AWS DeepRacer VS Viz4D
Compare AWS DeepRacer VS Viz4D and see what are their differences
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AWS DeepRacer
Comma.ai
Apollo (from Baidu)
Scootbee
Scale Self-Driving Training API
Cruise
Meeshkan
EDIT Self-Driving Car
Viz4D
Sketchfab VR
Sketchfab
Sketchfab configurator
Zakeke
Shapespark
Vectary
p3d.in
Viz4D helps you create top-performing web-based 3D viewer that works great on mobile and VR. It is tailored for real-time Archviz walkthrough, 3D product configurator and presentation.
Thanks to the unique sets of AutoOptimization tech, even a complex architectural scene with multi-millions poly now can be viewed easily on standalone VR headset without connecting to PC.
Viz4D is being used in various fields to create VR showroom, real estate 3D walkthrough tour, virtual gallery, museum, furniture and WebGL product configurator in VR...
AWS DeepRacer Viz4DNo features have been listed yet.
Viz4D's answer:
Thanks to Viz4D's unique sets of AutoOptimization tech, even a complex architectural scene with multi-millions poly now can be viewed easily on standalone VR headset without connecting to PC.
Viz4D's answer:
It is tailored for real-time Archviz walkthrough, 3D product configurator and presentation.
Viz4D's VR experience and performance is best in class. Able to view architectural scene directly on Quest 2 without PC connection, which is great when demo to clients.
Based on our record, AWS DeepRacer seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 3 months ago
I haven't used it, but I've heard good things about AWS' DeepRacer. It's supposed to be an all-in-one place to start for this kind of work. Source: 6 months ago
AWS DeepRacer is a service offered by Amazon Web Services (AWS) that combines machine learning, cloud computing, and robotics to provide a platform for learning and experimenting with reinforcement learning. - Source: dev.to / 8 months ago
Some other toy-scale self-driving car projects which come with simulators in case someone cannot get the hardware: 1. Duckietown: https://www.duckietown.org/ from ETH Zurich, comes with a MOOC with all material. 2. MuSHR: https://mushr.io/ from Sid Srinivasa’s group at UW. 3. F1TENTH: https://f1tenth.org/ probably the most popular, regularly heads physical competitions, sometimes at popular robotics conferences.... - Source: Hacker News / 12 months ago
I don't think I'll spend too much time writing about the history of deepracer, or what it is. You can read up on it on AWS website https://aws.amazon.com/deepracer/. - Source: dev.to / over 1 year ago
Comma.ai - Open source self-driving car platform
Sketchfab VR - Explore countless user creations from Sketchfab in virtual reality.
Apollo (from Baidu) - Open Source platform to develop autonomous driving systems
Sketchfab - Sketchfab is an industrial design software tool is useful for ideation and for beginners in the industrial design field.
Scootbee - Self-driving, dockless scooters from Singapore
Sketchfab configurator - Build your real-time 3D configurator