VideoProcessing - Patrickz (Peerasan Buranasanti)

VideoProcessing

A collection of 6 posts

VR 360 Live Streaming

VR 360 Live Streaming

This is some of my VR work around 2015 - 2017. so don't compare with today tech. This is just my note and memories :) Actually, First time that I work about VR is around 2008 at company name Iwane Labs. They do something like google street view. This quite innovation

Real-time object detection on Vehicle with YOLOv3

Real-time object detection on Vehicle with YOLOv3

Testing YOLOv3: Real-Time Object Detection

Testing YOLOv3: Real-Time Object Detection

just my note I testing real-time object detection around 2018. So don't compare the result with today technologies. To do this in that time need high performance GPU hardware Yolov3 - All Pre-Trained Model Compare Pre-Trained Model: YOLOv3-Tiny YOLOv3-SPP, Spatial Pyramid Pooling YOLOv3 yolo9000 Keyword: #YOLO [https://www.facebook.com/

video stabilization

VideoProcessing

video stabilization

Video stabilization using VidStab and FFMPEG Vidstab [https://github.com/georgmartius/vid.stab] is a video stabilization library which can be plugged-in with Ffmpeg and Transcode. "A video acquired using a hand-held camera or a camera mounted on a vehicle, typically suffers from undesirable shakes and jitters. Activities such as

Real-time cartoon animation from Tiktok

Real-time cartoon animation from Tiktok

"Pose Animator takes a 2D vector illustration and animates its containing curves in real-time based on the recognition result from PoseNet and FaceMesh. It borrows the idea of skeleton-based animation from computer graphics and applies it to vector characters." Git: https://lnkd.in/gezfSnU #ComputerVision #Tensorflow #ImageProcessing #VideoProcessing #machinelearning #deeplearning

YOLOv4 Released

YOLOv4 Released

YOLOv4 just released. It's improve speed and better object detection accurately Paper: YOLOv4: Optimal Speed and Accuracy of Object Detection [https://arxiv.org/abs/2004.10934](PDF [https://arxiv.org/pdf/2004.10934.pdf]) Source code: https://github.com/AlexeyAB/darknet Samples