Satya Mallick

3.4K posts

Satya Mallick

Satya Mallick

@LearnOpenCV

CEO, https://t.co/CzUdJlxzJM. Course Director, https://t.co/O2Tz9vUOQ8 Entrepreneur. Ph.D. ( Computer Vision & Machine Learning ). Author: https://t.co/olraDEG5Ue

San Diego, CA Katılım Haziran 2008
911 Takip Edilen14K Takipçiler
Satya Mallick
Satya Mallick@LearnOpenCV·
Do they have acting coaches in soccer?
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Satya Mallick
Satya Mallick@LearnOpenCV·
(Google JAX: Not NumPy From Google, a System for Transforming Numerical Python) JAX is not NumPy from Google. It is a system for transforming numerical Python into code that can differentiate, compile, vectorize, and run fast on serious hardware. Full breakdown ⬇️ docs.jax.dev
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Satya Mallick
Satya Mallick@LearnOpenCV·
⚽ We tried running @Ultralytics YOLO26 using OpenCV 5 DNN Engine on World Cup footage and created a step by step tutorial for you to try it yourself ⚠️ Warning : There is one major limitation. Argentina Jersey #10 is incorrectly classified as "Person". Upon investigation we found there was no G.O.A.T class in the COCO dataset. Article with code in thread.
Satya Mallick tweet media
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Satya Mallick
Satya Mallick@LearnOpenCV·
(OpenXLA: The Shared Compiler Layer Under Your ML Stack) Your model can be very well designed and still waste expensive hardware. The compiler layer underneath decides how much performance you actually get. Full breakdown ⬇️ openxla.org
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Satya Mallick
Satya Mallick@LearnOpenCV·
(OpenCV Migration: The Breaking Changes to Check Before You Upgrade) Do not fear the OpenCV 5 upgrade, but do not do it blindly. Search your code for old C APIs, Caffe and Darknet loaders, cv2.ml, Haar cascades, HOG, and VideoCapture property checks first. Full guide ⬇️ opencv.org/opencv-5/
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Strata
Strata@ChainZenit·
@LearnOpenCV that is a fair point, are you moving to another alternative?
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Satya Mallick
Satya Mallick@LearnOpenCV·
No, they don't. Mistakes like this do not happen by chance. They took a calculated risk that people will be okay with such a violation of privacy. Show them it is not acceptable. Stop using xai
SpaceXAI@SpaceXAI

We care deeply about your privacy and respect customer choice. For teams using zero data retention, no trace and code data is ever retained. All API key use of Grok Build also respects ZDR. If ZDR is disabled, the /privacy command is available in the CLI to disable data retention, which also deletes previously synced data. Run the /privacy command to view or change your settings at any time.

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Satya Mallick
Satya Mallick@LearnOpenCV·
Mbappe was vertically challenged today. Sigh.
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Satya Mallick
Satya Mallick@LearnOpenCV·
(OpenCV 5: From Contours to Vision Language Models) OpenCV used to mean read images, find contours, draw boxes. OpenCV 5 runs vision language model inference end to end, with a sample running PaliGemma 2 on the DNN engine. Full breakdown ⬇️ opencv.org/opencv-5/
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Satya Mallick
Satya Mallick@LearnOpenCV·
(OpenCV 5: A Cleanup and a Serious Move Toward Modern AI) OpenCV 5 is not a flashy release. It is a cleanup and a serious move toward modern AI: new DNN engine, ONNX coverage from under 23 percent to over 80 percent, and 3D vision split into its own modules. Full breakdown ⬇️ opencv.org/opencv-5/
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Satya Mallick
Satya Mallick@LearnOpenCV·
(How Computer Vision Solved the Greatest Soccer Mystery of All Time) 1996, Wembley. The most argued-about goal in football history. Zisserman and Reid rebuilt the ball's trajectory from unsynced broadcast footage and found it fell short by at least 6 centimeters. Full deep-dive ⬇️ learnopencv.com/how-computer-v…
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Satya Mallick
Satya Mallick@LearnOpenCV·
(Semi-Automated Offside Technology, Part 2: Cameras, Digital Twins, and the Offside Line) The ball answers when. The cameras answer where. The digital twin answers which body part. The officials still answer the football question. Full deep-dive ⬇️ learnopencv.com/world-cup-2026…
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Satya Mallick
Satya Mallick@LearnOpenCV·
(Semi-Automated Offside Technology: How the Ball Times the Touch) The World Cup ball doesn't decide offside. It timestamps it: ~500 readings a second from an IMU inside, pinpointing the exact touch. Full deep-dive ⬇️ learnopencv.com/world-cup-2026…
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Satya Mallick
Satya Mallick@LearnOpenCV·
The whole AI field in one sentence: machine learning is how it learns, deep learning is the brain, computer vision the eyes, NLP the ears and mouth, robotics the hands and feet, recommendation systems the crystal ball, and fuzzy logic the conscience. Learn the vision side with code: learnopencv.com
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Satya Mallick
Satya Mallick@LearnOpenCV·
Happy 250th Birthday, America! Before I came to America, I knew it as a land of opportunity - a place where hard work is celebrated, failure is tolerated, and enterprise is rewarded. But after I arrived, I discovered something even more remarkable, something you can only truly experience up close: the warmth and generosity of its people. America is not just a country of opportunity. It is a country that welcomes. Thank you, America.
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Satya Mallick
Satya Mallick@LearnOpenCV·
1/2 New article about Semi-Automated Offside Technology (SAOT). Learn about 1. Multi-camera player tracking 3D pose estimation and digital twins 2. Connected-ball sensing with IMU-style accelerometer and gyroscope data 3. Sensor fusion between ball timestamps and player geometry 4. Why VAR and referees are still part of the decision loop
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