Adrian Rosebrock

@PyImageSearch

PhD, Author, Entrepreneur. I write about , , and over at . Jurassic Park and RPG nerd.

Vrijeme pridruživanja: siječanj 2014.

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  1. Prikvačeni tweet
    9. lis 2019.

    I just published my (free) 81-page guide on learning , , and ! 🚀🔥 Includes step-by-step instructions on: - Getting Started - Face Applications - Object Detection - OCR - Embedded/IoT - ...and more! Check it out here: 👍

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  2. 3. velj

    I believe both of you were specifically interested in this.

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  3. 3. velj

    Be sure to give a *huge* thanks to the many contributions from devs, especially for leading the GSoC 2019 project and for implementing NVIDIA GPU support. Without them this would not be possible. CC:

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  4. 3. velj

    New tutorial!🚀 How to use 's Deep Neural Network ("dnn") module with GPUs, CUDA, and cuDNN: - 211-1549% faster inference - Compatible with - Pre-trained models included 👍

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  5. proslijedio/la je Tweet
    2. velj

    A lot of tweets about miss that 02 February 2020 is a palindrome in USA, UK and ISO formats; it is a palindrome day of the year (33) and there are a palindrome of days left in the year (333). This will never happen again. More details here:

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  6. 27. sij

    New tutorial!🚀 Object detection on the with YOLO/Tiny-YOLO, , and NCS: - Near real-time performance - Pre-trained YOLO model - Includes code 👍

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  7. 20. sij

    New tutorial!🚀 Intro to anomaly detection in images with and : - Automatically detect outliers/anomalies - Supervised and unsupervised training - Super easy to implement 👍

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  8. 13. sij

    CC: - Just wanted to give you a heads up that I published the "find_min_global" post as you suggested 😀 Thanks again!

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  9. 13. sij

    New tutorial!🚀 Automatically find optimal hyperparameters using dlib's "find_min_global" function: - Parameter free and provably correct - Easy as a single function call - Guaranteed global min 👍

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  10. 6. sij

    New tutorial!🚀 Face recognition with the and NCS: - Handles *both* detection and recognition - 6.29 FPS - 243% speedup compared to CPU alone 👍

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  11. 3. sij

    Been a very long (but productive) week. Closing it out by binging the X-HD remake. Haven’t touched FFX since high school, forgot how much I enjoyed it 😊 Also gets me excited for the later this year. 🤩

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  12. 30. pro 2019.

    My advice: Think of label smoothing as a form of vector quantization. Then, go read classical CV papers on bag of visual words (BOVW) models. They studied hard/soft assignment and quantization in a *ton* of detail. Explore their existing ideas and apply them to DL models.

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  13. 30. pro 2019.

    New tutorial!🚀 Improve your model accuracy with "label smoothing": - Super easy to implement - Better generalization - Includes and 2.0 source code 👍

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  14. 28. pro 2019.

    As a business owner, delegation can be scary, especially if you set a high bar for yourself and your team. I’m a classic Type A person which makes it even harder to delegate. But, I’ve learned that “discomfort” is just an opportunity to grow and mature. Embrace the discomfort.

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  15. 28. pro 2019.

    My New Years Resolution is simple: Learn how to delegate better. The PyImageSearch team is incredible and I need to empower them by learning how to take a step back — not everything can or should be done by me, regardless of how scary it is to relinquish control.

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  16. 25. pro 2019.

    My wife gives the best presents.

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  17. 23. pro 2019.

    New tutorial!🚀 How to tune dlib shape predictor hyperparameters to balance: 1. Speed 2. Accuracy 3. Model size Full tutorial: 👍 CC: (creator of dlib)

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  18. 23. pro 2019.

    I frequently refer to ' work, especially when I'm going through a hard time or specific individuals are causing me quite a bit of stress in my life. His "turning people into trees" work is something I constantly think about. Thank you for your life, friend. ♥️

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  19. 23. pro 2019.
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  20. 22. pro 2019.

    Non-computer vision post: Tom King’s is over, and while I’m sad there won’t be any more issues, I loved every single one of them (Rooftops especially). Amazing work, congrats to the DC team, and thank for you a truly wonderful story.

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  21. 16. pro 2019.

    New tutorial!🚀 Learn how to train your own custom Dlib shape predictor. - Step-by-step tutorial - Full code walkthrough - Includes trained models 👍 CC: (creator of dlib)

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