Examples ===================================== Some examples are already available into documentation. You can find here some others and results of use of IPFML package. All examples below will use this picture. .. image:: _static/nature.jpg Metrics example -------------------- Using **metrics** module you can convert image into Lab, XYZ, SVD... .. code:: python from PIL import Image from ipfml import metrics img_path = 'path/to/image_nature.jpg' img = Image.open(img_path) s = metrics.get_LAB_L(img) # convert result into PIL Image output = Image.fromarray(s) output.show() This is the generated output using only L chanel from Lab. .. image:: _static/nature_lab_l.png Processing example -------------------- .. code:: python from PIL import Image from ipfml import processing img_path = 'path/to/image_nature.jpg' img = Image.open(img_path) low_bits_img = processing.rgb_to_grey_low_bits(img, 6) output = Image.fromarray(low_bits_img) output.show() Now we have picture information with only the 6 low bits values. .. image:: _static/nature_low_bits_6.png Noise filter example --------------------- .. code:: python from PIL import Image from ipfml.filters import noise as nf img_path = 'path/to/image_nature.jpg' img = Image.open(img_path) # set noise impact to 30 noisy_image = nf.gaussian_noise(img, n=30) output = Image.fromarray(noisy_image) output.show() Image result after applying gaussian noise on nature image. .. image:: _static/nature_gaussian_noise.png