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cfg
cfg
 
 
data
data
 
 
deploy/triton-inference-server
deploy/triton-inference-server
 
 
models
models
 
 
paper
paper
 
 
scripts
scripts
 
 
tools
tools
 
 
utils
utils
 
 
.gitattributes.txt
.gitattributes.txt
 
 
.gitignore
.gitignore
 
 
LICENSE.md
LICENSE.md
 
 
README.md
README.md
 
 
Untitled0.ipynb
Untitled0.ipynb
 
 
app_main.py
app_main.py
 
 
app_main2.py
app_main2.py
 
 
app_main3.py
app_main3.py
 
 
app_main4.py
app_main4.py
 
 
app_main5.py
app_main5.py
 
 
app_main6.py
app_main6.py
 
 
app_main67py
app_main67py
 
 
database.db
database.db
 
 
detect.py
detect.py
 
 
export.py
export.py
 
 
hubconf.py
hubconf.py
 
 
mainwindow.ui
mainwindow.ui
 
 
mainwindow2.ui
mainwindow2.ui
 
 
requirements.txt
requirements.txt
 
 
sensor.py
sensor.py
 
 
tesssensor.py
tesssensor.py
 
 
test.py
test.py
 
 
train.py
train.py
 
 
train_aux.py
train_aux.py
 
 
x.py
x.py
 
 

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this Application build using python PyQt5 and Raspberry Pi 4b

Image

This application works by connecting the camera to the Raspberry Pi and sensor. When the sensor is active, the camera will take a picture and then the picture will be detected with the previous YOLOv7 training results. If successful, it will be counted. If it fails, it will be a failure.

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