This is a group for anyone interested in applying computer vision technology to solve real-world problems. We will explore the latest and greatest developments in the field and how people are leveraging frameworks like Caffe, TensorFlow, OpenCV, etc. We meet once a month at GumGum's headquarters in Santa Monica. Each meeting begins with food/drink followed by a presentation and then a chance to network with attendees.
If you have ideas, suggestions, or want to give a presentation, please reach out to us!
Given the rapidly growing utility of computer vision applications, how do we deploy these services in high-traffic production environments to generate business value? Here we present GumGum’s approach to building infrastructure for serving computer vision models in the cloud. We’ll also demo code for building a car make-model detection server.
-Multivitamin: an open-sourced Python framework for serving library-agnostic machine learning models
-Containerization: packaging everything you need into a single portable artifact
-CI/CD: automating builds and releases with Drone CI
-Custom auto-scaling: using AWS Lambda to scale our infrastructure based on business metrics
Greg Chu is a Senior Computer Vision Scientist at GumGum, where he works on both the training and large-scale deployment of object detection and recognition models. These models are applied within GumGum's products for contextual advertising and sports sponsorship analytics. Greg has a background in biomedical physics. In his Ph.D research he developed tumor segmentation models to assess the clinical progression of patients in FDA clinical drug trials.
Corey Gale is a Senior DevOps Engineer at GumGum. He works on automating cloud infrastructure for highly-scalable systems using open-source technologies. With his background in Robotics Engineering, Corey is a believer that through automation, anything is possible. He is also obsessed with process (measure all the things!), cost-reduction and entrepreneurship (Corey actually created a food delivery app in 2012, well before they became mainstream).
Location:[masked]th St. Santa Monica, 4th Floor
7:00 pm: meet, greet & eat
7:30 (ish) pm: begin
8:00 pm: doors close to new-entrants - so make sure to arrive before this time!
Santa Monica Library Parking Garage. An underground parking structure can be accessed from 7th Street between Santa Monica Blvd. and Arizona Ave. The first thirty minutes are free. Rates are $1 per hour for the first two hours and thirty minutes. After that, the rate is $1 per thirty minutes. Weekdays the daily maximum is $10. Weekends the daily maximum is $5. Parking on level P1 is restricted to stays of three hours or less. Parking spaces for those displaying disabled placards or plates are on P1. Visitors parking for three hours or longer should park on levels P2 or P3. The Library and GumGum do not provide validation for parking.
Street-level parking lot. A limited number of metered one-hour parking spaces are available. Entry to the lot is from 7th Street.
Meters. Located on 7th street outside our office.