Ran’s Status Report for 2/10/24

  • What did you personally accomplish this week on the project? 

After helping finish up the proposal slides, I worked on getting OpenCV and MediaPipe set up on my laptop. I first experimented with sampling a mp4 video into frames that are stored as images in a local folder, and it worked. Later on, after solving some capability issues when initializing MediaPipe, I successfully utilized the MediaPipe hand detection feature to generate landmarks dynamically on the video input. These landmarks, as we expected, exclusively cover the person’s hands and mark the fingers and knuckles. This accomplishment marked the completion of my assigned task of video processing. However, I noticed that the incorporation of MediaPipe’s hand detection model slowed down the frame processing rate, so I will continue researching for solutions to speed up the process.

Hand detection with video feed

 

 

 

 

  • Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?

My process is on schedule.

  • What deliverables do you hope to complete in the next week?

Boost CV processing

Detect webcam feed-in of static alphabetical gestures

Design presentation slides and speech

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