Displaying 1 to 8 from 8 results

DataAugmentationForObjectDetection - Data Augmentation For Object Detection

  •    Jupyter

We support a variety of data augmentations, like. A quick start tutorial can be found in the file quick-start.ipynb in this repo.

powerai-counting-cars - Run a Jupyter Notebook to detect, track, and count cars in a video using PowerAI Vision and OpenCV

  •    Jupyter

Whether you are counting cars on a road or products on a conveyer belt, there are many use cases for computer vision with video. With video as input, automatic labeling can be used to create a better classifier with less manual effort. This Code Pattern shows you how to create and use a classifier to identify objects in motion and then track the objects and count them as they enter designated regions of interest. In this Code Pattern, we will create a video car counter using PowerAI Vision Video Data Platform, OpenCV and a Jupyter Notebook. We'll use a little manual labeling and a lot of automatic labeling to train an object classifier to recognize cars on a highway. We'll load another car video into a Jupyter Notebook where we'll process the individual frames and annotate the video.

handwriting-ocr - OCR software for recognition of handwritten text

  •    Jupyter

The project tries to create software for recognition of a handwritten text from photos (also for Czech language). It uses computer vision and machine learning. And it experiments with different approaches to the problem. Proces of recognition is divided into 5 steps, starting with photo of page with text.




phormatics - HackNYU2018 project focused on using A

  •    Jupyter

HackNYU2018 project developed in 36 hours, focusing on using A.I. and computer vision to build a virtual personal fitness trainer. Capable of using 2D human pose estimation with commodity web-cameras to critique your form and count your repetitions. This project won the award for "The Most Startup-Viable Hack" as awarded by Contrary Capital.

FaceRecog - Face Recognition using Neural Networks implemented using Keras

  •    Jupyter

Face Recognition on Yale Database using neural networks. OpenCV's Face Detection module is used in pre-processing stage.

Drowsiness_Detection

  •    Jupyter

This code can detect your eyes and alert when the user is drowsy. The example code is in Python (version 2.7 or higher will work).