Python Powerplay: Image Processing with OpenCV

Learn how to use Python Powerplay: Image Processing with OpenCV effectively! Here are a few example prompts, tips, and the documentation of available commands.

Example prompts

1. Prompt 1: "Show me how to download and preprocess an image using OpenCV in Python."
2. Prompt 2: "Help me to apply a Gaussian filter to an image."
3. Prompt 3: "Using OpenCV, how can I detect the edges of an image?"
4. Prompt 4: "I want to search for an online dataset of cat images preprocessed with OpenCV techniques."
5. Prompt 5: "Can you explain how to use a deep learning algorithm for image classification with OpenCV?"

Features and commands

• Download and preprocess an image: The command download_image(url, width=800, height=600) downloads the specified image from the internet and resizes it to a specified width and height.
• Apply a Gaussian filter: The command gaussian_filter(image, sigma=5) applies a Gaussian filter to the input image with a standard deviation of sigma=5.
• Detect edges: The command edge_detection(image, method='Canny') applies the Canny edge detection algorithm to the input image.
• Search for online dataset: The command search_dataset(query='cat', preprocessed=True) searches for an online dataset of cat images that have been preprocessed with OpenCV techniques.
• Deep learning image classification: The command deep_learning_classification(image, model='resnet50', class='dog') uses the resnet50 deep learning model to classify the input image as 'dog'.