Matches in Nanopublications for { ?s ?p "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " ?g. }
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- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.