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#include <opencv2/opencv.hpp> |
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#include <opencv2/dnn.hpp> |
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#include <iostream> |
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#include <algorithm> |
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using namespace std; |
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using namespace cv; |
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using namespace dnn; |
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extern vector<string> LABELS_IMAGENET_1K; |
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class PPResNet { |
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public: |
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PPResNet(const string& modelPath, int topK, int backendId, int targetId) |
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: _topK(topK) { |
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_model = readNet(modelPath); |
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_model.setPreferableBackend(backendId); |
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_model.setPreferableTarget(targetId); |
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} |
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Mat preprocess(const Mat& image) |
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{ |
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Mat floatImage; |
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image.convertTo(floatImage, CV_32F, 1.0 / 255.0); |
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subtract(floatImage, _mean, floatImage); |
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divide(floatImage, _std, floatImage); |
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return blobFromImage(floatImage); |
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} |
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vector<string> infer(const Mat& image) |
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{ |
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assert(image.rows == _inputSize.height && image.cols == _inputSize.width); |
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Mat inputBlob = preprocess(image); |
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_model.setInput(inputBlob, _inputName); |
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Mat outputBlob = _model.forward(_outputName); |
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vector<string> results = postprocess(outputBlob); |
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return results; |
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} |
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vector<string> postprocess(const Mat& outputBlob) |
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{ |
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vector<int> class_id_list; |
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sortIdx(outputBlob, class_id_list, SORT_EVERY_ROW | SORT_DESCENDING); |
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class_id_list.resize(min(_topK, static_cast<int>(outputBlob.cols))); |
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vector<string> predicted_labels; |
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for (int class_id : class_id_list) |
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{ |
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predicted_labels.push_back(LABELS_IMAGENET_1K[class_id]); |
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} |
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return predicted_labels; |
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} |
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private: |
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Net _model; |
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int _topK; |
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const Size _inputSize = Size(224, 224); |
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const Scalar _mean = Scalar(0.485, 0.456, 0.406); |
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const Scalar _std = Scalar(0.229, 0.224, 0.225); |
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string _inputName = ""; |
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string _outputName = "save_infer_model/scale_0.tmp_0"; |
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}; |
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const vector<vector<int>> backend_target_pairs = |
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{ |
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{DNN_BACKEND_OPENCV, DNN_TARGET_CPU}, |
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{DNN_BACKEND_CUDA, DNN_TARGET_CUDA}, |
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{DNN_BACKEND_CUDA, DNN_TARGET_CUDA_FP16}, |
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{DNN_BACKEND_TIMVX, DNN_TARGET_NPU}, |
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{DNN_BACKEND_CANN, DNN_TARGET_NPU} |
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}; |
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int main(int argc, char** argv) |
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{ |
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CommandLineParser parser(argc, argv, |
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"{ input i | | Set input path to a certain image, omit if using camera.}" |
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"{ model m | image_classification_ppresnet50_2022jan.onnx | Set model path.}" |
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"{ top_k k | 1 | Get top k predictions.}" |
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"{ backend_target bt | 0 | Choose one of computation backends: " |
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"0: (default) OpenCV implementation + CPU, " |
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"1: CUDA + GPU (CUDA), " |
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"2: CUDA + GPU (CUDA FP16), " |
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"3: TIM-VX + NPU, " |
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"4: CANN + NPU}"); |
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string inputPath = parser.get<string>("input"); |
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string modelPath = parser.get<string>("model"); |
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int backendTarget = parser.get<int>("backend_target"); |
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int topK = parser.get<int>("top_k"); |
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int backendId = backend_target_pairs[backendTarget][0]; |
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int targetId = backend_target_pairs[backendTarget][1]; |
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PPResNet model(modelPath, topK, backendId, targetId); |
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Mat image = imread(inputPath); |
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cvtColor(image, image, COLOR_BGR2RGB); |
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resize(image, image, Size(256, 256)); |
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image = image(Rect(16, 16, 224, 224)); |
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auto predictions = model.infer(image); |
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if (topK == 1) |
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{ |
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cout << "Predicted Label: " << predictions[0] << endl; |
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} |
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else |
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{ |
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cout << "Predicted Top-K Labels (in decreasing confidence): " << endl; |
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for (size_t i = 0; i < predictions.size(); ++i) |
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{ |
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cout << "(" << i+1 << ") " << predictions[i] << endl; |
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} |
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} |
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return 0; |
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} |
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vector<string> LABELS_IMAGENET_1K = |
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{ |
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"tench", |
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"goldfish", |
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"great white shark", |
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"tiger shark", |
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"hammerhead", |
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"electric ray", |
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"stingray", |
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"cock", |
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"hen", |
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"ostrich", |
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"brambling", |
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"goldfinch", |
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"house finch", |
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"junco", |
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"indigo bunting", |
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"robin", |
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"bulbul", |
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"jay", |
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"magpie", |
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"chickadee", |
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"water ouzel", |
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"kite", |
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"bald eagle", |
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"vulture", |
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"great grey owl", |
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"European fire salamander", |
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"common newt", |
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"eft", |
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"spotted salamander", |
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"axolotl", |
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"bullfrog", |
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"tree frog", |
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"tailed frog", |
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"loggerhead", |
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"leatherback turtle", |
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"mud turtle", |
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"terrapin", |
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"box turtle", |
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"banded gecko", |
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"common iguana", |
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"American chameleon", |
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"whiptail", |
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"agama", |
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"frilled lizard", |
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"alligator lizard", |
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"Gila monster", |
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"green lizard", |
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"African chameleon", |
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"Komodo dragon", |
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"African crocodile", |
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"American alligator", |
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"triceratops", |
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"thunder snake", |
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"ringneck snake", |
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"hognose snake", |
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"green snake", |
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"king snake", |
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"garter snake", |
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"water snake", |
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"vine snake", |
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"night snake", |
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"boa constrictor", |
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"rock python", |
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"Indian cobra", |
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"green mamba", |
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"sea snake", |
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"horned viper", |
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"diamondback", |
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"sidewinder", |
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"trilobite", |
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"harvestman", |
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"scorpion", |
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"black and gold garden spider", |
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"barn spider", |
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"garden spider", |
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"black widow", |
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"tarantula", |
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"wolf spider", |
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"tick", |
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"centipede", |
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"black grouse", |
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"ptarmigan", |
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"ruffed grouse", |
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"prairie chicken", |
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"peacock", |
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"quail", |
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"partridge", |
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"African grey", |
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"macaw", |
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"sulphur-crested cockatoo", |
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"lorikeet", |
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"coucal", |
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"bee eater", |
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"hornbill", |
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"hummingbird", |
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"jacamar", |
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"toucan", |
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"drake", |
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"red-breasted merganser", |
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"goose", |
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"black swan", |
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"tusker", |
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"echidna", |
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"platypus", |
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"wallaby", |
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"koala", |
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"wombat", |
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"jellyfish", |
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"sea anemone", |
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"brain coral", |
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"flatworm", |
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"nematode", |
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"conch", |
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"snail", |
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"slug", |
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"sea slug", |
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"chiton", |
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"chambered nautilus", |
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"Dungeness crab", |
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"rock crab", |
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"fiddler crab", |
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"king crab", |
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"American lobster", |
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"spiny lobster", |
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"crayfish", |
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"hermit crab", |
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"isopod", |
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"white stork", |
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"black stork", |
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"spoonbill", |
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"flamingo", |
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"little blue heron", |
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"American egret", |
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"bittern", |
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"crane", |
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"limpkin", |
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"European gallinule", |
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"American coot", |
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"bustard", |
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"ruddy turnstone", |
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"red-backed sandpiper", |
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"redshank", |
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"dowitcher", |
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"oystercatcher", |
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"pelican", |
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"king penguin", |
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"albatross", |
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"grey whale", |
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"killer whale", |
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"dugong", |
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"sea lion", |
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"Chihuahua", |
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"Japanese spaniel", |
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"Maltese dog", |
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"Pekinese", |
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"Shih-Tzu", |
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"Blenheim spaniel", |
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"papillon", |
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"toy terrier", |
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"Rhodesian ridgeback", |
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"Afghan hound", |
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"basset", |
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"beagle", |
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"bloodhound", |
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"bluetick", |
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"black-and-tan coonhound", |
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"Walker hound", |
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"English foxhound", |
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"redbone", |
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"borzoi", |
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"Irish wolfhound", |
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"Italian greyhound", |
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"whippet", |
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"Ibizan hound", |
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"Norwegian elkhound", |
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"otterhound", |
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"Saluki", |
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"Scottish deerhound", |
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"Weimaraner", |
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"Staffordshire bullterrier", |
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"American Staffordshire terrier", |
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"Bedlington terrier", |
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"Border terrier", |
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"Kerry blue terrier", |
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"Irish terrier", |
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"Norfolk terrier", |
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"Norwich terrier", |
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"Yorkshire terrier", |
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"wire-haired fox terrier", |
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"Lakeland terrier", |
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"Sealyham terrier", |
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"Airedale", |
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"cairn", |
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"Australian terrier", |
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"Dandie Dinmont", |
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"Boston bull", |
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"miniature schnauzer", |
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"giant schnauzer", |
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"standard schnauzer", |
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"Scotch terrier", |
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"Tibetan terrier", |
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"silky terrier", |
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"soft-coated wheaten terrier", |
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"West Highland white terrier", |
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"Lhasa", |
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"flat-coated retriever", |
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"curly-coated retriever", |
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"golden retriever", |
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"Labrador retriever", |
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"Chesapeake Bay retriever", |
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"German short-haired pointer", |
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"vizsla", |
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"English setter", |
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"Irish setter", |
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"Gordon setter", |
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"Brittany spaniel", |
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"clumber", |
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"English springer", |
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"Welsh springer spaniel", |
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"cocker spaniel", |
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"Sussex spaniel", |
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"Irish water spaniel", |
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"kuvasz", |
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"schipperke", |
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"groenendael", |
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"malinois", |
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"briard", |
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"kelpie", |
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"komondor", |
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"Old English sheepdog", |
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"Shetland sheepdog", |
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"collie", |
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"Border collie", |
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"Bouvier des Flandres", |
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"Rottweiler", |
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"German shepherd", |
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"Doberman", |
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"miniature pinscher", |
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"Greater Swiss Mountain dog", |
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"Bernese mountain dog", |
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"Appenzeller", |
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"EntleBucher", |
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"boxer", |
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"bull mastiff", |
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"Tibetan mastiff", |
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"French bulldog", |
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"Great Dane", |
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"Saint Bernard", |
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"Eskimo dog", |
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"malamute", |
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"Siberian husky", |
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"dalmatian", |
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"affenpinscher", |
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"basenji", |
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"pug", |
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"Leonberg", |
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"Newfoundland", |
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"Great Pyrenees", |
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"Samoyed", |
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"Pomeranian", |
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"chow", |
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"keeshond", |
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"Brabancon griffon", |
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"Pembroke", |
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"Cardigan", |
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"toy poodle", |
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"miniature poodle", |
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"standard poodle", |
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"Mexican hairless", |
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"timber wolf", |
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"white wolf", |
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"red wolf", |
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"coyote", |
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"dingo", |
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"dhole", |
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"African hunting dog", |
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"hyena", |
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"red fox", |
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"kit fox", |
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"Arctic fox", |
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"grey fox", |
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"tabby", |
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"tiger cat", |
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"Persian cat", |
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"Siamese cat", |
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"Egyptian cat", |
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"cougar", |
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"lynx", |
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"leopard", |
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"snow leopard", |
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"jaguar", |
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"lion", |
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"tiger", |
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"cheetah", |
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"brown bear", |
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"American black bear", |
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"ice bear", |
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"sloth bear", |
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"mongoose", |
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"meerkat", |
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"tiger beetle", |
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"ladybug", |
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"ground beetle", |
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"long-horned beetle", |
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"leaf beetle", |
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"dung beetle", |
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"rhinoceros beetle", |
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"weevil", |
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"fly", |
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"bee", |
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"ant", |
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"grasshopper", |
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"cricket", |
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"walking stick", |
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"cockroach", |
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"mantis", |
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"cicada", |
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"leafhopper", |
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"lacewing", |
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"dragonfly", |
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"damselfly", |
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"admiral", |
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"ringlet", |
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"monarch", |
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"cabbage butterfly", |
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"sulphur butterfly", |
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"lycaenid", |
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"starfish", |
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"sea urchin", |
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"sea cucumber", |
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"wood rabbit", |
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"hare", |
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"Angora", |
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"hamster", |
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"porcupine", |
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"fox squirrel", |
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"marmot", |
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"beaver", |
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"guinea pig", |
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"sorrel", |
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"zebra", |
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"hog", |
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"wild boar", |
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"warthog", |
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"hippopotamus", |
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"ox", |
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"water buffalo", |
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"bison", |
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"ram", |
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"bighorn", |
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"ibex", |
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"hartebeest", |
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"impala", |
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"gazelle", |
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"Arabian camel", |
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"llama", |
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"weasel", |
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"mink", |
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"polecat", |
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"black-footed ferret", |
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"otter", |
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"skunk", |
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"badger", |
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"armadillo", |
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"three-toed sloth", |
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"orangutan", |
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"gorilla", |
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"chimpanzee", |
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"gibbon", |
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"siamang", |
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"guenon", |
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"patas", |
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"baboon", |
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"macaque", |
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"langur", |
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"colobus", |
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"proboscis monkey", |
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"marmoset", |
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"capuchin", |
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"howler monkey", |
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"titi", |
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"spider monkey", |
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"squirrel monkey", |
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"Madagascar cat", |
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"indri", |
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"Indian elephant", |
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"African elephant", |
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"lesser panda", |
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"giant panda", |
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"barracouta", |
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"eel", |
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"coho", |
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"rock beauty", |
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"anemone fish", |
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"sturgeon", |
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"gar", |
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"lionfish", |
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"puffer", |
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"abacus", |
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"abaya", |
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"academic gown", |
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"accordion", |
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"acoustic guitar", |
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"aircraft carrier", |
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"airliner", |
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"airship", |
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"altar", |
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"ambulance", |
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"amphibian", |
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"analog clock", |
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"apiary", |
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"apron", |
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"ashcan", |
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"assault rifle", |
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"backpack", |
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"bakery", |
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"balance beam", |
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"balloon", |
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"ballpoint", |
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"Band Aid", |
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"banjo", |
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"bannister", |
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"barbell", |
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"barber chair", |
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"barbershop", |
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"barn", |
|
|
"barometer", |
|
|
"barrel", |
|
|
"barrow", |
|
|
"baseball", |
|
|
"basketball", |
|
|
"bassinet", |
|
|
"bassoon", |
|
|
"bathing cap", |
|
|
"bath towel", |
|
|
"bathtub", |
|
|
"beach wagon", |
|
|
"beacon", |
|
|
"beaker", |
|
|
"bearskin", |
|
|
"beer bottle", |
|
|
"beer glass", |
|
|
"bell cote", |
|
|
"bib", |
|
|
"bicycle-built-for-two", |
|
|
"bikini", |
|
|
"binder", |
|
|
"binoculars", |
|
|
"birdhouse", |
|
|
"boathouse", |
|
|
"bobsled", |
|
|
"bolo tie", |
|
|
"bonnet", |
|
|
"bookcase", |
|
|
"bookshop", |
|
|
"bottlecap", |
|
|
"bow", |
|
|
"bow tie", |
|
|
"brass", |
|
|
"brassiere", |
|
|
"breakwater", |
|
|
"breastplate", |
|
|
"broom", |
|
|
"bucket", |
|
|
"buckle", |
|
|
"bulletproof vest", |
|
|
"bullet train", |
|
|
"butcher shop", |
|
|
"cab", |
|
|
"caldron", |
|
|
"candle", |
|
|
"cannon", |
|
|
"canoe", |
|
|
"can opener", |
|
|
"cardigan", |
|
|
"car mirror", |
|
|
"carousel", |
|
|
"carpenter's kit", |
|
|
"carton", |
|
|
"car wheel", |
|
|
"cash machine", |
|
|
"cassette", |
|
|
"cassette player", |
|
|
"castle", |
|
|
"catamaran", |
|
|
"CD player", |
|
|
"cello", |
|
|
"cellular telephone", |
|
|
"chain", |
|
|
"chainlink fence", |
|
|
"chain mail", |
|
|
"chain saw", |
|
|
"chest", |
|
|
"chiffonier", |
|
|
"chime", |
|
|
"china cabinet", |
|
|
"Christmas stocking", |
|
|
"church", |
|
|
"cinema", |
|
|
"cleaver", |
|
|
"cliff dwelling", |
|
|
"cloak", |
|
|
"clog", |
|
|
"cocktail shaker", |
|
|
"coffee mug", |
|
|
"coffeepot", |
|
|
"coil", |
|
|
"combination lock", |
|
|
"computer keyboard", |
|
|
"confectionery", |
|
|
"container ship", |
|
|
"convertible", |
|
|
"corkscrew", |
|
|
"cornet", |
|
|
"cowboy boot", |
|
|
"cowboy hat", |
|
|
"cradle", |
|
|
"crane", |
|
|
"crash helmet", |
|
|
"crate", |
|
|
"crib", |
|
|
"Crock Pot", |
|
|
"croquet ball", |
|
|
"crutch", |
|
|
"cuirass", |
|
|
"dam", |
|
|
"desk", |
|
|
"desktop computer", |
|
|
"dial telephone", |
|
|
"diaper", |
|
|
"digital clock", |
|
|
"digital watch", |
|
|
"dining table", |
|
|
"dishrag", |
|
|
"dishwasher", |
|
|
"disk brake", |
|
|
"dock", |
|
|
"dogsled", |
|
|
"dome", |
|
|
"doormat", |
|
|
"drilling platform", |
|
|
"drum", |
|
|
"drumstick", |
|
|
"dumbbell", |
|
|
"Dutch oven", |
|
|
"electric fan", |
|
|
"electric guitar", |
|
|
"electric locomotive", |
|
|
"entertainment center", |
|
|
"envelope", |
|
|
"espresso maker", |
|
|
"face powder", |
|
|
"feather boa", |
|
|
"filing cabinet", |
|
|
"fireboat", |
|
|
"fire engine", |
|
|
"fire screen", |
|
|
"flagpole", |
|
|
"flute", |
|
|
"folding chair", |
|
|
"football helmet", |
|
|
"forklift", |
|
|
"fountain", |
|
|
"fountain pen", |
|
|
"four-poster", |
|
|
"freight car", |
|
|
"French horn", |
|
|
"frying pan", |
|
|
"fur coat", |
|
|
"garbage truck", |
|
|
"gasmask", |
|
|
"gas pump", |
|
|
"goblet", |
|
|
"go-kart", |
|
|
"golf ball", |
|
|
"golfcart", |
|
|
"gondola", |
|
|
"gong", |
|
|
"gown", |
|
|
"grand piano", |
|
|
"greenhouse", |
|
|
"grille", |
|
|
"grocery store", |
|
|
"guillotine", |
|
|
"hair slide", |
|
|
"hair spray", |
|
|
"half track", |
|
|
"hammer", |
|
|
"hamper", |
|
|
"hand blower", |
|
|
"hand-held computer", |
|
|
"handkerchief", |
|
|
"hard disc", |
|
|
"harmonica", |
|
|
"harp", |
|
|
"harvester", |
|
|
"hatchet", |
|
|
"holster", |
|
|
"home theater", |
|
|
"honeycomb", |
|
|
"hook", |
|
|
"hoopskirt", |
|
|
"horizontal bar", |
|
|
"horse cart", |
|
|
"hourglass", |
|
|
"iPod", |
|
|
"iron", |
|
|
"jack-o'-lantern", |
|
|
"jean", |
|
|
"jeep", |
|
|
"jersey", |
|
|
"jigsaw puzzle", |
|
|
"jinrikisha", |
|
|
"joystick", |
|
|
"kimono", |
|
|
"knee pad", |
|
|
"knot", |
|
|
"lab coat", |
|
|
"ladle", |
|
|
"lampshade", |
|
|
"laptop", |
|
|
"lawn mower", |
|
|
"lens cap", |
|
|
"letter opener", |
|
|
"library", |
|
|
"lifeboat", |
|
|
"lighter", |
|
|
"limousine", |
|
|
"liner", |
|
|
"lipstick", |
|
|
"Loafer", |
|
|
"lotion", |
|
|
"loudspeaker", |
|
|
"loupe", |
|
|
"lumbermill", |
|
|
"magnetic compass", |
|
|
"mailbag", |
|
|
"mailbox", |
|
|
"maillot", |
|
|
"maillot", |
|
|
"manhole cover", |
|
|
"maraca", |
|
|
"marimba", |
|
|
"mask", |
|
|
"matchstick", |
|
|
"maypole", |
|
|
"maze", |
|
|
"measuring cup", |
|
|
"medicine chest", |
|
|
"megalith", |
|
|
"microphone", |
|
|
"microwave", |
|
|
"military uniform", |
|
|
"milk can", |
|
|
"minibus", |
|
|
"miniskirt", |
|
|
"minivan", |
|
|
"missile", |
|
|
"mitten", |
|
|
"mixing bowl", |
|
|
"mobile home", |
|
|
"Model T", |
|
|
"modem", |
|
|
"monastery", |
|
|
"monitor", |
|
|
"moped", |
|
|
"mortar", |
|
|
"mortarboard", |
|
|
"mosque", |
|
|
"mosquito net", |
|
|
"motor scooter", |
|
|
"mountain bike", |
|
|
"mountain tent", |
|
|
"mouse", |
|
|
"mousetrap", |
|
|
"moving van", |
|
|
"muzzle", |
|
|
"nail", |
|
|
"neck brace", |
|
|
"necklace", |
|
|
"nipple", |
|
|
"notebook", |
|
|
"obelisk", |
|
|
"oboe", |
|
|
"ocarina", |
|
|
"odometer", |
|
|
"oil filter", |
|
|
"organ", |
|
|
"oscilloscope", |
|
|
"overskirt", |
|
|
"oxcart", |
|
|
"oxygen mask", |
|
|
"packet", |
|
|
"paddle", |
|
|
"paddlewheel", |
|
|
"padlock", |
|
|
"paintbrush", |
|
|
"pajama", |
|
|
"palace", |
|
|
"panpipe", |
|
|
"paper towel", |
|
|
"parachute", |
|
|
"parallel bars", |
|
|
"park bench", |
|
|
"parking meter", |
|
|
"passenger car", |
|
|
"patio", |
|
|
"pay-phone", |
|
|
"pedestal", |
|
|
"pencil box", |
|
|
"pencil sharpener", |
|
|
"perfume", |
|
|
"Petri dish", |
|
|
"photocopier", |
|
|
"pick", |
|
|
"pickelhaube", |
|
|
"picket fence", |
|
|
"pickup", |
|
|
"pier", |
|
|
"piggy bank", |
|
|
"pill bottle", |
|
|
"pillow", |
|
|
"ping-pong ball", |
|
|
"pinwheel", |
|
|
"pirate", |
|
|
"pitcher", |
|
|
"plane", |
|
|
"planetarium", |
|
|
"plastic bag", |
|
|
"plate rack", |
|
|
"plow", |
|
|
"plunger", |
|
|
"Polaroid camera", |
|
|
"pole", |
|
|
"police van", |
|
|
"poncho", |
|
|
"pool table", |
|
|
"pop bottle", |
|
|
"pot", |
|
|
"potter's wheel", |
|
|
"power drill", |
|
|
"prayer rug", |
|
|
"printer", |
|
|
"prison", |
|
|
"projectile", |
|
|
"projector", |
|
|
"puck", |
|
|
"punching bag", |
|
|
"purse", |
|
|
"quill", |
|
|
"quilt", |
|
|
"racer", |
|
|
"racket", |
|
|
"radiator", |
|
|
"radio", |
|
|
"radio telescope", |
|
|
"rain barrel", |
|
|
"recreational vehicle", |
|
|
"reel", |
|
|
"reflex camera", |
|
|
"refrigerator", |
|
|
"remote control", |
|
|
"restaurant", |
|
|
"revolver", |
|
|
"rifle", |
|
|
"rocking chair", |
|
|
"rotisserie", |
|
|
"rubber eraser", |
|
|
"rugby ball", |
|
|
"rule", |
|
|
"running shoe", |
|
|
"safe", |
|
|
"safety pin", |
|
|
"saltshaker", |
|
|
"sandal", |
|
|
"sarong", |
|
|
"sax", |
|
|
"scabbard", |
|
|
"scale", |
|
|
"school bus", |
|
|
"schooner", |
|
|
"scoreboard", |
|
|
"screen", |
|
|
"screw", |
|
|
"screwdriver", |
|
|
"seat belt", |
|
|
"sewing machine", |
|
|
"shield", |
|
|
"shoe shop", |
|
|
"shoji", |
|
|
"shopping basket", |
|
|
"shopping cart", |
|
|
"shovel", |
|
|
"shower cap", |
|
|
"shower curtain", |
|
|
"ski", |
|
|
"ski mask", |
|
|
"sleeping bag", |
|
|
"slide rule", |
|
|
"sliding door", |
|
|
"slot", |
|
|
"snorkel", |
|
|
"snowmobile", |
|
|
"snowplow", |
|
|
"soap dispenser", |
|
|
"soccer ball", |
|
|
"sock", |
|
|
"solar dish", |
|
|
"sombrero", |
|
|
"soup bowl", |
|
|
"space bar", |
|
|
"space heater", |
|
|
"space shuttle", |
|
|
"spatula", |
|
|
"speedboat", |
|
|
"spider web", |
|
|
"spindle", |
|
|
"sports car", |
|
|
"spotlight", |
|
|
"stage", |
|
|
"steam locomotive", |
|
|
"steel arch bridge", |
|
|
"steel drum", |
|
|
"stethoscope", |
|
|
"stole", |
|
|
"stone wall", |
|
|
"stopwatch", |
|
|
"stove", |
|
|
"strainer", |
|
|
"streetcar", |
|
|
"stretcher", |
|
|
"studio couch", |
|
|
"stupa", |
|
|
"submarine", |
|
|
"suit", |
|
|
"sundial", |
|
|
"sunglass", |
|
|
"sunglasses", |
|
|
"sunscreen", |
|
|
"suspension bridge", |
|
|
"swab", |
|
|
"sweatshirt", |
|
|
"swimming trunks", |
|
|
"swing", |
|
|
"switch", |
|
|
"syringe", |
|
|
"table lamp", |
|
|
"tank", |
|
|
"tape player", |
|
|
"teapot", |
|
|
"teddy", |
|
|
"television", |
|
|
"tennis ball", |
|
|
"thatch", |
|
|
"theater curtain", |
|
|
"thimble", |
|
|
"thresher", |
|
|
"throne", |
|
|
"tile roof", |
|
|
"toaster", |
|
|
"tobacco shop", |
|
|
"toilet seat", |
|
|
"torch", |
|
|
"totem pole", |
|
|
"tow truck", |
|
|
"toyshop", |
|
|
"tractor", |
|
|
"trailer truck", |
|
|
"tray", |
|
|
"trench coat", |
|
|
"tricycle", |
|
|
"trimaran", |
|
|
"tripod", |
|
|
"triumphal arch", |
|
|
"trolleybus", |
|
|
"trombone", |
|
|
"tub", |
|
|
"turnstile", |
|
|
"typewriter keyboard", |
|
|
"umbrella", |
|
|
"unicycle", |
|
|
"upright", |
|
|
"vacuum", |
|
|
"vase", |
|
|
"vault", |
|
|
"velvet", |
|
|
"vending machine", |
|
|
"vestment", |
|
|
"viaduct", |
|
|
"violin", |
|
|
"volleyball", |
|
|
"waffle iron", |
|
|
"wall clock", |
|
|
"wallet", |
|
|
"wardrobe", |
|
|
"warplane", |
|
|
"washbasin", |
|
|
"washer", |
|
|
"water bottle", |
|
|
"water jug", |
|
|
"water tower", |
|
|
"whiskey jug", |
|
|
"whistle", |
|
|
"wig", |
|
|
"window screen", |
|
|
"window shade", |
|
|
"Windsor tie", |
|
|
"wine bottle", |
|
|
"wing", |
|
|
"wok", |
|
|
"wooden spoon", |
|
|
"wool", |
|
|
"worm fence", |
|
|
"wreck", |
|
|
"yawl", |
|
|
"yurt", |
|
|
"web site", |
|
|
"comic book", |
|
|
"crossword puzzle", |
|
|
"street sign", |
|
|
"traffic light", |
|
|
"book jacket", |
|
|
"menu", |
|
|
"plate", |
|
|
"guacamole", |
|
|
"consomme", |
|
|
"hot pot", |
|
|
"trifle", |
|
|
"ice cream", |
|
|
"ice lolly", |
|
|
"French loaf", |
|
|
"bagel", |
|
|
"pretzel", |
|
|
"cheeseburger", |
|
|
"hotdog", |
|
|
"mashed potato", |
|
|
"head cabbage", |
|
|
"broccoli", |
|
|
"cauliflower", |
|
|
"zucchini", |
|
|
"spaghetti squash", |
|
|
"acorn squash", |
|
|
"butternut squash", |
|
|
"cucumber", |
|
|
"artichoke", |
|
|
"bell pepper", |
|
|
"cardoon", |
|
|
"mushroom", |
|
|
"Granny Smith", |
|
|
"strawberry", |
|
|
"orange", |
|
|
"lemon", |
|
|
"fig", |
|
|
"pineapple", |
|
|
"banana", |
|
|
"jackfruit", |
|
|
"custard apple", |
|
|
"pomegranate", |
|
|
"hay", |
|
|
"carbonara", |
|
|
"chocolate sauce", |
|
|
"dough", |
|
|
"meatloaf", |
|
|
"pizza", |
|
|
"potpie", |
|
|
"burrito", |
|
|
"red wine", |
|
|
"espresso", |
|
|
"cup", |
|
|
"eggnog", |
|
|
"alp", |
|
|
"bubble", |
|
|
"cliff", |
|
|
"coral reef", |
|
|
"geyser", |
|
|
"lakeside", |
|
|
"promontory", |
|
|
"sandbar", |
|
|
"seashore", |
|
|
"valley", |
|
|
"volcano", |
|
|
"ballplayer", |
|
|
"groom", |
|
|
"scuba diver", |
|
|
"rapeseed", |
|
|
"daisy", |
|
|
"yellow lady's slipper", |
|
|
"corn", |
|
|
"acorn", |
|
|
"hip", |
|
|
"buckeye", |
|
|
"coral fungus", |
|
|
"agaric", |
|
|
"gyromitra", |
|
|
"stinkhorn", |
|
|
"earthstar", |
|
|
"hen-of-the-woods", |
|
|
"bolete", |
|
|
"ear", |
|
|
"toilet tissue" |
|
|
}; |
|
|
|
