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Prikvačeni tweet
I just published my (free) 81-page guide on learning
#ComputerVision,#DeepLearning, and#OpenCV!
Includes step-by-step instructions on:
- Getting Started
- Face Applications
- Object Detection
- OCR
- Embedded/IoT
- ...and more!
Check it out here: http://pyimg.co/getstarted
pic.twitter.com/W02uBFmOvA
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@imneonizer@ECH11221 I believe both of you were specifically interested in this.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Be sure to give a *huge* thanks to the many contributions from
@opencvlibrary devs, especially@nulhom for leading the GSoC 2019 project and@yashassamaga for implementing NVIDIA GPU support. Without them this would not be possible. CC:@NvidiaAI@NVIDIAEmbeddedPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New tutorial!
How to use #OpenCV's Deep Neural Network ("dnn") module with@NvidiaAI GPUs, CUDA, and cuDNN: - 211-1549% faster inference - Compatible with#Python - Pre-trained models included http://pyimg.co/jfftm
#DeepLearning#MachineLearning#ArtificialInteligencepic.twitter.com/UdpfURFnad
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Adrian Rosebrock proslijedio/la je Tweet
A lot of tweets about
#PalindromeDay 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: https://youtu.be/4fE_sXZjxng pic.twitter.com/GD7zh50DPH
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New tutorial!
Object detection on the #RaspberryPi with YOLO/Tiny-YOLO,#OpenCV, and@IntelMovidius NCS: - Near real-time performance - Pre-trained YOLO model - Includes#Python code http://pyimg.co/esyem
#DeepLearning#MachineLearning#ArtificialInteliigence#AI#IoTpic.twitter.com/NxRTavIW6iHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New tutorial!
Intro to anomaly detection in images with #Python and#MachineLearning: - Automatically detect outliers/anomalies - Supervised and unsupervised training - Super easy to implement http://pyimg.co/jmnlg
#DeepLearning#OpenCV#ArtificialIntelligence#AIpic.twitter.com/XvsgX9Ew73
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CC:
@nulhom - Just wanted to give you a heads up that I published the "find_min_global" post as you suggested
Thanks again!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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
http://pyimg.co/soxbh
#Python#ComputerVision#MachineLearning#DeepLearningpic.twitter.com/WNG9nH82CJPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New tutorial!
Face recognition with the #RaspberryPi and@IntelMovidius NCS: - Handles *both* detection and recognition - 6.29 FPS - 243% speedup compared to CPU alone http://pyimg.co/r8yei
#Python#DeepLearning#MachineLearning#ArtificialIntelligence#AI#IoTpic.twitter.com/kcjpR2fFNT
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Been a very long (but productive) week. Closing it out by binging the
#FinalFantasy X-HD remake. Haven’t touched FFX since high school, forgot how much I enjoyed it
Also gets me excited for the #FinalFantasyVIIRemake later this year.
pic.twitter.com/411pPRmffp
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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.https://twitter.com/alisher_ai/status/1211701216981348352 …
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New tutorial!
Improve your #DeepLearning model accuracy with "label smoothing": - Super easy to implement - Better generalization - Includes#Keras and#TensorFlow 2.0 source code http://pyimg.co/22n38
#MachineLearning#ArtificialIntelligence#AI#DataSciencepic.twitter.com/28Sc2PoFDe
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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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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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My wife gives the best presents.
#ILoveYou3000pic.twitter.com/ssr5Jw1aPV
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New tutorial!
How to tune dlib shape predictor hyperparameters to balance:
1. Speed
2. Accuracy
3. Model size
Full tutorial: http://pyimg.co/8c4bt
#ComputerVision#MachineLearning#DeepLearning#ArtificialIntelligence#DataScience#Python CC:@nulhom (creator of dlib)pic.twitter.com/BJBdJvCjLH
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I frequently refer to
@BabaRamDass' 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.
pic.twitter.com/tTfN2rIumx
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Non-computer vision post: Tom King’s
#Batman 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.#DC#dcuniverse#comics#comicbookspic.twitter.com/m01nYI8xLQ
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New tutorial!
Learn how to train your own custom Dlib shape predictor.
- Step-by-step tutorial
- Full code walkthrough
- Includes trained models
http://pyimg.co/1pnjz
#Python#MachineLearning#ComputerVision#DeepLearning#AI#DataScience CC:@nulhom (creator of dlib)pic.twitter.com/MfFvhr3uvuHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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