package thumb import "github.com/disintegration/imaging" var ( Size = 2048 SizeUncached = 7680 Filter = ResampleLanczos JpegQuality = 95 JpegQualitySmall = 80 ) func MaxSize() int { if Size > SizeUncached { return Size } return SizeUncached } func InvalidSize(size int) bool { return size < 0 || size > MaxSize() } const ( ResampleBlackman ResampleFilter = "blackman" ResampleLanczos ResampleFilter = "lanczos" ResampleCubic ResampleFilter = "cubic" ResampleLinear ResampleFilter = "linear" ) type ResampleFilter string func (a ResampleFilter) Imaging() imaging.ResampleFilter { switch a { case ResampleBlackman: return imaging.Blackman case ResampleLanczos: return imaging.Lanczos case ResampleCubic: return imaging.CatmullRom case ResampleLinear: return imaging.Linear default: return imaging.Lanczos } } const ( ResampleFillCenter ResampleOption = iota ResampleFillTopLeft ResampleFillBottomRight ResampleFit ResampleCrop ResampleResize ResampleNearestNeighbor ResampleDefault ResamplePng ) type ResampleOption int var ResampleMethods = map[ResampleOption]string{ ResampleFillCenter: "center", ResampleFillTopLeft: "left", ResampleFillBottomRight: "right", ResampleFit: "fit", ResampleCrop: "crop", ResampleResize: "resize", } type Type struct { Use string `json:"use"` Source string `json:"-"` Width int `json:"w"` Height int `json:"h"` Public bool `json:"-"` Options []ResampleOption `json:"-"` } type TypeMap map[string]Type var Types = TypeMap{ "tile_50": {"Lists", "tile_500", 50, 50, false, []ResampleOption{ResampleFillCenter, ResampleDefault}}, "tile_100": {"Maps", "tile_500", 100, 100, false, []ResampleOption{ResampleFillCenter, ResampleDefault}}, "crop_160": {"FaceNet", "", 160, 160, false, []ResampleOption{ResampleCrop, ResampleDefault}}, "tile_224": {"TensorFlow, Mosaic", "tile_500", 224, 224, false, []ResampleOption{ResampleFillCenter, ResampleDefault}}, "tile_500": {"Tiles", "", 500, 500, false, []ResampleOption{ResampleFillCenter, ResampleDefault}}, "colors": {"Color Detection", "fit_720", 3, 3, false, []ResampleOption{ResampleResize, ResampleNearestNeighbor, ResamplePng}}, "left_224": {"TensorFlow", "fit_720", 224, 224, false, []ResampleOption{ResampleFillTopLeft, ResampleDefault}}, "right_224": {"TensorFlow", "fit_720", 224, 224, false, []ResampleOption{ResampleFillBottomRight, ResampleDefault}}, "fit_720": {"Mobile, TV", "", 720, 720, true, []ResampleOption{ResampleFit, ResampleDefault}}, "fit_1280": {"Mobile, HD Ready TV", "fit_2048", 1280, 1024, true, []ResampleOption{ResampleFit, ResampleDefault}}, "fit_1920": {"Mobile, Full HD TV", "fit_2048", 1920, 1200, true, []ResampleOption{ResampleFit, ResampleDefault}}, "fit_2048": {"Tablets, Cinema 2K", "", 2048, 2048, true, []ResampleOption{ResampleFit, ResampleDefault}}, "fit_2560": {"Quad HD, Retina Display", "", 2560, 1600, true, []ResampleOption{ResampleFit, ResampleDefault}}, "fit_3840": {"Ultra HD", "", 3840, 2400, false, []ResampleOption{ResampleFit, ResampleDefault}}, // Deprecated in favor of fit_4096 "fit_4096": {"Ultra HD, Retina 4K", "", 4096, 4096, true, []ResampleOption{ResampleFit, ResampleDefault}}, "fit_7680": {"8K Ultra HD 2, Retina 6K", "", 7680, 4320, true, []ResampleOption{ResampleFit, ResampleDefault}}, } var DefaultTypes = []string{ "fit_7680", "fit_4096", "fit_2560", "fit_2048", "fit_1920", "fit_1280", "fit_720", "right_224", "left_224", "colors", "tile_500", "tile_224", "tile_100", "tile_50", } // Find returns the largest default thumbnail type for the given size limit. func Find(limit int) (name string, result Type) { for _, name = range DefaultTypes { t := Types[name] if t.Width <= limit && t.Height <= limit { return name, t } } return "", Type{} } // ExceedsSize tests if thumbnail type exceeds the cached thumbnails size. func (t Type) ExceedsSize() bool { return t.Width > Size || t.Height > Size } // ExceedsSizeUncached tests if thumbnail type is too large and can not be rendered at all. func (t Type) ExceedsSizeUncached() bool { return t.Width > MaxSize() || t.Height > MaxSize() } // OnDemand tests if thumbnail type should not be pre-rendered. func (t Type) OnDemand() bool { return t.Width > Size || t.Height > Size }