F#, CUDA, Computer Vision, Deep Learning
https://youtu.be/OuE2bfxuSUo On a warm afternoon of October 23, 1975, one of the last days of Indian summer that year, Yozhik (aka Ejik, The Little Hedgehog) set out to visit his friend Medvezhonok (The Bear Cub). He was joining him, as he did every evening, for a night of stargazing. Only he never made a return … Continue reading A Deep Reinforcement Learning Journey Home.
Tensorflow C++ Video Detector It is time to validate all this arduous setup work, run our first C++ detector and reap the first benefits. You may clone this repository, which is a fork of this repository, modified and adapted to the modern times. Ensuring the Right Build Paths Note the following excerpt from CMakeLists.txt: The … Continue reading Supercharging Object Detection in Video: First App
Source code for the finished project is here. NVIDIA TensorRT is a framework used to optimize deep networks for inference by performing surgery on graphs trained with popular deep learning frameworks: Tensorflow, Caffe, etc. Preparing the Tensorflow Graph Our code is based on the Uff SSD sample installed with TensorRT 5.0. The guide together with … Continue reading Supercharging Object Detection in Video: TensorRT 5
I'm writing a series of posts on supercharging object detection inference performance in video streams using Tensorflow and cool tech from NVIDIA: step-by-step, starting from 6 fps all the way up to 230. But before I start, this small post is about a cool little gem, which I think is often overlooked. Anyone in the … Continue reading On the Margins: Non-maximum Suppression with Tensorflow
Viral F# 