The default value of 0.5 means that 50% of the required padding is placed above the image, and 50% is placed below the image. Similarly, the y value determines how the image will be placed vertically in cases where vertical padding is used. The padding ie equal on both sides so the image will be centred horizontally. For example the default value of 0.5 means that 50% of the required padding is placed on the left of the image, and 50% is placed to the right of the image. The x value determines how the image will be placed horizontally in cases where horizontal padding is used. It consists of a tuple of two values, (x, y). The centering parameter controls where the image is placed within the target rectangle.
IMAGE RESIZE PILLOW CODE
Here is the code to pad the image to 500 by 250: Notice pad never applies padding to both the width and height. If the original aspect ratio is equal to the target aspect ratio, the original is the same shape as the target, so it can be scaled to fit with no padding required.
If the original aspect ratio is greater than the target aspect ratio, the original is scaled to fit the target width, then padded to fit the target height.If the original aspect ratio is less than the target aspect ratio, the original is scaled to fit the target height, then padded to fit the target width.Next, the image is padded to 250 by 400 pixels by adding extra grey pixels to the top and bottom, so again the original image is centered in the new space.Īs you can see, mode of operation depends on the aspect ration (ie width/height) of the original image size compared to the target size:.It is exactly the right width, but not tall enough. The image is first scaled down by a factor of 5/6, so that the image is 250 by 167 pixels.In this second example, the same original image is padded to a size of 250 by 400 pixels: Next, the image is padded to 500 by 250 pixels by adding extra grey pixels to the left and right, so the original image is centered in the new space.It is exactly the right height, but not quite wide enough. The image is scaled up by 20%, so that the new image size is 375 by 250 pixels. The image is first scaled to the largest size that fits inside the required 500 by 250 space.Our original image is 300 by 200 pixels, and we want to pad it to make it 500 by 250 pixels: It will never do both, because the image will always be scaled so that it either fills the width or fills the height. add padding to the left and right of the image.add padding to the top and bottom of the image or.Depending on the image size and the target size it will either: Specifically, pad scales the image to be as big as it can be while still fitting in the target size. It does this by scaling the image so it fits the required size, and then adding padding to the image as necessary.
The 'pad' function allows you to change the shape of an image, without stretching or distorting the image. See the section on filters for more information. The resample parameter allows us to choose one of several other filters instead. By default, Pillow uses a bicubic filter, which usually does a pretty good job. We can apply a filter to reduce these effects. Whenever we scale, rotate or apply other transformations to a pixel image, problems such as jagged edges and other unwanted effect can occur. resample specifies the resampling method to be applied, see below.factor is the scaling factor to be applied.scale ( image, factor, resample = 3 ) # returns a new image
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