Welcome to the hypraptive blog. Within this blog, we will examine some of the projects hypraptive are involved with. Topics include: deep learning, computer vision, convolutional neural networks (CNN) and this blogging platform (jekyllrb).
For the BearID Project webpage, click here.
- AWS Community Builders Announcing my involvement in the AWS Community Builders
- Azure Percept Pilot Grant An opportunity to enable BearID on an intelligent IoT device.
- Object Detection with Azure Custom Vision Experimenting with Microsoft Azure for the BearID Project through Microsoft's AI for Earth program. Object detection with minimal code using Microsoft Azure Custom Vision SDK.
- No-Code Image Classification with Azure Custom Vision Initial experiments with Microsoft AI for the BearID Project through Microsoft's AI for Earth program. Creating an image classifier without writing any code using Microsoft Azure Custom Vision.
- BearID To Go Deploying BearID to laptops using Docker.
- Into the Field The computer science team visits the field.
- Too Good To Be True When things seem little to good to be true, they probably are too good.
- Optimized Inference at the Edge with Intel Workshop Overview of a one-day, hands-on workshop on computer vision workflows using the latest Intel technologies and toolkits.
- Deep Cleaning: It's a real bear! Storing, organizing, labeling and cleaning data for the BearID Project.
- Seeing in 3D Exploring the real world with 3D vision
- First Kaggle Competition Our first Kaggle competition: the Statoil/C-CORE Iceberg Classifier Challenge. Our experiences and lessons learned
- The Bears of Glendale Cove, BC An overview of the bear data we received from Glendale Cove via BBRN.
- Collecting and Labelling Data Our efforts to collect and label more data.
- Kindred Spirits Our collaboration with the Brown Bear Research Network (BBRN).
- The Many Faces of Brooks Falls An overview of the bear data we have from Brooks Falls.
- Bear Face Chips From Videos Extending the bear face dataset by extracting face chips from videos.
- Calling All Bear Photographers A cry for help to find more bear photos for training our BearID program.
- BearID 1.0 Our first cut at an end-to-end bear identifier.
- Bear (C)hipsterizer Building a bear face chip extractor based on dlib's dog hipsterizer example.
- Building a Deep Learning Computer Building a computer with a GPU to run our Deep Learning tasks faster.
- Hipster Bears Having fun with dlib's dog hipsterizer example and realizing it just may be just what we need.
- Bear Face Detector Using dlib's HOG based detector make our first working bear face detector.
- Find the Bears: dlib Looking for a quick and simple object detector we can train for bear faces, we give dlib's HOG based detector a try.
- Find the Bears: YOLO Getting our feet wet by developing an object detector to detect bear faces. We start with the idea of Transfer Learning and try out a real-time object detection system called YOLO.
- FaceNet for Bears Our plan for a face recognition pipeline for bears inspired by FaceNet.
- Deep Learning in the Wild A brief overview of existing deep learning and computer vision projects aimed at identifying animals in the wild.
- Bear Necessities How do we tell one bear from another, and can this help us train a computer to do so?
- The Bears of Brooks River Why the bears of Brooks River and who are they?
- Blogging with GitHub Pages and Jekyll How we got this blog up and running with GitHub Pages and Jekyll.
- Guilty Pleasures Turning a guilty pleasure into a deep learning project.
- Diving into Deep Learning How we got into deep learning.
- Welcome to hypraptive! Introduction to hypraptive and this blog.
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