For this week, we have also had a major team change, but we manage to start working on the technical side of the project.
On the technical side, I am now trying to run some examples from the OpenPose open source directory to get a sense of how the application could be used and dig deeper into what are the methods to utilize the application as an API or third party helper in our design. The setup and compilation of a brand new open source project turns out to be more tedious than it seems. I tried for 8 hours to get OpenPose to compile on Mac OS on C++, and have one last issue about compatibility of python modules to get it compiled on Python. There is still a library version issue existing that prevents me from running the application after compiling, but it is close to working.
At the same time, we had a new member joining the team this week, so we as a team spent time discussing new project ideas, labor divisions and so on. We manage to add more functionalities into the system by discussing with faculty back and forth. We also finally settled our project idea and some detailed specifications.
I think given the twists and turns, we are in good shape, and from the new schedule that we are making, it seems that we will be able to finish the updated project by the current schedule.
ABET: The machine learning courses I took from the ML department helps me understand the underlying principles of OpenPose better. The ECE courses like embedded systems enabled me to learn how to build a device backend software system and even visualize data and system for both us developers and users to see.
I am hoping to solve the library issue to get OpenPose to run for the first time, explore how to also get it to work in Python given that we made the design choice of using Python as our main language, and try to explore the possibility on Windows if I have time.