Hello GIGA Camera
HTML-код
- Опубликовано: 29 май 2023
- Basic exercise to demonstrate the use of a low-cost (Arducam OV7675) color camera with Arduino GIGA R1 WiFi board. The Processing (processing.org/) IDE running on the desktop computer displays the images from the GIGA board.
The basic purpose of this tutorial to establish a framework to capture still images for Machine Learning exercises such that the GIGA can be used for object detection and/or classification using TensorFlow Lite models developed using TinyML processes.
There are several other Arducam cameras that can be used with the GIGA but one must keep in mind that on-board memory despite the presence of two cores (M7 & M4) is fairly limited.
Thanks everyone for the feedback and suggestions.
The file processing_serial_port.pde is available at github.com/baqwas/giga/tree/m...
E&O excepted: several minor A/V embellishments not implemented
Sample support boards available at Thingverse:
Arduino Mega\UNO prototyping board
www.thingiverse.com/thing:213...
Arduino Mega Breadboard Holder
www.thingiverse.com/thing:522...
Arduino Mega holder with breadboard
www.thingiverse.com/thing:521...
Arduino Mega and Breadboard support
www.thingiverse.com/thing:416...
Arduino MEGA2560 R3 project board
www.thingiverse.com/thing:342...
Arduino + mega2560 Testboard
www.thingiverse.com/thing:574...
could you please tell us where to get the green frame (shop or stl). thanks
I've updated the description section of the video with some options for you. If you need the specific one in the video, send me your email address and I'll drop you the corresponding STL file. Let me know if you have any other question or suggestions. Regards.
thanks for you kind support @@MathaGoram
I am struggling to find the processing_serial_port.ade sketch. Can you provide a link in the description section above please ?
I'm still struggling on the most optimal way to leverage GitHub for my videos. In most cases, it amounts to having just a few files for each video. However, GitHub is so rich that beginners might get the wrong idea in how to use GitHub efficiently. For now, the best way is to send you the file that I used. Drop me a forwarding address to my address (channel name using Google mail) and I'll send you the file(s) that I used in the demonstrations. I will definitely leverage GitHub for these videos in the near future.
The link to the requested file is in the Description section. You are welcome to browse the baqwas/giga repository at GitHub too!
Thank you Matha, will see how we go.@@MathaGoram