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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

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

BentoML No 
Centific No 
E2E Cloud No 
Elai No 
Google Cloud GPUs No 
Hydro66 No 
Linker Vision No 
Magic Bullet No 
Maxint No 
Mitutoyo AI INSPECT No 
Modelry No 
NVMesh No 
Netris No 
SQream No 
SydeLabs No 
Unsloth No 
VerifyAX No 
einfochips No 
harrison.ai No 
zymtrace No 

Integrations

BentoML Yes 
Centific Yes 
E2E Cloud Yes 
Elai Yes 
Google Cloud GPUs Yes 
Hydro66 Yes 
Linker Vision Yes 
Magic Bullet Yes 
Maxint Yes 
Mitutoyo AI INSPECT Yes 
Modelry Yes 
NVMesh Yes 
Netris Yes 
SQream Yes 
SydeLabs Yes 
Unsloth Yes 
VerifyAX Yes 
einfochips Yes 
harrison.ai Yes 
zymtrace Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Darknet

Website

pjreddie.com/darknet/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/self-driving-cars/drive-platform/software/

Product Features

Product Features

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Alternatives

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