Deep Learning in practice in colorization old videos/movies/photos (black and white) in Real Time

Deep Learning in practice in colorization old videos/movies/photos (black and white)  in Real Time – as sample for colorization is using movie from 1935 – “Smierc Jozefa Pilsudskiego”. On left side You can see original movie, on right side colorized movie by AI. System coloring in Real Time. System is running on my personal AI server […]

Read More Deep Learning in practice in colorization old videos/movies/photos (black and white) in Real Time
January 26th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning

Deep Machine Learning: FACE DETECTION – Yolo2 model on iPhone (IOS) in practice – GPU not needed!!!

I’d like present solution regarding Deep Machine in Real-time FACE DETECTION. PEFORMANCE IS AMAZING!!! GPU not needed!!! 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. Most of the existing face detection solutions detect the face […]

Read More Deep Machine Learning: FACE DETECTION – Yolo2 model on iPhone (IOS) in practice – GPU not needed!!!
January 23rd, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning, Mobile applications

Artificial Intelligence in practice in FACE Detection and recognition on video in Real Time

Deep Learning in practice in face Detection and recognition on video in Real Time. System detects on video President of Poland A. Duda. Another persons are labeled as Unknown. System no needs a thousand photos to learn recognize person becouse bases on biometric person parameters. To train and recognize president of Poland I used about […]

Read More Artificial Intelligence in practice in FACE Detection and recognition on video in Real Time
January 19th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Machine Learning

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
January 16th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning, Machine Learning, Mobile applications

Artificial Intelligence in object detection with poor lighting or darkness in Real Time – AMAZING!!! – part II

One another presentation my own solution bases on Artificial Intelligence in object detection with poor lighting or darkness in Real Time – AMAZING!!! System works on my own dedicated server for AI called as Archimedes

Read More Artificial Intelligence in object detection with poor lighting or darkness in Real Time – AMAZING!!! – part II
January 10th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning

Artificial Intelligence at NIGHT – Monitoring and object detection with poor lighting or darkness in Real Time – AMAZING!!!

My own system for monitoring areas and object detection at NIGHT in Real Time. The system perfectly recognizes objects with poor lighting or darkness. These are situations in which opencv or other solutions have problems and can not cope with the recognition of objects. System works on my own dedicated server for AI called as […]

Read More Artificial Intelligence at NIGHT – Monitoring and object detection with poor lighting or darkness in Real Time – AMAZING!!!
January 10th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning, Machine Learning

AI in City Monitoring and object detection

I’d like present my solution for monitoring city areas or another objects in Real Time. System bases on Deep Learning in practice. Amazing performance and precision in object detection. The system perfectly recognizes objects in rooms or in environments with poor lighting or darkness. These are situations in which opencv or other solutions have problems […]

Read More AI in City Monitoring and object detection
January 10th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence

Artificial Intelligence in Face Landmarking on IOS/Android (mobile application) – GPU NOT NEEDED

Artificial Intelligence in face landmarking based on biometric data on iPhone. Application works on my personal iPhone 6S Plus. Artificial Intelligence in face landmarking based on biometric data on iPhone. Application works on my personal iPhone 6S Plus and analysing video from TV http://maxprog.net.pl/wp-content/uploads/2019/02/landmark2.mp4

Read More Artificial Intelligence in Face Landmarking on IOS/Android (mobile application) – GPU NOT NEEDED
January 4th, 2020
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning

Artificial Intelligence in practice: real-time human pose estimation using camcorder

Artificial Intelligence in practice: real-time human pose estimation using camcorder. Real-time detection a part of a person’s pose that is estimated, such as the nose, ears, shoulders, elbow, wrists, hips. Testing AI library soon will be the article..

Read More Artificial Intelligence in practice: real-time human pose estimation using camcorder
January 1st, 2020
Posted in Artificial Intelligence, Machine Learning

[Solved]: Deep Learning of Darknet on GPU and error “CUDA Error: invalid device ordinal darknet: ./src/cuda.c:36: check_error: Assertion `0′ failed.”

When after compilation darknet with GPU=1 option, You  received error during execution darknet command like below: CUDA Error: invalid device ordinal darknet: ./src/cuda.c:36: check_error: Assertion `0′ failed. Abandon (core dumped) that means that You compiled sources with invalid arch attribute. For instance existing configuration: for RTX 2080 TI Dual is incorrect and destination valid arch […]

Read More [Solved]: Deep Learning of Darknet on GPU and error “CUDA Error: invalid device ordinal darknet: ./src/cuda.c:36: check_error: Assertion `0′ failed.”
October 7th, 2019
Posted in Artifficial Intelligence in practice, Artificial Intelligence, Convolutional Neural Networks (CNNs / ConvNets), Deep Machine Learning