View Source Bumblebee.Vision.ConvNextFeaturizer (Bumblebee v0.5.3)
ConvNeXT featurizer for image data.
Configuration
:resize- whether to resize (and optionally center crop) the input to the given:size. Defaults totrue:size- the size to resize the input to. If 384 or larger, the image is resized to (:size,:size). Otherwise, the shorter edge of the image is matched to:size/:crop_percentage, then image is cropped to:size. Only has an effect if:resizeistrue. Defaults to224:resize_method- the resizing method, either of:nearest,:bilinear,:bicubic,:lanczos3,:lanczos5. Defaults to:bicubic:crop_percentage- the percentage of the image to crop. Only has an effect if:resizeistrueand:size< 384. Defaults to0.875:normalize- whether or not to normalize the input with mean and standard deviation. Defaults totrue:image_mean- the sequence of mean values for each channel, to be used when normalizing images. Defaults to[0.485, 0.456, 0.406]:image_std- the sequence of standard deviations for each channel, to be used when normalizing images. Defaults to[0.229, 0.224, 0.225]