2022-02-03

Task 1 ML training dataset

• Done

Nothing

Task2 collect ML testing set

• Not much has been done
  
  

• try other ways of collecting data for testing set

• research

Task3 model comparison

• started

• google drive + docs file created with research notes

• looked into mAP

• look into model differences from top view and stanford drone

Task 4 DeepSORT

• Mock up of detect function running

• reformat to take in arguments

• continuing getting familiar with warg repo

Task 5 explosive pickup brainstorming

• Trying different ideas - contour detection

• Try building + implementing simple edge detection

Task 6 yolov5 model incremental training

• Training on Stanford drone 99% (using best.pt)

• Optimization on top view 96%

• share with task 3

• continue training

Task 7 Video interface of the groud station

• Done

• displayed video

• Connect video player to ground station

Task 8 Geolocation

• Talked to Ryan + got solid understanding

• continue geining a better understanding + teesting

Task 9 repo maintainence & unit test

• No updates + ongoing as no updates have been made

• unit test that needs to be done (not too sure)

Task 10 Integration test

• Will test modules given by Ray

Task 12 map labelling

• looking into google maps API

• creating a sample

• customize for comp needs