We finalized and submitted our preliminary proposal. Our new plan is to use web application to help the Physically Disabled People to detect object of their needs. The most updated schedule is listed bellow.
So, we did our presentation yesterday. Based on the feedback from Dr. Min and other classmates, we constantly realized that our original plan may have a problem. Hence, we had an urgent group meeting and we want to change our project to indoor object detection. Basically, we want to help people locate their personal items inside of a room. We will develop an app and user can talk to this app by saying "keys" or "mug". And our camera inside of the room will try to locate the place of the item. We like this new idea and we talked to Dr. Min. We will bring more update next week.
We had a meeting today to finalize the proposal and presentation. For proposal, Nulee was responsible for the first chapter, Dongfang prepared for LR, and Eunsuh completed the method and approach. Also, we made the presentation slides today and we designated Eunsuh to present the project background, project goals, and LR. Dongfang will present method, plan, and member roles. I
This week, we kept polishing the detail of our SSD model for object detection. For test purposes, we did not use large dataset but using the pictures that we downloaded from google image. We utilized the google_image_download API which can help us download the image with key words. We can download maximum 100 pictures at a time. After downloading the pictures, we deleted the unwanted pictures such as wrong file types or wrong objects in the image. This week, we only download a few hundreds of images of cellphones and desks/tables, because we need eventually identify where the object will be. For instance, "a cellphone is on the table." The picture labelling process is very time consuming. We need to label each pictures and save an annotation xml file associated with the original pictures.
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