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Misc

NVIDIA Announces Nsight Systems 2021.1

This release includes support and performance improvements for the latest top ray tracing game tiles on DirectX and Vulkan. Also included is support for the stats command on Windows CLI.

NVIDIA Nsight Systems 2021.1 is now available for download

Nsight Systems is a system-wide performance analysis tool, designed to help developers tune and scale software across CPUs and GPUs. Find out more at: https://developer.nvidia.com/nsight-systems 

This release includes support and performance improvements for the latest top ray tracing game tiles on DirectX and Vulkan. Also included is support for the stats command on Windows CLI.

Nsight Systems is part of a larger family of Nsight tools. A developer can start with Nsight Systems to see the big picture and avoid picking less efficient optimizations based on assumptions and false-positive indicators.

Check out our new blog  “Understanding the Visualization of Overhead and Latency in NVIDIA Nsight Systems”. If you are an nvprof or NVIDIA Visual Profiler user, be sure to read the blog posts [1], [2] & [3] to learn about migrating to their successors, Nsight Systems and Nsight Compute.

Subscribe to our YouTube channel for future release highlights and feature spotlights. 

If you have questions, contact us at our forums and visit our product page to download the latest release of Nsight Systems.

Categories
Misc

Startup Couples AI with OR Video to Sharpen Surgeon Performance, Improve Patient Outcomes

AI is teaching cars to make better decisions, so could it do the same for surgeons? Addressing that question is the mission of Theator, a startup based in Palo Alto, Calif., with an R&D site in Tel Aviv, that’s striving to fuel the nascent revolution in autonomous surgery. Theator co-founder and Chief Technology Officer Dotan Read article >

The post Startup Couples AI with OR Video to Sharpen Surgeon Performance, Improve Patient Outcomes appeared first on The Official NVIDIA Blog.

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Misc

Any thoughts on measuring the water level of a glass using vision

I am thinking about the possibilities of measuring the water quantity of a container using any vision system.

I come across time of flight cameras which can work on short ranges and can give water level.

I would like to know about your thoughts on that.

submitted by /u/Ahmad401
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C++ vs Python

If I redo all my python code in tf C++ API, Cython, and if necessary C++ would it actually be any faster if the most time consuming part is training the models? Does TF’s python API already execute the code in a similar way to how it would with the C++ API?

submitted by /u/BestUCanIsGoodEnough
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Suggestions on building machine transliteration models

I’m trying to build a english to assamese transliteration model. I tried character level NMT with attention, but not satisfied with the results, considering the Assamese language consists of prefix/suffixes. Currently exploring WFST. Has anybody worked on something similar?

submitted by /u/ckraybpytao
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tensorflow MIA

Hey guys,

I’ve been trying to install tensorflow on my computer in a venv. when I do pip list I am met with a list of modules. One of which is tensorflow 2.4.1 meaning that it should have install correctly(?).

However, when I do python3 and import tensorflow, it results in an error saying tensorflow.python doesn’t exist. Any ideas?

submitted by /u/Real_MichaelCera
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Misc

COMPUTER VISION OBJECT DETECTION

Hi everyone!

I have a project that I need help with. This project includes detecting object in a video down to an accuracy of a few pixels (stable background). If anyone one has any expertise please message me. I would love to get some help from this community. Thank you all 🙏🏻

submitted by /u/nomeaningg
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Misc

From Google researchers: State of the art in Video Stabilization!

From Google researchers: State of the art in Video Stabilization! submitted by /u/MLtinkerer
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Misc

GAN for vector images

I am trying to figure out how to generate images using vector graphics instead of raster images like normal. I can not find any resources that seem to be handling a similar goal.

I have built a system that follows the Pix2Pix tutorial, but there is not a nice way to create derivatives. I have tried a brute force method (subtract before image from after image divided by parameters) and a more clever method using triangle areas, but the images never stop looking like random messes.

I tried using TensorFlow agents to do RI learning, but once again just end up with random messes.

Is there maybe a paper or resource out there that I am missing because I do not know the right search terms?

submitted by /u/DrOchensati
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Neural Networks Generate New Dwight Schrute Quotes

Neural Networks Generate New Dwight Schrute Quotes submitted by /u/Snoo28889
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