Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Darknet is a neural network framework that is open-source, developed using C and CUDA. Known for its speed and simplicity in installation, it accommodates both CPU and GPU processing. The source code is available on GitHub, where you can also explore its capabilities further. The installation process is straightforward, requiring only two optional dependencies: OpenCV for enhanced image format support and CUDA for GPU acceleration. While Darknet performs efficiently on CPUs, it boasts a performance increase of approximately 500 times when running on a GPU! To leverage this speed, you'll need an Nvidia GPU alongside the CUDA installation. By default, Darknet utilizes stb_image.h for loading images, but for those seeking compatibility with more obscure formats like CMYK jpegs, OpenCV can be employed. Additionally, OpenCV provides the functionality to visualize images and detections in real-time without needing to save them. Darknet supports the classification of images using well-known models such as ResNet and ResNeXt, and it has become quite popular for employing recurrent neural networks in applications related to time-series data and natural language processing. Whether you're a seasoned developer or a newcomer, Darknet offers an accessible way to implement advanced neural network solutions.
Description
Weasis is an open-source DICOM viewer available for free, designed for both standalone applications and web-based environments, characterized by its highly modular design. It finds extensive application in various healthcare contexts, such as hospitals, health networks, multicenter research studies, and even for personal use by patients. As a cross-platform solution, Weasis seamlessly integrates with systems like PACS, RIS, HIS, or EHR, providing versatility in its usage. The viewer utilizes the OpenCV library to ensure high-performance rendering and exceptional quality in medical imaging. Starting from version 4, Weasis boasts a user-friendly interface that adapts to different operating systems, optimizing the viewing experience on high-resolution displays. Among its notable features is compatibility with a diverse array of DICOM file formats, including multi-frame, enhanced, MPEG-2, MPEG-4, and others. Additionally, users can easily import DICOM files using DICOM Query/Retrieve (C-GET, C-MOVE, WADO-URI) and DICOMWeb (QUERY and RETRIEVE) protocols, as well as manage DICOM data on CDs or DVDs with DICOMDIR. Furthermore, Weasis continues to evolve, incorporating user feedback to enhance functionality and performance over time.
API Access
Has API
No
API Access
Has API
No
Integrations
OpenCV
No
XML
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Darknet
Website
pjreddie.com/darknet/
Vendor Details
Company Name
Weasis
Country
United States
Website
weasis.org/en/index.html