Raspberry_PI_src

This is a directory about Raspberry PI

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Operating System & Essential libraries

• OS : Ubuntu Desktop 22.04.3 LTS (64-bit)
  • Desktop OS with long-term support for RPi 4/400 models with 2Gb+

Package	Description	Version
OpenCV-python	OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.	4.8.1.78
Ultralytics	Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility.	8.0.205
Pytorch	PyTorch is a Python package that provides Tensor computation (like NumPy) with strong GPU acceleration & Deep neural networks built on a tape-based autograd system	2.0.1
Pyserial	This module encapsulates the access for the serial port.	3.5

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File description

1. best.pt : A Yolov8n model to use image prediction. It's already trained.

2. Raspi_Yolo.py : A source code to execute Raspberry PI.

3. test : A directory that used to test some image, FPS of Yolov8n, and others.

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Raspberry PI control diagram - Raspi_Yolo.py

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Whole file tree

[ 192]  .
├── [   0]  README.md
├── [ 11K]  Raspi_Yolo.py
├── [6.3M]  best.pt
└── [ 256]  test
    ├── [7.9K]  raspberry_pi_test.py
    ├── [298K]  test.png
    ├── [6.2M]  yolov8n.pt
    ├── [ 160]  test_frame
    │   ├── [4.2K]  test_frame.ipynb
    │   ├── [3.0K]  test_frame.py
    │   └── [5.2K]  test_frame_with_thread.py
    ├── [ 128]  test_serial
    │   ├── [3.3K]  test_serial.ipynb
    │   └── [2.2K]  test_serial.py
    └── [ 128]  test_window
        ├── [1.3K]  test_window.ipynb
        └── [ 743]  test_window.py

5 directories, 13 files