[2024 DigiKey Creative Competition] "Dual Light Fusion" Smart Thermal Imager Part 1: Visible Light Part Implementation

JOEYCH · Published on 2024-10-19 18:55

[2024 DigiKey Creative Competition] "Dual Light Fusion" Smart Thermal Imager Part 1: Visible Light Part Implementation [Copy link]

# 【2024 DigiKey Creative Competition】“Dual-light Fusion” Intelligent Thermal Imager Part 1: Visible Light Implementation## 1. Getting Started with OpenMV### 1. OpenMVIDE #### 1.1 Software Installation Install the same software version as the one you are using from the official website URL: [OpenMV Download](https://openmv.io/pages/download) 
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 #### 1.2 Understand the functions and usage of IDE (1) Connect openmv to the computer via a data cable. An icon that can be connected will be displayed in the lower right corner of the IDE 
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 (2) Click Connect. The model and firmware information of the board and camera will be displayed in the information at the bottom 
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 #### 1.3 Demo Run Test (1) Click the green play button in the lower left corner to run the code. You can see that the code runs normally without any errors. The captured image is displayed in the frame buffer and the frame rate is output. The code is as follows: ```python # This work is licensed under the MIT license. # Copyright (c) 2013-2023 OpenMV LLC. All rights reserved. # https://github.com/openmv/openmv/blob/master/LICENSE # # Hello World Example # # Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script! import sensor import time sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(s ensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240) sensor.skip_frames(time=2000) # Wait for settings take effect. clock = time.clock() # Create a clock object to track the FPS. while True: clock.tick() # Update the FPS clock. img = sensor.snapshot() # Take a picture and return the image. print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected # to the IDE. The FPS should increase once disconnected. ```` (2) The running results are as follows: 
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JOEYCH · Published on 2024-10-19 18:56

Openmv related links:
URL: https://openmv.io/pages/download
Chinese tutorial: https://book.openmv.cc/
Chinese function documentation (older version, those who are capable are advised to read the English version directly): https://docs.singtown.com/micropython/zh/latest/pyboard/index.html

Openmv uses the MicroPython language, and here are the relevant links:
MicroPython official website: https://micropython.org/
MicroPython GitHub repository: https://github.com/micropython/micropython