9/19/2023 0 Comments Imagemagic scale![]() Introduction to Psychology by Yale University.Business Foundations by University of Pennsylvania.IBM Data Science Professional Certificate by IBM.Python for Everybody by University of Michigan.Google IT Support Professional by Google.The Science of Well-Being by Yale University.AWS Fundamentals by Amazon Web Services.Epidemiology in Public Health Practice by Johns Hopkins University.Google IT Automation with Python by Google.Specialization: Genomic Data Science by Johns Hopkins University.Specialization: Software Development in R by Johns Hopkins University.Specialization: Statistics with R by Duke University.Specialization: Master Machine Learning Fundamentals by University of Washington.Courses: Build Skills for a Top Job in any Industry by Coursera.Specialization: Python for Everybody by University of Michigan.Specialization: Data Science by Johns Hopkins University.Course: Machine Learning: Master the Fundamentals by Stanford.Here we give professor frink a blue shirt.Ĭoursera - Online Courses and Specialization Data science Its value must be between 0 and 256^2 specifying the max geometric distance between colors to be considered equal. The fuzz parameter allows for the fill to cross for adjacent pixels with similarish colors. With image_fill we can flood fill starting at pixel point. Image_modulate(frink, brightness = 80, saturation = 120, hue = 90) Modulate and paint an image: # Change the brightness, the saturation and the Hue Rotate or mirror the image image_rotate(frink, 45) Options are here width:100px and height:150px starting +50px from the left image_crop(frink, "100x150+50") image_border(frink, color = "red", geometry = "20x10"): adds a border of 20px left+right and 10px top+bottomĬhange image border and background: # Add 20px left/right and 10px top/bottom.image_fill(image, color = "blue", point = "+100+200"): flood fill with blue starting at the point at x:100, y:200.image_scale(image, grometry = "x200"): resize proportionally to height: 200px.image_scale(image, geometry = "200"): resize proportionally to width: 200px.image_crop(image, geometry = "100x150+50"): crop out width:100px and height:150px starting +50px from the left.Several of the transformation functions take an geometry parameter which requires a special syntax of the form AxB+C+D where each element is optional.
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