Hello. I would like to train a model with about 5 photos of me so that the AI knows that it is me. I plan to retrain him every time he changes my clothes so he knows it’s me. Since there are 5 photos, I imagine that the process will be simple and with the people detector I can easily cut the photos.
Hi @usuario1918, I think you will need more photos in your dataset. In my basic tests, I use a minimum of 100 images per class. And if you want it to be robust to different lighting conditions, camera angles, ect you may need to collect more than that.
I want to make a robot that will follow me when I ask. For that I look for him to only follow me with the clothes I currently have. That is to say, every time I tell it to follow me, it will take photos of me in seconds, it will train itself automatically and it will start to follow only me because it only recognizes me, that’s why I need them to be few, to train it on each request in a few seconds.
Don’t you think my idea can work (I’m installing everything to test)? Do you know any solution (maybe REID, I don’t know)?
I haven’t tried that REID project, but yes it is good you experiment with some other methods like in OpenCV, one-shot learning, DeepSort tracking, ect given that you want it to learn/track almost instantly.
If you know of any technology that simplifies my work, I’ll appreciate it (I’m researching).
For example, when you mention this about one-shot learning, python’s face_recognition library came to mind. With a photo it can detect if it’s you or not, but, I need that for the whole body (or part of the body).