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humphd / have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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Object Detection ... #1

Closed MyVanitar closed 7 years ago

MyVanitar commented 7 years ago

Hello,

First I should appreciate your tutorial.

My question is if we decided to detect objects in photos (draw rectangle on detected objects and get the coordinate of the center) what we should do?

and second, ho we can have video as input from the camera? (such as HDMi camera)

humphd commented 7 years ago

Glad you like it, thanks.

I've never played with object detection, but I am aware of this example that discusses it: https://github.com/NVIDIA/DIGITS/tree/master/examples/object-detection.

Working with video frames is what I'm interested in as well, and I'm doing it in Python using cv2.VideoCapture() and then reading each frame with .read() and passing that into the network instead of a single image. See https://github.com/alexgkendall/SegNet-Tutorial/blob/master/Scripts/webcam_demo.py for an example of this.

MyVanitar commented 7 years ago

Thanks for the reply. So as I assume, for the object detection, at least till the training stage would be the same, and only difference would be how to use the trained model, isn't it?

MyVanitar commented 7 years ago

Please make another tutorial for object detection with Fine tuning method. I will so appreciate. besides, after training how can we use our trained model to make standalone applications?

humphd commented 7 years ago

I've added a section and sample code for using the trained model in Python, see https://github.com/humphd/have-fun-with-machine-learning#python-example.

Doing an image detection example is a neat idea, but not something I'll be doing soon. I'm going to close this.