Building a Poor Man’s Deep Learning Camera in Python
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Building a Poor Man’s Deep Learning Camera in Python
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Re: Building a Poor Man’s Deep Learning Camera in Python
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#5which one is the cheapest and the most funnest to work with ?
Re: Building a Poor Man’s Deep Learning Camera in Python
#6> Rasp Pi + Camera/PIR to photograph birds > Connect to internet and post to wp, twitter and instagram
The final aim is to add an AI component to see if we can detect birds and keep a count
Re: Building a Poor Man’s Deep Learning Camera in Python
#7Re: Building a Poor Man’s Deep Learning Camera in Python
#8This is the project I am planning to do with my son as he's getting interested in computers and loves nature. The rough aims are - > Rasp Pi + Camera/PIR to photograph birds > Connect to internet and post to wp, twitter and instagram The final aim is to add an AI component to see if we can detect birds and keep a count
Re: Building a Poor Man’s Deep Learning Camera in Python
#9This is an awesome family xmas project. I don't have an old pc around to run YOLO / YOLO Tiny constantly though; can anyone recommend a cheap, suitable server provider for this? AWS EC2?
Re: Building a Poor Man’s Deep Learning Camera in Python
#10how does this compare with https://aiyprojects.withgoogle.com/vision ? which one is the cheapest and the most funnest to work with ?
The Google Vision Kit will run models on a custom neural processing chip connected to the Raspberry Pi Zero. With the DIY setup from the blog bost, the neural network runs on a "large pc" (potentially with GPU). Depending on the hardware you have at your disposal, you can run more complex (and therefore more powerful) neural networks. At the same time, you'll need wifi set-up and streaming to work. Completely embedded devices are easier to just put in the wild.
In theory, you should be able to use the models from the Vision Kit if you follow their instructions and just put the on a Raspberry Pi directly, and get an additional Movidius compute stick: https://developer.movidius.com/