USB connection to Raspberry Pi

bubbabjh · March 8, 2021, 6:28pm

From what I’ve been able to find, I should be able to communicate over USB with a raspberry pi. I programmed the camera on my laptop, and saved the data under tools->save open script to OpenMV cam. I tried downloading the IDE for the pi onto the pi, and it was missing some libraries, which I also found some forum post on. saying how to fix it.

When reading in information using serial on the Pi, I got the message "Micropython v1.9-4580-g7747c5b36 on 2019-09-27; OPENMV4 with STM32H743\r\nType “help()” for more information.\r\n>>> "

My questions are:

Do I need the IDE on the Pi to run code on the camera when it is previously plugged into the Pi?
If no from what I read, all of the print data should be sent across the USB cable, is this correct, and can I read it in with serial.Serial()?
If I’m just confused and don’t know what I’m talking about, what is my next step?

kwagyeman · March 8, 2021, 6:28pm

The answer is right here.

github.com

openmv/openmv/blob/master/README.md#note

## OpenMV (Open-Source Machine Vision)

<p align="center">
<img style="border: 10px solid white;" src="https://raw.githubusercontent.com/openmv/openmv-media/master/boards/openmv-cam/v3/web-new-cam-v3-angle.jpg" width="320" height="320">
</p>

The OpenMV project aims at making machine vision more accessible to beginners by developing a user-friendly, open-source, low-cost machine vision platform.

OpenMV cameras are programmable in Python3 and come with an extensive set of image processing functions such as face detection, keypoints descriptors, color tracking, QR and Bar code decoding, AprilTags, GIF and MJPEG recording, and more. Additionally, the OpenMV Cam comes with a cross-platform IDE (based on Qt Creator) designed specifically to support programmable cameras. The IDE allows viewing the camera's frame buffer, accessing sensor controls, uploading scripts to the camera via serial over USB (or WiFi/BLE if available) and includes a set of image processing tools to generate tags, thresholds, keypoints, and etc...

The first generation of OpenMV cameras is based on STM32 ARM Cortex-M Digital Signal Processors (DSPs) and OmniVision sensors. The boards have built-in RGB and IR LEDs, USB FS support for programming and video streaming, a uSD socket, and I/O headers breaking out PWM, UARTs, SPI, I2C, CAN, and more. Additionally, the OpenMV Cam supports extension modules (shields) using the I/O headers for adding a WiFi adapter, a LCD Display, a Thermal Vision Sensor, a Motor Driver, and more.

The OpenMV project was successfully funded via Kickstarter back in 2015 and has come a long way since then. For more information, please visit [https://openmv.io](https://openmv.io)

## Building Firmware

For information on how to build the firmware for the OpenMV Cam please see our [Firmware Guide](src/README.md).

## Interface Library

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