stratospark

Generating Synthetic Data for Image Segmentation with Unity and PyTorch/fastai

Patrick Rodriguez | Posted on Wed 20 February 2019 in programming • Tagged with unity, deep learning, fastai, pytorch

Image Synthesis Intro This article and video tutorial will help you get up to speed with generating synthetic training images in Unity. You don't need any experience with Unity, but experience with Python and the fastai library/course is recommended. By the end of the tutorial, you will have trained an image segmentation network that can recognize different 3d solids.

Deep Learning, Applied. Project #2

Patrick Rodriguez | Posted on Wed 22 March 2017 in programming • Tagged with deep learning, keras, tensorflow, mobile, ios

Creating a Deep Learning iOS App with Keras and Tensorflow

Take the Food Classifier that we trained last time around and export and prepare it to be used in an iPhone app for real-time classification.

AI Tool Building

Patrick Rodriguez | Posted on Wed 01 February 2017 in programming • Tagged with python, deep learning, keras

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

By adding multiprocessing support to Keras ImageDataGenerator, benchmarking on a 6-core i7-6850K and 12GB TITAN X Pascal: 3.5x speedup of training with image augmentation on in memory datasets, 3.9x speedup of training with image augmentation on datasets streamed from disk.

Deep Learning, Applied. Project #1

Patrick Rodriguez | Posted on Sun 22 January 2017 in programming • Tagged with python, deep learning, keras

Food Classification with Deep Learning in Keras / Tensorflow

Work with a moderately-sized dataset of ~100,000 images and train a Convolutional Neural Network to classify the images into one of 101 possible food classes. Side excursions into accelerating image augmentation with multiprocessing, as well as visualizing the performance of our classifier.