Fairly new to machine learning, but have been doing raspberry pi stuff for a year or so.
My plan was to hang up the nano in a waterproof box with the v2 pi camera attached pointed at some bird feeders. I was hoping it would be able to detect the birds and document what species is feeding and when.
Is this project possible?
What resources/hardware do you recommend to get started?
Hi,
You can check this blog to get some information:
[url]https://devblogs.nvidia.com/jetson-nano-ai-computing/[/url]
Thanks.
Hi vondalej,
This sounds like a really cool project! Seems like a great application of Jetson Nano.
Hardware
You may want to check out the Jetson Nano compatible cameras we list in this issue
[url]https://github.com/NVIDIA-AI-IOT/jetbot/issues/29#issuecomment-481359800[/url]
There is also a lens kit for the M12 ArduCam boards that allows you to experiment with different fields of view. Which may be helpful for your application.
[url]http://www.arducam.com/arducam-m12-mount-lens-kit-raspberry-pi-arduino-cameras/[/url]
Software
It may help to get familiar with deep learning and the capabilities of Jetson Nano. We created the open source JetBot project for just this purpose
[url]https://github.com/NVIDIA-AI-IOT/jetbot[/url]
This project has tutorials that include collecting your own dataset, training and deploying for a custom task.
You may need to curate your dataset in a different manner, but the lessons will likely still help :)
Please let me know if you have any questions! I look forward to seeing how your project progresses.
Best,
John
Jetson hacks gave me this project as a reference.
My question is the install of Open CV3 and darkflow. Any literature on this around?
Hi,
OpenCV 3.3 is installed by default.
For darkflow, here is a tutorial for your reference:
[url]https://towardsdatascience.com/yolov2-object-detection-using-darkflow-83db6aa5cf5f[/url]
Thanks.
Ok, i have the hardware and capture program done. It’s generating pictures of birds as it sees and putting them in a folder.
I built the My Recognition program (jetson-inference/examples/my-recognition at master · dusty-nv/jetson-inference · GitHub) into that folder.
Does anyone have some code modifications to automatically run this when a new file is added to the directory?
In short, camera is running on a web server outside…bird program running on nano inside determines a bird is in the frame…nano creates a files (1.jpg for example)…my recognition sees a new files and runs program to identify bird…creates an output with the species
All but the last 2 parts are working. Worst comes to worse I run it manually, but it would be cool to automate this.
I think what you are looking for is the Linux inotify API, it alerts you to changes in the filesystem or a particular directory. See here for an example:
[url]Nothing found for 2010 04 Inotify C Program Example %5B Url%5D
Can a C program trigger a python script?