Legend:
Page
Library
Module
Module type
Parameter
Class
Class type
Source
Page
Library
Module
Module type
Parameter
Class
Class type
Source
image.ml1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374open Type open Color type layout = | Planar | Interleaved type ('a, 'b, 'c) t = { width : int ; height : int ; color : 'c Color.t ; layout : layout ; data : ('a, 'b) Data.t } let create ?(layout = Interleaved) kind color width height = let channels = channels_of_color color in let data = Data.create kind (width * height * channels) in {width; height; color; layout; data} let compare a b = Data.compare a.data b.data let equal a b = Data.equal a.data b.data let of_data color width height layout data = let channels = channels_of_color color in if width * height * channels <> Data.length data then Error.exc `Invalid_shape else {width; height; color; layout; data} let like image = create ~layout:image.layout (Data.kind image.data) image.color image.width image.height let like_with_kind kind image = create ~layout:image.layout kind image.color image.width image.height let like_with_color color image = create ~layout:image.layout (Data.kind image.data) color image.width image.height let like_with_layout layout image = create ~layout (Data.kind image.data) image.color image.width image.height let copy image = let data = Data.copy image.data in of_data image.color image.width image.height image.layout data let copy_to ~dest src = Data.copy_to ~dest:dest.data src.data let random ?(layout = Interleaved) kind color width height = let channels = channels_of_color color in let data = Data.random kind (width * height * channels) in {width; height; color; layout; data} let channels {color; _} = channels_of_color color let[@inline] kind {data; _} = Data.kind data let color {color; _} = color let layout {layout; _} = layout let shape {width; height; color; _} = (width, height, channels_of_color color) let[@inline] length {width; height; color; _} = width * height * Color.channels color let data {data;_} = data let empty_pixel image = Pixel.empty (channels image) let empty_data image = Data.create (kind image) (channels image) let convert_to ~dest img = let dest_k = kind dest in let src_k = kind img in for i = 0 to length dest - 1 do Bigarray.Array1.set dest.data i (Kind.convert ~from:src_k dest_k (Bigarray.Array1.get img.data i)) done let convert k img = let dest = create ~layout:img.layout k img.color img.width img.height in convert_to ~dest img; dest let of_any_color im color : (('a, 'b, 'c) t, Error.t) result = if Color.channels color = Color.channels im.color then Ok (of_data color im.width im.height im.layout im.data) else Error `Invalid_color let[@inline] index image x y c = match image.layout with | Planar -> (image.width * image.height * c) + (y * image.width) + x | Interleaved -> (y * image.width * image.color.Color.channels) + (image.color.Color.channels * x) + c let index_at image offs = Data.slice image.data ~offs ~length:image.color.Color.channels let[@inline] get image x y c = let index = index image x y c in if index < 0 || index >= length image then Kind.min (kind image) else Bigarray.Array1.get image.data index let[@inline] set image x y c v = let index = index image x y c in Bigarray.Array1.set image.data index v let get_f image x y c = let kind = kind image in get image x y c |> Kind.to_float kind let set_f image x y c v = let kind = kind image in let v = Kind.of_float kind v in set image x y c v let get_n image x y c = let kind = kind image in get image x y c |> Kind.to_float kind |> Kind.normalize kind let set_n image x y c v = let kind = kind image in let v = Kind.denormalize kind v |> Kind.of_float kind in set image x y c v let get_pixel image ?dest x y = let c = channels image in let (Pixel.Pixel px) = match dest with | Some px -> px | None -> Pixel.empty c in for i = 0 to c - 1 do Bigarray.Array1.set px i (get_n image x y i) done; Pixel.Pixel px let set_pixel image x y (Pixel.Pixel px) = let c = channels image in for i = 0 to c - 1 do set_n image x y i (Bigarray.Array1.get px i) done let get_data image ?dest x y = let c = channels image in let px = match dest with | Some px -> px | None -> Data.create (kind image) c in for i = 0 to c - 1 do Bigarray.Array1.set px i (get image x y i) done; px let set_data image x y px = let c = channels image in for i = 0 to c - 1 do set image x y i (Bigarray.Array1.get px i) done let map_inplace f img = Data.map_inplace f img.data let map2_inplace f a b = Data.map2_inplace f a.data b.data let map f img = let dest = copy img in map_inplace f dest; dest let map2 f img b = let dest = copy img in map2_inplace f dest b; dest let[@inline] 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[@inline] 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 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.create f32 (channels img) in let channels = channels img in let size = float_of_int (width * height) in let kind = kind img in for_each (fun _x _y px -> for i = 0 to channels - 1 do Bigarray.Array1.set avg i ( Bigarray.Array1.get avg i +. Kind.to_float kind (Bigarray.Array1.get px i) ) done ) ~x ~y ~width ~height img; for i = 0 to channels - 1 do Bigarray.Array1.set avg i (Bigarray.Array1.get avg i /. size) done; avg let convert_layout layout im = let width, height, _ = shape im in let dest = create ~layout (kind im) (color im) width height in for_each (fun x y px -> for i = 0 to Data.length px - 1 do Bigarray.Array1.set dest.data (index dest x y i) (Bigarray.Array1.get px i) done ) im; dest let crop im ~x ~y ~width ~height = let dest = create ~layout:im.layout (kind im) im.color width height in for_each (fun i j _ -> for c = 0 to channels im - 1 do set dest x y c (get im (x + i) (y + j) c) done ) dest; dest let mean_std ?(channel = 0) image = let kind = kind image in let x1 = ref 0. in let x2 = ref 0. in for_each (fun _x _y px -> let f = Kind.to_float kind 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 = Data.fold f image.data init let fold2 f a b init = Data.fold2 f a.data b.data init let fold_data f image init = let acc = ref init in for_each (fun x y px -> acc := f x y px !acc ) image; !acc let fold_data2 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_n image x y c in set_n 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 kind = kind 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 = Kind.to_float kind px.{i} |> Kind.normalize kind in let b = Kind.to_float kind pxb.{i} |> Kind.normalize kind in if a <> b then Hashtbl.replace dest (x, y, i) (a -. b) done ) a; dest