Run Tensorflow model with Intel Open Vino Model Zoo
You will structure your problem, first.
Think about something like this:
to read the image (or decode a frame from a video, capture a frame from a camera), and run an inference using the person-detection-model.
If you get at least one output (and checking the confidence-level, e.g. see whether it is 0.8 (80%) or higher), then you could run another inference using your trained umbrella-detection-model.
If you again get at least one output, checking confidence-level again - then you (only) know there is at least one person and at least one umbrella in the image.
But you cannot be sure if a person (at least one, could be many) is holding it in its hand - there could be many persons being detected and many umbrellas being detected.
I just started learning computer vision(newbie to neutral network)
If I want to make detect whether a human holding an umbrella or not with a pre-trained human model with an intel open vino model,
First, I train umbrella images
Second, Convert TensorFlow model to the Intel Open Vino model
Third, I am pretty lost here
I am not sure how to run my model with the pre-trained model. For example, what I want at the end is that if a human is holding an umbrella, then  (human holding an umbrella with a rectangular box) and
if not, it says no human holding umbrella... in a box.