Hello everyone! We have an update to our schedule. We had to switch our presenters the past two weeks. Chris Knorowski has been rescheduled for this week. Chris from http://sensiml.com/ will be presenting on Python tricks. He is asking if you have any special requests??? Comment on the meetup or email us and he'll research it ahead of time.

We'll have a 30-minute demo and at the end of our session, we'll brainstorm and vote on new interesting topic ideas for upcoming presentations. The winning idea will get the innovator of the week.

Join the fun!

Ever wonder how autonomous cars or drones use computers for autopilot? Did you know Python is very powerful when it comes to detecting objects in an image? Imagine what it can do with a video? There is a tremendous amount of data in the video. Garrett will show an example program that can detect an object in your own webcam.

There are a few steps in the process. First, you have to gather negative files you want to use as background images. Second, you will create positive images by superimposing the image you want to detect. Last you will train a cascade file for your Python program to detect. I'll show you the three functions and how to run the training model. Plus demonstrate the live version of image detection. I have so much to cover in such a limited amount of time. I'm sure you'll learn and enjoy the topic. We'll have the 30-minute demo and at the end of our session, we'll brainstorm and vote on new interesting topic ideas for upcoming presentations. The winning idea will get the innovator of the week.

Join the fun!

This is a improvement session from Matplotlib. Seaborn is a powerful tools for plotting data used by Data Scientist. Join Ph.D. Ernest Bonat and Garrett Broughton as we share our knowledge on the extremely awesome Python library.

Do you want to learn and share your passion in a supportive community? Free Knowledge Mission is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by a feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Join us at TVF&R Station 67 in Beaverton every Saturday at 11 AM for Music/Art and 1 PM for Science/Tech.

Articulated pose estimation is one of the fundamental challenges in computer vision. Progress in this area can immediately be applied to important vision tasks such as human tracking action recognition and video analysis. This talk will discuss papers and progress of computer vision and deep learning towards human pose estimation and its applications.

Some papers that we can discuss here: Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., and Schiele, B. Deepercut: A deeper, stronger, and faster multi-person pose estimation model. CoRR abs/1605.03170 (2016). Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields, Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh CVPR 2017

I will lead the discussion and would encourage everyone else to think about applications and future research/ development ideas in this domain.

Bio:

Srujana Gattupalli is a Deep Learning Software Engineer at Intel Corporation. She received a PhD degree in Computer Science from the University of Texas at Arlington in 2018. Her research interests are focused on Machine Learning, Computer Vision, Human-Computer interaction and their applications for human body motion estimation and pose tracking in assistive technology. Her academic work experience includes a role as a research assistant at the Vision Learning Mining lab and teaching assistant for graduate courses. She has been a Graduate Intern at Intel Corporation in 2017, working towards research and development for autonomous driving and machine learning algorithms. In addition to this, she has worked as a Software Engineer at Cerner Corporation in 2014. Ms. Gattupalli is an active member of Upsilon Pi Epsilon (UPE) honor society in computing. She has published 7 peer reviewed papers, received 2 international awards and has served as a reviewer in many others. In her spare time, she enjoys painting, philately, reading books, travel and to seek outdoor adventures.