Deep Machine Learning in practice: Darknet and Yolo2 model in Real Time face detection

I’d like present solution regarding Deep Machine in case of Real-time to face detection based on Yolo Model (read more) and created on Darknet(Darknet). Most of the existing face detection solutions detect the face only when the face is face-to-face directed to the camera or camcorder. In the case when the person turns the head, most […]

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Deep Machine Learning: Yolo2 model on iPhone (IOS) in practice – people detection

I’d like present solution regarding Deep Machine in case of Real-time object detection and classification based on Yolo Model (read more) created on Darknet(Darknet & Yolo). Application works on my personal iPhone 6S Plus and recording comes from my mobile

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Deep Machine Learning: Yolo2 model on iPhone (IOS) in practice

I’d like present solution regarding Deep Machine in case of Real-time object detection and classification based on Yolo Model (read more) created on Darknet(Darknet & Yolo). Application works on my personal iPhone.

Read More Deep Machine Learning: Yolo2 model on iPhone (IOS) in practice

Vue and Machine Learning – Real-time object detection and classification based on Yolo Model created on Darknet

I’d like present solution regarding application Deep Machine Learning on  Vue framework in case of Real-time object detection and classification based on Yolo Model (read more) created on Darknet(Darknet & Yolo) . Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and […]

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Vue 2 & Deep Machine Learning – Speech Command Recogniser

Today, I’d like present my own project regarding application Deep Machine Learning on  Vue framework in Speech Command Recognition. The final solution will be used in the mobile application built on the quasar framework. The presented solution has many advantages: 1. Solution works in Real Time 2. It works on all browsers and is written […]

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Vue 2 & Deep Machine Learning – Artificial Intelligence in Practice

The market for artificial intelligence is estimated at billons of dollars. Machine learning is breaking records of popularity. Artificial Intelligence begins to penetrate in more and more areas of life and economy. Recently, I created the Machine Learning component for Vue. The final solution will be used in the moblie application built on the quasar […]

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Solved: Tensorflow’s bug: label_image.py returns error during classification

  If following the codelabs for Retrain an Image Classifier for New Categories (CNN network) – retrein.py (https://github.com/tensorflow/hub/raw/master/examples/image_retraining/retrain.py) training worked fine but when you runned the script label_image.py (https://github.com/tensorflow/tensorflow/raw/master/tensorflow/examples/label_image/label_image.py) to evaluate a image: python -m scripts.label_image \ –graph=tf_files/retrained_graph.pb \ –image=tf_files/flower_photos/daisy/21652746_cc379e0eea_m.jpg and You’ve got the following error: The name ‘import/input’ refers to an Operation not in the […]

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Toxicity Prediction using Deep Learning

  The pharmaceutical industry has recently begun using deep-learning techniques to detect drugs and predict the effects of new toxins, and the analyzes carried out prove that these methods far outweigh the effectiveness of traditional screening tests https://www.frontiersin.org/articles/10.3389/fenvs.2015.00080/full

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FPGA processor: Deep Learning for security barrier camera sample to perform vehicle detection, vehicle attributes and license-plate recognition tasks. 

The demo illustrates my own solution for security barrier camera sample with pre-trained models to perform vehicle detection, vehicle attributes and license-plate recognition tasks. Solution bases on Intel and dedicated for mainly FPGA, but also works on CPU, GPU processors. Software written in low-level C/C++. Please pay attention that solution extracts region of country (i.e. […]

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Deep Learning in practice – detection and stuff (goods) recognising in real time

Artificial Intelligence in practice – my own system to detect and recognize stuff (goods) in real time. Notice that system recognises very good also parts of used things for tests e.g. part of people body etc.  Very good for detecting deficiencies(a damage of goods) on the production line in factories. Solution bases on Deep Machine […]

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