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Articles related to "video"


The Future of Computer Vision with AI Pioneer Senseye

  • The compute power needed to process large volumes of video data with custom technology is a limiting factor for the extraction of information from raw frames that are used to drive Senseye’s data products.
  • Recently, Senseye partnered with Saturn Cloud to make a breakthrough performance improvement in their machine learning work.
  • The video files are transformed into chunks of three-dimensional arrays and fed through several custom PyTorch models with more traditional analytic computer vision techniques to compute features, which are eventually used in downstream machine learning algorithms.
  • It means the limiting factor of on-premise computing for Senseye is totally eliminated, opening a path to lightning-fast machine learning.
  • Senseye leveraged Saturn to scale up to 160 T4 GPUs in the cloud, moving away from the limits of the previously-utilized on-premise machines.
  • Performance improvements like this are not far away in the future: Saturn puts these capabilities at your fingertips with its turnkey data science and machine learning platform.

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How to Deploy a Pre-trained Keras Model with OpenCV and Flask

  • In this post, I will share how to deploy a pre-trained model to a locally hosted computer with Flask, OpenCV and Keras.
  • The backend of the application was built in Flask, but I wanted to allow a live video stream that would detect a user’s face, labeling the classification on screen.
  • If you have a model, you can follow the same format, but if you do not, I would recommend reading my previous blog posts (Building a Convolutional Neural Network to Recognize Shaved vs UnShaved Faces & How to Split a Pickled Model File to Bypass Upload Limits on PythonAnywhere).
  • After reading documentation, watching YouTube videos, and reading blog posts, I found a very helpful article, COVID-19: Face Mask Detection using TensorFlow and OpenCV by Gurucharan M K.

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Actor Leslie Jordan reveals details of his life in quarantine

  • Known for his appearances in "Hearts Afire," "Will & Grace" and "American Horror Story," the 65-year-old hinted that he has much more in store when he spoke to CNN's Anderson Cooper on "Anderson Cooper Full Circle" on Friday to discuss life during quarantine.
  • Jordan has been lifting spirits during quarantine with his amusing Instagram stories.
  • He revealed that he was taking the interview from the set of a "top secret" project.
  • Being on-set during a pandemic "is a whole new world," as cast members are administered daily coronavirus tests and shooting video between plexiglass shields.
  • While he is unable to reveal information about the content at this time, Jordan admits he is intimidated by his rapidly approaching October 1 deadline.
  • He spent much of his own lockdown living in Tennessee where he took care of his 94-year-old mother.

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Must-watch videos of the week

  • Quentin Lee, a high school principal in Alabama, created a parody video of MC Hammer's "U Can't Touch This" to "offer a message of hope" and encourage his students to follow CDC guidelines during the coronavirus pandemic.
  • She starred in some huge Hollywood hits, but then Cameron Diaz decided to walk away from her acting career.
  • Hear her reasons for leaving, and see what her life is like these days.
  • Surfers at a popular beach in Australia got an unexpected visit from two southern right whales.
  • This is why they tell you not to touch things in a museum.
  • Surveillance video helped authorities track down the remorseful man.
  • Andrew Grande says his children were playing near a canal when a huge alligator approached them.
  • Thankfully, he quickly grabbed his kids and got them to safety.
  • Authorities later removed the nearly 600-pound gator from the canal.

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The Future of Computer Vision with AI Pioneer Senseye

  • The compute power needed to process large volumes of video data with custom technology is a limiting factor for the extraction of information from raw frames that are used to drive Senseye’s data products.
  • Recently, Senseye partnered with Saturn Cloud to make a breakthrough performance improvement in their machine learning work.
  • The video files are transformed into chunks of three-dimensional arrays and fed through several custom PyTorch models with more traditional analytic computer vision techniques to compute features, which are eventually used in downstream machine learning algorithms.
  • It means the limiting factor of on-premise computing for Senseye is totally eliminated, opening a path to lightning-fast machine learning.
  • Senseye leveraged Saturn to scale up to 160 T4 GPUs in the cloud, moving away from the limits of the previously-utilized on-premise machines.
  • Performance improvements like this are not far away in the future: Saturn puts these capabilities at your fingertips with its turnkey data science and machine learning platform.

save | comments | report | share on


How to Deploy a Pre-trained Keras Model with OpenCV and Flask

  • In this post, I will share how to deploy a pre-trained model to a locally hosted computer with Flask, OpenCV and Keras.
  • The backend of the application was built in Flask, but I wanted to allow a live video stream that would detect a user’s face, labeling the classification on screen.
  • If you have a model, you can follow the same format, but if you do not, I would recommend reading my previous blog posts (Building a Convolutional Neural Network to Recognize Shaved vs UnShaved Faces & How to Split a Pickled Model File to Bypass Upload Limits on PythonAnywhere).
  • After reading documentation, watching YouTube videos, and reading blog posts, I found a very helpful article, COVID-19: Face Mask Detection using TensorFlow and OpenCV by Gurucharan M K.

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Cardi B and Megan Thee Stallion's new video stuns fans with a surprise appearance by Kylie Jenner

  • The music video for "WAP" features the two rappers luxuriating in a huge, pastel-toned mansion -- strutting down hallways and dancing with cheetahs.
  • Many fans, it seems, were not exactly thrilled -- so much so that a petition to remove Jenner from the video has already received more than 33,000 signatures in less than 24 hours.
  • On person took matters into her own hands, editing Jenner's part out of the video and uploading it onto Twitter, where it has almost 300,000 views.
  • Jenner isn't the only cameo in the "WAP" video.
  • Her appearance has become so denounced that Betty White began trending on Twitter in an effort to have White replace Jenner in the video.
  • But regardless of some fans' opinion of Jenner, the video has been a hit, garnering 21 million views on YouTube in less than 24 hours.

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The Future of Computer Vision with AI Pioneer Senseye

  • The compute power needed to process large volumes of video data with custom technology is a limiting factor for the extraction of information from raw frames that are used to drive Senseye’s data products.
  • Recently, Senseye partnered with Saturn Cloud to make a breakthrough performance improvement in their machine learning work.
  • The video files are transformed into chunks of three-dimensional arrays and fed through several custom PyTorch models with more traditional analytic computer vision techniques to compute features, which are eventually used in downstream machine learning algorithms.
  • It means the limiting factor of on-premise computing for Senseye is totally eliminated, opening a path to lightning-fast machine learning.
  • Senseye leveraged Saturn to scale up to 160 T4 GPUs in the cloud, moving away from the limits of the previously-utilized on-premise machines.
  • Performance improvements like this are not far away in the future: Saturn puts these capabilities at your fingertips with its turnkey data science and machine learning platform.

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Colorado DA orders investigation into Aurora police over stolen vehicle mix-up

  • DA George Brauchler said in a statement on Friday that he has ordered his office to obtain and review all evidence related to the incident.
  • They were in the parking lot when Aurora police ordered them out of the car and on the ground at gunpoint during a stolen vehicle mix-up.
  • Gilliam said she, her sister and 17-year-old niece were handcuffed while police verified that the car she was driving was not stolen.
  • A Facebook video shows the children on the ground in a parking lot, surrounded by police.
  • Brauchler added that the Aurora Police Department and Chief Wilson are cooperating with the district attorney's investigation.
  • Chief Wilson has also ordered an internal affairs investigation and is examining the department's training and procedures.

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The Future of Computer Vision with AI Pioneer Senseye

  • The compute power needed to process large volumes of video data with custom technology is a limiting factor for the extraction of information from raw frames that are used to drive Senseye’s data products.
  • Recently, Senseye partnered with Saturn Cloud to make a breakthrough performance improvement in their machine learning work.
  • The video files are transformed into chunks of three-dimensional arrays and fed through several custom PyTorch models with more traditional analytic computer vision techniques to compute features, which are eventually used in downstream machine learning algorithms.
  • It means the limiting factor of on-premise computing for Senseye is totally eliminated, opening a path to lightning-fast machine learning.
  • Senseye leveraged Saturn to scale up to 160 T4 GPUs in the cloud, moving away from the limits of the previously-utilized on-premise machines.
  • Performance improvements like this are not far away in the future: Saturn puts these capabilities at your fingertips with its turnkey data science and machine learning platform.

save | comments | report | share on