It can be a good start to check the link below to get a grasp for the difference between framework and library: What is the difference between a framework and a library? Convert python opencv mat image to tensorflow. Use existing config file for your model. It could be (and has been) trained to detect image features, but only with a large set of training data. The API is an open source framework built on tensorflow making it easy to construct, train and deploy object detection models.
I was concerned with only the installation part and following the example which. Last API update: Release 1. There are many examples out there that explain you how you can do it, even the official documentation. So, I won’t dig deeper into it. Follow their code on GitHub. If you are not familiar with this API, please see the following blogs from me that introduce the API and teach you how to build a custom model using the API.
By voting up you can indicate which examples are most useful and appropriate. This video just goes over the basic NON Unity code involved and re-work I have to do in. Unable to load caffe framework models in opencv. DNN performance on mobile platforms.
CV DNN Caffe model with two inputs of different size. Is Opencv dnn module thread-safe. This guide trains a neural network model to classify images of clothing, like sneakers and shirts.