What is the name of the process (in python) who classify image (from webcam in my case) based on pre train model but without time cost trainning with my custom image ?
My question start with this code a “simple” knn features matcher WITHOUT TRAINING PART, based on ML5js example from coding train. You catch some images from your webcam, and directly the script labeled and included them in your model which start reacting from the first image recorded.
I want to make this in python in order to comminucate in a second time with unity game in C#. Basicly i want to make a gesture control game but the teaching part have to be part of the game but not taking more than a minute or two. (All include in a physical ML teaching totem for audience…)
What i have found so far in Python :
To be efficient, a model have to be trainned => For me i don't want it to be efficient for general case but only with something like 80 images for 4 differentes classes (Left, right, up, down).
When i am looking about features extractor, i always find a comparaison between two single images. => I want to compare the webcam stream with a bunch of images (About 80img in 4 classes)
I have found the term “bag of feature”, but it does not give me anything on web.
I am only looking for a documentation near form what i am looking or maybe an explanation.
Thanks for your quick reply.
Inference is one of the word i extract from this js code But i don’t find anything close to this method (Custom image dataset with pre-trained model).
Every thing i find have to be trained and take more time than i have for my final goal.
Could you help me more by indicate me a documentation, or example maybe ?