Image Classification
unity-sentis
ONNX
Paul Bird commited on
Commit
c0392be
1 Parent(s): 104b87b

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ mobilenet_v2.sentis filter=lfs diff=lfs merge=lfs -text
Images/Bee.jpg ADDED
Images/Coffee mug.jpg ADDED
Images/Radiator.jpg ADDED
Images/Rottweiler.jpg ADDED
Images/Tailed frog.jpg ADDED
Images/decoded.png ADDED
RunMobileNet.cs ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ using System.Collections.Generic;
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+ using Unity.Sentis;
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+ using UnityEngine;
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+
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+ public class RunMobileNet : MonoBehaviour
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+ {
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+ const string modelName = "mobilenet_v2.sentis";
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+
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+ //The image to classify here:
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+ public Texture2D inputImage;
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+
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+ //Link class_desc.txt here:
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+ public TextAsset labelsAsset;
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+
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+ //All images are resized to these values:
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+ const int imageHeight = 224;
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+ const int imageWidth = 224;
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+
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+ const BackendType backend = BackendType.GPUCompute;
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+ private Model model;
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+ private IWorker engine;
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+ private string[] labels;
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+
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+ static Ops ops;
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+ ITensorAllocator allocator;
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+
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+ void Start()
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+ {
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+ //These are used for tensor operations
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+ allocator = new TensorCachingAllocator();
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+ ops = WorkerFactory.CreateOps(backend, allocator);
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+
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+ Application.targetFrameRate = 60;
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+ Screen.orientation = ScreenOrientation.LandscapeLeft;
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+
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+ //Parse neural net labels
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+ labels = labelsAsset.text.Split('\n');
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+
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+ //Load model
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+ model = ModelLoader.Load(Application.streamingAssetsPath + "/" + modelName);
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+
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+ //Setup the engine to run the model
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+ engine = WorkerFactory.CreateWorker(backend, model);
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+
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+ //Execute inference
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+ ExecuteML();
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+ }
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+
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+ public void ExecuteML()
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+ {
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+ //Preprocess image for input
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+ using var rawinput = TextureConverter.ToTensor(inputImage, 224, 224, 3);
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+ using var input = Normalise(rawinput);
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+
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+ //Execute neural net
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+ engine.Execute(input);
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+
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+ //Read output tensor
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+ var output = engine.PeekOutput() as TensorFloat;
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+ var argmax = ops.ArgMax(output, 1, false);
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+ argmax.MakeReadable();
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+
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+ //Select the best output class and print the results
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+ var res = argmax[0];
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+ var label = labels[res];
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+
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+ output.MakeReadable();
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+ var accuracy = output[res];
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+
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+ //The result is output to the console window
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+ int percent = Mathf.FloorToInt(accuracy * 100f + 0.5f);
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+ Debug.Log($"{label} {percent}﹪");
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+
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+ //Clean memory
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+ Resources.UnloadUnusedAssets();
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+ }
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+
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+ //This scales and shifts the RGB values for input into the model
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+ TensorFloat Normalise(TensorFloat image)
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+ {
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+ using var M = new TensorFloat(new TensorShape(1, 3, 1, 1), new float[]
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+ {
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+ 1/0.229f, 1/0.224f, 1/0.225f
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+ });
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+ using var P = new TensorFloat(new TensorShape(1, 3, 1, 1), new float[]
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+ {
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+ 0.485f, 0.456f, 0.406f
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+ });
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+ using var image2 = ops.Sub(image, P);
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+ return ops.Mul(image2, M);
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+ }
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+
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+ private void OnDestroy()
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+ {
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+ engine?.Dispose();
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+ ops?.Dispose();
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+ allocator?.Dispose();
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+ }
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+ }
class_desc.txt ADDED
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1
+ tench
2
+ goldfish
3
+ great white shark
4
+ tiger shark
5
+ hammerhead
6
+ electric ray
7
+ stingray
8
+ cock
9
+ Hen
10
+ ostrich
11
+ brambling
12
+ goldfinch
13
+ house finch
14
+ junco
15
+ indigo bunting
16
+ robin
17
+ bulbul
18
+ jay
19
+ magpie
20
+ chickadee
21
+ water ouzel
22
+ kite
23
+ bald eagle
24
+ vulture
25
+ great grey owl
26
+ European fire salamander
27
+ common newt
28
+ eft
29
+ spotted salamander
30
+ axolotl
31
+ bullfrog
32
+ tree frog
33
+ Tailed frog
34
+ loggerhead
35
+ leatherback turtle
36
+ mud turtle
37
+ terrapin
38
+ box turtle
39
+ banded gecko
40
+ common iguana
41
+ American chameleon
42
+ whiptail
43
+ agama
44
+ frilled lizard
45
+ alligator lizard
46
+ Gila monster
47
+ green lizard
48
+ African chameleon
49
+ Komodo dragon
50
+ African crocodile
51
+ American alligator
52
+ triceratops
53
+ thunder snake
54
+ ringneck snake
55
+ hognose snake
56
+ green snake
57
+ king snake
58
+ garter snake
59
+ water snake
60
+ vine snake
61
+ night snake
62
+ boa constrictor
63
+ rock python
64
+ Indian cobra
65
+ green mamba
66
+ sea snake
67
+ horned viper
68
+ diamondback
69
+ sidewinder
70
+ trilobite
71
+ harvestman
72
+ scorpion
73
+ black and gold garden spider
74
+ barn spider
75
+ garden spider
76
+ black widow
77
+ tarantula
78
+ wolf spider
79
+ tick
80
+ centipede
81
+ black grouse
82
+ ptarmigan
83
+ ruffed grouse
84
+ prairie chicken
85
+ peacock
86
+ quail
87
+ partridge
88
+ African grey
89
+ macaw
90
+ sulphur-crested cockatoo
91
+ lorikeet
92
+ coucal
93
+ bee eater
94
+ hornbill
95
+ hummingbird
96
+ jacamar
97
+ toucan
98
+ drake
99
+ red-breasted merganser
100
+ Goose
101
+ black swan
102
+ tusker
103
+ echidna
104
+ platypus
105
+ wallaby
106
+ koala
107
+ wombat
108
+ jellyfish
109
+ sea anemone
110
+ brain coral
111
+ flatworm
112
+ nematode
113
+ conch
114
+ snail
115
+ slug
116
+ sea slug
117
+ chiton
118
+ chambered nautilus
119
+ Dungeness crab
120
+ rock crab
121
+ fiddler crab
122
+ king crab
123
+ American lobster
124
+ spiny lobster
125
+ crayfish
126
+ hermit crab
127
+ isopod
128
+ white stork
129
+ black stork
130
+ spoonbill
131
+ flamingo
132
+ little blue heron
133
+ American egret
134
+ bittern
135
+ crane
136
+ limpkin
137
+ European gallinule
138
+ American coot
139
+ bustard
140
+ ruddy turnstone
141
+ red-backed sandpiper
142
+ redshank
143
+ dowitcher
144
+ oystercatcher
145
+ pelican
146
+ king penguin
147
+ albatross
148
+ grey whale
149
+ killer whale
150
+ dugong
151
+ sea lion
152
+ Chihuahua
153
+ Japanese spaniel
154
+ Maltese dog
155
+ Pekinese
156
+ Shih-Tzu
157
+ Blenheim spaniel
158
+ papillon
159
+ toy terrier
160
+ Rhodesian ridgeback
161
+ Afghan hound
162
+ basset
163
+ beagle
164
+ bloodhound
165
+ bluetick
166
+ black-and-tan coonhound
167
+ Walker hound
168
+ English foxhound
169
+ redbone
170
+ borzoi
171
+ Irish wolfhound
172
+ Italian greyhound
173
+ whippet
174
+ Ibizan hound
175
+ Norwegian elkhound
176
+ otterhound
177
+ Saluki
178
+ Scottish deerhound
179
+ Weimaraner
180
+ Staffordshire bullterrier
181
+ American Staffordshire terrier
182
+ Bedlington terrier
183
+ Border terrier
184
+ Kerry blue terrier
185
+ Irish terrier
186
+ Norfolk terrier
187
+ Norwich terrier
188
+ Yorkshire terrier
189
+ wire-haired fox terrier
190
+ Lakeland terrier
191
+ Sealyham terrier
192
+ Airedale
193
+ cairn
194
+ Australian terrier
195
+ Dandie Dinmont
196
+ Boston bull
197
+ miniature schnauzer
198
+ giant schnauzer
199
+ standard schnauzer
200
+ Scotch terrier
201
+ Tibetan terrier
202
+ silky terrier
203
+ soft-coated wheaten terrier
204
+ West Highland white terrier
205
+ Lhasa
206
+ flat-coated retriever
207
+ curly-coated retriever
208
+ golden retriever
209
+ Labrador retriever
210
+ Chesapeake Bay retriever
211
+ German short-haired pointer
212
+ vizsla
213
+ English setter
214
+ Irish setter
215
+ Gordon setter
216
+ Brittany spaniel
217
+ clumber
218
+ English springer
219
+ Welsh springer spaniel
220
+ cocker spaniel
221
+ Sussex spaniel
222
+ Irish water spaniel
223
+ kuvasz
224
+ schipperke
225
+ groenendael
226
+ malinois
227
+ briard
228
+ kelpie
229
+ komondor
230
+ Old English sheepdog
231
+ Shetland sheepdog
232
+ collie
233
+ Border collie
234
+ Bouvier des Flandres
235
+ Rottweiler
236
+ German shepherd
237
+ Doberman
238
+ miniature pinscher
239
+ Greater Swiss Mountain dog
240
+ Bernese mountain dog
241
+ Appenzeller
242
+ EntleBucher
243
+ boxer
244
+ bull mastiff
245
+ Tibetan mastiff
246
+ French bulldog
247
+ Great Dane
248
+ Saint Bernard
249
+ Eskimo dog
250
+ malamute
251
+ Siberian husky
252
+ dalmatian
253
+ affenpinscher
254
+ basenji
255
+ pug
256
+ Leonberg
257
+ Newfoundland
258
+ Great Pyrenees
259
+ Samoyed
260
+ Pomeranian
261
+ chow
262
+ keeshond
263
+ Brabancon griffon
264
+ Pembroke
265
+ Cardigan
266
+ toy poodle
267
+ miniature poodle
268
+ standard poodle
269
+ Mexican hairless
270
+ timber wolf
271
+ white wolf
272
+ red wolf
273
+ coyote
274
+ dingo
275
+ dhole
276
+ African hunting dog
277
+ hyena
278
+ red fox
279
+ kit fox
280
+ Arctic fox
281
+ grey fox
282
+ Tabby
283
+ tiger cat
284
+ Persian cat
285
+ Siamese cat
286
+ Egyptian cat
287
+ cougar
288
+ lynx
289
+ leopard
290
+ snow leopard
291
+ jaguar
292
+ lion
293
+ tiger
294
+ cheetah
295
+ brown bear
296
+ American black bear
297
+ ice bear
298
+ sloth bear
299
+ mongoose
300
+ meerkat
301
+ tiger beetle
302
+ ladybug
303
+ ground beetle
304
+ long-horned beetle
305
+ leaf beetle
306
+ dung beetle
307
+ rhinoceros beetle
308
+ weevil
309
+ fly
310
+ Bee
311
+ ant
312
+ grasshopper
313
+ cricket
314
+ walking stick
315
+ cockroach
316
+ mantis
317
+ cicada
318
+ leafhopper
319
+ lacewing
320
+ dragonfly
321
+ damselfly
322
+ admiral
323
+ ringlet
324
+ monarch
325
+ cabbage butterfly
326
+ sulphur butterfly
327
+ lycaenid
328
+ starfish
329
+ sea urchin
330
+ sea cucumber
331
+ wood rabbit
332
+ hare
333
+ Angora
334
+ Hamster
335
+ porcupine
336
+ fox squirrel
337
+ marmot
338
+ beaver
339
+ guinea pig
340
+ sorrel
341
+ zebra
342
+ hog
343
+ wild boar
344
+ warthog
345
+ hippopotamus
346
+ ox
347
+ water buffalo
348
+ bison
349
+ ram
350
+ bighorn
351
+ ibex
352
+ hartebeest
353
+ impala
354
+ gazelle
355
+ Arabian camel
356
+ llama
357
+ weasel
358
+ mink
359
+ polecat
360
+ black-footed ferret
361
+ otter
362
+ skunk
363
+ badger
364
+ armadillo
365
+ three-toed sloth
366
+ orangutan
367
+ gorilla
368
+ chimpanzee
369
+ gibbon
370
+ siamang
371
+ guenon
372
+ patas
373
+ baboon
374
+ macaque
375
+ langur
376
+ colobus
377
+ proboscis monkey
378
+ marmoset
379
+ capuchin
380
+ howler monkey
381
+ titi
382
+ spider monkey
383
+ squirrel monkey
384
+ Madagascar cat
385
+ indri
386
+ Indian elephant
387
+ African elephant
388
+ lesser panda
389
+ giant panda
390
+ barracouta
391
+ eel
392
+ coho
393
+ rock beauty
394
+ anemone fish
395
+ sturgeon
396
+ gar
397
+ lionfish
398
+ puffer
399
+ abacus
400
+ abaya
401
+ academic gown
402
+ accordion
403
+ acoustic guitar
404
+ aircraft carrier
405
+ airliner
406
+ airship
407
+ altar
408
+ ambulance
409
+ amphibian
410
+ analog clock
411
+ apiary
412
+ apron
413
+ ashcan
414
+ assault rifle
415
+ backpack
416
+ bakery
417
+ balance beam
418
+ balloon
419
+ ballpoint
420
+ Band Aid
421
+ banjo
422
+ bannister
423
+ barbell
424
+ barber chair
425
+ barbershop
426
+ barn
427
+ barometer
428
+ barrel
429
+ barrow
430
+ baseball
431
+ basketball
432
+ bassinet
433
+ bassoon
434
+ bathing cap
435
+ bath towel
436
+ bathtub
437
+ beach wagon
438
+ beacon
439
+ beaker
440
+ bearskin
441
+ beer bottle
442
+ beer glass
443
+ bell cote
444
+ bib
445
+ bicycle-built-for-two
446
+ bikini
447
+ binder
448
+ binoculars
449
+ birdhouse
450
+ boathouse
451
+ bobsled
452
+ bolo tie
453
+ bonnet
454
+ bookcase
455
+ bookshop
456
+ bottlecap
457
+ bow
458
+ bow tie
459
+ brass
460
+ brassiere
461
+ breakwater
462
+ breastplate
463
+ broom
464
+ bucket
465
+ buckle
466
+ bulletproof vest
467
+ bullet train
468
+ butcher shop
469
+ cab
470
+ caldron
471
+ candle
472
+ cannon
473
+ canoe
474
+ can opener
475
+ cardigan
476
+ car mirror
477
+ carousel
478
+ carpenter's kit
479
+ carton
480
+ car wheel
481
+ cash machine
482
+ cassette
483
+ cassette player
484
+ castle
485
+ catamaran
486
+ CD player
487
+ cello
488
+ cellular telephone
489
+ chain
490
+ chainlink fence
491
+ chain mail
492
+ chain saw
493
+ chest
494
+ chiffonier
495
+ chime
496
+ china cabinet
497
+ Christmas stocking
498
+ church
499
+ cinema
500
+ cleaver
501
+ cliff dwelling
502
+ cloak
503
+ clog
504
+ cocktail shaker
505
+ Coffee mug
506
+ coffeepot
507
+ coil
508
+ combination lock
509
+ computer keyboard
510
+ confectionery
511
+ container ship
512
+ convertible
513
+ corkscrew
514
+ cornet
515
+ cowboy boot
516
+ cowboy hat
517
+ cradle
518
+ crane
519
+ crash helmet
520
+ crate
521
+ crib
522
+ Crock Pot
523
+ croquet ball
524
+ crutch
525
+ cuirass
526
+ dam
527
+ desk
528
+ desktop computer
529
+ dial telephone
530
+ diaper
531
+ digital clock
532
+ digital watch
533
+ dining table
534
+ dishrag
535
+ dishwasher
536
+ disk brake
537
+ dock
538
+ dogsled
539
+ dome
540
+ doormat
541
+ drilling platform
542
+ drum
543
+ drumstick
544
+ dumbbell
545
+ Dutch oven
546
+ electric fan
547
+ electric guitar
548
+ electric locomotive
549
+ entertainment center
550
+ envelope
551
+ espresso maker
552
+ face powder
553
+ feather boa
554
+ file
555
+ fireboat
556
+ fire engine
557
+ fire screen
558
+ flagpole
559
+ flute
560
+ folding chair
561
+ football helmet
562
+ forklift
563
+ fountain
564
+ fountain pen
565
+ four-poster
566
+ freight car
567
+ French horn
568
+ frying pan
569
+ fur coat
570
+ garbage truck
571
+ gasmask
572
+ gas pump
573
+ goblet
574
+ go-kart
575
+ golf ball
576
+ golfcart
577
+ gondola
578
+ gong
579
+ gown
580
+ grand piano
581
+ greenhouse
582
+ grille
583
+ grocery store
584
+ guillotine
585
+ hair slide
586
+ hair spray
587
+ half track
588
+ hammer
589
+ hamper
590
+ hand blower
591
+ hand-held computer
592
+ handkerchief
593
+ hard disc
594
+ harmonica
595
+ harp
596
+ harvester
597
+ hatchet
598
+ holster
599
+ home theater
600
+ honeycomb
601
+ hook
602
+ hoopskirt
603
+ horizontal bar
604
+ horse cart
605
+ hourglass
606
+ iPod
607
+ iron
608
+ jack-o'-lantern
609
+ jean
610
+ jeep
611
+ jersey
612
+ jigsaw puzzle
613
+ jinrikisha
614
+ joystick
615
+ kimono
616
+ knee pad
617
+ knot
618
+ lab coat
619
+ ladle
620
+ lampshade
621
+ laptop
622
+ lawn mower
623
+ lens cap
624
+ letter opener
625
+ library
626
+ lifeboat
627
+ lighter
628
+ limousine
629
+ liner
630
+ lipstick
631
+ Loafer
632
+ lotion
633
+ loudspeaker
634
+ loupe
635
+ lumbermill
636
+ magnetic compass
637
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