Day 8

This morning, Varun showed us what he was doing for his project, which was essentially using Inventor to create 3D models of cars, buildings, and trees for his advisor to use in research. DIRSIG was another application that they used, which simulates what a sensor would detect given the atmospheric, environmental, and optical conditions that are inputted. After Hannah and I got back to our lab, Chris gave a detailed explanation of the GRIT (Goniometer at RIT), including all of its parts and the applications of the data collected. The GRIT machine basically measures the bidirectional reflectance properties of materials. He then turned on the GRIT machine and initiated a scan of a soil sample. It was interesting to watch the graphs on the computer change as the camera moved around the sample to capture reflectance. (Below is an image of the GRIT) In the afternoon, Hannah and I worked on creating a python code for detecting blobs within an image of a soil sample. Chris helped us when our codes malfunctioned and also showed us how to add packages and use the debugging tool. By the end of the day, I was able to display a desired image (in this case, an image of different coins) in grayscale. I finished most of the code for detecting blobs and finding key points (with Chris's help) but it doesn't seem to be functioning correctly when I run my program. I will have to find a solution to that problem tomorrow.


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