictions. Our commitment to quality is reflected in our peer-reviewed code, developed by a dedicated community of volunteers. This library offers a flexible array of image processing functionalities in Python. The development process is highly collaborative, with contributions from anyone interested in enhancing the library. Scikit-image strives to serve as the definitive library for scientific image analysis within the Python ecosystem. We focus on ease of use and straightforward installation to facilitate adoption. Moreover, we are judicious about incorporating new dependencies, sometimes removing existing ones or making them optional based on necessity. Each function in our API comes with comprehensive docstrings that clearly define expected inputs and outputs. Furthermore, arguments that share conceptual similarities are consistently named and positioned within function signatures. Our test coverage is nearly 100%, and every piece of code is scrutinized by at least two core developers prior to its integration into the library, ensuring robust quality control. Overall, scikit-image is committed to fostering a rich environment for scientific image analysis and ongoing community engagement.
API Access
Has API
API Access
Has API
Integrations
Python
Akira AI
CODE V Optical Design
Cython
Label Studio
LightTools
MLReef
PostgresML
Yamak.ai
Yandex Data Proc
Integrations
Python
Akira AI
CODE V Optical Design
Cython
Label Studio
LightTools
MLReef
PostgresML
Yamak.ai
Yandex Data Proc
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Synopsys
Founded
1986
Country
United States
Website
www.synopsys.com/optical-solutions/imsym.html
Vendor Details
Company Name
scikit-image
Country
United States
Website
scikit-image.org
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
