├── mobilenet_quant_v1_224.tflite
├── README.md
├── Makefile
├── main.cxx
└── labels.txt


/mobilenet_quant_v1_224.tflite:
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https://raw.githubusercontent.com/mattn/webcam-detect-tflite/HEAD/mobilenet_quant_v1_224.tflite


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/README.md:
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 1 | # webcam-detect-tflite
 2 | 
 3 | Example App detecting objects from video capture using TensorFlow Lite.
 4 | 
 5 | ## Usage
 6 | 
 7 | ```
 8 | $ ./webcam-detector
 9 | ```
10 | 
11 | ## Requirements
12 | 
13 | * OpenCV
14 | * TensorFlow Lite
15 | 
16 | ## Installation
17 | 
18 | After modifying Makefile
19 | 
20 | ```
21 | $ make
22 | ```
23 | 
24 | ## License
25 | 
26 | MIT
27 | 
28 | labels.txt and mobilenet_quant_v1_224.tflite are provided from mobilenet_v1_1.0_224_quant.tgz
29 | 
30 | ## Author
31 | 
32 | Yasuhiro Matsumoto (a.k.a. mattn)
33 | 


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/Makefile:
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 1 | TENSORFLOW_ROOT=/home/mattn/dev/tensorflow/tensorflow
 2 | 
 3 | # The path to the location which you built tensorflow-lite with cmake.
 4 | TENSORFLOW_CBUILD=$(TENSORFLOW_ROOT)/lite/cbuild
 5 | CXXFLAGS ?= -g -I $(TENSORFLOW_ROOT) \
 6 | 	-I $(TENSORFLOW_CBUILD)/flatbuffers/include \
 7 | 	-I $(TENSORFLOW_CBUILD)/xnnpack/include \
 8 | 	-I $(TENSORFLOW_CBUILD)/cpuinfo/include \
 9 | 	-I $(TENSORFLOW_CBUILD)/pthreadpool-source/include \
10 | 	`pkg-config --cflags opencv4 freetype2`
11 | LDFLAGS ?= -L $(TENSORFLOW_CBUILD) \
12 | 	-L $(TENSORFLOW_CBUILD)/_deps/flatbuffers-build \
13 | 	-L $(TENSORFLOW_CBUILD)/_deps/xnnpack-build \
14 | 	-L $(TENSORFLOW_CBUILD)/_deps/fft2d-build \
15 | 	-L $(TENSORFLOW_CBUILD)/_deps/cpuinfo-build \
16 | 	-L $(TENSORFLOW_CBUILD)/pthreadpool \
17 |     -ltensorflow-lite -lXNNPACK -lpthreadpool -lflatbuffers -lfft2d_fftsg2d -lcpuinfo -lstdc++ -ltensorflowlite_c \
18 | 	`pkg-config --libs opencv4 freetype2` -lpthread -ldl -lm -lfreetype
19 | 
20 | .PHONY: all clean
21 | 
22 | all: webcam-detector
23 | 
24 | webcam-detector: main.o
25 | 	gcc -O3 -o webcam-detector main.o $(LDFLAGS)
26 | 
27 | main.o : main.cxx
28 | 	g++ -c --std=c++14 main.cxx -O3 $(CXXFLAGS)
29 | 
30 | clean:
31 | 	rm -f webcam-detector *.o
32 | 


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/main.cxx:
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  1 | //#include <cstdint>
  2 | #include <vector>
  3 | #include <chrono>
  4 | #include <iostream>
  5 | #include <iostream>
  6 | #include <fstream>
  7 | #include <ctime>
  8 | #include <memory>
  9 | #include <utility>
 10 | #include <type_traits>
 11 | #include <opencv2/opencv.hpp>
 12 | 
 13 | #include <tensorflow/lite/model.h>
 14 | #include <tensorflow/lite/interpreter.h>
 15 | #include <tensorflow/lite/kernels/register.h>
 16 | #include <tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h>
 17 | 
 18 | #include <ft2build.h>
 19 | #include <freetype/freetype.h>
 20 | #include <freetype/ftoutln.h>
 21 | 
 22 | class ft_renderer {
 23 | private:
 24 |   FT_Library lib_;
 25 |   FT_Face    face_;
 26 | 
 27 |   void stoc(int &c, int &i, const std::string &text) {
 28 |     unsigned char t1 = (unsigned char) text[i];
 29 |     if (t1 >= 0xF0) {
 30 |       c  = (((unsigned char)text[i] << 18) & 0x70000) |
 31 |         (((unsigned char)text[i+1] << 12) & 0xF000) |
 32 |         (((unsigned char)text[i+2] << 6) & 0x0FC0) |
 33 |         (((unsigned char)text[i+3] << 0) & 0x003F) ;
 34 |       i += 4;
 35 |     } else if (t1 >= 0xE0) {
 36 |       c  = (((unsigned char)text[i] << 12) & 0xF000) |
 37 |         (((unsigned char)text[i+1] << 6) & 0x0FC0) |
 38 |         (((unsigned char)text[i+2] << 0) & 0x003F) ;
 39 |       i += 3;
 40 |     } else if (t1 >= 0xC2) {
 41 |       c  = (((unsigned char)text[i] << 6) & 0x0FC0) |
 42 |         (((unsigned char)text[i+1] << 0) & 0x003F) ;
 43 |       i += 2;
 44 |     } else if (t1 > 0) {
 45 |       c  = text[i];
 46 |       i += 1;
 47 |     } else {
 48 |       c = '?';
 49 |       i += 1;
 50 |     }
 51 |   }
 52 | 
 53 | public:
 54 |   ft_renderer(std::vector<uint8_t>& fontdata) {
 55 |     FT_Init_FreeType(&lib_);
 56 |     FT_New_Memory_Face(lib_, 
 57 |         fontdata.data(), 
 58 |         fontdata.size(), 0, &face_); 
 59 |   }
 60 |   ~ft_renderer() {
 61 |     FT_Done_FreeType(lib_);
 62 |   }
 63 | 
 64 | public:
 65 |   void putText(cv::InputOutputArray _img, const std::string& text, cv::Point pos,
 66 |     double fontScale, cv::Scalar color, bool bottomLeftOrigin) {
 67 | 
 68 |     if (text.empty())
 69 |       return;
 70 | 
 71 |     FT_Set_Pixel_Sizes(face_, fontScale, fontScale);
 72 | 
 73 |     cv::Mat img = _img.getMat();
 74 | 
 75 |     for (int i = 0; text[i] != 0;) {
 76 |       int c;
 77 | 
 78 |       stoc(c, i, text);
 79 |       FT_Load_Char(face_, (FT_Long)c, 0); 
 80 |       FT_Render_Glyph(face_->glyph, FT_RENDER_MODE_MONO);
 81 |       FT_Bitmap *bmp = &(face_->glyph->bitmap);
 82 | 
 83 |       cv::Point loc = pos;
 84 |       loc.y = loc.y - (face_->glyph->metrics.horiBearingY >> 6) ;
 85 |       loc.x = loc.x + (face_->glyph->metrics.horiBearingX >> 6) ;
 86 |       int row, col, bit, cl;
 87 | 
 88 |       for (row = 0; row < bmp->rows; ++row) {
 89 |         if (loc.y + row > img.rows)
 90 |           continue;
 91 |         cv::Vec3b* ptr = img.ptr<cv::Vec3b>(loc.y + row);
 92 |         for (col = 0; col < bmp->pitch; ++col) {
 93 |           cl = bmp->buffer[ row * bmp->pitch + col];
 94 |           for (bit = 7; bit >= 0; --bit) {
 95 |             if (loc.x + col * 8 + (7 - bit) > img.cols)
 96 |               continue;
 97 |             if (((cl >> bit) & 0x01) == 1) {
 98 |               ptr[loc.x + col * 8 + (7 - bit)][0] = color[0];
 99 |               ptr[loc.x + col * 8 + (7 - bit)][1] = color[1];
100 |               ptr[loc.x + col * 8 + (7 - bit)][2] = color[2];
101 |             }
102 |           }
103 |         }
104 |       }
105 |       pos.x += (face_->glyph->advance.x) >> 6;
106 |       pos.y += (face_->glyph->advance.y) >> 6;
107 |     }
108 |   }
109 | };
110 | 
111 | template<typename T>
112 | void
113 | fill(T *in, cv::Mat& src) {
114 |   int n = 0, nc = src.channels(), ne = src.elemSize();
115 |   for (int y = 0; y < src.rows; ++y)
116 |     for (int x = 0; x < src.cols; ++x)
117 |       for (int c = 0; c < nc; ++c)
118 |         in[n++] = src.data[y * src.step + x * ne + c];
119 | }
120 | 
121 | int
122 | main(int argc, char const * argv[]) {
123 |   std::string modelfile = "mobilenet_quant_v1_224.tflite";
124 |   std::string labelfile = "labels.txt";
125 | 
126 |   if (argc == 3) {
127 |     modelfile = argv[1];
128 |     labelfile = argv[2];
129 |   } else if (argc != 1) {
130 |     std::cerr << "Usage of " << argv[0] << " [modelfile] [labelfile]" << std::endl;
131 |     return -1;
132 |   }
133 |   TfLiteStatus status;
134 |   std::unique_ptr<tflite::FlatBufferModel> model;
135 |   std::unique_ptr<tflite::Interpreter> interpreter;
136 |   std::cout << "Loading model: " << modelfile << std::endl;
137 |   model = tflite::FlatBufferModel::BuildFromFile(modelfile.c_str());
138 |   if (!model) {
139 |     std::cerr << "Failed to load the model." << std::endl;
140 |     return -1;
141 |   }
142 |   tflite::ops::builtin::BuiltinOpResolver resolver;
143 |   tflite::InterpreterBuilder(*model, resolver)(&interpreter);
144 | 
145 |   const TfLiteXNNPackDelegateOptions kDefaultOptions = {
146 |     .num_threads = 4,
147 |   };
148 |   auto* delegate = TfLiteXNNPackDelegateCreate(&kDefaultOptions);
149 |   if (interpreter->ModifyGraphWithDelegate(delegate) != kTfLiteOk) {
150 |     return -1;
151 |   }
152 | 
153 |   status = interpreter->AllocateTensors();
154 | 
155 |   if (status != kTfLiteOk) {
156 |     std::cerr << "Failed to allocate the memory for tensors." << std::endl;
157 |     return -1;
158 |   }
159 | 
160 |   cv::VideoCapture cap(0);
161 |   if (!cap.isOpened()) {
162 |     std::cerr << "Failed to open VideoCapture." << std::endl;
163 |     return -1;
164 |   }
165 | 
166 |   std::cout << "Loading labels: " << labelfile << std::endl;
167 |   std::ifstream file(labelfile);
168 |   if (!file) {
169 |     std::cerr << "Failed to read " << labelfile << "." << std::endl;
170 |     return -1;
171 |   }
172 |   std::vector<std::string> labels;
173 |   std::string line;
174 |   while (std::getline(file, line))
175 |     labels.push_back(line);
176 |   while (labels.size() % 16)
177 |     labels.emplace_back();
178 | 
179 |   cv::Scalar white(255, 255, 255);
180 |   int input = interpreter->inputs()[0];
181 | 
182 |   TfLiteIntArray* dims = interpreter->tensor(input)->dims;
183 |   int wanted_height = dims->data[1];
184 |   int wanted_width = dims->data[2];
185 |   int wanted_channels = dims->data[3];
186 |   int wanted_type = interpreter->tensor(input)->type;
187 | 
188 |   uint8_t *in8 = nullptr;
189 |   float *in16 = nullptr;
190 | 
191 |   if (wanted_type == kTfLiteFloat32) {
192 |     in16 = interpreter->typed_tensor<float>(input);
193 |   } else if (wanted_type == kTfLiteUInt8) {
194 |     in8 = interpreter->typed_tensor<uint8_t>(input);
195 |   }
196 | 
197 |   interpreter->SetNumThreads(4);
198 | 
199 |   std::ifstream fontfile("mplus-1c-thin.ttf", std::ios::in | std::ios::binary);
200 |   if (!fontfile) {
201 |     std::cerr << "Failed to read font file" << std::endl;
202 |     return -1;
203 |   }
204 |   std::vector<uint8_t> fontdata(
205 |       (std::istreambuf_iterator<char>(fontfile)),
206 |       std::istreambuf_iterator<char>());
207 |   ft_renderer ftw(fontdata);
208 | 
209 |   int frames = 0;
210 |   clock_t prev = clock();
211 |   std::string fpss;
212 |   while (true) {
213 |     cv::Mat frame;
214 |     cap >> frame;
215 |     int key = cv::waitKey(1);
216 |     if (key == 27)
217 |       break;
218 |     cv::Mat resized(wanted_height, wanted_width, frame.type());
219 |     cv::resize(frame, resized, resized.size(), cv::INTER_CUBIC);
220 | 
221 |     int n = 0;
222 | 
223 |     if (wanted_type == kTfLiteFloat32) {
224 |       fill(in16, resized);
225 |     } else if (wanted_type == kTfLiteUInt8) {
226 |       fill(in8, resized);
227 |     }
228 | 
229 |     status = interpreter->Invoke();
230 |     if (status != kTfLiteOk) {
231 |       cv::imshow("window", frame);
232 |       continue;
233 |     }
234 | 
235 |     int output = interpreter->outputs()[0];
236 |     TfLiteIntArray* output_dims = interpreter->tensor(output)->dims;
237 |     auto output_size = output_dims->data[output_dims->size - 1];
238 |     int output_type = interpreter->tensor(output)->type;
239 | 
240 |     std::vector<std::pair<float, int>> results;
241 | 
242 |     if (wanted_type == kTfLiteFloat32) {
243 |       float *scores = interpreter->typed_output_tensor<float>(0);
244 |       for (int i = 0; i < output_size; ++i) {
245 |         float value = (scores[i] - 127) / 127.0;
246 |         if (value < 0.1)
247 |           continue;
248 |         results.push_back(std::pair<float, int>(value, i));
249 |       }
250 |     } else if (wanted_type == kTfLiteUInt8) {
251 |       uint8_t *scores = interpreter->typed_output_tensor<uint8_t>(0);
252 |       for (int i = 0; i < output_size; ++i) {
253 |         float value = (float)scores[i] / 255.0;
254 |         if (value < 0.2)
255 |           continue;
256 |         results.push_back(std::pair<float, int>(value, i));
257 |       }
258 |     }
259 |     std::sort(results.begin(), results.end(),
260 |       [](std::pair<float, int>& x, std::pair<float, int>& y) -> int {
261 |         return x.first > y.first;
262 |       }
263 |     );
264 | 
265 |     n = 0;
266 |     for (const auto& result : results) {
267 |       std::stringstream ss;
268 |       ss << result.first << ": " << labels[result.second];
269 |       ftw.putText(frame, ss.str(),  cv::Point(50, 50 + 50 * n), 16,
270 |           cv::Scalar(255,255,255), false);
271 |       if (++n >= 3)
272 |         break;
273 |     }
274 | 
275 |     clock_t now = clock();
276 |     if (((now - prev) / CLOCKS_PER_SEC / 1) > 0) {
277 |       std::stringstream ss;
278 |       ss << frames << "fps";
279 |       fpss = ss.str();
280 |       std::cout << fpss << std::endl;
281 |       frames = 1;
282 |       prev = now;
283 |     }
284 |     ftw.putText(frame, fpss,  cv::Point(50, 20), 16,
285 |         cv::Scalar(255,255,255), false);
286 |     frames++;
287 | 
288 |     cv::imshow("window", frame);
289 |   }
290 |   cv::destroyAllWindows();
291 |   return 0;
292 | }
293 | 
294 | // vim:set cino=>2 et:
295 | 


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/labels.txt:
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   1 | background
   2 | tench
   3 | goldfish
   4 | great white shark
   5 | tiger shark
   6 | hammerhead
   7 | electric ray
   8 | stingray
   9 | cock
  10 | hen
  11 | ostrich
  12 | brambling
  13 | goldfinch
  14 | house finch
  15 | junco
  16 | indigo bunting
  17 | robin
  18 | bulbul
  19 | jay
  20 | magpie
  21 | chickadee
  22 | water ouzel
  23 | kite
  24 | bald eagle
  25 | vulture
  26 | great grey owl
  27 | European fire salamander
  28 | common newt
  29 | eft
  30 | spotted salamander
  31 | axolotl
  32 | bullfrog
  33 | tree frog
  34 | tailed frog
  35 | loggerhead
  36 | leatherback turtle
  37 | mud turtle
  38 | terrapin
  39 | box turtle
  40 | banded gecko
  41 | common iguana
  42 | American chameleon
  43 | whiptail
  44 | agama
  45 | frilled lizard
  46 | alligator lizard
  47 | Gila monster
  48 | green lizard
  49 | African chameleon
  50 | Komodo dragon
  51 | African crocodile
  52 | American alligator
  53 | triceratops
  54 | thunder snake
  55 | ringneck snake
  56 | hognose snake
  57 | green snake
  58 | king snake
  59 | garter snake
  60 | water snake
  61 | vine snake
  62 | night snake
  63 | boa constrictor
  64 | rock python
  65 | Indian cobra
  66 | green mamba
  67 | sea snake
  68 | horned viper
  69 | diamondback
  70 | sidewinder
  71 | trilobite
  72 | harvestman
  73 | scorpion
  74 | black and gold garden spider
  75 | barn spider
  76 | garden spider
  77 | black widow
  78 | tarantula
  79 | wolf spider
  80 | tick
  81 | centipede
  82 | black grouse
  83 | ptarmigan
  84 | ruffed grouse
  85 | prairie chicken
  86 | peacock
  87 | quail
  88 | partridge
  89 | African grey
  90 | macaw
  91 | sulphur-crested cockatoo
  92 | lorikeet
  93 | coucal
  94 | bee eater
  95 | hornbill
  96 | hummingbird
  97 | jacamar
  98 | toucan
  99 | drake
 100 | red-breasted merganser
 101 | goose
 102 | black swan
 103 | tusker
 104 | echidna
 105 | platypus
 106 | wallaby
 107 | koala
 108 | wombat
 109 | jellyfish
 110 | sea anemone
 111 | brain coral
 112 | flatworm
 113 | nematode
 114 | conch
 115 | snail
 116 | slug
 117 | sea slug
 118 | chiton
 119 | chambered nautilus
 120 | Dungeness crab
 121 | rock crab
 122 | fiddler crab
 123 | king crab
 124 | American lobster
 125 | spiny lobster
 126 | crayfish
 127 | hermit crab
 128 | isopod
 129 | white stork
 130 | black stork
 131 | spoonbill
 132 | flamingo
 133 | little blue heron
 134 | American egret
 135 | bittern
 136 | crane
 137 | limpkin
 138 | European gallinule
 139 | American coot
 140 | bustard
 141 | ruddy turnstone
 142 | red-backed sandpiper
 143 | redshank
 144 | dowitcher
 145 | oystercatcher
 146 | pelican
 147 | king penguin
 148 | albatross
 149 | grey whale
 150 | killer whale
 151 | dugong
 152 | sea lion
 153 | Chihuahua
 154 | Japanese spaniel
 155 | Maltese dog
 156 | Pekinese
 157 | Shih-Tzu
 158 | Blenheim spaniel
 159 | papillon
 160 | toy terrier
 161 | Rhodesian ridgeback
 162 | Afghan hound
 163 | basset
 164 | beagle
 165 | bloodhound
 166 | bluetick
 167 | black-and-tan coonhound
 168 | Walker hound
 169 | English foxhound
 170 | redbone
 171 | borzoi
 172 | Irish wolfhound
 173 | Italian greyhound
 174 | whippet
 175 | Ibizan hound
 176 | Norwegian elkhound
 177 | otterhound
 178 | Saluki
 179 | Scottish deerhound
 180 | Weimaraner
 181 | Staffordshire bullterrier
 182 | American Staffordshire terrier
 183 | Bedlington terrier
 184 | Border terrier
 185 | Kerry blue terrier
 186 | Irish terrier
 187 | Norfolk terrier
 188 | Norwich terrier
 189 | Yorkshire terrier
 190 | wire-haired fox terrier
 191 | Lakeland terrier
 192 | Sealyham terrier
 193 | Airedale
 194 | cairn
 195 | Australian terrier
 196 | Dandie Dinmont
 197 | Boston bull
 198 | miniature schnauzer
 199 | giant schnauzer
 200 | standard schnauzer
 201 | Scotch terrier
 202 | Tibetan terrier
 203 | silky terrier
 204 | soft-coated wheaten terrier
 205 | West Highland white terrier
 206 | Lhasa
 207 | flat-coated retriever
 208 | curly-coated retriever
 209 | golden retriever
 210 | Labrador retriever
 211 | Chesapeake Bay retriever
 212 | German short-haired pointer
 213 | vizsla
 214 | English setter
 215 | Irish setter
 216 | Gordon setter
 217 | Brittany spaniel
 218 | clumber
 219 | English springer
 220 | Welsh springer spaniel
 221 | cocker spaniel
 222 | Sussex spaniel
 223 | Irish water spaniel
 224 | kuvasz
 225 | schipperke
 226 | groenendael
 227 | malinois
 228 | briard
 229 | kelpie
 230 | komondor
 231 | Old English sheepdog
 232 | Shetland sheepdog
 233 | collie
 234 | Border collie
 235 | Bouvier des Flandres
 236 | Rottweiler
 237 | German shepherd
 238 | Doberman
 239 | miniature pinscher
 240 | Greater Swiss Mountain dog
 241 | Bernese mountain dog
 242 | Appenzeller
 243 | EntleBucher
 244 | boxer
 245 | bull mastiff
 246 | Tibetan mastiff
 247 | French bulldog
 248 | Great Dane
 249 | Saint Bernard
 250 | Eskimo dog
 251 | malamute
 252 | Siberian husky
 253 | dalmatian
 254 | affenpinscher
 255 | basenji
 256 | pug
 257 | Leonberg
 258 | Newfoundland
 259 | Great Pyrenees
 260 | Samoyed
 261 | Pomeranian
 262 | chow
 263 | keeshond
 264 | Brabancon griffon
 265 | Pembroke
 266 | Cardigan
 267 | toy poodle
 268 | miniature poodle
 269 | standard poodle
 270 | Mexican hairless
 271 | timber wolf
 272 | white wolf
 273 | red wolf
 274 | coyote
 275 | dingo
 276 | dhole
 277 | African hunting dog
 278 | hyena
 279 | red fox
 280 | kit fox
 281 | Arctic fox
 282 | grey fox
 283 | tabby
 284 | tiger cat
 285 | Persian cat
 286 | Siamese cat
 287 | Egyptian cat
 288 | cougar
 289 | lynx
 290 | leopard
 291 | snow leopard
 292 | jaguar
 293 | lion
 294 | tiger
 295 | cheetah
 296 | brown bear
 297 | American black bear
 298 | ice bear
 299 | sloth bear
 300 | mongoose
 301 | meerkat
 302 | tiger beetle
 303 | ladybug
 304 | ground beetle
 305 | long-horned beetle
 306 | leaf beetle
 307 | dung beetle
 308 | rhinoceros beetle
 309 | weevil
 310 | fly
 311 | bee
 312 | ant
 313 | grasshopper
 314 | cricket
 315 | walking stick
 316 | cockroach
 317 | mantis
 318 | cicada
 319 | leafhopper
 320 | lacewing
 321 | dragonfly
 322 | damselfly
 323 | admiral
 324 | ringlet
 325 | monarch
 326 | cabbage butterfly
 327 | sulphur butterfly
 328 | lycaenid
 329 | starfish
 330 | sea urchin
 331 | sea cucumber
 332 | wood rabbit
 333 | hare
 334 | Angora
 335 | hamster
 336 | porcupine
 337 | fox squirrel
 338 | marmot
 339 | beaver
 340 | guinea pig
 341 | sorrel
 342 | zebra
 343 | hog
 344 | wild boar
 345 | warthog
 346 | hippopotamus
 347 | ox
 348 | water buffalo
 349 | bison
 350 | ram
 351 | bighorn
 352 | ibex
 353 | hartebeest
 354 | impala
 355 | gazelle
 356 | Arabian camel
 357 | llama
 358 | weasel
 359 | mink
 360 | polecat
 361 | black-footed ferret
 362 | otter
 363 | skunk
 364 | badger
 365 | armadillo
 366 | three-toed sloth
 367 | orangutan
 368 | gorilla
 369 | chimpanzee
 370 | gibbon
 371 | siamang
 372 | guenon
 373 | patas
 374 | baboon
 375 | macaque
 376 | langur
 377 | colobus
 378 | proboscis monkey
 379 | marmoset
 380 | capuchin
 381 | howler monkey
 382 | titi
 383 | spider monkey
 384 | squirrel monkey
 385 | Madagascar cat
 386 | indri
 387 | Indian elephant
 388 | African elephant
 389 | lesser panda
 390 | giant panda
 391 | barracouta
 392 | eel
 393 | coho
 394 | rock beauty
 395 | anemone fish
 396 | sturgeon
 397 | gar
 398 | lionfish
 399 | puffer
 400 | abacus
 401 | abaya
 402 | academic gown
 403 | accordion
 404 | acoustic guitar
 405 | aircraft carrier
 406 | airliner
 407 | airship
 408 | altar
 409 | ambulance
 410 | amphibian
 411 | analog clock
 412 | apiary
 413 | apron
 414 | ashcan
 415 | assault rifle
 416 | backpack
 417 | bakery
 418 | balance beam
 419 | balloon
 420 | ballpoint
 421 | Band Aid
 422 | banjo
 423 | bannister
 424 | barbell
 425 | barber chair
 426 | barbershop
 427 | barn
 428 | barometer
 429 | barrel
 430 | barrow
 431 | baseball
 432 | basketball
 433 | bassinet
 434 | bassoon
 435 | bathing cap
 436 | bath towel
 437 | bathtub
 438 | beach wagon
 439 | beacon
 440 | beaker
 441 | bearskin
 442 | beer bottle
 443 | beer glass
 444 | bell cote
 445 | bib
 446 | bicycle-built-for-two
 447 | bikini
 448 | binder
 449 | binoculars
 450 | birdhouse
 451 | boathouse
 452 | bobsled
 453 | bolo tie
 454 | bonnet
 455 | bookcase
 456 | bookshop
 457 | bottlecap
 458 | bow
 459 | bow tie
 460 | brass
 461 | brassiere
 462 | breakwater
 463 | breastplate
 464 | broom
 465 | bucket
 466 | buckle
 467 | bulletproof vest
 468 | bullet train
 469 | butcher shop
 470 | cab
 471 | caldron
 472 | candle
 473 | cannon
 474 | canoe
 475 | can opener
 476 | cardigan
 477 | car mirror
 478 | carousel
 479 | carpenter's kit
 480 | carton
 481 | car wheel
 482 | cash machine
 483 | cassette
 484 | cassette player
 485 | castle
 486 | catamaran
 487 | CD player
 488 | cello
 489 | cellular telephone
 490 | chain
 491 | chainlink fence
 492 | chain mail
 493 | chain saw
 494 | chest
 495 | chiffonier
 496 | chime
 497 | china cabinet
 498 | Christmas stocking
 499 | church
 500 | cinema
 501 | cleaver
 502 | cliff dwelling
 503 | cloak
 504 | clog
 505 | cocktail shaker
 506 | coffee mug
 507 | coffeepot
 508 | coil
 509 | combination lock
 510 | computer keyboard
 511 | confectionery
 512 | container ship
 513 | convertible
 514 | corkscrew
 515 | cornet
 516 | cowboy boot
 517 | cowboy hat
 518 | cradle
 519 | crane
 520 | crash helmet
 521 | crate
 522 | crib
 523 | Crock Pot
 524 | croquet ball
 525 | crutch
 526 | cuirass
 527 | dam
 528 | desk
 529 | desktop computer
 530 | dial telephone
 531 | diaper
 532 | digital clock
 533 | digital watch
 534 | dining table
 535 | dishrag
 536 | dishwasher
 537 | disk brake
 538 | dock
 539 | dogsled
 540 | dome
 541 | doormat
 542 | drilling platform
 543 | drum
 544 | drumstick
 545 | dumbbell
 546 | Dutch oven
 547 | electric fan
 548 | electric guitar
 549 | electric locomotive
 550 | entertainment center
 551 | envelope
 552 | espresso maker
 553 | face powder
 554 | feather boa
 555 | file
 556 | fireboat
 557 | fire engine
 558 | fire screen
 559 | flagpole
 560 | flute
 561 | folding chair
 562 | football helmet
 563 | forklift
 564 | fountain
 565 | fountain pen
 566 | four-poster
 567 | freight car
 568 | French horn
 569 | frying pan
 570 | fur coat
 571 | garbage truck
 572 | gasmask
 573 | gas pump
 574 | goblet
 575 | go-kart
 576 | golf ball
 577 | golfcart
 578 | gondola
 579 | gong
 580 | gown
 581 | grand piano
 582 | greenhouse
 583 | grille
 584 | grocery store
 585 | guillotine
 586 | hair slide
 587 | hair spray
 588 | half track
 589 | hammer
 590 | hamper
 591 | hand blower
 592 | hand-held computer
 593 | handkerchief
 594 | hard disc
 595 | harmonica
 596 | harp
 597 | harvester
 598 | hatchet
 599 | holster
 600 | home theater
 601 | honeycomb
 602 | hook
 603 | hoopskirt
 604 | horizontal bar
 605 | horse cart
 606 | hourglass
 607 | iPod
 608 | iron
 609 | jack-o'-lantern
 610 | jean
 611 | jeep
 612 | jersey
 613 | jigsaw puzzle
 614 | jinrikisha
 615 | joystick
 616 | kimono
 617 | knee pad
 618 | knot
 619 | lab coat
 620 | ladle
 621 | lampshade
 622 | laptop
 623 | lawn mower
 624 | lens cap
 625 | letter opener
 626 | library
 627 | lifeboat
 628 | lighter
 629 | limousine
 630 | liner
 631 | lipstick
 632 | Loafer
 633 | lotion
 634 | loudspeaker
 635 | loupe
 636 | lumbermill
 637 | magnetic compass
 638 | mailbag
 639 | mailbox
 640 | maillot
 641 | maillot
 642 | manhole cover
 643 | maraca
 644 | marimba
 645 | mask
 646 | matchstick
 647 | maypole
 648 | maze
 649 | measuring cup
 650 | medicine chest
 651 | megalith
 652 | microphone
 653 | microwave
 654 | military uniform
 655 | milk can
 656 | minibus
 657 | miniskirt
 658 | minivan
 659 | missile
 660 | mitten
 661 | mixing bowl
 662 | mobile home
 663 | Model T
 664 | modem
 665 | monastery
 666 | monitor
 667 | moped
 668 | mortar
 669 | mortarboard
 670 | mosque
 671 | mosquito net
 672 | motor scooter
 673 | mountain bike
 674 | mountain tent
 675 | mouse
 676 | mousetrap
 677 | moving van
 678 | muzzle
 679 | nail
 680 | neck brace
 681 | necklace
 682 | nipple
 683 | notebook
 684 | obelisk
 685 | oboe
 686 | ocarina
 687 | odometer
 688 | oil filter
 689 | organ
 690 | oscilloscope
 691 | overskirt
 692 | oxcart
 693 | oxygen mask
 694 | packet
 695 | paddle
 696 | paddlewheel
 697 | padlock
 698 | paintbrush
 699 | pajama
 700 | palace
 701 | panpipe
 702 | paper towel
 703 | parachute
 704 | parallel bars
 705 | park bench
 706 | parking meter
 707 | passenger car
 708 | patio
 709 | pay-phone
 710 | pedestal
 711 | pencil box
 712 | pencil sharpener
 713 | perfume
 714 | Petri dish
 715 | photocopier
 716 | pick
 717 | pickelhaube
 718 | picket fence
 719 | pickup
 720 | pier
 721 | piggy bank
 722 | pill bottle
 723 | pillow
 724 | ping-pong ball
 725 | pinwheel
 726 | pirate
 727 | pitcher
 728 | plane
 729 | planetarium
 730 | plastic bag
 731 | plate rack
 732 | plow
 733 | plunger
 734 | Polaroid camera
 735 | pole
 736 | police van
 737 | poncho
 738 | pool table
 739 | pop bottle
 740 | pot
 741 | potter's wheel
 742 | power drill
 743 | prayer rug
 744 | printer
 745 | prison
 746 | projectile
 747 | projector
 748 | puck
 749 | punching bag
 750 | purse
 751 | quill
 752 | quilt
 753 | racer
 754 | racket
 755 | radiator
 756 | radio
 757 | radio telescope
 758 | rain barrel
 759 | recreational vehicle
 760 | reel
 761 | reflex camera
 762 | refrigerator
 763 | remote control
 764 | restaurant
 765 | revolver
 766 | rifle
 767 | rocking chair
 768 | rotisserie
 769 | rubber eraser
 770 | rugby ball
 771 | rule
 772 | running shoe
 773 | safe
 774 | safety pin
 775 | saltshaker
 776 | sandal
 777 | sarong
 778 | sax
 779 | scabbard
 780 | scale
 781 | school bus
 782 | schooner
 783 | scoreboard
 784 | screen
 785 | screw
 786 | screwdriver
 787 | seat belt
 788 | sewing machine
 789 | shield
 790 | shoe shop
 791 | shoji
 792 | shopping basket
 793 | shopping cart
 794 | shovel
 795 | shower cap
 796 | shower curtain
 797 | ski
 798 | ski mask
 799 | sleeping bag
 800 | slide rule
 801 | sliding door
 802 | slot
 803 | snorkel
 804 | snowmobile
 805 | snowplow
 806 | soap dispenser
 807 | soccer ball
 808 | sock
 809 | solar dish
 810 | sombrero
 811 | soup bowl
 812 | space bar
 813 | space heater
 814 | space shuttle
 815 | spatula
 816 | speedboat
 817 | spider web
 818 | spindle
 819 | sports car
 820 | spotlight
 821 | stage
 822 | steam locomotive
 823 | steel arch bridge
 824 | steel drum
 825 | stethoscope
 826 | stole
 827 | stone wall
 828 | stopwatch
 829 | stove
 830 | strainer
 831 | streetcar
 832 | stretcher
 833 | studio couch
 834 | stupa
 835 | submarine
 836 | suit
 837 | sundial
 838 | sunglass
 839 | sunglasses
 840 | sunscreen
 841 | suspension bridge
 842 | swab
 843 | sweatshirt
 844 | swimming trunks
 845 | swing
 846 | switch
 847 | syringe
 848 | table lamp
 849 | tank
 850 | tape player
 851 | teapot
 852 | teddy
 853 | television
 854 | tennis ball
 855 | thatch
 856 | theater curtain
 857 | thimble
 858 | thresher
 859 | throne
 860 | tile roof
 861 | toaster
 862 | tobacco shop
 863 | toilet seat
 864 | torch
 865 | totem pole
 866 | tow truck
 867 | toyshop
 868 | tractor
 869 | trailer truck
 870 | tray
 871 | trench coat
 872 | tricycle
 873 | trimaran
 874 | tripod
 875 | triumphal arch
 876 | trolleybus
 877 | trombone
 878 | tub
 879 | turnstile
 880 | typewriter keyboard
 881 | umbrella
 882 | unicycle
 883 | upright
 884 | vacuum
 885 | vase
 886 | vault
 887 | velvet
 888 | vending machine
 889 | vestment
 890 | viaduct
 891 | violin
 892 | volleyball
 893 | waffle iron
 894 | wall clock
 895 | wallet
 896 | wardrobe
 897 | warplane
 898 | washbasin
 899 | washer
 900 | water bottle
 901 | water jug
 902 | water tower
 903 | whiskey jug
 904 | whistle
 905 | wig
 906 | window screen
 907 | window shade
 908 | Windsor tie
 909 | wine bottle
 910 | wing
 911 | wok
 912 | wooden spoon
 913 | wool
 914 | worm fence
 915 | wreck
 916 | yawl
 917 | yurt
 918 | web site
 919 | comic book
 920 | crossword puzzle
 921 | street sign
 922 | traffic light
 923 | book jacket
 924 | menu
 925 | plate
 926 | guacamole
 927 | consomme
 928 | hot pot
 929 | trifle
 930 | ice cream
 931 | ice lolly
 932 | French loaf
 933 | bagel
 934 | pretzel
 935 | cheeseburger
 936 | hotdog
 937 | mashed potato
 938 | head cabbage
 939 | broccoli
 940 | cauliflower
 941 | zucchini
 942 | spaghetti squash
 943 | acorn squash
 944 | butternut squash
 945 | cucumber
 946 | artichoke
 947 | bell pepper
 948 | cardoon
 949 | mushroom
 950 | Granny Smith
 951 | strawberry
 952 | orange
 953 | lemon
 954 | fig
 955 | pineapple
 956 | banana
 957 | jackfruit
 958 | custard apple
 959 | pomegranate
 960 | hay
 961 | carbonara
 962 | chocolate sauce
 963 | dough
 964 | meat loaf
 965 | pizza
 966 | potpie
 967 | burrito
 968 | red wine
 969 | espresso
 970 | cup
 971 | eggnog
 972 | alp
 973 | bubble
 974 | cliff
 975 | coral reef
 976 | geyser
 977 | lakeside
 978 | promontory
 979 | sandbar
 980 | seashore
 981 | valley
 982 | volcano
 983 | ballplayer
 984 | groom
 985 | scuba diver
 986 | rapeseed
 987 | daisy
 988 | yellow lady's slipper
 989 | corn
 990 | acorn
 991 | hip
 992 | buckeye
 993 | coral fungus
 994 | agaric
 995 | gyromitra
 996 | stinkhorn
 997 | earthstar
 998 | hen-of-the-woods
 999 | bolete
1000 | ear
1001 | toilet tissue
1002 | 


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