Name		Name	Last commit message	Last commit date
parent directory ..
IoT		IoT
datablock		datablock
img		img
music		music
runs/detect		runs/detect
yolov5		yolov5
README.md		README.md
live_action.py		live_action.py
live_analysis(elderly).ipynb		live_analysis(elderly).ipynb
live_analysis.ipynb		live_analysis.ipynb
live_analysis.py		live_analysis.py
live_connection.py		live_connection.py
live_detections.py		live_detections.py
live_status_manager.py		live_status_manager.py
live_tkwindow.py		live_tkwindow.py
myenv.yml		myenv.yml
pyvenv.cfg		pyvenv.cfg
test.ipynb		test.ipynb
test.py		test.py
test_YOLO.ipynb		test_YOLO.ipynb
test_log.ipynb		test_log.ipynb
testyolov8.ipynb		testyolov8.ipynb
tktest.py		tktest.py
tkwindowtest.py		tkwindowtest.py
yolo-comparison-plots.png		yolo-comparison-plots.png

README.md

Live analyis

This is the part for PC.

Use conda activate myenv.yml

V1 Main program

live_analysis.ipynb is the main program

V2 Main program

live_analysis.py

Important Classes

live_connection.py has been used for connecting the camera data to the main program.
live_action.py for action controls(IoT devices)
live_detection.py for analysis on results
live_tkwindow.py for UI

Subclass

live_status_manager

Other code are most likely be some testing code. i.e.

test_YOLO.ipynb was used for tsting the YOLO model.(not useful now)
test.py can be used to test the connection between the pc and the camera.(terminal based)
testyolov8.ipynb use for test on yolo v8(new)
test_log.ipynb
tktest.py
tkwindowtest.py
test.ipynb new main test notebook