OpenCV, PyTorch, Keras, Tensorflow examples and tutorials
A picture is worth a thousand words! As computer vision and machine learning experts, we could not agree more. Charts and graphs convey more compared to of tables Human intuition is the most ...
In this post, we will examine Otsu's method for automatic image thresholding. What is Image Thresholding? Image thresholding is used to binarize the image based on pixel intensities. The ...
Neural network usage usually takes a lot of computations, but in our modern world, even a smartphone can be a device to run your trained neural model. Today we will take a look at how we can convert a ...
Let’s play rock, paper scissors.You think of your move and I’ll make mine below this line in 1...2…and 3. I choose ROCK. Well? ...who won. It doesn't matter cause you probably glanced at the ...
In our recent post, receptive field computation post, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
In a previous post, we had covered the concept of fully convolutional neural networks (FCN) in PyTorch, where we showed how we can solve the classification task using the input image of arbitrary ...
