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 MoreDeep Learning in practice in colorization old videos/movies/photos (black and white) in Real Time
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 MoreDeep Machine Learning: FACE DETECTION – Yolo2 model on iPhone (IOS) in practice – GPU not needed!!!
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 MoreArtificial Intelligence in practice in FACE Detection and recognition on video in Real Time
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 MoreDeep Machine Learning: Yolo2 model on iPhone (IOS) in practice
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 MoreArtificial Intelligence in object detection with poor lighting or darkness in Real Time – AMAZING!!! – part II
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 MoreArtificial Intelligence at NIGHT – Monitoring and object detection with poor lighting or darkness in Real Time – AMAZING!!!
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 MoreAI in City Monitoring and object detection
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 MoreArtificial Intelligence in Face Landmarking on IOS/Android (mobile application) – GPU NOT NEEDED
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 MoreArtificial Intelligence in practice: real-time human pose estimation using camcorder
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.”
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