How To Run TensorFlow Lite on Raspberry Pi for Object Detection https://www.youtube.com/watch?v=aimSGOAUI8Y Edje Electronics

git clone https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi.git mv TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/ tflite1 cd tflite1 sudo pip3 install virtualenv

python3 -m venv tflite1-env source tflite1-env/bin/activate

install TensorFlow and OpenCV

bash get_pi_requirements.sh

Setting Up Detection Model's

update -- Tutorial Links --

UPDATE (10/21/20): At 6:09 in the video, I instruct you to go to the TensorFlow Lite Object Detection Overview page and right click the "Download starter model" link to copy the link address. The page has changed since I made this video, and that link is no longer correct. Copy this link for downloading the starter model: storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip

written guide

https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/deploy_guides/Raspberry_Pi_Guide.md

storres20 commented 1 year ago

terminal

Option 01

$ crontab -e

GNU nano

@reboot python /home/rasbp4/proyectoLCD/lcd/demo_lcd.py

Option 2

$ sudo nano /etc/rc.local

/home/rasbp4/proyectoLCD/lcd/demo_lcd.py

script model

! /bin/bash

execute a demo_lcd.py

python /home/rasbp4/proyectoLCD/lcd/demo_lcd.py

system

$ sudo systemctl status

storres20 / tutorial-rp4

Object detection #2