{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Naive Bees Image Loading and Processing\n", "> Can a machine distinguish between a honey bee and a bumble bee? Being able to identify bee species from images, while challenging, would allow researchers to more quickly and effectively collect field data. In this Project, you will use the Python image library Pillow to load and manipulate image data. You'll learn common transformations of images and how to build them into a pipeline. This is the Result of Project \"Naive Bees Image Loading and Processing\", via datacamp.\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: true\n", "- author: Chanseok Kang\n", "- categories: [Python, Datacamp, Vision]\n", "- image: images/bee_2.jpg" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Import Python libraries\n", "
\n",
"A honey bee.
The question at hand is: can a machine identify a bee as a honey bee or a bumble bee? These bees have different behaviors and appearances, but given the variety of backgrounds, positions, and image resolutions it can be a challenge for machines to tell them apart.
\n", "Being able to identify bee species from images is a task that ultimately would allow researchers to more quickly and effectively collect field data. Pollinating bees have critical roles in both ecology and agriculture, and diseases like colony collapse disorder threaten these species. Identifying different species of bees in the wild means that we can better understand the prevalence and growth of these important insects.
\n", "
\n",
"A bumble bee.
This notebook walks through loading and processing images. After loading and processing these images, they will be ready for building models that can automatically detect honeybees and bumblebees.
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "Now that we have all of our imports ready, it is time to work with some real images.
\n", "Pillow is a very flexible image loading and manipulation library. It works with many different image formats, for example, .png, .jpg, .gif and more. For most image data, one can work with images using the Pillow library (which is imported as PIL).
Now we want to load an image, display it in the notebook, and print out the dimensions of the image. By dimensions, we mean the width of the image and the height of the image. These are measured in pixels. The documentation for Image in Pillow gives a comprehensive view of what this object can do.
" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The image size is: (100, 100)\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "Pillow has a number of common image manipulation tasks built into the library. For example, one may want to resize an image so that the file size is smaller. Or, perhaps, convert an image to black-and-white instead of color. Operations that Pillow provides include:
\n", "Often, these kinds of manipulations are part of the pipeline for turning a small number of images into more images to create training data for machine learning algorithms. This technique is called data augmentation, and it is a common technique for image classification.
\n", "We'll try a couple of these operations and look at the results.
" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "What is an image? So far, PIL has handled loading images and displaying them. However, if we're going to use images as data, we need to understand what that data looks like.
\n", "Most image formats have three color \"channels\": red, green, and blue (some images also have a fourth channel called \"alpha\" that controls transparency). For each pixel in an image, there is a value for every channel.
\n", "
The way this is represented as data is as a three-dimensional matrix. The width of the matrix is the width of the image, the height of the matrix is the height of the image, and the depth of the matrix is the number of channels. So, as we saw, the height and width of our image are both 100 pixels. This means that the underlying data is a matrix with the dimensions 100x100x3.
Color channels can help provide more information about an image. A picture of the ocean will be more blue, whereas a picture of a field will be more green. This kind of information can be useful when building models or examining the differences between images.
\n", "We'll look at the kernel density estimate for each of the color channels on the same plot so that we can understand how they differ.
\n", "When we make this plot, we'll see that a shape that appears further to the right means more of that color, whereas further to the left means less of that color.
" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "Now we'll look at two different images and some of the differences between them. The first image is of a honey bee, and the second image is of a bumble bee.
\n", "First, let's look at the honey bee.
" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "Now let's look at the bumble bee.
\n", "When one compares these images, it is clear how different the colors are. The honey bee image above, with a blue flower, has a strong peak on the right-hand side of the blue channel. The bumble bee image, which has a lot of yellow for the bee and the background, has almost perfect overlap between the red and green channels (which together make yellow).
" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "While sometimes color information is useful, other times it can be distracting. In this examples where we are looking at bees, the bees themselves are very similar colors. On the other hand, the bees are often on top of different color flowers. We know that the colors of the flowers may be distracting from separating honey bees from bumble bees, so let's convert these images to black-and-white, or \"grayscale.\"
\n", "Grayscale is just one of the modes that Pillow supports. Switching between modes is done with the .convert() method, which is passed a string for the new mode.
Because we change the number of color \"channels,\" the shape of our array changes with this change. It also will be interesting to look at how the KDE of the grayscale version compares to the RGB version above.
" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "We've been talking this whole time about making changes to images and the manipulations that might be useful as part of a machine learning pipeline. To use these images in the future, we'll have to save our work after we've made changes.
\n", "Now, we'll make a couple changes to the Image object from Pillow and save that. We'll flip the image left-to-right, just as we did with the color version. Then, we'll change the NumPy version of the data by clipping it. Using the np.maximum function, we can take any number in the array smaller than 100 and replace it with 100. Because this reduces the range of values, it will increase the contrast of the image. We'll then convert that back to an Image and save the result.
Now it's time to create an image processing pipeline. We have all the tools in our toolbox to load images, transform them, and save the results.
\n", "In this pipeline we will do the following:
\n", "Image.open and create paths to save our images to