Computer Vision with Python for Image Automation

Learn how to create and call functions in Python using def, understand parameters and arguments, and explore function reuse, readability, and simple examples.

Master higher order functions in Python within computer vision and Python image automation, using functions as arguments or returning functions to create flexible, reusable code in practical examples.

Discover NumPy, a Python library for scientific computing that creates and manipulates multi-dimensional arrays, performs operations like mean, max, min, and demonstrates setup, indexing, slicing, and basic array creation.

Explore the pandas library for data analysis and manipulation in Python, including series and data frames, data import from CSV/JSON/Excel, and basic operations like filtering, sorting, merging, and grouping.

Learn to automate image resizing with Python using the Pillow library, set width and height, open and save output images via a simple script.

Learn how to crop an image with Python using the Pillow library, defining a crop box, opening and converting to RGB, and saving the cropped image via a reusable function.

Learn how to automate image cropping with Python using a crop_image function, including opening images, setting crop box parameters (top, bottom, left, right), converting to RGB, and saving results.

Explore writing a Python script using Pillow to add a watermark to an image. It covers a function, text, font settings, centering, and saving the watermarked image in VS Code.

Learn to apply watermarks to thousands of images with a Python and Pillow workflow, using batch_watermark to process bulk files from an input folder to an output folder.

Learn how to adjust image brightness with a Python script using the Pillow library, including opening an image, converting to RGB, enhancing brightness with a factor, and saving the result.

Generate color palettes from images using Python by importing Pillow, Counter, and webcolors, extracting and counting RGB colors, identifying the most common hues, and converting them to color names.

Learn to rotate an image with Python using the Pillow library, including opening the image, converting RGBA to RGB, rotating at an angle, and saving the result.

Learn to flip images with Python and Pillow, performing horizontal and vertical flips and saving the results. Install Pillow, import image module, open file, and apply left-right and top-bottom flips.

Extract text from images using a Python computer vision script with AI and Pillow. Install libraries, set the Tesseract executable path, and build the extract_text_from_image function.

Count the number of pixels in an image using Python and Pillow, retrieve width and height to compute the total pixels, and display the image dimensions and pixel count.

Learn to apply a gaussian blur to images using OpenCV in Python, including loading, processing, and displaying the original and blurred results with a simple script.

Learn to convert png to jpg with python using Pillow, opening images, converting to RGB, and saving as jpeg, with error handling and a reusable function.

Remove noise from images with Python and OpenCV by loading a noisy image, applying fast and mean denoising, and comparing original and denoised results in VS Code before saving.

Detect human faces with python using OpenCV and matplotlib, load the haarcascade frontal face default xml model, detect faces, and draw rectangles on them for display.

Explore the ethical implications, legality, and privacy concerns of image manipulation with Python, emphasizing consent, responsible use, and critical thinking in digital media.