I mentioned in the previous tutorial that there are two ways to do transfer learning via feature extraction: Or we can use feature extraction like this: We already saw in the previous tutorial how to do transfer learning with the second option. So in today’s blog post, I will show you how to do transfer learning via feature extraction with
Welcome to the fourth part of the Django blog tutorial series. In this part, we are going to allow users to create blog posts. We are also going to implement a comment system. We will continue where we left off in the third part. Users’ Posts Now that we have users in the system, we
In this tutorial, we will use transfer learning and fine-tuning with Python, Keras, and deep learning to classify images from the dogs vs cats dataset. We will use the VGG19 model pre-trained on ImageNet as our base model. What is Transfer Learning Transfer learning consists of using a model that has been trained on a large dataset such
In this tutorial, we will see how to use OpenCV Haar Cascades to detect license/number plates. Haar cascade is a type of machine learning algorithm that is used for object detection. It was first introduced in 2001 by Paul Viola and Michael Jones in the paper Rapid Object Detection using a Boosted Cascade of Simple Features. Now to
In this part, we are going to explore Django’s authentication system and how to create a profile page for users. So we are going to implement the following pages: sign up, log in, log out, reset password, change password, profile, and finally an edit page. Sign Up Let’s start with the signup view. Open the
In this tutorial, I will show you how to resize images using OpenCV’s cv2.resize() function. I will also show you how to resize an image by preserving the aspect ratio so that the resized image doesn’t appear distorted. The following image will be used as an example throughout this tutorial: The image has a shape of (400,
Training a deep neural network can take hours or even days to complete. It is not practical to train such a neural network every time you want to make predictions. In this case, you can save and then later reload your model. When you save a model you can save it after training or save checkpoints at regular intervals
This is the second part of the Django blog tutorial series. In this part, we are going to explore the MVT architecture. We will build the home page that lists all the blog posts and a second page that display all the details about a single post. We will continue where we left off in
In OpenCV, images are simply Numpy arrays. So we can use Numpy array slicing for image cropping and remove the part we are not interested in. The image below will be used as an example throughout this tutorial. Crop an Image Using OpenCV The first dimension of a Numpy array represents the rows of the array
In this tutorial, we will see how to rotate images with OpenCV using some built-in functions. The first one is cv2.getRotationMatrix2D which, as its name suggests, will give us the transformation matrix that we will use to rotate the image. The second function is cv2.warpAffine, this function applies the rotation by using the transformation matrix. Rotate Images with OpenCV