Morphological Operations for Image Preprocessing in OpenCV, in Detail
In my last article, I wrote about some basic image processing in OpenCV. Today, we will advance a little bit and work on the morphological operations which are commonly used in…
In my last article, I wrote about some basic image processing in OpenCV. Today, we will advance a little bit and work on the morphological operations which are commonly used in…
One of the most used libraries for handling image processing and manipulation is openCV for Python users. For image classification, object detection, or optical character recognition, any work related to…
I have several tutorials on Tensorflow where built-in loss functions and layers had always been used. But Tensorflow is a lot more dynamic than that. It allows us to write…
Matplotlib is arguably the most popular visualization library in Python. The library is big and it is hard to really learn everything in the library. I have shared quite a…
Precision, recall, and f1-score are very popular metrics in the evaluation of a classification algorithm. It is very easy to calculate them using libraries or packages nowadays. But I believe…
Outliers can be a big problem in data analysis or machine learning. Only a few outliers can totally alter a machine learning algorithm's performance or totally ruin a visualization. So,…
Null values are a big problem in machine learning and deep learning. If you are using sklearn, TensorFlow, or any other machine learning or deep learning packages, it is required…
In most of the DataFrames, we see one index that works as a row identifier. But what if there is more than one index in a DataFrame. Is multi-index DataFrames…
Bar plot is pretty basic and very common. All the plotting libraries have bar plot options for sure. This article will focus on the animated bar plot. I will share…
Tensorflow is arguably the most popular package in deep learning and the neural network domain. I wrote a few different tutorials before on Regular Dense Neural Networks, CNN structure, and…