package bimage
A simple, efficient image-processing library
Install
Dune Dependency
Authors
Maintainers
Sources
bimage-v0.3.1.tbz
sha256=9490a99848142a921ecb5da5b91b53682e7b372119dcf0ccf868d82f893b15d1
sha512=4e1d2a039931e014f319f54e73ed0cc7c1f819a4490d95693ce0d8797bc22e81027985f6bbbda3c3c6619dfd8f4bc01fe48b20cda2482ad279c9143d09c2a8c7
doc/src/bimage/image.ml.html
Source file image.ml
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open Color type ('a, 'b, 'c) t = { width : int; height : int; color : 'c Color.t; ty : ('a, 'b) Type.t; data : ('a, 'b) Data.t; } type any = Any : ('a, 'b, 'c) t -> any let any x = Any x let v (type color) ty (module C : COLOR with type t = color) width height = let channels = C.channels C.t in let data = Data.v ty (width * height * channels) in { width; height; ty; color = (module C); data } let compare a b = Data.compare a.data b.data let equal a b = a.width = b.width && a.height = b.height && Color.name a.color = Color.name b.color && Data.equal a.data b.data let of_data (type color) (module C : COLOR with type t = color) width height data = let channels = C.channels C.t in let ty = Data.ty data in if width * height * channels <> Data.length data then Error.exc `Invalid_shape else { width; height; ty; color = (module C); data } let like image = v image.ty image.color image.width image.height let like_with_size image w h = v image.ty image.color w h let like_with_ty ty image = v ty image.color image.width image.height let like_with_color color image = v (Data.ty image.data) color image.width image.height let copy image = let data = Data.copy image.data in of_data image.color image.width image.height data let copy_to ~dest src = Data.copy_to ~dest:dest.data src.data let random (type color) ty (module C : COLOR with type t = color) width height = let channels = C.channels C.t in let data = Data.random ty (width * height * channels) in { width; height; ty; color = (module C); data } let channels (type c) { color; _ } = let (module C : COLOR with type t = c) = color in C.channels C.t let[@inline] ty { data; _ } = Data.ty data let color { color; _ } = color let shape (type c) { width; height; color; _ } = let (module C : COLOR with type t = c) = color in (width, height, C.channels C.t) let[@inline] length t = t.width * t.height * channels t let data { data; _ } = data let empty_pixel image = Pixel.empty image.color let empty_data image = Data.v (ty image) (channels image) let[@inline] index image x y c = let channels = channels image in (y * image.width * channels) + (channels * x) + c let[@inline] get image x y c = let index = index image x y c in if index < 0 || index >= length image then Type.min (ty image) else image.data.{index} let[@inline] set image x y c v = let index = index image x y c in image.data.{index} <- v let get_f image x y c = let ty = ty image in get image x y c |> Type.to_float ty |> Type.normalize ty let set_f image x y c v = let ty = ty image in let v = Type.denormalize ty v |> Type.of_float ty in set image x y c v let get_pixel image ?dest x y = let c = channels image in let px = match dest with Some px -> px | None -> Pixel.empty image.color in let index = index image x y 0 in let ty = ty image in try for i = 0 to c - 1 do Pixel.set px i (Type.to_float ty image.data.{index + i} |> Type.normalize ty) done; px with _ -> Pixel.fill px 0.0; px let set_pixel image x y px = let c = channels image in let index = index image x y 0 in let ty = ty image in try for i = 0 to c - 1 do image.data.{index + i} <- Type.denormalize ty (Pixel.get px i) |> Type.of_float ty done with _ -> () let get_data image ?dest x y = let index = index image x y 0 in let c = channels image in let data = Data.slice image.data ~offs:index ~length:c in match dest with | Some dest -> Data.copy_to ~dest data; dest | None -> data let set_data image x y px = let index = index image x y 0 in let c = channels image in let data = Data.slice image.data ~offs:index ~length:c in Data.copy_to ~dest:px data let map_inplace f img = let _ = Data.map_inplace f img.data in img let map2_inplace f a b = let _ = Data.map2_inplace f a.data b.data in a let map f img = let dest = copy img in map_inplace f dest let map2 f img b = let dest = copy img in map2_inplace f dest b let for_each_pixel f ?(x = 0) ?(y = 0) ?width ?height img = let width = match width with Some w -> min (img.width - x) w | None -> img.width - x in let height = match height with | Some h -> min (img.height - y) h | None -> img.height - y in let px = empty_pixel img in for j = y to y + height - 1 do for i = x to x + width - 1 do let px = get_pixel img ~dest:px i j in f i j px done done let for_each f ?(x = 0) ?(y = 0) ?width ?height img = let width = match width with Some w -> min (img.width - x) w | None -> img.width - x in let height = match height with | Some h -> min (img.height - y) h | None -> img.height - y in let px = empty_data img in for j = y to y + height - 1 do for i = x to x + width - 1 do let px = get_data img ~dest:px i j in f i j px done done let convert_to ~dest img = for_each_pixel (fun x y px -> let rgb = Pixel.to_rgb px in let color = Pixel.of_rgb dest.color rgb in set_pixel dest x y color) img let convert k (c : 'c Color.t) img = let dest = v k c img.width img.height in convert_to ~dest img; dest let avg ?(x = 0) ?(y = 0) ?width ?height img = let width = match width with None -> img.width - x | Some w -> min w (img.width - x) in let height = match height with None -> img.height - y | Some h -> min h (img.width - y) in let avg = Data.v Type.f64 (channels img) in let channels = channels img in let size = float_of_int (width * height) in let ty = ty img in for_each (fun _x _y px -> for i = 0 to channels - 1 do avg.{i} <- avg.{i} +. Type.to_float ty px.{i} done) ~x ~y ~width ~height img; for i = 0 to channels - 1 do avg.{i} <- avg.{i} /. size done; avg let crop im ~x ~y ~width ~height = let dest = v (ty im) im.color width height in for_each (fun i j _ -> for c = 0 to channels im - 1 do set dest i j c (get im (x + i) (y + j) c) done) dest; dest let mean_std ?(channel = 0) image = let ty = ty image in let x1 = ref 0. in let x2 = ref 0. in for_each (fun _x _y px -> let f = Type.to_float ty px.{channel} in x1 := !x1 +. f; x2 := !x2 +. (f *. f)) image; let len = length image |> float_of_int in let mean = !x1 /. len in let std = sqrt ((!x2 /. len) -. (mean *. mean)) in (mean, std) let fold f image init = let acc = ref init in for_each (fun x y px -> acc := f x y px !acc) image; !acc let fold2 f a b init = let acc = ref init in for_each (fun x y px -> let px' = get_data b x y in acc := f x y px px' !acc) a; !acc module Diff = struct type diff = (int * int * int, float) Hashtbl.t let apply diff image = Hashtbl.iter (fun (x, y, c) v -> let v' = get_f image x y c in set_f image x y c (v' +. v)) diff let length x = Hashtbl.length x end let diff a b = let dest = Hashtbl.create 8 in let ty = ty a in for_each (fun x y px -> let pxb = get_data b x y in for i = 0 to channels a do let a = Type.to_float ty px.{i} |> Type.normalize ty in let b = Type.to_float ty pxb.{i} |> Type.normalize ty in if a <> b then Hashtbl.replace dest (x, y, i) (a -. b) done) a; dest
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