Programmer Special Edition: Sign Language Tracker II
Recap We used a webcam with OpenCV and Google Mediapipe to identify human hands in real time. We then extract the landmarks coordinates, pre-processed it, and saved it into a…
Recap We used a webcam with OpenCV and Google Mediapipe to identify human hands in real time. We then extract the landmarks coordinates, pre-processed it, and saved it into a…
Weekly Schedule This week, we’re finalizing our project deliverables: wrapping up files, perfecting documentation, making the trailer, and preparing for next Monday’s final presentation. Also, we’ve received new feature requests…
Soft Opening During the soft opening on Monday, our project received valuable feedback from faculty members Mo, Chris, and Dave. While the overall feedback was very positive, there were some…
Schedule This Week This week, due to the carnival, we have holidays on Thursday and Friday, leaving us with only three working days. Below is the schedule for this week,…
Sign Language Tracker In response to the overfitting issue identified last week in our Sign Language Tracker, we implemented several strategies to improve model performance: Model Adjustment Strategies: We adjusted…
Parametric Game System Following our discussion last week about the parametric game system, we have extracted several key parameters as listed below. These parameters will be managed through a JSON…