From 0670125bb551be71db9775df08de471e82c0540e Mon Sep 17 00:00:00 2001 From: almilosz Date: Mon, 18 Sep 2023 15:28:29 +0200 Subject: [PATCH 1/8] Remove images --- samples/js/assets/images/coco.jpg | 3 --- samples/js/assets/images/empty_road_mapillary.jpg | 3 --- samples/js/assets/images/intel_rnb.jpg | 3 --- samples/js/node/classification_sample_async/README.md | 2 +- samples/js/node/hello_classification/README.md | 2 +- samples/js/node/hello_reshape_ssd/README.md | 2 +- 6 files changed, 3 insertions(+), 12 deletions(-) delete mode 100644 samples/js/assets/images/coco.jpg delete mode 100644 samples/js/assets/images/empty_road_mapillary.jpg delete mode 100644 samples/js/assets/images/intel_rnb.jpg diff --git a/samples/js/assets/images/coco.jpg b/samples/js/assets/images/coco.jpg deleted file mode 100644 index b8dd91d85edd13..00000000000000 --- a/samples/js/assets/images/coco.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7323b3ed7510c5b96476d3d5e9828d2a7da177b122927ab9cbb4c211c111e895 -size 206576 diff --git a/samples/js/assets/images/empty_road_mapillary.jpg b/samples/js/assets/images/empty_road_mapillary.jpg deleted file mode 100644 index d70fd6d2c6ae80..00000000000000 --- a/samples/js/assets/images/empty_road_mapillary.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ec0e37f215d67b29d0240869fef97afbb595341efe132c420b851c4cfd9b60cd -size 232468 diff --git a/samples/js/assets/images/intel_rnb.jpg b/samples/js/assets/images/intel_rnb.jpg deleted file mode 100644 index 9c75264e0b46eb..00000000000000 --- a/samples/js/assets/images/intel_rnb.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e3dcc3967b3ee971d71c383f0ffd683e43618173652c2e626dce324394d8a38d -size 294993 diff --git a/samples/js/node/classification_sample_async/README.md b/samples/js/node/classification_sample_async/README.md index b4af3edbfad4bf..0461986052c240 100644 --- a/samples/js/node/classification_sample_async/README.md +++ b/samples/js/node/classification_sample_async/README.md @@ -3,6 +3,6 @@ Models with only 1 input and output are supported. Run: -`node classification_sample_async.js -m *path_to_model_file* -i ../../assets/images/coco.jpg -i ../../assets/images/intel_rnb.jpg -d AUTO` +`node classification_sample_async.js -m *path_to_model_file* -i *path_to_img* -i *path_to_img* -d AUTO` Other details see in /samples/python/classification_sample_async/README.md diff --git a/samples/js/node/hello_classification/README.md b/samples/js/node/hello_classification/README.md index c1065caeea532c..f300d848e87e01 100644 --- a/samples/js/node/hello_classification/README.md +++ b/samples/js/node/hello_classification/README.md @@ -3,6 +3,6 @@ Models with only 1 input and output are supported. Run: -`node hello_classification.js *path_to_model_file* ../../assets/images/coco.jpg AUTO` +`node hello_classification.js *path_to_model_file* *path_to_img* AUTO` Other details see in /samples/python/hello_classification/README.md diff --git a/samples/js/node/hello_reshape_ssd/README.md b/samples/js/node/hello_reshape_ssd/README.md index 2861f54b656a0a..41bef928bf434d 100644 --- a/samples/js/node/hello_reshape_ssd/README.md +++ b/samples/js/node/hello_reshape_ssd/README.md @@ -3,6 +3,6 @@ Models with only 1 input and output are supported. Run: -`node hello_reshape_ssd.js *path_to_model_file* ../../assets/images/intel_rnb AUTO` +`node hello_reshape_ssd.js *path_to_model_file* *path_to_img* AUTO` Other details see in /samples/python/hello_reshape_ssd/README.md From 84ae5f373145bf8338d963e5ba2ecee85bc259a6 Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 15:58:24 +0200 Subject: [PATCH 2/8] Download static images in notebooks --- samples/js/assets/images/.gitignore | 2 ++ samples/js/node/notebooks/001-hello-world.nnb | 27 +++++++++++++++ .../node/notebooks/003-hello-segmentation.nnb | 34 +++++++++++++++++++ .../js/node/notebooks/004-hello-detection.nnb | 27 +++++++++++++++ 4 files changed, 90 insertions(+) create mode 100644 samples/js/assets/images/.gitignore diff --git a/samples/js/assets/images/.gitignore b/samples/js/assets/images/.gitignore new file mode 100644 index 00000000000000..d6b7ef32c8478a --- /dev/null +++ b/samples/js/assets/images/.gitignore @@ -0,0 +1,2 @@ +* +!.gitignore diff --git a/samples/js/node/notebooks/001-hello-world.nnb b/samples/js/node/notebooks/001-hello-world.nnb index e85dc52bb58df8..00d9866f1d9574 100644 --- a/samples/js/node/notebooks/001-hello-world.nnb +++ b/samples/js/node/notebooks/001-hello-world.nnb @@ -49,6 +49,33 @@ } ] }, + { + "language": "markdown", + "source": [ + "## Download an Image" + ], + "outputs": [] + }, + { + "language": "javascript", + "source": [ + "const baseImagesDir = '../../assets/images';\nconst imgUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco.jpg';\n\nawait downloadFile(imgUrl, 'coco.jpg', baseImagesDir);" + ], + "outputs": [ + { + "items": [ + { + "mime": "application/vnd.code.notebook.stdout", + "value": [ + "Proxy agent configured using: 'http://proxy-mu.intel.com:911'", + "File successfully stored at '/home/nvishnya/Code/wasm-openvino/samples/js/assets/images/coco.jpg'", + "" + ] + } + ] + } + ] + }, { "language": "markdown", "source": [ diff --git a/samples/js/node/notebooks/003-hello-segmentation.nnb b/samples/js/node/notebooks/003-hello-segmentation.nnb index 675a38f2263d1f..c361e7387508bb 100644 --- a/samples/js/node/notebooks/003-hello-segmentation.nnb +++ b/samples/js/node/notebooks/003-hello-segmentation.nnb @@ -21,6 +21,13 @@ ], "outputs": [] }, + { + "language": "markdown", + "source": [ + "## Download the Model" + ], + "outputs": [] + }, { "language": "typescript", "source": [ @@ -42,6 +49,33 @@ } ] }, + { + "language": "markdown", + "source": [ + "## Download an Image" + ], + "outputs": [] + }, + { + "language": "typescript", + "source": [ + "const baseImagesDir = '../../assets/images';\nconst imgUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/empty_road_mapillary.jpg';\n\nawait downloadFile(imgUrl, 'empty_road_mapillary.jpg', baseImagesDir);" + ], + "outputs": [ + { + "items": [ + { + "mime": "application/vnd.code.notebook.stdout", + "value": [ + "Proxy agent configured using: 'http://proxy-mu.intel.com:911'", + "File successfully stored at '/home/nvishnya/Code/wasm-openvino/samples/js/assets/images/empty_road_mapillary.jpg'", + "" + ] + } + ] + } + ] + }, { "language": "markdown", "source": [ diff --git a/samples/js/node/notebooks/004-hello-detection.nnb b/samples/js/node/notebooks/004-hello-detection.nnb index ba244e1aaa8304..1d720aad162e8a 100644 --- a/samples/js/node/notebooks/004-hello-detection.nnb +++ b/samples/js/node/notebooks/004-hello-detection.nnb @@ -49,6 +49,33 @@ } ] }, + { + "language": "markdown", + "source": [ + "## Download an Image" + ], + "outputs": [] + }, + { + "language": "typescript", + "source": [ + "const baseImagesDir = '../../assets/images';\nconst imgUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/intel_rnb.jpg';\n\nawait downloadFile(imgUrl, 'intel_rnb.jpg', baseImagesDir);" + ], + "outputs": [ + { + "items": [ + { + "mime": "application/vnd.code.notebook.stdout", + "value": [ + "Proxy agent configured using: 'http://proxy-mu.intel.com:911'", + "File successfully stored at '/home/nvishnya/Code/wasm-openvino/samples/js/assets/images/intel_rnb.jpg'", + "" + ] + } + ] + } + ] + }, { "language": "markdown", "source": [ From 8580fc69bbcce6cfd78612f9bbcd618791ee2749 Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 15:58:53 +0200 Subject: [PATCH 3/8] Fix README.md --- samples/js/node/classification_sample_async/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/js/node/classification_sample_async/README.md b/samples/js/node/classification_sample_async/README.md index 0461986052c240..209eeaa5828ab4 100644 --- a/samples/js/node/classification_sample_async/README.md +++ b/samples/js/node/classification_sample_async/README.md @@ -3,6 +3,6 @@ Models with only 1 input and output are supported. Run: -`node classification_sample_async.js -m *path_to_model_file* -i *path_to_img* -i *path_to_img* -d AUTO` +`node classification_sample_async.js -m *path_to_model_file* -i *path_to_img1* -i *path_to_img2* -d AUTO` Other details see in /samples/python/classification_sample_async/README.md From 7c622ef9d7d4504333e373647024e138e9ce7222 Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 15:59:12 +0200 Subject: [PATCH 4/8] Fix nlp notebook --- samples/js/node/notebooks/213-question-answering.nnb | 8 +------- samples/js/node/notebooks/tokens_bert.js | 2 +- 2 files changed, 2 insertions(+), 8 deletions(-) diff --git a/samples/js/node/notebooks/213-question-answering.nnb b/samples/js/node/notebooks/213-question-answering.nnb index 5873454041fe06..8739517b62a595 100644 --- a/samples/js/node/notebooks/213-question-answering.nnb +++ b/samples/js/node/notebooks/213-question-answering.nnb @@ -77,10 +77,6 @@ "=== Model Inputs:", "input_ids", "attention_mask", - "token_type_ids", - "position_ids", - "=== Model Outputs:", - "output_s", "output_e", "" ] @@ -185,9 +181,7 @@ "mime": "application/vnd.code.notebook.stdout", "value": [ "Context: Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. A computational problem is understood to be a task that is in principle amenable to being solved by a computer, which is equivalent to stating that the problem may be solved by mechanical application of mathematical steps, such as an algorithm.", - "Answer: A computational problem", - "Score: 0.5286847737759395", - "Time: 0.059583751s", + "Time: 0.052566626s", "" ] } diff --git a/samples/js/node/notebooks/tokens_bert.js b/samples/js/node/notebooks/tokens_bert.js index 305cc54fa85cb5..10dc250abe8e51 100644 --- a/samples/js/node/notebooks/tokens_bert.js +++ b/samples/js/node/notebooks/tokens_bert.js @@ -9,7 +9,7 @@ exports.loadVocabFile = loadVocabFile; // Load vocabulary file for encoding async function loadVocabFile(vocabFileName) { const vocab = {}; - const lines = await fs.readFileSync(vocabFileName, 'utf-8').split('\n'); + const lines = (await fs.readFile(vocabFileName, 'utf-8')).split('\n'); lines.forEach((line, index) => { const token = line.trim(); From 96f85f9fb7769dde9e1d384d4644946e3bda009a Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 16:16:11 +0200 Subject: [PATCH 5/8] Remove vocab.txt --- samples/js/assets/text/.gitignore | 2 + samples/js/assets/text/vocab.txt | 30522 ---------------- .../node/notebooks/213-question-answering.nnb | 44 +- 3 files changed, 41 insertions(+), 30527 deletions(-) create mode 100644 samples/js/assets/text/.gitignore delete mode 100644 samples/js/assets/text/vocab.txt diff --git a/samples/js/assets/text/.gitignore b/samples/js/assets/text/.gitignore new file mode 100644 index 00000000000000..d6b7ef32c8478a --- /dev/null +++ b/samples/js/assets/text/.gitignore @@ -0,0 +1,2 @@ +* +!.gitignore diff --git a/samples/js/assets/text/vocab.txt b/samples/js/assets/text/vocab.txt deleted file mode 100644 index fb140275c155a9..00000000000000 --- a/samples/js/assets/text/vocab.txt +++ /dev/null @@ -1,30522 +0,0 @@ -[PAD] -[unused0] -[unused1] -[unused2] -[unused3] -[unused4] -[unused5] 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-##的 -##皇 -##目 -##相 -##省 -##真 -##石 -##示 -##社 -##神 -##福 -##禾 -##秀 -##秋 -##空 -##立 -##章 -##竹 -##糹 -##美 -##義 -##耳 -##良 -##艹 -##花 -##英 -##華 -##葉 -##藤 -##行 -##街 -##西 -##見 -##訁 -##語 -##谷 -##貝 -##貴 -##車 -##軍 -##辶 -##道 -##郎 -##郡 -##部 -##都 -##里 -##野 -##金 -##鈴 -##镇 -##長 -##門 -##間 -##阝 -##阿 -##陳 -##陽 -##雄 -##青 -##面 -##風 -##食 -##香 -##馬 -##高 -##龍 -##龸 -##fi -##fl -##! -##( -##) -##, -##- -##. -##/ -##: -##? -##~ diff --git a/samples/js/node/notebooks/213-question-answering.nnb b/samples/js/node/notebooks/213-question-answering.nnb index 8739517b62a595..d0d5a06ab35996 100644 --- a/samples/js/node/notebooks/213-question-answering.nnb +++ b/samples/js/node/notebooks/213-question-answering.nnb @@ -52,7 +52,34 @@ { "language": "markdown", "source": [ - "### Load the model\n\nDownloaded models are located in a fixed structure, which indicates a vendor, a model name and a precision. Only a few lines of code are required to run the model. First, create an OpenVINO Runtime object. Then, read the network architecture and model weights from the `.xml` and `.bin` files. Finally, compile the network for the desired device." + "## Download the Vocab" + ], + "outputs": [] + }, + { + "language": "typescript", + "source": [ + "const baseImagesDir = '../../assets/text';\nconst imgUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/text/bert-uncased/vocab.txt';\n\nawait downloadFile(imgUrl, 'vocab.txt', baseImagesDir);" + ], + "outputs": [ + { + "items": [ + { + "mime": "application/vnd.code.notebook.stdout", + "value": [ + "Proxy agent configured using: 'http://proxy-mu.intel.com:911'", + "File successfully stored at '/home/nvishnya/Code/wasm-openvino/samples/js/assets/text/vocab.txt'", + "" + ] + } + ] + } + ] + }, + { + "language": "markdown", + "source": [ + "## Load the model\n\nDownloaded models are located in a fixed structure, which indicates a vendor, a model name and a precision. Only a few lines of code are required to run the model. First, create an OpenVINO Runtime object. Then, read the network architecture and model weights from the `.xml` and `.bin` files. Finally, compile the network for the desired device." ], "outputs": [] }, @@ -77,6 +104,10 @@ "=== Model Inputs:", "input_ids", "attention_mask", + "token_type_ids", + "position_ids", + "=== Model Outputs:", + "output_s", "output_e", "" ] @@ -102,7 +133,7 @@ { "language": "markdown", "source": [ - "### Preprocessing\n\nThe input size in this case is 384 tokens long. The main input (`input_ids`) to used BERT model consists of two parts: question tokens and context tokens separated by some special tokens. \n\nIf `question + context` are shorter than 384 tokens, padding tokens are added. If `question + context` is longer than 384 tokens, the context must be split into parts and the question with different parts of context must be fed to the network many times. \n\nUse overlapping, so neighbor parts of the context are overlapped by half size of the context part (if the context part equals 300 tokens, neighbor context parts overlap with 150 tokens). You also need to provide the following sequences of integer values: \n\n- `attention_mask` - a sequence of integer values representing the mask of valid values in the input. \n- `token_type_ids` - a sequence of integer values representing the segmentation of `input_ids` into question and context. \n- `position_ids` - a sequence of integer values from 0 to 383 representing the position index for each input token. \n\nFor more information, refer to the **Input** section of [BERT model documentation](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/intel/bert-small-uncased-whole-word-masking-squad-int8-0002#input)." + "## Preprocessing\n\nThe input size in this case is 384 tokens long. The main input (`input_ids`) to used BERT model consists of two parts: question tokens and context tokens separated by some special tokens. \n\nIf `question + context` are shorter than 384 tokens, padding tokens are added. If `question + context` is longer than 384 tokens, the context must be split into parts and the question with different parts of context must be fed to the network many times. \n\nUse overlapping, so neighbor parts of the context are overlapped by half size of the context part (if the context part equals 300 tokens, neighbor context parts overlap with 150 tokens). You also need to provide the following sequences of integer values: \n\n- `attention_mask` - a sequence of integer values representing the mask of valid values in the input. \n- `token_type_ids` - a sequence of integer values representing the segmentation of `input_ids` into question and context. \n- `position_ids` - a sequence of integer values from 0 to 383 representing the position index for each input token. \n\nFor more information, refer to the **Input** section of [BERT model documentation](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/intel/bert-small-uncased-whole-word-masking-squad-int8-0002#input)." ], "outputs": [] }, @@ -144,7 +175,7 @@ { "language": "markdown", "source": [ - "### Postprocessing\n\nThe results from the network are raw (logits). Use the softmax function to get the probability distribution. Then, find the best answer in the current part of the context (the highest score) and return the score and the context range for the answer." + "## Postprocessing\n\nThe results from the network are raw (logits). Use the softmax function to get the probability distribution. Then, find the best answer in the current part of the context (the highest score) and return the score and the context range for the answer." ], "outputs": [] }, @@ -165,7 +196,7 @@ { "language": "markdown", "source": [ - "### Main Processing Function\n\nRun question answering on a specific knowledge base (websites) and iterate through the questions. \n" + "## Main Processing Function\n\nRun question answering on a specific knowledge base (websites) and iterate through the questions. \n" ], "outputs": [] }, @@ -181,7 +212,10 @@ "mime": "application/vnd.code.notebook.stdout", "value": [ "Context: Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. A computational problem is understood to be a task that is in principle amenable to being solved by a computer, which is equivalent to stating that the problem may be solved by mechanical application of mathematical steps, such as an algorithm.", - "Time: 0.052566626s", + "Question: What is the term for a task that generally lends itself to being solved by a computer?", + "Answer: A computational problem", + "Score: 0.5286847737759395", + "Time: 0.057738834s", "" ] } From 009ce05e26d1f1fd219b64a06622bc16e7a667ff Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 16:29:39 +0200 Subject: [PATCH 6/8] Remove class mapping from assets --- samples/js/assets/datasets/.gitignore | 2 + samples/js/assets/imagenet_classes_map.json | 1003 ---------------- samples/js/node/notebooks/001-hello-world.nnb | 1012 ++++++++++++++++- 3 files changed, 1009 insertions(+), 1008 deletions(-) create mode 100644 samples/js/assets/datasets/.gitignore delete mode 100644 samples/js/assets/imagenet_classes_map.json diff --git a/samples/js/assets/datasets/.gitignore b/samples/js/assets/datasets/.gitignore new file mode 100644 index 00000000000000..d6b7ef32c8478a --- /dev/null +++ b/samples/js/assets/datasets/.gitignore @@ -0,0 +1,2 @@ +* +!.gitignore diff --git a/samples/js/assets/imagenet_classes_map.json b/samples/js/assets/imagenet_classes_map.json deleted file mode 100644 index 1fdcf95c89f41d..00000000000000 --- a/samples/js/assets/imagenet_classes_map.json +++ /dev/null @@ -1,1003 +0,0 @@ -[ - "background", - "tench, Tinca tinca", - "goldfish, Carassius auratus", - "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", - "tiger shark, Galeocerdo cuvieri", - "hammerhead, hammerhead shark", - "electric ray, crampfish, numbfish, torpedo", - "stingray", - "cock", - "hen", - "ostrich, Struthio camelus", - "brambling, Fringilla montifringilla", - "goldfinch, Carduelis carduelis", - "house finch, linnet, Carpodacus mexicanus", - "junco, snowbird", - "indigo bunting, indigo finch, indigo bird, Passerina cyanea", - "robin, American robin, Turdus migratorius", - "bulbul", - "jay", - "magpie", - "chickadee", - "water ouzel, dipper", - "kite", - "bald eagle, American eagle, Haliaeetus leucocephalus", - "vulture", - "great grey owl, great gray owl, Strix nebulosa", - "European fire salamander, Salamandra salamandra", - "common newt, Triturus vulgaris", - "eft", - "spotted salamander, Ambystoma maculatum", - "axolotl, mud puppy, Ambystoma mexicanum", - "bullfrog, Rana catesbeiana", - "tree frog, tree-frog", - "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", - "loggerhead, loggerhead turtle, Caretta caretta", - "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", - "mud turtle", - "terrapin", - "box turtle, box tortoise", - "banded gecko", - "common iguana, iguana, Iguana iguana", - "American chameleon, anole, Anolis carolinensis", - "whiptail, whiptail lizard", - "agama", - "frilled lizard, Chlamydosaurus kingi", - "alligator lizard", - "Gila monster, Heloderma suspectum", - "green lizard, Lacerta viridis", - "African chameleon, Chamaeleo chamaeleon", - "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", - "African crocodile, Nile crocodile, Crocodylus niloticus", - "American alligator, Alligator mississipiensis", - "triceratops", - "thunder snake, worm snake, Carphophis amoenus", - "ringneck snake, ring-necked snake, ring snake", - "hognose snake, puff adder, sand viper", - "green snake, grass snake", - "king snake, kingsnake", - "garter snake, grass snake", - "water snake", - "vine snake", - "night snake, Hypsiglena torquata", - "boa constrictor, Constrictor constrictor", - "rock python, rock snake, Python sebae", - "Indian cobra, Naja naja", - "green mamba", - "sea snake", - "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", - "diamondback, diamondback rattlesnake, Crotalus adamanteus", - "sidewinder, horned rattlesnake, Crotalus cerastes", - "trilobite", - "harvestman, daddy longlegs, Phalangium opilio", - "scorpion", - "black and gold garden spider, Argiope aurantia", - "barn spider, Araneus cavaticus", - "garden spider, Aranea diademata", - "black widow, Latrodectus mactans", - "tarantula", - "wolf spider, hunting spider", - "tick", - "centipede", - "black grouse", - "ptarmigan", - "ruffed grouse, partridge, Bonasa umbellus", - "prairie chicken, prairie grouse, prairie fowl", - "peacock", - "quail", - "partridge", - "African grey, African gray, Psittacus erithacus", - "macaw", - "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", - "lorikeet", - "coucal", - "bee eater", - "hornbill", - "hummingbird", - "jacamar", - "toucan", - "drake", - "red-breasted merganser, Mergus serrator", - "goose", - "black swan, Cygnus atratus", - "tusker", - "echidna, spiny anteater, anteater", - "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", - "wallaby, brush kangaroo", - "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", - "wombat", - "jellyfish", - "sea anemone, anemone", - "brain coral", - "flatworm, platyhelminth", - "nematode, nematode worm, roundworm", - "conch", - "snail", - "slug", - "sea slug, nudibranch", - "chiton, coat-of-mail shell, sea cradle, polyplacophore", - "chambered nautilus, pearly nautilus, nautilus", - "Dungeness crab, Cancer magister", - "rock crab, Cancer irroratus", - "fiddler crab", - "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", - "American lobster, Northern lobster, Maine lobster, Homarus americanus", - "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", - "crayfish, crawfish, crawdad, crawdaddy", - "hermit crab", - "isopod", - "white stork, Ciconia ciconia", - "black stork, Ciconia nigra", - "spoonbill", - "flamingo", - "little blue heron, Egretta caerulea", - "American egret, great white heron, Egretta albus", - "bittern", - "crane", - "limpkin, Aramus pictus", - "European gallinule, Porphyrio porphyrio", - "American coot, marsh hen, mud hen, water hen, Fulica americana", - "bustard", - "ruddy turnstone, Arenaria interpres", - "red-backed sandpiper, dunlin, Erolia alpina", - "redshank, Tringa totanus", - "dowitcher", - "oystercatcher, oyster catcher", - "pelican", - "king penguin, Aptenodytes patagonica", - "albatross, mollymawk", - "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", - "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", - "dugong, Dugong dugon", - "sea lion", - "Chihuahua", - "Japanese spaniel", - "Maltese dog, Maltese terrier, Maltese", - "Pekinese, Pekingese, Peke", - "Shih-Tzu", - "Blenheim spaniel", - "papillon", - "toy terrier", - "Rhodesian ridgeback", - "Afghan hound, Afghan", - "basset, basset hound", - "beagle", - "bloodhound, sleuthhound", - "bluetick", - "black-and-tan coonhound", - "Walker hound, Walker foxhound", - "English foxhound", - "redbone", - "borzoi, Russian wolfhound", - "Irish wolfhound", - "Italian greyhound", - "whippet", - "Ibizan hound, Ibizan Podenco", - "Norwegian elkhound, elkhound", - "otterhound, otter hound", - "Saluki, gazelle hound", - "Scottish deerhound, deerhound", - "Weimaraner", - "Staffordshire bullterrier, Staffordshire bull terrier", - "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", - "Bedlington terrier", - "Border terrier", - "Kerry blue terrier", - "Irish terrier", - "Norfolk terrier", - "Norwich terrier", - "Yorkshire terrier", - "wire-haired fox terrier", - "Lakeland terrier", - "Sealyham terrier, Sealyham", - "Airedale, Airedale terrier", - "cairn, cairn terrier", - "Australian terrier", - "Dandie Dinmont, Dandie Dinmont terrier", - "Boston bull, Boston terrier", - "miniature schnauzer", - "giant schnauzer", - "standard schnauzer", - "Scotch terrier, Scottish terrier, Scottie", - "Tibetan terrier, chrysanthemum dog", - "silky terrier, Sydney silky", - "soft-coated wheaten terrier", - "West Highland white terrier", - "Lhasa, Lhasa apso", - "flat-coated retriever", - "curly-coated retriever", - "golden retriever", - "Labrador retriever", - "Chesapeake Bay retriever", - "German short-haired pointer", - "vizsla, Hungarian pointer", - "English setter", - "Irish setter, red setter", - "Gordon setter", - "Brittany spaniel", - "clumber, clumber spaniel", - "English springer, English springer spaniel", - "Welsh springer spaniel", - "cocker spaniel, English cocker spaniel, cocker", - "Sussex spaniel", - "Irish water spaniel", - "kuvasz", - "schipperke", - "groenendael", - "malinois", - "briard", - "kelpie", - "komondor", - "Old English sheepdog, bobtail", - "Shetland sheepdog, Shetland sheep dog, Shetland", - "collie", - "Border collie", - "Bouvier des Flandres, Bouviers des Flandres", - "Rottweiler", - "German shepherd, German shepherd dog, German police dog, alsatian", - "Doberman, Doberman pinscher", - "miniature pinscher", - "Greater Swiss Mountain dog", - "Bernese mountain dog", - "Appenzeller", - "EntleBucher", - "boxer", - "bull mastiff", - "Tibetan mastiff", - "French bulldog", - "Great Dane", - "Saint Bernard, St Bernard", - "Eskimo dog, husky", - "malamute, malemute, Alaskan malamute", - "Siberian husky", - "dalmatian, coach dog, carriage dog", - "affenpinscher, monkey pinscher, monkey dog", - "basenji", - "pug, pug-dog", - "Leonberg", - "Newfoundland, Newfoundland dog", - "Great Pyrenees", - "Samoyed, Samoyede", - "Pomeranian", - "chow, chow chow", - "keeshond", - "Brabancon griffon", - "Pembroke, Pembroke Welsh corgi", - "Cardigan, Cardigan Welsh corgi", - "toy poodle", - "miniature poodle", - "standard poodle", - "Mexican hairless", - "timber wolf, grey wolf, gray wolf, Canis lupus", - "white wolf, Arctic wolf, Canis lupus tundrarum", - "red wolf, maned wolf, Canis rufus, Canis niger", - "coyote, prairie wolf, brush wolf, Canis latrans", - "dingo, warrigal, warragal, Canis dingo", - "dhole, Cuon alpinus", - "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", - "hyena, hyaena", - "red fox, Vulpes vulpes", - "kit fox, Vulpes macrotis", - "Arctic fox, white fox, Alopex lagopus", - "grey fox, gray fox, Urocyon cinereoargenteus", - "tabby, tabby cat", - "tiger cat", - "Persian cat", - "Siamese cat, Siamese", - "Egyptian cat", - "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", - "lynx, catamount", - "leopard, Panthera pardus", - "snow leopard, ounce, Panthera uncia", - "jaguar, panther, Panthera onca, Felis onca", - "lion, king of beasts, Panthera leo", - "tiger, Panthera tigris", - "cheetah, chetah, Acinonyx jubatus", - "brown bear, bruin, Ursus arctos", - "American black bear, black bear, Ursus americanus, Euarctos americanus", - "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", - "sloth bear, Melursus ursinus, Ursus ursinus", - "mongoose", - "meerkat, mierkat", - "tiger beetle", - "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", - "ground beetle, carabid beetle", - "long-horned beetle, longicorn, longicorn beetle", - "leaf beetle, chrysomelid", - "dung beetle", - "rhinoceros beetle", - "weevil", - "fly", - "bee", - "ant, emmet, pismire", - "grasshopper, hopper", - "cricket", - "walking stick, walkingstick, stick insect", - "cockroach, roach", - "mantis, mantid", - "cicada, cicala", - "leafhopper", - "lacewing, lacewing fly", - "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", - "damselfly", - "admiral", - "ringlet, ringlet butterfly", - "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", - "cabbage butterfly", - "sulphur butterfly, sulfur butterfly", - "lycaenid, lycaenid butterfly", - "starfish, sea star", - "sea urchin", - "sea cucumber, holothurian", - "wood rabbit, cottontail, cottontail rabbit", - "hare", - "Angora, Angora rabbit", - "hamster", - "porcupine, hedgehog", - "fox squirrel, eastern fox squirrel, Sciurus niger", - "marmot", - "beaver", - "guinea pig, Cavia cobaya", - "sorrel", - "zebra", - "hog, pig, grunter, squealer, Sus scrofa", - "wild boar, boar, Sus scrofa", - "warthog", - "hippopotamus, hippo, river horse, Hippopotamus amphibius", - "ox", - "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", - "bison", - "ram, tup", - "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", - "ibex, Capra ibex", - "hartebeest", - "impala, Aepyceros melampus", - "gazelle", - "Arabian camel, dromedary, Camelus dromedarius", - "llama", - "weasel", - "mink", - "polecat, fitch, foulmart, foumart, Mustela putorius", - "black-footed ferret, ferret, Mustela nigripes", - "otter", - "skunk, polecat, wood pussy", - "badger", - "armadillo", - "three-toed sloth, ai, Bradypus tridactylus", - "orangutan, orang, orangutang, Pongo pygmaeus", - "gorilla, Gorilla gorilla", - "chimpanzee, chimp, Pan troglodytes", - "gibbon, Hylobates lar", - "siamang, Hylobates syndactylus, Symphalangus syndactylus", - "guenon, guenon monkey", - "patas, hussar monkey, Erythrocebus patas", - "baboon", - "macaque", - "langur", - "colobus, colobus monkey", - "proboscis monkey, Nasalis larvatus", - "marmoset", - "capuchin, ringtail, Cebus capucinus", - "howler monkey, howler", - "titi, titi monkey", - "spider monkey, Ateles geoffroyi", - "squirrel monkey, Saimiri sciureus", - "Madagascar cat, ring-tailed lemur, Lemur catta", - "indri, indris, Indri indri, Indri brevicaudatus", - "Indian elephant, Elephas maximus", - "African elephant, Loxodonta africana", - "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", - "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", - "barracouta, snoek", - "eel", - "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", - "rock beauty, Holocanthus tricolor", - "anemone fish", - "sturgeon", - "gar, garfish, garpike, billfish, Lepisosteus osseus", - "lionfish", - "puffer, pufferfish, blowfish, globefish", - "abacus", - "abaya", - "academic gown, academic robe, judge's robe", - "accordion, piano accordion, squeeze box", - "acoustic guitar", - "aircraft carrier, carrier, flattop, attack aircraft carrier", - "airliner", - "airship, dirigible", - "altar", - "ambulance", - "amphibian, amphibious vehicle", - "analog clock", - "apiary, bee house", - "apron", - "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", - "assault rifle, assault gun", - "backpack, back pack, knapsack, packsack, rucksack, haversack", - "bakery, bakeshop, bakehouse", - "balance beam, beam", - "balloon", - "ballpoint, ballpoint pen, ballpen, Biro", - "Band Aid", - "banjo", - "bannister, banister, balustrade, balusters, handrail", - "barbell", - "barber chair", - "barbershop", - "barn", - "barometer", - "barrel, cask", - "barrow, garden cart, lawn cart, wheelbarrow", - "baseball", - "basketball", - "bassinet", - "bassoon", - "bathing cap, swimming cap", - "bath towel", - "bathtub, bathing tub, bath, tub", - "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", - "beacon, lighthouse, beacon light, pharos", - "beaker", - "bearskin, busby, shako", - "beer bottle", - "beer glass", - "bell cote, bell cot", - "bib", - "bicycle-built-for-two, tandem bicycle, tandem", - "bikini, two-piece", - "binder, ring-binder", - "binoculars, field glasses, opera glasses", - "birdhouse", - "boathouse", - "bobsled, bobsleigh, bob", - "bolo tie, bolo, bola tie, bola", - "bonnet, poke bonnet", - "bookcase", - "bookshop, bookstore, bookstall", - "bottlecap", - "bow", - "bow tie, bow-tie, bowtie", - "brass, memorial tablet, plaque", - "brassiere, bra, bandeau", - "breakwater, groin, groyne, mole, bulwark, seawall, jetty", - "breastplate, aegis, egis", - "broom", - "bucket, pail", - "buckle", - "bulletproof vest", - "bullet train, bullet", - "butcher shop, meat market", - "cab, hack, taxi, taxicab", - "caldron, cauldron", - "candle, taper, wax light", - "cannon", - "canoe", - "can opener, tin opener", - "cardigan", - "car mirror", - "carousel, carrousel, merry-go-round, roundabout, whirligig", - "carpenter's kit, tool kit", - "carton", - "car wheel", - "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", - "cassette", - "cassette player", - "castle", - "catamaran", - "CD player", - "cello, violoncello", - "cellular telephone, cellular phone, cellphone, cell, mobile phone", - "chain", - "chainlink fence", - "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", - "chain saw, chainsaw", - "chest", - "chiffonier, commode", - "chime, bell, gong", - "china cabinet, china closet", - "Christmas stocking", - "church, church building", - "cinema, movie theater, movie theatre, movie house, picture palace", - "cleaver, meat cleaver, chopper", - "cliff dwelling", - "cloak", - "clog, geta, patten, sabot", - "cocktail shaker", - "coffee mug", - "coffeepot", - "coil, spiral, volute, whorl, helix", - "combination lock", - "computer keyboard, keypad", - "confectionery, confectionary, candy store", - "container ship, containership, container vessel", - "convertible", - "corkscrew, bottle screw", - "cornet, horn, trumpet, trump", - "cowboy boot", - "cowboy hat, ten-gallon hat", - "cradle", - "crane", - "crash helmet", - "crate", - "crib, cot", - "Crock Pot", - "croquet ball", - "crutch", - "cuirass", - "dam, dike, dyke", - "desk", - "desktop computer", - "dial telephone, dial phone", - "diaper, nappy, napkin", - "digital clock", - "digital watch", - "dining table, board", - "dishrag, dishcloth", - "dishwasher, dish washer, dishwashing machine", - "disk brake, disc brake", - "dock, dockage, docking facility", - "dogsled, dog sled, dog sleigh", - "dome", - "doormat, welcome mat", - "drilling platform, offshore rig", - "drum, membranophone, tympan", - "drumstick", - "dumbbell", - "Dutch oven", - "electric fan, blower", - "electric guitar", - "electric locomotive", - "entertainment center", - "envelope", - "espresso maker", - "face powder", - "feather boa, boa", - "file, file cabinet, filing cabinet", - "fireboat", - "fire engine, fire truck", - "fire screen, fireguard", - "flagpole, flagstaff", - "flute, transverse flute", - "folding chair", - "football helmet", - "forklift", - "fountain", - "fountain pen", - "four-poster", - "freight car", - "French horn, horn", - "frying pan, frypan, skillet", - "fur coat", - "garbage truck, dustcart", - "gasmask, respirator, gas helmet", - "gas pump, gasoline pump, petrol pump, island dispenser", - "goblet", - "go-kart", - "golf ball", - "golfcart, golf cart", - "gondola", - "gong, tam-tam", - "gown", - "grand piano, grand", - "greenhouse, nursery, glasshouse", - "grille, radiator grille", - "grocery store, grocery, food market, market", - "guillotine", - "hair slide", - "hair spray", - "half track", - "hammer", - "hamper", - "hand blower, blow dryer, blow drier, hair dryer, hair drier", - "hand-held computer, hand-held microcomputer", - "handkerchief, hankie, hanky, hankey", - "hard disc, hard disk, fixed disk", - "harmonica, mouth organ, harp, mouth harp", - "harp", - "harvester, reaper", - "hatchet", - "holster", - "home theater, home theatre", - "honeycomb", - "hook, claw", - "hoopskirt, crinoline", - "horizontal bar, high bar", - "horse cart, horse-cart", - "hourglass", - "iPod", - "iron, smoothing iron", - "jack-o'-lantern", - "jean, blue jean, denim", - "jeep, landrover", - "jersey, T-shirt, tee shirt", - "jigsaw puzzle", - "jinrikisha, ricksha, rickshaw", - "joystick", - "kimono", - "knee pad", - "knot", - "lab coat, laboratory coat", - "ladle", - "lampshade, lamp shade", - "laptop, laptop computer", - "lawn mower, mower", - "lens cap, lens cover", - "letter opener, paper knife, paperknife", - "library", - "lifeboat", - "lighter, light, igniter, ignitor", - "limousine, limo", - "liner, ocean liner", - "lipstick, lip rouge", - "Loafer", - "lotion", - "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", - "loupe, jeweler's loupe", - "lumbermill, sawmill", - "magnetic compass", - "mailbag, postbag", - "mailbox, letter box", - "maillot", - "maillot, tank suit", - "manhole cover", - "maraca", - "marimba, xylophone", - "mask", - "matchstick", - "maypole", - "maze, labyrinth", - "measuring cup", - "medicine chest, medicine cabinet", - "megalith, megalithic structure", - "microphone, mike", - "microwave, microwave oven", - "military uniform", - "milk can", - "minibus", - "miniskirt, mini", - "minivan", - "missile", - "mitten", - "mixing bowl", - "mobile home, manufactured home", - "Model T", - "modem", - "monastery", - "monitor", - "moped", - "mortar", - "mortarboard", - "mosque", - "mosquito net", - "motor scooter, scooter", - "mountain bike, all-terrain bike, off-roader", - "mountain tent", - "mouse, computer mouse", - "mousetrap", - "moving van", - "muzzle", - "nail", - "neck brace", - "necklace", - "nipple", - "notebook, notebook computer", - "obelisk", - "oboe, hautboy, hautbois", - "ocarina, sweet potato", - "odometer, hodometer, mileometer, milometer", - "oil filter", - "organ, pipe organ", - "oscilloscope, scope, cathode-ray oscilloscope, CRO", - "overskirt", - "oxcart", - "oxygen mask", - "packet", - "paddle, boat paddle", - "paddlewheel, paddle wheel", - "padlock", - "paintbrush", - "pajama, pyjama, pj's, jammies", - "palace", - "panpipe, pandean pipe, syrinx", - "paper towel", - "parachute, chute", - "parallel bars, bars", - "park bench", - "parking meter", - "passenger car, coach, carriage", - "patio, terrace", - "pay-phone, pay-station", - "pedestal, plinth, footstall", - "pencil box, pencil case", - "pencil sharpener", - "perfume, essence", - "Petri dish", - "photocopier", - "pick, plectrum, plectron", - "pickelhaube", - "picket fence, paling", - "pickup, pickup truck", - "pier", - "piggy bank, penny bank", - "pill bottle", - "pillow", - "ping-pong ball", - "pinwheel", - "pirate, pirate ship", - "pitcher, ewer", - "plane, carpenter's plane, woodworking plane", - "planetarium", - "plastic bag", - "plate rack", - "plow, plough", - "plunger, plumber's helper", - "Polaroid camera, Polaroid Land camera", - "pole", - "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", - "poncho", - "pool table, billiard table, snooker table", - "pop bottle, soda bottle", - "pot, flowerpot", - "potter's wheel", - "power drill", - "prayer rug, prayer mat", - "printer", - "prison, prison house", - "projectile, missile", - "projector", - "puck, hockey puck", - "punching bag, punch bag, punching ball, punchball", - "purse", - "quill, quill pen", - "quilt, comforter, comfort, puff", - "racer, race car, racing car", - "racket, racquet", - "radiator", - "radio, wireless", - "radio telescope, radio reflector", - "rain barrel", - "recreational vehicle, RV, R.V.", - "reel", - "reflex camera", - "refrigerator, icebox", - "remote control, remote", - "restaurant, eating house, eating place, eatery", - "revolver, six-gun, six-shooter", - "rifle", - "rocking chair, rocker", - "rotisserie", - "rubber eraser, rubber, pencil eraser", - "rugby ball", - "rule, ruler", - "running shoe", - "safe", - "safety pin", - "saltshaker, salt shaker", - "sandal", - "sarong", - "sax, saxophone", - "scabbard", - "scale, weighing machine", - "school bus", - "schooner", - "scoreboard", - "screen, CRT screen", - "screw", - "screwdriver", - "seat belt, seatbelt", - "sewing machine", - "shield, buckler", - "shoe shop, shoe-shop, shoe store", - "shoji", - "shopping basket", - "shopping cart", - "shovel", - "shower cap", - "shower curtain", - "ski", - "ski mask", - "sleeping bag", - "slide rule, slipstick", - "sliding door", - "slot, one-armed bandit", - "snorkel", - "snowmobile", - "snowplow, snowplough", - "soap dispenser", - "soccer ball", - "sock", - "solar dish, solar collector, solar furnace", - "sombrero", - "soup bowl", - "space bar", - "space heater", - "space shuttle", - "spatula", - "speedboat", - "spider web, spider's web", - "spindle", - "sports car, sport car", - "spotlight, spot", - "stage", - "steam locomotive", - "steel arch bridge", - "steel drum", - "stethoscope", - "stole", - "stone wall", - "stopwatch, stop watch", - "stove", - "strainer", - "streetcar, tram, tramcar, trolley, trolley car", - "stretcher", - "studio couch, day bed", - "stupa, tope", - "submarine, pigboat, sub, U-boat", - "suit, suit of clothes", - "sundial", - "sunglass", - "sunglasses, dark glasses, shades", - "sunscreen, sunblock, sun blocker", - "suspension bridge", - "swab, swob, mop", - "sweatshirt", - "swimming trunks, bathing trunks", - "swing", - "switch, electric switch, electrical switch", - "syringe", - "table lamp", - "tank, army tank, armored combat vehicle, armoured combat vehicle", - "tape player", - "teapot", - "teddy, teddy bear", - "television, television system", - "tennis ball", - "thatch, thatched roof", - "theater curtain, theatre curtain", - "thimble", - "thresher, thrasher, threshing machine", - "throne", - "tile roof", - "toaster", - "tobacco shop, tobacconist shop, tobacconist", - "toilet seat", - "torch", - "totem pole", - "tow truck, tow car, wrecker", - "toyshop", - "tractor", - "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", - "tray", - "trench coat", - "tricycle, trike, velocipede", - "trimaran", - "tripod", - "triumphal arch", - "trolleybus, trolley coach, trackless trolley", - "trombone", - "tub, vat", - "turnstile", - "typewriter keyboard", - "umbrella", - "unicycle, monocycle", - "upright, upright piano", - "vacuum, vacuum cleaner", - "vase", - "vault", - "velvet", - "vending machine", - "vestment", - "viaduct", - "violin, fiddle", - "volleyball", - "waffle iron", - "wall clock", - "wallet, billfold, notecase, pocketbook", - "wardrobe, closet, press", - "warplane, military plane", - "washbasin, handbasin, washbowl, lavabo, wash-hand basin", - "washer, automatic washer, washing machine", - "water bottle", - "water jug", - "water tower", - "whiskey jug", - "whistle", - "wig", - "window screen", - "window shade", - "Windsor tie", - "wine bottle", - "wing", - "wok", - "wooden spoon", - "wool, woolen, woollen", - "worm fence, snake fence, snake-rail fence, Virginia fence", - "wreck", - "yawl", - "yurt", - "web site, website, internet site, site", - "comic book", - "crossword puzzle, crossword", - "street sign", - "traffic light, traffic signal, stoplight", - "book jacket, dust cover, dust jacket, dust wrapper", - "menu", - "plate", - "guacamole", - "consomme", - "hot pot, hotpot", - "trifle", - "ice cream, icecream", - "ice lolly, lolly, lollipop, popsicle", - "French loaf", - "bagel, beigel", - "pretzel", - "cheeseburger", - "hotdog, hot dog, red hot", - "mashed potato", - "head cabbage", - "broccoli", - "cauliflower", - "zucchini, courgette", - "spaghetti squash", - "acorn squash", - "butternut squash", - "cucumber, cuke", - "artichoke, globe artichoke", - "bell pepper", - "cardoon", - "mushroom", - "Granny Smith", - "strawberry", - "orange", - "lemon", - "fig", - "pineapple, ananas", - "banana", - "jackfruit, jak, jack", - "custard apple", - "pomegranate", - "hay", - "carbonara", - "chocolate sauce, chocolate syrup", - "dough", - "meat loaf, meatloaf", - "pizza, pizza pie", - "potpie", - "burrito", - "red wine", - "espresso", - "cup", - "eggnog", - "alp", - "bubble", - "cliff, drop, drop-off", - "coral reef", - "geyser", - "lakeside, lakeshore", - "promontory, headland, head, foreland", - "sandbar, sand bar", - "seashore, coast, seacoast, sea-coast", - "valley, vale", - "volcano", - "ballplayer, baseball player", - "groom, bridegroom", - "scuba diver", - "rapeseed", - "daisy", - "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", - "corn", - "acorn", - "hip, rose hip, rosehip", - "buckeye, horse chestnut, conker", - "coral fungus", - "agaric", - "gyromitra", - "stinkhorn, carrion fungus", - "earthstar", - "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", - "bolete", - "ear, spike, capitulum", - "toilet tissue, toilet paper, bathroom tissue" -] diff --git a/samples/js/node/notebooks/001-hello-world.nnb b/samples/js/node/notebooks/001-hello-world.nnb index 00d9866f1d9574..87479cd1d03e27 100644 --- a/samples/js/node/notebooks/001-hello-world.nnb +++ b/samples/js/node/notebooks/001-hello-world.nnb @@ -52,14 +52,14 @@ { "language": "markdown", "source": [ - "## Download an Image" + "## Download an Image and Imagenet Classes" ], "outputs": [] }, { "language": "javascript", "source": [ - "const baseImagesDir = '../../assets/images';\nconst imgUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco.jpg';\n\nawait downloadFile(imgUrl, 'coco.jpg', baseImagesDir);" + "const imgUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco.jpg';\nconst classesUrl = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/datasets/imagenet/imagenet_class_index.json';\n\nawait downloadFile(imgUrl, 'coco.jpg', '../../assets/images');\nawait downloadFile(classesUrl, 'imagenet_class_index.json', '../../assets/datasets');" ], "outputs": [ { @@ -68,7 +68,8 @@ "mime": "application/vnd.code.notebook.stdout", "value": [ "Proxy agent configured using: 'http://proxy-mu.intel.com:911'", - "File successfully stored at '/home/nvishnya/Code/wasm-openvino/samples/js/assets/images/coco.jpg'", + "Proxy agent configured using: 'http://proxy-mu.intel.com:911'", + "File successfully stored at '/home/nvishnya/Code/wasm-openvino/samples/js/assets/datasets/imagenet_class_index.json'", "" ] } @@ -144,7 +145,7 @@ { "language": "javascript", "source": [ - "const imagenetClassesMap = require('../../assets/imagenet_classes_map.json');\n\nconsole.log(`Result: ${imagenetClassesMap[resultIndex]}`);" + "const imagenetClassesMap = require('../../assets/datasets/imagenet_class_index.json');\n\nconsole.log(`Result: ${imagenetClassesMap[resultIndex][1]}`);" ], "outputs": [ { @@ -152,7 +153,1008 @@ { "mime": "application/vnd.code.notebook.stdout", "value": [ - "Result: flat-coated retriever", + "{", + " '0': [ 'n01440764', 'tench' ],", + " '1': [ 'n01443537', 'goldfish' ],", + " '2': [ 'n01484850', 'great_white_shark' ],", + " '3': [ 'n01491361', 'tiger_shark' ],", + " '4': [ 'n01494475', 'hammerhead' ],", + " '5': [ 'n01496331', 'electric_ray' ],", + " '6': [ 'n01498041', 'stingray' ],", + " '7': [ 'n01514668', 'cock' ],", + " '8': [ 'n01514859', 'hen' ],", + " '9': [ 'n01518878', 'ostrich' ],", + " '10': [ 'n01530575', 'brambling' ],", + " '11': [ 'n01531178', 'goldfinch' ],", + " '12': [ 'n01532829', 'house_finch' ],", + " '13': [ 'n01534433', 'junco' ],", + " '14': [ 'n01537544', 'indigo_bunting' ],", + " '15': [ 'n01558993', 'robin' ],", + " '16': [ 'n01560419', 'bulbul' ],", + " '17': [ 'n01580077', 'jay' ],", + " '18': [ 'n01582220', 'magpie' ],", + " '19': [ 'n01592084', 'chickadee' ],", + " '20': [ 'n01601694', 'water_ouzel' ],", + " '21': [ 'n01608432', 'kite' ],", + " '22': [ 'n01614925', 'bald_eagle' ],", + " '23': [ 'n01616318', 'vulture' ],", + " '24': [ 'n01622779', 'great_grey_owl' ],", + " '25': [ 'n01629819', 'European_fire_salamander' ],", + " '26': [ 'n01630670', 'common_newt' ],", + " '27': [ 'n01631663', 'eft' ],", + " '28': [ 'n01632458', 'spotted_salamander' ],", + " '29': [ 'n01632777', 'axolotl' ],", + " '30': [ 'n01641577', 'bullfrog' ],", + " '31': [ 'n01644373', 'tree_frog' ],", + " '32': [ 'n01644900', 'tailed_frog' ],", + " '33': [ 'n01664065', 'loggerhead' ],", + " '34': [ 'n01665541', 'leatherback_turtle' ],", + " '35': [ 'n01667114', 'mud_turtle' ],", + " '36': [ 'n01667778', 'terrapin' ],", + " '37': [ 'n01669191', 'box_turtle' ],", + " '38': [ 'n01675722', 'banded_gecko' ],", + " '39': [ 'n01677366', 'common_iguana' ],", + " '40': [ 'n01682714', 'American_chameleon' ],", + " '41': [ 'n01685808', 'whiptail' ],", + " '42': [ 'n01687978', 'agama' ],", + " '43': [ 'n01688243', 'frilled_lizard' ],", + " '44': [ 'n01689811', 'alligator_lizard' ],", + " '45': [ 'n01692333', 'Gila_monster' ],", + " '46': [ 'n01693334', 'green_lizard' ],", + " '47': [ 'n01694178', 'African_chameleon' ],", + " '48': [ 'n01695060', 'Komodo_dragon' ],", + " '49': [ 'n01697457', 'African_crocodile' ],", + " '50': [ 'n01698640', 'American_alligator' ],", + " '51': [ 'n01704323', 'triceratops' ],", + " '52': [ 'n01728572', 'thunder_snake' ],", + " '53': [ 'n01728920', 'ringneck_snake' ],", + " '54': [ 'n01729322', 'hognose_snake' ],", + " '55': [ 'n01729977', 'green_snake' ],", + " '56': [ 'n01734418', 'king_snake' ],", + " '57': [ 'n01735189', 'garter_snake' ],", + " '58': [ 'n01737021', 'water_snake' ],", + " '59': [ 'n01739381', 'vine_snake' ],", + " '60': [ 'n01740131', 'night_snake' ],", + " '61': [ 'n01742172', 'boa_constrictor' ],", + " '62': [ 'n01744401', 'rock_python' ],", + " '63': [ 'n01748264', 'Indian_cobra' ],", + " '64': [ 'n01749939', 'green_mamba' ],", + " '65': [ 'n01751748', 'sea_snake' ],", + " '66': [ 'n01753488', 'horned_viper' ],", + " '67': [ 'n01755581', 'diamondback' ],", + " '68': [ 'n01756291', 'sidewinder' ],", + " '69': [ 'n01768244', 'trilobite' ],", + " '70': [ 'n01770081', 'harvestman' ],", + " '71': [ 'n01770393', 'scorpion' ],", + " '72': [ 'n01773157', 'black_and_gold_garden_spider' ],", + " '73': [ 'n01773549', 'barn_spider' ],", + " '74': [ 'n01773797', 'garden_spider' ],", + " '75': [ 'n01774384', 'black_widow' ],", + " '76': [ 'n01774750', 'tarantula' ],", + " '77': [ 'n01775062', 'wolf_spider' ],", + " '78': [ 'n01776313', 'tick' ],", + " '79': [ 'n01784675', 'centipede' ],", + " '80': [ 'n01795545', 'black_grouse' ],", + " '81': [ 'n01796340', 'ptarmigan' ],", + " '82': [ 'n01797886', 'ruffed_grouse' ],", + " '83': [ 'n01798484', 'prairie_chicken' ],", + " '84': [ 'n01806143', 'peacock' ],", + " '85': [ 'n01806567', 'quail' ],", + " '86': [ 'n01807496', 'partridge' ],", + " '87': [ 'n01817953', 'African_grey' ],", + " '88': [ 'n01818515', 'macaw' ],", + " '89': [ 'n01819313', 'sulphur-crested_cockatoo' ],", + " '90': [ 'n01820546', 'lorikeet' ],", + " '91': [ 'n01824575', 'coucal' ],", + " '92': [ 'n01828970', 'bee_eater' ],", + " '93': [ 'n01829413', 'hornbill' ],", + " '94': [ 'n01833805', 'hummingbird' ],", + " '95': [ 'n01843065', 'jacamar' ],", + " '96': [ 'n01843383', 'toucan' ],", + " '97': [ 'n01847000', 'drake' ],", + " '98': [ 'n01855032', 'red-breasted_merganser' ],", + " '99': [ 'n01855672', 'goose' ],", + " '100': [ 'n01860187', 'black_swan' ],", + " '101': [ 'n01871265', 'tusker' ],", + " '102': [ 'n01872401', 'echidna' ],", + " '103': [ 'n01873310', 'platypus' ],", + " '104': [ 'n01877812', 'wallaby' ],", + " '105': [ 'n01882714', 'koala' ],", + " '106': [ 'n01883070', 'wombat' ],", + " '107': [ 'n01910747', 'jellyfish' ],", + " '108': [ 'n01914609', 'sea_anemone' ],", + " '109': [ 'n01917289', 'brain_coral' ],", + " '110': [ 'n01924916', 'flatworm' ],", + " '111': [ 'n01930112', 'nematode' ],", + " '112': [ 'n01943899', 'conch' ],", + " '113': [ 'n01944390', 'snail' ],", + " '114': [ 'n01945685', 'slug' ],", + " '115': [ 'n01950731', 'sea_slug' ],", + " '116': [ 'n01955084', 'chiton' ],", + " '117': [ 'n01968897', 'chambered_nautilus' ],", + " '118': [ 'n01978287', 'Dungeness_crab' ],", + " '119': [ 'n01978455', 'rock_crab' ],", + " '120': [ 'n01980166', 'fiddler_crab' ],", + " '121': [ 'n01981276', 'king_crab' ],", + " '122': [ 'n01983481', 'American_lobster' ],", + " '123': [ 'n01984695', 'spiny_lobster' ],", + " '124': [ 'n01985128', 'crayfish' ],", + " '125': [ 'n01986214', 'hermit_crab' ],", + " '126': [ 'n01990800', 'isopod' ],", + " '127': [ 'n02002556', 'white_stork' ],", + " '128': [ 'n02002724', 'black_stork' ],", + " '129': [ 'n02006656', 'spoonbill' ],", + " '130': [ 'n02007558', 'flamingo' ],", + " '131': [ 'n02009229', 'little_blue_heron' ],", + " '132': [ 'n02009912', 'American_egret' ],", + " '133': [ 'n02011460', 'bittern' ],", + " '134': [ 'n02012849', 'crane' ],", + " '135': [ 'n02013706', 'limpkin' ],", + " '136': [ 'n02017213', 'European_gallinule' ],", + " '137': [ 'n02018207', 'American_coot' ],", + " '138': [ 'n02018795', 'bustard' ],", + " '139': [ 'n02025239', 'ruddy_turnstone' ],", + " '140': [ 'n02027492', 'red-backed_sandpiper' ],", + " '141': [ 'n02028035', 'redshank' ],", + " '142': [ 'n02033041', 'dowitcher' ],", + " '143': [ 'n02037110', 'oystercatcher' ],", + " '144': [ 'n02051845', 'pelican' ],", + " '145': [ 'n02056570', 'king_penguin' ],", + " '146': [ 'n02058221', 'albatross' ],", + " '147': [ 'n02066245', 'grey_whale' ],", + " '148': [ 'n02071294', 'killer_whale' ],", + " '149': [ 'n02074367', 'dugong' ],", + " '150': [ 'n02077923', 'sea_lion' ],", + " '151': [ 'n02085620', 'Chihuahua' ],", + " '152': [ 'n02085782', 'Japanese_spaniel' ],", + " '153': [ 'n02085936', 'Maltese_dog' ],", + " '154': [ 'n02086079', 'Pekinese' ],", + " '155': [ 'n02086240', 'Shih-Tzu' ],", + " '156': [ 'n02086646', 'Blenheim_spaniel' ],", + " '157': [ 'n02086910', 'papillon' ],", + " '158': [ 'n02087046', 'toy_terrier' ],", + " '159': [ 'n02087394', 'Rhodesian_ridgeback' ],", + " '160': [ 'n02088094', 'Afghan_hound' ],", + " '161': [ 'n02088238', 'basset' ],", + " '162': [ 'n02088364', 'beagle' ],", + " '163': [ 'n02088466', 'bloodhound' ],", + " '164': [ 'n02088632', 'bluetick' ],", + " '165': [ 'n02089078', 'black-and-tan_coonhound' ],", + " '166': [ 'n02089867', 'Walker_hound' ],", + " '167': [ 'n02089973', 'English_foxhound' ],", + " '168': [ 'n02090379', 'redbone' ],", + " '169': [ 'n02090622', 'borzoi' ],", + " '170': [ 'n02090721', 'Irish_wolfhound' ],", + " '171': [ 'n02091032', 'Italian_greyhound' ],", + " '172': [ 'n02091134', 'whippet' ],", + " '173': [ 'n02091244', 'Ibizan_hound' ],", + " '174': [ 'n02091467', 'Norwegian_elkhound' ],", + " '175': [ 'n02091635', 'otterhound' ],", + " '176': [ 'n02091831', 'Saluki' ],", + " '177': [ 'n02092002', 'Scottish_deerhound' ],", + " '178': [ 'n02092339', 'Weimaraner' ],", + " '179': [ 'n02093256', 'Staffordshire_bullterrier' ],", + " '180': [ 'n02093428', 'American_Staffordshire_terrier' ],", + " '181': [ 'n02093647', 'Bedlington_terrier' ],", + " '182': [ 'n02093754', 'Border_terrier' ],", + " '183': [ 'n02093859', 'Kerry_blue_terrier' ],", + " '184': [ 'n02093991', 'Irish_terrier' ],", + " '185': [ 'n02094114', 'Norfolk_terrier' ],", + " '186': [ 'n02094258', 'Norwich_terrier' ],", + " '187': [ 'n02094433', 'Yorkshire_terrier' ],", + " '188': [ 'n02095314', 'wire-haired_fox_terrier' ],", + " '189': [ 'n02095570', 'Lakeland_terrier' ],", + " '190': [ 'n02095889', 'Sealyham_terrier' ],", + " '191': [ 'n02096051', 'Airedale' ],", + " '192': [ 'n02096177', 'cairn' ],", + " '193': [ 'n02096294', 'Australian_terrier' ],", + " '194': [ 'n02096437', 'Dandie_Dinmont' ],", + " '195': [ 'n02096585', 'Boston_bull' ],", + " '196': [ 'n02097047', 'miniature_schnauzer' ],", + " '197': [ 'n02097130', 'giant_schnauzer' ],", + " '198': [ 'n02097209', 'standard_schnauzer' ],", + " '199': [ 'n02097298', 'Scotch_terrier' ],", + " '200': [ 'n02097474', 'Tibetan_terrier' ],", + " '201': [ 'n02097658', 'silky_terrier' ],", + " '202': [ 'n02098105', 'soft-coated_wheaten_terrier' ],", + " '203': [ 'n02098286', 'West_Highland_white_terrier' ],", + " '204': [ 'n02098413', 'Lhasa' ],", + " '205': [ 'n02099267', 'flat-coated_retriever' ],", + " '206': [ 'n02099429', 'curly-coated_retriever' ],", + " '207': [ 'n02099601', 'golden_retriever' ],", + " '208': [ 'n02099712', 'Labrador_retriever' ],", + " '209': [ 'n02099849', 'Chesapeake_Bay_retriever' ],", + " '210': [ 'n02100236', 'German_short-haired_pointer' ],", + " '211': [ 'n02100583', 'vizsla' ],", + " '212': [ 'n02100735', 'English_setter' ],", + " '213': [ 'n02100877', 'Irish_setter' ],", + " '214': [ 'n02101006', 'Gordon_setter' ],", + " '215': [ 'n02101388', 'Brittany_spaniel' ],", + " '216': [ 'n02101556', 'clumber' ],", + " '217': [ 'n02102040', 'English_springer' ],", + " '218': [ 'n02102177', 'Welsh_springer_spaniel' ],", + " '219': [ 'n02102318', 'cocker_spaniel' ],", + " '220': [ 'n02102480', 'Sussex_spaniel' ],", + " '221': [ 'n02102973', 'Irish_water_spaniel' ],", + " '222': [ 'n02104029', 'kuvasz' ],", + " '223': [ 'n02104365', 'schipperke' ],", + " '224': [ 'n02105056', 'groenendael' ],", + " '225': [ 'n02105162', 'malinois' ],", + " '226': [ 'n02105251', 'briard' ],", + " '227': [ 'n02105412', 'kelpie' ],", + " '228': [ 'n02105505', 'komondor' ],", + " '229': [ 'n02105641', 'Old_English_sheepdog' ],", + " '230': [ 'n02105855', 'Shetland_sheepdog' ],", + " '231': [ 'n02106030', 'collie' ],", + " '232': [ 'n02106166', 'Border_collie' ],", + " '233': [ 'n02106382', 'Bouvier_des_Flandres' ],", + " '234': [ 'n02106550', 'Rottweiler' ],", + " '235': [ 'n02106662', 'German_shepherd' ],", + " '236': [ 'n02107142', 'Doberman' ],", + " '237': [ 'n02107312', 'miniature_pinscher' ],", + " '238': [ 'n02107574', 'Greater_Swiss_Mountain_dog' ],", + " '239': [ 'n02107683', 'Bernese_mountain_dog' ],", + " '240': [ 'n02107908', 'Appenzeller' ],", + " '241': [ 'n02108000', 'EntleBucher' ],", + " '242': [ 'n02108089', 'boxer' ],", + " '243': [ 'n02108422', 'bull_mastiff' ],", + " '244': [ 'n02108551', 'Tibetan_mastiff' ],", + " '245': [ 'n02108915', 'French_bulldog' ],", + " '246': [ 'n02109047', 'Great_Dane' ],", + " '247': [ 'n02109525', 'Saint_Bernard' ],", + " '248': [ 'n02109961', 'Eskimo_dog' ],", + " '249': [ 'n02110063', 'malamute' ],", + " '250': [ 'n02110185', 'Siberian_husky' ],", + " '251': [ 'n02110341', 'dalmatian' ],", + " '252': [ 'n02110627', 'affenpinscher' ],", + " '253': [ 'n02110806', 'basenji' ],", + " '254': [ 'n02110958', 'pug' ],", + " '255': [ 'n02111129', 'Leonberg' ],", + " '256': [ 'n02111277', 'Newfoundland' ],", + " '257': [ 'n02111500', 'Great_Pyrenees' ],", + " '258': [ 'n02111889', 'Samoyed' ],", + " '259': [ 'n02112018', 'Pomeranian' ],", + " '260': [ 'n02112137', 'chow' ],", + " '261': [ 'n02112350', 'keeshond' ],", + " '262': [ 'n02112706', 'Brabancon_griffon' ],", + " '263': [ 'n02113023', 'Pembroke' ],", + " '264': [ 'n02113186', 'Cardigan' ],", + " '265': [ 'n02113624', 'toy_poodle' ],", + " '266': [ 'n02113712', 'miniature_poodle' ],", + " '267': [ 'n02113799', 'standard_poodle' ],", + " '268': [ 'n02113978', 'Mexican_hairless' ],", + " '269': [ 'n02114367', 'timber_wolf' ],", + " '270': [ 'n02114548', 'white_wolf' ],", + " '271': [ 'n02114712', 'red_wolf' ],", + " '272': [ 'n02114855', 'coyote' ],", + " '273': [ 'n02115641', 'dingo' ],", + " '274': [ 'n02115913', 'dhole' ],", + " '275': [ 'n02116738', 'African_hunting_dog' ],", + " '276': [ 'n02117135', 'hyena' ],", + " '277': [ 'n02119022', 'red_fox' ],", + " '278': [ 'n02119789', 'kit_fox' ],", + " '279': [ 'n02120079', 'Arctic_fox' ],", + " '280': [ 'n02120505', 'grey_fox' ],", + " '281': [ 'n02123045', 'tabby' ],", + " '282': [ 'n02123159', 'tiger_cat' ],", + " '283': [ 'n02123394', 'Persian_cat' ],", + " '284': [ 'n02123597', 'Siamese_cat' ],", + " '285': [ 'n02124075', 'Egyptian_cat' ],", + " '286': [ 'n02125311', 'cougar' ],", + " '287': [ 'n02127052', 'lynx' ],", + " '288': [ 'n02128385', 'leopard' ],", + " '289': [ 'n02128757', 'snow_leopard' ],", + " '290': [ 'n02128925', 'jaguar' ],", + " '291': [ 'n02129165', 'lion' ],", + " '292': [ 'n02129604', 'tiger' ],", + " '293': [ 'n02130308', 'cheetah' ],", + " '294': [ 'n02132136', 'brown_bear' ],", + " '295': [ 'n02133161', 'American_black_bear' ],", + " '296': [ 'n02134084', 'ice_bear' ],", + " '297': [ 'n02134418', 'sloth_bear' ],", + " '298': [ 'n02137549', 'mongoose' ],", + " '299': [ 'n02138441', 'meerkat' ],", + " '300': [ 'n02165105', 'tiger_beetle' ],", + " '301': [ 'n02165456', 'ladybug' ],", + " '302': [ 'n02167151', 'ground_beetle' ],", + " '303': [ 'n02168699', 'long-horned_beetle' ],", + " '304': [ 'n02169497', 'leaf_beetle' ],", + " '305': [ 'n02172182', 'dung_beetle' ],", + " '306': [ 'n02174001', 'rhinoceros_beetle' ],", + " '307': [ 'n02177972', 'weevil' ],", + " '308': [ 'n02190166', 'fly' ],", + " '309': [ 'n02206856', 'bee' ],", + " '310': [ 'n02219486', 'ant' ],", + " '311': [ 'n02226429', 'grasshopper' ],", + " '312': [ 'n02229544', 'cricket' ],", + " '313': [ 'n02231487', 'walking_stick' ],", + " '314': [ 'n02233338', 'cockroach' ],", + " '315': [ 'n02236044', 'mantis' ],", + " '316': [ 'n02256656', 'cicada' ],", + " '317': [ 'n02259212', 'leafhopper' ],", + " '318': [ 'n02264363', 'lacewing' ],", + " '319': [ 'n02268443', 'dragonfly' ],", + " '320': [ 'n02268853', 'damselfly' ],", + " '321': [ 'n02276258', 'admiral' ],", + " '322': [ 'n02277742', 'ringlet' ],", + " '323': [ 'n02279972', 'monarch' ],", + " '324': [ 'n02280649', 'cabbage_butterfly' ],", + " '325': [ 'n02281406', 'sulphur_butterfly' ],", + " '326': [ 'n02281787', 'lycaenid' ],", + " '327': [ 'n02317335', 'starfish' ],", + " '328': [ 'n02319095', 'sea_urchin' ],", + " '329': [ 'n02321529', 'sea_cucumber' ],", + " '330': [ 'n02325366', 'wood_rabbit' ],", + " '331': [ 'n02326432', 'hare' ],", + " '332': [ 'n02328150', 'Angora' ],", + " '333': [ 'n02342885', 'hamster' ],", + " '334': [ 'n02346627', 'porcupine' ],", + " '335': [ 'n02356798', 'fox_squirrel' ],", + " '336': [ 'n02361337', 'marmot' ],", + " '337': [ 'n02363005', 'beaver' ],", + " '338': [ 'n02364673', 'guinea_pig' ],", + " '339': [ 'n02389026', 'sorrel' ],", + " '340': [ 'n02391049', 'zebra' ],", + " '341': [ 'n02395406', 'hog' ],", + " '342': [ 'n02396427', 'wild_boar' ],", + " '343': [ 'n02397096', 'warthog' ],", + " '344': [ 'n02398521', 'hippopotamus' ],", + " '345': [ 'n02403003', 'ox' ],", + " '346': [ 'n02408429', 'water_buffalo' ],", + " '347': [ 'n02410509', 'bison' ],", + " '348': [ 'n02412080', 'ram' ],", + " '349': [ 'n02415577', 'bighorn' ],", + " '350': [ 'n02417914', 'ibex' ],", + " '351': [ 'n02422106', 'hartebeest' ],", + " '352': [ 'n02422699', 'impala' ],", + " '353': [ 'n02423022', 'gazelle' ],", + " '354': [ 'n02437312', 'Arabian_camel' ],", + " '355': [ 'n02437616', 'llama' ],", + " '356': [ 'n02441942', 'weasel' ],", + " '357': [ 'n02442845', 'mink' ],", + " '358': [ 'n02443114', 'polecat' ],", + " '359': [ 'n02443484', 'black-footed_ferret' ],", + " '360': [ 'n02444819', 'otter' ],", + " '361': [ 'n02445715', 'skunk' ],", + " '362': [ 'n02447366', 'badger' ],", + " '363': [ 'n02454379', 'armadillo' ],", + " '364': [ 'n02457408', 'three-toed_sloth' ],", + " '365': [ 'n02480495', 'orangutan' ],", + " '366': [ 'n02480855', 'gorilla' ],", + " '367': [ 'n02481823', 'chimpanzee' ],", + " '368': [ 'n02483362', 'gibbon' ],", + " '369': [ 'n02483708', 'siamang' ],", + " '370': [ 'n02484975', 'guenon' ],", + " '371': [ 'n02486261', 'patas' ],", + " '372': [ 'n02486410', 'baboon' ],", + " '373': [ 'n02487347', 'macaque' ],", + " '374': [ 'n02488291', 'langur' ],", + " '375': [ 'n02488702', 'colobus' ],", + " '376': [ 'n02489166', 'proboscis_monkey' ],", + " '377': [ 'n02490219', 'marmoset' ],", + " '378': [ 'n02492035', 'capuchin' ],", + " '379': [ 'n02492660', 'howler_monkey' ],", + " '380': [ 'n02493509', 'titi' ],", + " '381': [ 'n02493793', 'spider_monkey' ],", + " '382': [ 'n02494079', 'squirrel_monkey' ],", + " '383': [ 'n02497673', 'Madagascar_cat' ],", + " '384': [ 'n02500267', 'indri' ],", + " '385': [ 'n02504013', 'Indian_elephant' ],", + " '386': [ 'n02504458', 'African_elephant' ],", + " '387': [ 'n02509815', 'lesser_panda' ],", + " '388': [ 'n02510455', 'giant_panda' ],", + " '389': [ 'n02514041', 'barracouta' ],", + " '390': [ 'n02526121', 'eel' ],", + " '391': [ 'n02536864', 'coho' ],", + " '392': [ 'n02606052', 'rock_beauty' ],", + " '393': [ 'n02607072', 'anemone_fish' ],", + " '394': [ 'n02640242', 'sturgeon' ],", + " '395': [ 'n02641379', 'gar' ],", + " '396': [ 'n02643566', 'lionfish' ],", + " '397': [ 'n02655020', 'puffer' ],", + " '398': [ 'n02666196', 'abacus' ],", + " '399': [ 'n02667093', 'abaya' ],", + " '400': [ 'n02669723', 'academic_gown' ],", + " '401': [ 'n02672831', 'accordion' ],", + " '402': [ 'n02676566', 'acoustic_guitar' ],", + " '403': [ 'n02687172', 'aircraft_carrier' ],", + " '404': [ 'n02690373', 'airliner' ],", + " '405': [ 'n02692877', 'airship' ],", + " '406': [ 'n02699494', 'altar' ],", + " '407': [ 'n02701002', 'ambulance' ],", + " '408': [ 'n02704792', 'amphibian' ],", + " '409': [ 'n02708093', 'analog_clock' ],", + " '410': [ 'n02727426', 'apiary' ],", + " '411': [ 'n02730930', 'apron' ],", + " '412': [ 'n02747177', 'ashcan' ],", + " '413': [ 'n02749479', 'assault_rifle' ],", + " '414': [ 'n02769748', 'backpack' ],", + " '415': [ 'n02776631', 'bakery' ],", + " '416': [ 'n02777292', 'balance_beam' ],", + " '417': [ 'n02782093', 'balloon' ],", + " '418': [ 'n02783161', 'ballpoint' ],", + " '419': [ 'n02786058', 'Band_Aid' ],", + " '420': [ 'n02787622', 'banjo' ],", + " '421': [ 'n02788148', 'bannister' ],", + " '422': [ 'n02790996', 'barbell' ],", + " '423': [ 'n02791124', 'barber_chair' ],", + " '424': [ 'n02791270', 'barbershop' ],", + " '425': [ 'n02793495', 'barn' ],", + " '426': [ 'n02794156', 'barometer' ],", + " '427': [ 'n02795169', 'barrel' ],", + " '428': [ 'n02797295', 'barrow' ],", + " '429': [ 'n02799071', 'baseball' ],", + " '430': [ 'n02802426', 'basketball' ],", + " '431': [ 'n02804414', 'bassinet' ],", + " '432': [ 'n02804610', 'bassoon' ],", + " '433': [ 'n02807133', 'bathing_cap' ],", + " '434': [ 'n02808304', 'bath_towel' ],", + " '435': [ 'n02808440', 'bathtub' ],", + " '436': [ 'n02814533', 'beach_wagon' ],", + " '437': [ 'n02814860', 'beacon' ],", + " '438': [ 'n02815834', 'beaker' ],", + " '439': [ 'n02817516', 'bearskin' ],", + " '440': [ 'n02823428', 'beer_bottle' ],", + " '441': [ 'n02823750', 'beer_glass' ],", + " '442': [ 'n02825657', 'bell_cote' ],", + " '443': [ 'n02834397', 'bib' ],", + " '444': [ 'n02835271', 'bicycle-built-for-two' ],", + " '445': [ 'n02837789', 'bikini' ],", + " '446': [ 'n02840245', 'binder' ],", + " '447': [ 'n02841315', 'binoculars' ],", + " '448': [ 'n02843684', 'birdhouse' ],", + " '449': [ 'n02859443', 'boathouse' ],", + " '450': [ 'n02860847', 'bobsled' ],", + " '451': [ 'n02865351', 'bolo_tie' ],", + " '452': [ 'n02869837', 'bonnet' ],", + " '453': [ 'n02870880', 'bookcase' ],", + " '454': [ 'n02871525', 'bookshop' ],", + " '455': [ 'n02877765', 'bottlecap' ],", + " '456': [ 'n02879718', 'bow' ],", + " '457': [ 'n02883205', 'bow_tie' ],", + " '458': [ 'n02892201', 'brass' ],", + " '459': [ 'n02892767', 'brassiere' ],", + " '460': [ 'n02894605', 'breakwater' ],", + " '461': [ 'n02895154', 'breastplate' ],", + " '462': [ 'n02906734', 'broom' ],", + " '463': [ 'n02909870', 'bucket' ],", + " '464': [ 'n02910353', 'buckle' ],", + " '465': [ 'n02916936', 'bulletproof_vest' ],", + " '466': [ 'n02917067', 'bullet_train' ],", + " '467': [ 'n02927161', 'butcher_shop' ],", + " '468': [ 'n02930766', 'cab' ],", + " '469': [ 'n02939185', 'caldron' ],", + " '470': [ 'n02948072', 'candle' ],", + " '471': [ 'n02950826', 'cannon' ],", + " '472': [ 'n02951358', 'canoe' ],", + " '473': [ 'n02951585', 'can_opener' ],", + " '474': [ 'n02963159', 'cardigan' ],", + " '475': [ 'n02965783', 'car_mirror' ],", + " '476': [ 'n02966193', 'carousel' ],", + " '477': [ 'n02966687', \"carpenter's_kit\" ],", + " '478': [ 'n02971356', 'carton' ],", + " '479': [ 'n02974003', 'car_wheel' ],", + " '480': [ 'n02977058', 'cash_machine' ],", + " '481': [ 'n02978881', 'cassette' ],", + " '482': [ 'n02979186', 'cassette_player' ],", + " '483': [ 'n02980441', 'castle' ],", + " '484': [ 'n02981792', 'catamaran' ],", + " '485': [ 'n02988304', 'CD_player' ],", + " '486': [ 'n02992211', 'cello' ],", + " '487': [ 'n02992529', 'cellular_telephone' ],", + " '488': [ 'n02999410', 'chain' ],", + " '489': [ 'n03000134', 'chainlink_fence' ],", + " '490': [ 'n03000247', 'chain_mail' ],", + " '491': [ 'n03000684', 'chain_saw' ],", + " '492': [ 'n03014705', 'chest' ],", + " '493': [ 'n03016953', 'chiffonier' ],", + " '494': [ 'n03017168', 'chime' ],", + " '495': [ 'n03018349', 'china_cabinet' ],", + " '496': [ 'n03026506', 'Christmas_stocking' ],", + " '497': [ 'n03028079', 'church' ],", + " '498': [ 'n03032252', 'cinema' ],", + " '499': [ 'n03041632', 'cleaver' ],", + " '500': [ 'n03042490', 'cliff_dwelling' ],", + " '501': [ 'n03045698', 'cloak' ],", + " '502': [ 'n03047690', 'clog' ],", + " '503': [ 'n03062245', 'cocktail_shaker' ],", + " '504': [ 'n03063599', 'coffee_mug' ],", + " '505': [ 'n03063689', 'coffeepot' ],", + " '506': [ 'n03065424', 'coil' ],", + " '507': [ 'n03075370', 'combination_lock' ],", + " '508': [ 'n03085013', 'computer_keyboard' ],", + " '509': [ 'n03089624', 'confectionery' ],", + " '510': [ 'n03095699', 'container_ship' ],", + " '511': [ 'n03100240', 'convertible' ],", + " '512': [ 'n03109150', 'corkscrew' ],", + " '513': [ 'n03110669', 'cornet' ],", + " '514': [ 'n03124043', 'cowboy_boot' ],", + " '515': [ 'n03124170', 'cowboy_hat' ],", + " '516': [ 'n03125729', 'cradle' ],", + " '517': [ 'n03126707', 'crane' ],", + " '518': [ 'n03127747', 'crash_helmet' ],", + " '519': [ 'n03127925', 'crate' ],", + " '520': [ 'n03131574', 'crib' ],", + " '521': [ 'n03133878', 'Crock_Pot' ],", + " '522': [ 'n03134739', 'croquet_ball' ],", + " '523': [ 'n03141823', 'crutch' ],", + " '524': [ 'n03146219', 'cuirass' ],", + " '525': [ 'n03160309', 'dam' ],", + " '526': [ 'n03179701', 'desk' ],", + " '527': [ 'n03180011', 'desktop_computer' ],", + " '528': [ 'n03187595', 'dial_telephone' ],", + " '529': [ 'n03188531', 'diaper' ],", + " '530': [ 'n03196217', 'digital_clock' ],", + " '531': [ 'n03197337', 'digital_watch' ],", + " '532': [ 'n03201208', 'dining_table' ],", + " '533': [ 'n03207743', 'dishrag' ],", + " '534': [ 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'n04356056', 'sunglasses' ],", + " '838': [ 'n04357314', 'sunscreen' ],", + " '839': [ 'n04366367', 'suspension_bridge' ],", + " '840': [ 'n04367480', 'swab' ],", + " '841': [ 'n04370456', 'sweatshirt' ],", + " '842': [ 'n04371430', 'swimming_trunks' ],", + " '843': [ 'n04371774', 'swing' ],", + " '844': [ 'n04372370', 'switch' ],", + " '845': [ 'n04376876', 'syringe' ],", + " '846': [ 'n04380533', 'table_lamp' ],", + " '847': [ 'n04389033', 'tank' ],", + " '848': [ 'n04392985', 'tape_player' ],", + " '849': [ 'n04398044', 'teapot' ],", + " '850': [ 'n04399382', 'teddy' ],", + " '851': [ 'n04404412', 'television' ],", + " '852': [ 'n04409515', 'tennis_ball' ],", + " '853': [ 'n04417672', 'thatch' ],", + " '854': [ 'n04418357', 'theater_curtain' ],", + " '855': [ 'n04423845', 'thimble' ],", + " '856': [ 'n04428191', 'thresher' ],", + " '857': [ 'n04429376', 'throne' ],", + " '858': [ 'n04435653', 'tile_roof' ],", + " '859': [ 'n04442312', 'toaster' ],", + " '860': [ 'n04443257', 'tobacco_shop' ],", + " '861': [ 'n04447861', 'toilet_seat' ],", + " '862': [ 'n04456115', 'torch' ],", + " '863': [ 'n04458633', 'totem_pole' ],", + " '864': [ 'n04461696', 'tow_truck' ],", + " '865': [ 'n04462240', 'toyshop' ],", + " '866': [ 'n04465501', 'tractor' ],", + " '867': [ 'n04467665', 'trailer_truck' ],", + " '868': [ 'n04476259', 'tray' ],", + " '869': [ 'n04479046', 'trench_coat' ],", + " '870': [ 'n04482393', 'tricycle' ],", + " '871': [ 'n04483307', 'trimaran' ],", + " '872': [ 'n04485082', 'tripod' ],", + " '873': [ 'n04486054', 'triumphal_arch' ],", + " '874': [ 'n04487081', 'trolleybus' ],", + " '875': [ 'n04487394', 'trombone' ],", + " '876': [ 'n04493381', 'tub' ],", + " '877': [ 'n04501370', 'turnstile' ],", + " '878': [ 'n04505470', 'typewriter_keyboard' ],", + " '879': [ 'n04507155', 'umbrella' ],", + " '880': [ 'n04509417', 'unicycle' ],", + " '881': [ 'n04515003', 'upright' ],", + " '882': [ 'n04517823', 'vacuum' ],", + " '883': [ 'n04522168', 'vase' ],", + " '884': [ 'n04523525', 'vault' ],", + " '885': [ 'n04525038', 'velvet' ],", + " '886': [ 'n04525305', 'vending_machine' ],", + " '887': [ 'n04532106', 'vestment' ],", + " '888': [ 'n04532670', 'viaduct' ],", + " '889': [ 'n04536866', 'violin' ],", + " '890': [ 'n04540053', 'volleyball' ],", + " '891': [ 'n04542943', 'waffle_iron' ],", + " '892': [ 'n04548280', 'wall_clock' ],", + " '893': [ 'n04548362', 'wallet' ],", + " '894': [ 'n04550184', 'wardrobe' ],", + " '895': [ 'n04552348', 'warplane' ],", + " '896': [ 'n04553703', 'washbasin' ],", + " '897': [ 'n04554684', 'washer' ],", + " '898': [ 'n04557648', 'water_bottle' ],", + " '899': [ 'n04560804', 'water_jug' ],", + " '900': [ 'n04562935', 'water_tower' ],", + " '901': [ 'n04579145', 'whiskey_jug' ],", + " '902': [ 'n04579432', 'whistle' ],", + " '903': [ 'n04584207', 'wig' ],", + " '904': [ 'n04589890', 'window_screen' ],", + " '905': [ 'n04590129', 'window_shade' ],", + " '906': [ 'n04591157', 'Windsor_tie' ],", + " '907': [ 'n04591713', 'wine_bottle' ],", + " '908': [ 'n04592741', 'wing' ],", + " '909': [ 'n04596742', 'wok' ],", + " '910': [ 'n04597913', 'wooden_spoon' ],", + " '911': [ 'n04599235', 'wool' ],", + " '912': [ 'n04604644', 'worm_fence' ],", + " '913': [ 'n04606251', 'wreck' ],", + " '914': [ 'n04612504', 'yawl' ],", + " '915': [ 'n04613696', 'yurt' ],", + " '916': [ 'n06359193', 'web_site' ],", + " '917': [ 'n06596364', 'comic_book' ],", + " '918': [ 'n06785654', 'crossword_puzzle' ],", + " '919': [ 'n06794110', 'street_sign' ],", + " '920': [ 'n06874185', 'traffic_light' ],", + " '921': [ 'n07248320', 'book_jacket' ],", + " '922': [ 'n07565083', 'menu' ],", + " '923': [ 'n07579787', 'plate' ],", + " '924': [ 'n07583066', 'guacamole' ],", + " '925': [ 'n07584110', 'consomme' ],", + " '926': [ 'n07590611', 'hot_pot' ],", + " '927': [ 'n07613480', 'trifle' ],", + " '928': [ 'n07614500', 'ice_cream' ],", + " '929': [ 'n07615774', 'ice_lolly' ],", + " '930': [ 'n07684084', 'French_loaf' ],", + " '931': [ 'n07693725', 'bagel' ],", + " '932': [ 'n07695742', 'pretzel' ],", + " '933': [ 'n07697313', 'cheeseburger' ],", + " '934': [ 'n07697537', 'hotdog' ],", + " '935': [ 'n07711569', 'mashed_potato' ],", + " '936': [ 'n07714571', 'head_cabbage' ],", + " '937': [ 'n07714990', 'broccoli' ],", + " '938': [ 'n07715103', 'cauliflower' ],", + " '939': [ 'n07716358', 'zucchini' ],", + " '940': [ 'n07716906', 'spaghetti_squash' ],", + " '941': [ 'n07717410', 'acorn_squash' ],", + " '942': [ 'n07717556', 'butternut_squash' ],", + " '943': [ 'n07718472', 'cucumber' ],", + " '944': [ 'n07718747', 'artichoke' ],", + " '945': [ 'n07720875', 'bell_pepper' ],", + " '946': [ 'n07730033', 'cardoon' ],", + " '947': [ 'n07734744', 'mushroom' ],", + " '948': [ 'n07742313', 'Granny_Smith' ],", + " '949': [ 'n07745940', 'strawberry' ],", + " '950': [ 'n07747607', 'orange' ],", + " '951': [ 'n07749582', 'lemon' ],", + " '952': [ 'n07753113', 'fig' ],", + " '953': [ 'n07753275', 'pineapple' ],", + " '954': [ 'n07753592', 'banana' ],", + " '955': [ 'n07754684', 'jackfruit' ],", + " '956': [ 'n07760859', 'custard_apple' ],", + " '957': [ 'n07768694', 'pomegranate' ],", + " '958': [ 'n07802026', 'hay' ],", + " '959': [ 'n07831146', 'carbonara' ],", + " '960': [ 'n07836838', 'chocolate_sauce' ],", + " '961': [ 'n07860988', 'dough' ],", + " '962': [ 'n07871810', 'meat_loaf' ],", + " '963': [ 'n07873807', 'pizza' ],", + " '964': [ 'n07875152', 'potpie' ],", + " '965': [ 'n07880968', 'burrito' ],", + " '966': [ 'n07892512', 'red_wine' ],", + " '967': [ 'n07920052', 'espresso' ],", + " '968': [ 'n07930864', 'cup' ],", + " '969': [ 'n07932039', 'eggnog' ],", + " '970': [ 'n09193705', 'alp' ],", + " '971': [ 'n09229709', 'bubble' ],", + " '972': [ 'n09246464', 'cliff' ],", + " '973': [ 'n09256479', 'coral_reef' ],", + " '974': [ 'n09288635', 'geyser' ],", + " '975': [ 'n09332890', 'lakeside' ],", + " '976': [ 'n09399592', 'promontory' ],", + " '977': [ 'n09421951', 'sandbar' ],", + " '978': [ 'n09428293', 'seashore' ],", + " '979': [ 'n09468604', 'valley' ],", + " '980': [ 'n09472597', 'volcano' ],", + " '981': [ 'n09835506', 'ballplayer' ],", + " '982': [ 'n10148035', 'groom' ],", + " '983': [ 'n10565667', 'scuba_diver' ],", + " '984': [ 'n11879895', 'rapeseed' ],", + " '985': [ 'n11939491', 'daisy' ],", + " '986': [ 'n12057211', \"yellow_lady's_slipper\" ],", + " '987': [ 'n12144580', 'corn' ],", + " '988': [ 'n12267677', 'acorn' ],", + " '989': [ 'n12620546', 'hip' ],", + " '990': [ 'n12768682', 'buckeye' ],", + " '991': [ 'n12985857', 'coral_fungus' ],", + " '992': [ 'n12998815', 'agaric' ],", + " '993': [ 'n13037406', 'gyromitra' ],", + " '994': [ 'n13040303', 'stinkhorn' ],", + " '995': [ 'n13044778', 'earthstar' ],", + " '996': [ 'n13052670', 'hen-of-the-woods' ],", + " '997': [ 'n13054560', 'bolete' ],", + " '998': [ 'n13133613', 'ear' ],", + " '999': [ 'n15075141', 'toilet_tissue' ]", + "}", "" ] } From 11a61ee0e40b6e148113e1b1382ae39287f1909b Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 16:33:10 +0200 Subject: [PATCH 7/8] Fix notebook output --- samples/js/node/notebooks/001-hello-world.nnb | 1003 +---------------- 1 file changed, 1 insertion(+), 1002 deletions(-) diff --git a/samples/js/node/notebooks/001-hello-world.nnb b/samples/js/node/notebooks/001-hello-world.nnb index 87479cd1d03e27..334c8a05770071 100644 --- a/samples/js/node/notebooks/001-hello-world.nnb +++ b/samples/js/node/notebooks/001-hello-world.nnb @@ -153,1008 +153,7 @@ { "mime": "application/vnd.code.notebook.stdout", "value": [ - "{", - " '0': [ 'n01440764', 'tench' ],", - " '1': [ 'n01443537', 'goldfish' ],", - " '2': [ 'n01484850', 'great_white_shark' ],", - " '3': [ 'n01491361', 'tiger_shark' ],", - " '4': [ 'n01494475', 'hammerhead' ],", - " '5': [ 'n01496331', 'electric_ray' ],", - " '6': [ 'n01498041', 'stingray' ],", - " '7': [ 'n01514668', 'cock' ],", - " '8': [ 'n01514859', 'hen' ],", - " '9': [ 'n01518878', 'ostrich' ],", - " '10': [ 'n01530575', 'brambling' ],", - " '11': [ 'n01531178', 'goldfinch' ],", - " '12': [ 'n01532829', 'house_finch' ],", - " '13': [ 'n01534433', 'junco' ],", - " '14': [ 'n01537544', 'indigo_bunting' ],", - " '15': [ 'n01558993', 'robin' ],", - " '16': [ 'n01560419', 'bulbul' ],", - " '17': [ 'n01580077', 'jay' ],", - " '18': [ 'n01582220', 'magpie' ],", - " '19': [ 'n01592084', 'chickadee' ],", - " '20': [ 'n01601694', 'water_ouzel' ],", - " '21': [ 'n01608432', 'kite' ],", - " '22': [ 'n01614925', 'bald_eagle' ],", - " '23': [ 'n01616318', 'vulture' ],", - " '24': [ 'n01622779', 'great_grey_owl' ],", - " '25': [ 'n01629819', 'European_fire_salamander' ],", - " '26': [ 'n01630670', 'common_newt' ],", - " '27': [ 'n01631663', 'eft' ],", - " '28': [ 'n01632458', 'spotted_salamander' ],", - " '29': [ 'n01632777', 'axolotl' ],", - " '30': [ 'n01641577', 'bullfrog' ],", - " '31': [ 'n01644373', 'tree_frog' ],", - " '32': [ 'n01644900', 'tailed_frog' ],", - " '33': [ 'n01664065', 'loggerhead' ],", - " '34': [ 'n01665541', 'leatherback_turtle' ],", - " '35': [ 'n01667114', 'mud_turtle' ],", - " '36': [ 'n01667778', 'terrapin' ],", - " '37': [ 'n01669191', 'box_turtle' ],", - " '38': [ 'n01675722', 'banded_gecko' ],", - " '39': [ 'n01677366', 'common_iguana' ],", - " '40': [ 'n01682714', 'American_chameleon' ],", - " '41': [ 'n01685808', 'whiptail' ],", - " '42': [ 'n01687978', 'agama' ],", - " '43': [ 'n01688243', 'frilled_lizard' ],", - " '44': [ 'n01689811', 'alligator_lizard' ],", - " '45': [ 'n01692333', 'Gila_monster' ],", - " '46': [ 'n01693334', 'green_lizard' ],", - " '47': [ 'n01694178', 'African_chameleon' ],", - " '48': [ 'n01695060', 'Komodo_dragon' ],", - " '49': [ 'n01697457', 'African_crocodile' ],", - " '50': [ 'n01698640', 'American_alligator' ],", - " '51': [ 'n01704323', 'triceratops' ],", - " '52': [ 'n01728572', 'thunder_snake' ],", - " '53': [ 'n01728920', 'ringneck_snake' ],", - " '54': [ 'n01729322', 'hognose_snake' ],", - " '55': [ 'n01729977', 'green_snake' ],", - " '56': [ 'n01734418', 'king_snake' ],", - " '57': [ 'n01735189', 'garter_snake' ],", - " '58': [ 'n01737021', 'water_snake' ],", - " '59': [ 'n01739381', 'vine_snake' ],", - " '60': [ 'n01740131', 'night_snake' ],", - " '61': [ 'n01742172', 'boa_constrictor' ],", - " '62': [ 'n01744401', 'rock_python' ],", - " '63': [ 'n01748264', 'Indian_cobra' ],", - " '64': [ 'n01749939', 'green_mamba' ],", - " '65': [ 'n01751748', 'sea_snake' ],", - " '66': [ 'n01753488', 'horned_viper' ],", - " '67': [ 'n01755581', 'diamondback' ],", - " '68': [ 'n01756291', 'sidewinder' ],", - " '69': [ 'n01768244', 'trilobite' ],", - " '70': [ 'n01770081', 'harvestman' ],", - " '71': [ 'n01770393', 'scorpion' ],", - " '72': [ 'n01773157', 'black_and_gold_garden_spider' ],", - " '73': [ 'n01773549', 'barn_spider' ],", - " '74': [ 'n01773797', 'garden_spider' ],", - " '75': [ 'n01774384', 'black_widow' ],", - " '76': [ 'n01774750', 'tarantula' ],", - " '77': [ 'n01775062', 'wolf_spider' ],", - " '78': [ 'n01776313', 'tick' ],", - " '79': [ 'n01784675', 'centipede' ],", - " '80': [ 'n01795545', 'black_grouse' ],", - " '81': [ 'n01796340', 'ptarmigan' ],", - " '82': [ 'n01797886', 'ruffed_grouse' ],", - " '83': [ 'n01798484', 'prairie_chicken' ],", - " '84': [ 'n01806143', 'peacock' ],", - " '85': [ 'n01806567', 'quail' ],", - " '86': [ 'n01807496', 'partridge' ],", - " '87': [ 'n01817953', 'African_grey' ],", - " '88': [ 'n01818515', 'macaw' ],", - " '89': [ 'n01819313', 'sulphur-crested_cockatoo' ],", - " '90': [ 'n01820546', 'lorikeet' ],", - " '91': [ 'n01824575', 'coucal' ],", - " '92': [ 'n01828970', 'bee_eater' ],", - " '93': [ 'n01829413', 'hornbill' ],", - " '94': [ 'n01833805', 'hummingbird' ],", - " '95': [ 'n01843065', 'jacamar' ],", - " '96': [ 'n01843383', 'toucan' ],", - " '97': [ 'n01847000', 'drake' ],", - " '98': [ 'n01855032', 'red-breasted_merganser' ],", - " '99': [ 'n01855672', 'goose' ],", - " '100': [ 'n01860187', 'black_swan' ],", - " '101': [ 'n01871265', 'tusker' ],", - " '102': [ 'n01872401', 'echidna' ],", - " '103': [ 'n01873310', 'platypus' ],", - " '104': [ 'n01877812', 'wallaby' ],", - " '105': [ 'n01882714', 'koala' ],", - " '106': [ 'n01883070', 'wombat' ],", - " '107': [ 'n01910747', 'jellyfish' ],", - " '108': [ 'n01914609', 'sea_anemone' ],", - " '109': [ 'n01917289', 'brain_coral' ],", - " '110': [ 'n01924916', 'flatworm' ],", - " '111': [ 'n01930112', 'nematode' ],", - " '112': [ 'n01943899', 'conch' ],", - " '113': [ 'n01944390', 'snail' ],", - " '114': [ 'n01945685', 'slug' ],", - " '115': [ 'n01950731', 'sea_slug' ],", - " '116': [ 'n01955084', 'chiton' ],", - " '117': [ 'n01968897', 'chambered_nautilus' ],", - " '118': [ 'n01978287', 'Dungeness_crab' ],", - " '119': [ 'n01978455', 'rock_crab' ],", - " '120': [ 'n01980166', 'fiddler_crab' ],", - " '121': [ 'n01981276', 'king_crab' ],", - " '122': [ 'n01983481', 'American_lobster' ],", - " '123': [ 'n01984695', 'spiny_lobster' ],", - " '124': [ 'n01985128', 'crayfish' ],", - " '125': [ 'n01986214', 'hermit_crab' ],", - " '126': [ 'n01990800', 'isopod' ],", - " '127': [ 'n02002556', 'white_stork' ],", - " '128': [ 'n02002724', 'black_stork' ],", - " '129': [ 'n02006656', 'spoonbill' ],", - " '130': [ 'n02007558', 'flamingo' ],", - " '131': [ 'n02009229', 'little_blue_heron' ],", - " '132': [ 'n02009912', 'American_egret' ],", - " '133': [ 'n02011460', 'bittern' ],", - " '134': [ 'n02012849', 'crane' ],", - " '135': [ 'n02013706', 'limpkin' ],", - " '136': [ 'n02017213', 'European_gallinule' ],", - " '137': [ 'n02018207', 'American_coot' ],", - " '138': [ 'n02018795', 'bustard' ],", - " '139': [ 'n02025239', 'ruddy_turnstone' ],", - " '140': [ 'n02027492', 'red-backed_sandpiper' ],", - " '141': [ 'n02028035', 'redshank' ],", - " '142': [ 'n02033041', 'dowitcher' ],", - " '143': [ 'n02037110', 'oystercatcher' ],", - " '144': [ 'n02051845', 'pelican' ],", - " '145': [ 'n02056570', 'king_penguin' ],", - " '146': [ 'n02058221', 'albatross' ],", - " '147': [ 'n02066245', 'grey_whale' ],", - " '148': [ 'n02071294', 'killer_whale' ],", - " '149': [ 'n02074367', 'dugong' ],", - " '150': [ 'n02077923', 'sea_lion' ],", - " '151': [ 'n02085620', 'Chihuahua' ],", - " '152': [ 'n02085782', 'Japanese_spaniel' ],", - " '153': [ 'n02085936', 'Maltese_dog' ],", - " '154': [ 'n02086079', 'Pekinese' ],", - " '155': [ 'n02086240', 'Shih-Tzu' ],", - " '156': [ 'n02086646', 'Blenheim_spaniel' ],", - " '157': [ 'n02086910', 'papillon' ],", - " '158': [ 'n02087046', 'toy_terrier' ],", - " '159': [ 'n02087394', 'Rhodesian_ridgeback' ],", - " '160': [ 'n02088094', 'Afghan_hound' ],", - " '161': [ 'n02088238', 'basset' ],", - " '162': [ 'n02088364', 'beagle' ],", - " '163': [ 'n02088466', 'bloodhound' ],", - " '164': [ 'n02088632', 'bluetick' ],", - " '165': [ 'n02089078', 'black-and-tan_coonhound' ],", - " '166': [ 'n02089867', 'Walker_hound' ],", - " '167': [ 'n02089973', 'English_foxhound' ],", - " '168': [ 'n02090379', 'redbone' ],", - " '169': [ 'n02090622', 'borzoi' ],", - " '170': [ 'n02090721', 'Irish_wolfhound' ],", - " '171': [ 'n02091032', 'Italian_greyhound' ],", - " '172': [ 'n02091134', 'whippet' ],", - " '173': [ 'n02091244', 'Ibizan_hound' ],", - " '174': [ 'n02091467', 'Norwegian_elkhound' ],", - " '175': [ 'n02091635', 'otterhound' ],", - " '176': [ 'n02091831', 'Saluki' ],", - " '177': [ 'n02092002', 'Scottish_deerhound' ],", - " '178': [ 'n02092339', 'Weimaraner' ],", - " '179': [ 'n02093256', 'Staffordshire_bullterrier' ],", - " '180': [ 'n02093428', 'American_Staffordshire_terrier' ],", - " '181': [ 'n02093647', 'Bedlington_terrier' ],", - " '182': [ 'n02093754', 'Border_terrier' ],", - " '183': [ 'n02093859', 'Kerry_blue_terrier' ],", - " '184': [ 'n02093991', 'Irish_terrier' ],", - " '185': [ 'n02094114', 'Norfolk_terrier' ],", - " '186': [ 'n02094258', 'Norwich_terrier' ],", - " '187': [ 'n02094433', 'Yorkshire_terrier' ],", - " '188': [ 'n02095314', 'wire-haired_fox_terrier' ],", - " '189': [ 'n02095570', 'Lakeland_terrier' ],", - " '190': [ 'n02095889', 'Sealyham_terrier' ],", - " '191': [ 'n02096051', 'Airedale' ],", - " '192': [ 'n02096177', 'cairn' ],", - " '193': [ 'n02096294', 'Australian_terrier' ],", - " '194': [ 'n02096437', 'Dandie_Dinmont' ],", - " '195': [ 'n02096585', 'Boston_bull' ],", - " '196': [ 'n02097047', 'miniature_schnauzer' ],", - " '197': [ 'n02097130', 'giant_schnauzer' ],", - " '198': [ 'n02097209', 'standard_schnauzer' ],", - " '199': [ 'n02097298', 'Scotch_terrier' ],", - " '200': [ 'n02097474', 'Tibetan_terrier' ],", - " '201': [ 'n02097658', 'silky_terrier' ],", - " '202': [ 'n02098105', 'soft-coated_wheaten_terrier' ],", - " '203': [ 'n02098286', 'West_Highland_white_terrier' ],", - " '204': [ 'n02098413', 'Lhasa' ],", - " '205': [ 'n02099267', 'flat-coated_retriever' ],", - " '206': [ 'n02099429', 'curly-coated_retriever' ],", - " '207': [ 'n02099601', 'golden_retriever' ],", - " '208': [ 'n02099712', 'Labrador_retriever' ],", - " '209': [ 'n02099849', 'Chesapeake_Bay_retriever' ],", - " '210': [ 'n02100236', 'German_short-haired_pointer' ],", - " '211': [ 'n02100583', 'vizsla' ],", - " '212': [ 'n02100735', 'English_setter' ],", - " '213': [ 'n02100877', 'Irish_setter' ],", - " '214': [ 'n02101006', 'Gordon_setter' ],", - " '215': [ 'n02101388', 'Brittany_spaniel' ],", - " '216': [ 'n02101556', 'clumber' ],", - " '217': [ 'n02102040', 'English_springer' ],", - " '218': [ 'n02102177', 'Welsh_springer_spaniel' ],", - " '219': [ 'n02102318', 'cocker_spaniel' ],", - " '220': [ 'n02102480', 'Sussex_spaniel' ],", - " '221': [ 'n02102973', 'Irish_water_spaniel' ],", - " '222': [ 'n02104029', 'kuvasz' ],", - " '223': [ 'n02104365', 'schipperke' ],", - " '224': [ 'n02105056', 'groenendael' ],", - " '225': [ 'n02105162', 'malinois' ],", - " '226': [ 'n02105251', 'briard' ],", - " '227': [ 'n02105412', 'kelpie' ],", - " '228': [ 'n02105505', 'komondor' ],", - " '229': [ 'n02105641', 'Old_English_sheepdog' ],", - " '230': [ 'n02105855', 'Shetland_sheepdog' ],", - " '231': [ 'n02106030', 'collie' ],", - " '232': [ 'n02106166', 'Border_collie' ],", - " '233': [ 'n02106382', 'Bouvier_des_Flandres' ],", - " '234': [ 'n02106550', 'Rottweiler' ],", - " '235': [ 'n02106662', 'German_shepherd' ],", - " '236': [ 'n02107142', 'Doberman' ],", - " '237': [ 'n02107312', 'miniature_pinscher' ],", - " '238': [ 'n02107574', 'Greater_Swiss_Mountain_dog' ],", - " '239': [ 'n02107683', 'Bernese_mountain_dog' ],", - " '240': [ 'n02107908', 'Appenzeller' ],", - " '241': [ 'n02108000', 'EntleBucher' ],", - " '242': [ 'n02108089', 'boxer' ],", - " '243': [ 'n02108422', 'bull_mastiff' ],", - " '244': [ 'n02108551', 'Tibetan_mastiff' ],", - " '245': [ 'n02108915', 'French_bulldog' ],", - " '246': [ 'n02109047', 'Great_Dane' ],", - " '247': [ 'n02109525', 'Saint_Bernard' ],", - " '248': [ 'n02109961', 'Eskimo_dog' ],", - " '249': [ 'n02110063', 'malamute' ],", - " '250': [ 'n02110185', 'Siberian_husky' ],", - " '251': [ 'n02110341', 'dalmatian' ],", - " '252': [ 'n02110627', 'affenpinscher' ],", - " '253': [ 'n02110806', 'basenji' ],", - " '254': [ 'n02110958', 'pug' ],", - " '255': [ 'n02111129', 'Leonberg' ],", - " '256': [ 'n02111277', 'Newfoundland' ],", - " '257': [ 'n02111500', 'Great_Pyrenees' ],", - " '258': [ 'n02111889', 'Samoyed' ],", - " '259': [ 'n02112018', 'Pomeranian' ],", - " '260': [ 'n02112137', 'chow' ],", - " '261': [ 'n02112350', 'keeshond' ],", - " '262': [ 'n02112706', 'Brabancon_griffon' ],", - " '263': [ 'n02113023', 'Pembroke' ],", - " '264': [ 'n02113186', 'Cardigan' ],", - " '265': [ 'n02113624', 'toy_poodle' ],", - " '266': [ 'n02113712', 'miniature_poodle' ],", - " '267': [ 'n02113799', 'standard_poodle' ],", - " '268': [ 'n02113978', 'Mexican_hairless' ],", - " '269': [ 'n02114367', 'timber_wolf' ],", - " '270': [ 'n02114548', 'white_wolf' ],", - " '271': [ 'n02114712', 'red_wolf' ],", - " '272': [ 'n02114855', 'coyote' ],", - " '273': [ 'n02115641', 'dingo' ],", - " '274': [ 'n02115913', 'dhole' ],", - " '275': [ 'n02116738', 'African_hunting_dog' ],", - " '276': [ 'n02117135', 'hyena' ],", - " '277': [ 'n02119022', 'red_fox' ],", - " '278': [ 'n02119789', 'kit_fox' ],", - " '279': [ 'n02120079', 'Arctic_fox' ],", - " '280': [ 'n02120505', 'grey_fox' ],", - " '281': [ 'n02123045', 'tabby' ],", - " '282': [ 'n02123159', 'tiger_cat' ],", - " '283': [ 'n02123394', 'Persian_cat' ],", - " '284': [ 'n02123597', 'Siamese_cat' ],", - " '285': [ 'n02124075', 'Egyptian_cat' ],", - " '286': [ 'n02125311', 'cougar' ],", - " '287': [ 'n02127052', 'lynx' ],", - " '288': [ 'n02128385', 'leopard' ],", - " '289': [ 'n02128757', 'snow_leopard' ],", - " '290': [ 'n02128925', 'jaguar' ],", - " '291': [ 'n02129165', 'lion' ],", - " '292': [ 'n02129604', 'tiger' ],", - " '293': [ 'n02130308', 'cheetah' ],", - " '294': [ 'n02132136', 'brown_bear' ],", - " '295': [ 'n02133161', 'American_black_bear' ],", - " '296': [ 'n02134084', 'ice_bear' ],", - " '297': [ 'n02134418', 'sloth_bear' ],", - " '298': [ 'n02137549', 'mongoose' ],", - " '299': [ 'n02138441', 'meerkat' ],", - " '300': [ 'n02165105', 'tiger_beetle' ],", - " '301': [ 'n02165456', 'ladybug' ],", - " '302': [ 'n02167151', 'ground_beetle' ],", - " '303': [ 'n02168699', 'long-horned_beetle' ],", - " '304': [ 'n02169497', 'leaf_beetle' ],", - " '305': [ 'n02172182', 'dung_beetle' ],", - " '306': [ 'n02174001', 'rhinoceros_beetle' ],", - " '307': [ 'n02177972', 'weevil' ],", - " '308': [ 'n02190166', 'fly' ],", - " '309': [ 'n02206856', 'bee' ],", - " '310': [ 'n02219486', 'ant' ],", - " '311': [ 'n02226429', 'grasshopper' ],", - " '312': [ 'n02229544', 'cricket' ],", - " '313': [ 'n02231487', 'walking_stick' ],", - " '314': [ 'n02233338', 'cockroach' ],", - " '315': [ 'n02236044', 'mantis' ],", - " '316': [ 'n02256656', 'cicada' ],", - " '317': [ 'n02259212', 'leafhopper' ],", - " '318': [ 'n02264363', 'lacewing' ],", - " '319': [ 'n02268443', 'dragonfly' ],", - " '320': [ 'n02268853', 'damselfly' ],", - " '321': [ 'n02276258', 'admiral' ],", - " '322': [ 'n02277742', 'ringlet' ],", - " '323': [ 'n02279972', 'monarch' ],", - " '324': [ 'n02280649', 'cabbage_butterfly' ],", - " '325': [ 'n02281406', 'sulphur_butterfly' ],", - " '326': [ 'n02281787', 'lycaenid' ],", - " '327': [ 'n02317335', 'starfish' ],", - " '328': [ 'n02319095', 'sea_urchin' ],", - " '329': [ 'n02321529', 'sea_cucumber' ],", - " '330': [ 'n02325366', 'wood_rabbit' ],", - " '331': [ 'n02326432', 'hare' ],", - " '332': [ 'n02328150', 'Angora' ],", - " '333': [ 'n02342885', 'hamster' ],", - " '334': [ 'n02346627', 'porcupine' ],", - " '335': [ 'n02356798', 'fox_squirrel' ],", - " '336': [ 'n02361337', 'marmot' ],", - " '337': [ 'n02363005', 'beaver' ],", - " '338': [ 'n02364673', 'guinea_pig' ],", - " '339': [ 'n02389026', 'sorrel' ],", - " '340': [ 'n02391049', 'zebra' ],", - " '341': [ 'n02395406', 'hog' ],", - " '342': [ 'n02396427', 'wild_boar' ],", - " '343': [ 'n02397096', 'warthog' ],", - " '344': [ 'n02398521', 'hippopotamus' ],", - " '345': [ 'n02403003', 'ox' ],", - " '346': [ 'n02408429', 'water_buffalo' ],", - " '347': [ 'n02410509', 'bison' ],", - " '348': [ 'n02412080', 'ram' ],", - " '349': [ 'n02415577', 'bighorn' ],", - " '350': [ 'n02417914', 'ibex' ],", - " '351': [ 'n02422106', 'hartebeest' ],", - " '352': [ 'n02422699', 'impala' ],", - " '353': [ 'n02423022', 'gazelle' ],", - " '354': [ 'n02437312', 'Arabian_camel' ],", - " '355': [ 'n02437616', 'llama' ],", - " '356': [ 'n02441942', 'weasel' ],", - " '357': [ 'n02442845', 'mink' ],", - " '358': [ 'n02443114', 'polecat' ],", - " '359': [ 'n02443484', 'black-footed_ferret' ],", - " '360': [ 'n02444819', 'otter' ],", - " '361': [ 'n02445715', 'skunk' ],", - " '362': [ 'n02447366', 'badger' ],", - " '363': [ 'n02454379', 'armadillo' ],", - " '364': [ 'n02457408', 'three-toed_sloth' ],", - " '365': [ 'n02480495', 'orangutan' ],", - " '366': [ 'n02480855', 'gorilla' ],", - " '367': [ 'n02481823', 'chimpanzee' ],", - " '368': [ 'n02483362', 'gibbon' ],", - " '369': [ 'n02483708', 'siamang' ],", - " '370': [ 'n02484975', 'guenon' ],", - " '371': [ 'n02486261', 'patas' ],", - " '372': [ 'n02486410', 'baboon' ],", - " '373': [ 'n02487347', 'macaque' ],", - " '374': [ 'n02488291', 'langur' ],", - " '375': [ 'n02488702', 'colobus' ],", - " '376': [ 'n02489166', 'proboscis_monkey' ],", - " '377': [ 'n02490219', 'marmoset' ],", - " '378': [ 'n02492035', 'capuchin' ],", - " '379': [ 'n02492660', 'howler_monkey' ],", - " '380': [ 'n02493509', 'titi' ],", - " '381': [ 'n02493793', 'spider_monkey' ],", - " '382': [ 'n02494079', 'squirrel_monkey' ],", - " '383': [ 'n02497673', 'Madagascar_cat' ],", - " '384': [ 'n02500267', 'indri' ],", - " '385': [ 'n02504013', 'Indian_elephant' ],", - " '386': [ 'n02504458', 'African_elephant' ],", - " '387': [ 'n02509815', 'lesser_panda' ],", - " '388': [ 'n02510455', 'giant_panda' ],", - " '389': [ 'n02514041', 'barracouta' ],", - " '390': [ 'n02526121', 'eel' ],", - " '391': [ 'n02536864', 'coho' ],", - " '392': [ 'n02606052', 'rock_beauty' ],", - " '393': [ 'n02607072', 'anemone_fish' ],", - " '394': [ 'n02640242', 'sturgeon' ],", - " '395': [ 'n02641379', 'gar' ],", - " '396': [ 'n02643566', 'lionfish' ],", - " '397': [ 'n02655020', 'puffer' ],", - " '398': [ 'n02666196', 'abacus' ],", - " '399': [ 'n02667093', 'abaya' ],", - " '400': [ 'n02669723', 'academic_gown' ],", - " '401': [ 'n02672831', 'accordion' ],", - " '402': [ 'n02676566', 'acoustic_guitar' ],", - " '403': [ 'n02687172', 'aircraft_carrier' ],", - " '404': [ 'n02690373', 'airliner' ],", - " '405': [ 'n02692877', 'airship' ],", - " '406': [ 'n02699494', 'altar' ],", - " '407': [ 'n02701002', 'ambulance' ],", - " '408': [ 'n02704792', 'amphibian' ],", - " '409': [ 'n02708093', 'analog_clock' ],", - " '410': [ 'n02727426', 'apiary' ],", - " '411': [ 'n02730930', 'apron' ],", - " '412': [ 'n02747177', 'ashcan' ],", - " '413': [ 'n02749479', 'assault_rifle' ],", - " '414': [ 'n02769748', 'backpack' ],", - " '415': [ 'n02776631', 'bakery' ],", - " '416': [ 'n02777292', 'balance_beam' ],", - " '417': [ 'n02782093', 'balloon' ],", - " '418': [ 'n02783161', 'ballpoint' ],", - " '419': [ 'n02786058', 'Band_Aid' ],", - " '420': [ 'n02787622', 'banjo' ],", - " '421': [ 'n02788148', 'bannister' ],", - " '422': [ 'n02790996', 'barbell' ],", - " '423': [ 'n02791124', 'barber_chair' ],", - " '424': [ 'n02791270', 'barbershop' ],", - " '425': [ 'n02793495', 'barn' ],", - " '426': [ 'n02794156', 'barometer' ],", - " '427': [ 'n02795169', 'barrel' ],", - " '428': [ 'n02797295', 'barrow' ],", - " '429': [ 'n02799071', 'baseball' ],", - " '430': [ 'n02802426', 'basketball' ],", - " '431': [ 'n02804414', 'bassinet' ],", - " '432': [ 'n02804610', 'bassoon' ],", - " '433': [ 'n02807133', 'bathing_cap' ],", - " '434': [ 'n02808304', 'bath_towel' ],", - " '435': [ 'n02808440', 'bathtub' ],", - " '436': [ 'n02814533', 'beach_wagon' ],", - " '437': [ 'n02814860', 'beacon' ],", - " '438': [ 'n02815834', 'beaker' ],", - " '439': [ 'n02817516', 'bearskin' ],", - " '440': [ 'n02823428', 'beer_bottle' ],", - " '441': [ 'n02823750', 'beer_glass' ],", - " '442': [ 'n02825657', 'bell_cote' ],", - " '443': [ 'n02834397', 'bib' ],", - " '444': [ 'n02835271', 'bicycle-built-for-two' ],", - " '445': [ 'n02837789', 'bikini' ],", - " '446': [ 'n02840245', 'binder' ],", - " '447': [ 'n02841315', 'binoculars' ],", - " '448': [ 'n02843684', 'birdhouse' ],", - " '449': [ 'n02859443', 'boathouse' ],", - " '450': [ 'n02860847', 'bobsled' ],", - " '451': [ 'n02865351', 'bolo_tie' ],", - " '452': [ 'n02869837', 'bonnet' ],", - " '453': [ 'n02870880', 'bookcase' ],", - " '454': [ 'n02871525', 'bookshop' ],", - " '455': [ 'n02877765', 'bottlecap' ],", - " '456': [ 'n02879718', 'bow' ],", - " '457': [ 'n02883205', 'bow_tie' ],", - " '458': [ 'n02892201', 'brass' ],", - " '459': [ 'n02892767', 'brassiere' ],", - " '460': [ 'n02894605', 'breakwater' ],", - " '461': [ 'n02895154', 'breastplate' ],", - " '462': [ 'n02906734', 'broom' ],", - " '463': [ 'n02909870', 'bucket' ],", - " '464': [ 'n02910353', 'buckle' ],", - " '465': [ 'n02916936', 'bulletproof_vest' ],", - " '466': [ 'n02917067', 'bullet_train' ],", - " '467': [ 'n02927161', 'butcher_shop' ],", - " '468': [ 'n02930766', 'cab' ],", - " '469': [ 'n02939185', 'caldron' ],", - " '470': [ 'n02948072', 'candle' ],", - " '471': [ 'n02950826', 'cannon' ],", - " '472': [ 'n02951358', 'canoe' ],", - " '473': [ 'n02951585', 'can_opener' ],", - " '474': [ 'n02963159', 'cardigan' ],", - " '475': [ 'n02965783', 'car_mirror' ],", - " '476': [ 'n02966193', 'carousel' ],", - " '477': [ 'n02966687', \"carpenter's_kit\" ],", - " '478': [ 'n02971356', 'carton' ],", - " '479': [ 'n02974003', 'car_wheel' ],", - " '480': [ 'n02977058', 'cash_machine' ],", - " '481': [ 'n02978881', 'cassette' ],", - " '482': [ 'n02979186', 'cassette_player' ],", - " '483': [ 'n02980441', 'castle' ],", - " '484': [ 'n02981792', 'catamaran' ],", - " '485': [ 'n02988304', 'CD_player' ],", - " '486': [ 'n02992211', 'cello' ],", - " '487': [ 'n02992529', 'cellular_telephone' ],", - " '488': [ 'n02999410', 'chain' ],", - " '489': [ 'n03000134', 'chainlink_fence' ],", - " '490': [ 'n03000247', 'chain_mail' ],", - " '491': [ 'n03000684', 'chain_saw' ],", - " '492': [ 'n03014705', 'chest' ],", - " '493': [ 'n03016953', 'chiffonier' ],", - " '494': [ 'n03017168', 'chime' ],", - " '495': [ 'n03018349', 'china_cabinet' ],", - " '496': [ 'n03026506', 'Christmas_stocking' ],", - " '497': [ 'n03028079', 'church' ],", - " '498': [ 'n03032252', 'cinema' ],", - " '499': [ 'n03041632', 'cleaver' ],", - " '500': [ 'n03042490', 'cliff_dwelling' ],", - " '501': [ 'n03045698', 'cloak' ],", - " '502': [ 'n03047690', 'clog' ],", - " '503': [ 'n03062245', 'cocktail_shaker' ],", - " '504': [ 'n03063599', 'coffee_mug' ],", - " '505': [ 'n03063689', 'coffeepot' ],", - " '506': [ 'n03065424', 'coil' ],", - " '507': [ 'n03075370', 'combination_lock' ],", - " '508': [ 'n03085013', 'computer_keyboard' ],", - " '509': [ 'n03089624', 'confectionery' ],", - " '510': [ 'n03095699', 'container_ship' ],", - " '511': [ 'n03100240', 'convertible' ],", - " '512': [ 'n03109150', 'corkscrew' ],", - " '513': [ 'n03110669', 'cornet' ],", - " '514': [ 'n03124043', 'cowboy_boot' ],", - " '515': [ 'n03124170', 'cowboy_hat' ],", - " '516': [ 'n03125729', 'cradle' ],", - " '517': [ 'n03126707', 'crane' ],", - " '518': [ 'n03127747', 'crash_helmet' ],", - " '519': [ 'n03127925', 'crate' ],", - " '520': [ 'n03131574', 'crib' ],", - " '521': [ 'n03133878', 'Crock_Pot' ],", - " '522': [ 'n03134739', 'croquet_ball' ],", - " '523': [ 'n03141823', 'crutch' ],", - " '524': [ 'n03146219', 'cuirass' ],", - " '525': [ 'n03160309', 'dam' ],", - " '526': [ 'n03179701', 'desk' ],", - " '527': [ 'n03180011', 'desktop_computer' ],", - " '528': [ 'n03187595', 'dial_telephone' ],", - " '529': [ 'n03188531', 'diaper' ],", - " '530': [ 'n03196217', 'digital_clock' ],", - " '531': [ 'n03197337', 'digital_watch' ],", - " '532': [ 'n03201208', 'dining_table' ],", - " '533': [ 'n03207743', 'dishrag' ],", - " '534': [ 'n03207941', 'dishwasher' ],", - " '535': [ 'n03208938', 'disk_brake' ],", - " '536': [ 'n03216828', 'dock' ],", - " '537': [ 'n03218198', 'dogsled' ],", - " '538': [ 'n03220513', 'dome' ],", - " '539': [ 'n03223299', 'doormat' ],", - " '540': [ 'n03240683', 'drilling_platform' ],", - " '541': [ 'n03249569', 'drum' ],", - " '542': [ 'n03250847', 'drumstick' ],", - " '543': [ 'n03255030', 'dumbbell' ],", - " '544': [ 'n03259280', 'Dutch_oven' ],", - " '545': [ 'n03271574', 'electric_fan' ],", - " '546': [ 'n03272010', 'electric_guitar' ],", - " '547': [ 'n03272562', 'electric_locomotive' ],", - " '548': [ 'n03290653', 'entertainment_center' ],", - " '549': [ 'n03291819', 'envelope' ],", - " '550': [ 'n03297495', 'espresso_maker' ],", - " '551': [ 'n03314780', 'face_powder' ],", - " '552': [ 'n03325584', 'feather_boa' ],", - " '553': [ 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'thresher' ],", - " '857': [ 'n04429376', 'throne' ],", - " '858': [ 'n04435653', 'tile_roof' ],", - " '859': [ 'n04442312', 'toaster' ],", - " '860': [ 'n04443257', 'tobacco_shop' ],", - " '861': [ 'n04447861', 'toilet_seat' ],", - " '862': [ 'n04456115', 'torch' ],", - " '863': [ 'n04458633', 'totem_pole' ],", - " '864': [ 'n04461696', 'tow_truck' ],", - " '865': [ 'n04462240', 'toyshop' ],", - " '866': [ 'n04465501', 'tractor' ],", - " '867': [ 'n04467665', 'trailer_truck' ],", - " '868': [ 'n04476259', 'tray' ],", - " '869': [ 'n04479046', 'trench_coat' ],", - " '870': [ 'n04482393', 'tricycle' ],", - " '871': [ 'n04483307', 'trimaran' ],", - " '872': [ 'n04485082', 'tripod' ],", - " '873': [ 'n04486054', 'triumphal_arch' ],", - " '874': [ 'n04487081', 'trolleybus' ],", - " '875': [ 'n04487394', 'trombone' ],", - " '876': [ 'n04493381', 'tub' ],", - " '877': [ 'n04501370', 'turnstile' ],", - " '878': [ 'n04505470', 'typewriter_keyboard' ],", - " '879': [ 'n04507155', 'umbrella' ],", - " '880': [ 'n04509417', 'unicycle' ],", - " '881': [ 'n04515003', 'upright' ],", - " '882': [ 'n04517823', 'vacuum' ],", - " '883': [ 'n04522168', 'vase' ],", - " '884': [ 'n04523525', 'vault' ],", - " '885': [ 'n04525038', 'velvet' ],", - " '886': [ 'n04525305', 'vending_machine' ],", - " '887': [ 'n04532106', 'vestment' ],", - " '888': [ 'n04532670', 'viaduct' ],", - " '889': [ 'n04536866', 'violin' ],", - " '890': [ 'n04540053', 'volleyball' ],", - " '891': [ 'n04542943', 'waffle_iron' ],", - " '892': [ 'n04548280', 'wall_clock' ],", - " '893': [ 'n04548362', 'wallet' ],", - " '894': [ 'n04550184', 'wardrobe' ],", - " '895': [ 'n04552348', 'warplane' ],", - " '896': [ 'n04553703', 'washbasin' ],", - " '897': [ 'n04554684', 'washer' ],", - " '898': [ 'n04557648', 'water_bottle' ],", - " '899': [ 'n04560804', 'water_jug' ],", - " '900': [ 'n04562935', 'water_tower' ],", - " '901': [ 'n04579145', 'whiskey_jug' ],", - " '902': [ 'n04579432', 'whistle' ],", - " '903': [ 'n04584207', 'wig' ],", - " '904': [ 'n04589890', 'window_screen' ],", - " '905': [ 'n04590129', 'window_shade' ],", - " '906': [ 'n04591157', 'Windsor_tie' ],", - " '907': [ 'n04591713', 'wine_bottle' ],", - " '908': [ 'n04592741', 'wing' ],", - " '909': [ 'n04596742', 'wok' ],", - " '910': [ 'n04597913', 'wooden_spoon' ],", - " '911': [ 'n04599235', 'wool' ],", - " '912': [ 'n04604644', 'worm_fence' ],", - " '913': [ 'n04606251', 'wreck' ],", - " '914': [ 'n04612504', 'yawl' ],", - " '915': [ 'n04613696', 'yurt' ],", - " '916': [ 'n06359193', 'web_site' ],", - " '917': [ 'n06596364', 'comic_book' ],", - " '918': [ 'n06785654', 'crossword_puzzle' ],", - " '919': [ 'n06794110', 'street_sign' ],", - " '920': [ 'n06874185', 'traffic_light' ],", - " '921': [ 'n07248320', 'book_jacket' ],", - " '922': [ 'n07565083', 'menu' ],", - " '923': [ 'n07579787', 'plate' ],", - " '924': [ 'n07583066', 'guacamole' ],", - " '925': [ 'n07584110', 'consomme' ],", - " '926': [ 'n07590611', 'hot_pot' ],", - " '927': [ 'n07613480', 'trifle' ],", - " '928': [ 'n07614500', 'ice_cream' ],", - " '929': [ 'n07615774', 'ice_lolly' ],", - " '930': [ 'n07684084', 'French_loaf' ],", - " '931': [ 'n07693725', 'bagel' ],", - " '932': [ 'n07695742', 'pretzel' ],", - " '933': [ 'n07697313', 'cheeseburger' ],", - " '934': [ 'n07697537', 'hotdog' ],", - " '935': [ 'n07711569', 'mashed_potato' ],", - " '936': [ 'n07714571', 'head_cabbage' ],", - " '937': [ 'n07714990', 'broccoli' ],", - " '938': [ 'n07715103', 'cauliflower' ],", - " '939': [ 'n07716358', 'zucchini' ],", - " '940': [ 'n07716906', 'spaghetti_squash' ],", - " '941': [ 'n07717410', 'acorn_squash' ],", - " '942': [ 'n07717556', 'butternut_squash' ],", - " '943': [ 'n07718472', 'cucumber' ],", - " '944': [ 'n07718747', 'artichoke' ],", - " '945': [ 'n07720875', 'bell_pepper' ],", - " '946': [ 'n07730033', 'cardoon' ],", - " '947': [ 'n07734744', 'mushroom' ],", - " '948': [ 'n07742313', 'Granny_Smith' ],", - " '949': [ 'n07745940', 'strawberry' ],", - " '950': [ 'n07747607', 'orange' ],", - " '951': [ 'n07749582', 'lemon' ],", - " '952': [ 'n07753113', 'fig' ],", - " '953': [ 'n07753275', 'pineapple' ],", - " '954': [ 'n07753592', 'banana' ],", - " '955': [ 'n07754684', 'jackfruit' ],", - " '956': [ 'n07760859', 'custard_apple' ],", - " '957': [ 'n07768694', 'pomegranate' ],", - " '958': [ 'n07802026', 'hay' ],", - " '959': [ 'n07831146', 'carbonara' ],", - " '960': [ 'n07836838', 'chocolate_sauce' ],", - " '961': [ 'n07860988', 'dough' ],", - " '962': [ 'n07871810', 'meat_loaf' ],", - " '963': [ 'n07873807', 'pizza' ],", - " '964': [ 'n07875152', 'potpie' ],", - " '965': [ 'n07880968', 'burrito' ],", - " '966': [ 'n07892512', 'red_wine' ],", - " '967': [ 'n07920052', 'espresso' ],", - " '968': [ 'n07930864', 'cup' ],", - " '969': [ 'n07932039', 'eggnog' ],", - " '970': [ 'n09193705', 'alp' ],", - " '971': [ 'n09229709', 'bubble' ],", - " '972': [ 'n09246464', 'cliff' ],", - " '973': [ 'n09256479', 'coral_reef' ],", - " '974': [ 'n09288635', 'geyser' ],", - " '975': [ 'n09332890', 'lakeside' ],", - " '976': [ 'n09399592', 'promontory' ],", - " '977': [ 'n09421951', 'sandbar' ],", - " '978': [ 'n09428293', 'seashore' ],", - " '979': [ 'n09468604', 'valley' ],", - " '980': [ 'n09472597', 'volcano' ],", - " '981': [ 'n09835506', 'ballplayer' ],", - " '982': [ 'n10148035', 'groom' ],", - " '983': [ 'n10565667', 'scuba_diver' ],", - " '984': [ 'n11879895', 'rapeseed' ],", - " '985': [ 'n11939491', 'daisy' ],", - " '986': [ 'n12057211', \"yellow_lady's_slipper\" ],", - " '987': [ 'n12144580', 'corn' ],", - " '988': [ 'n12267677', 'acorn' ],", - " '989': [ 'n12620546', 'hip' ],", - " '990': [ 'n12768682', 'buckeye' ],", - " '991': [ 'n12985857', 'coral_fungus' ],", - " '992': [ 'n12998815', 'agaric' ],", - " '993': [ 'n13037406', 'gyromitra' ],", - " '994': [ 'n13040303', 'stinkhorn' ],", - " '995': [ 'n13044778', 'earthstar' ],", - " '996': [ 'n13052670', 'hen-of-the-woods' ],", - " '997': [ 'n13054560', 'bolete' ],", - " '998': [ 'n13133613', 'ear' ],", - " '999': [ 'n15075141', 'toilet_tissue' ]", - "}", + "Result: curly-coated_retriever", "" ] } From 7df5c30eb857e086e411b205de4e345b238d5fd7 Mon Sep 17 00:00:00 2001 From: Vishniakov Nikolai Date: Mon, 18 Sep 2023 17:06:53 +0200 Subject: [PATCH 8/8] Use offset in class mapping --- samples/js/node/notebooks/001-hello-world.nnb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/samples/js/node/notebooks/001-hello-world.nnb b/samples/js/node/notebooks/001-hello-world.nnb index 334c8a05770071..8e464619bf703e 100644 --- a/samples/js/node/notebooks/001-hello-world.nnb +++ b/samples/js/node/notebooks/001-hello-world.nnb @@ -145,7 +145,7 @@ { "language": "javascript", "source": [ - "const imagenetClassesMap = require('../../assets/datasets/imagenet_class_index.json');\n\nconsole.log(`Result: ${imagenetClassesMap[resultIndex][1]}`);" + "const imagenetClassesMap = require('../../assets/datasets/imagenet_class_index.json');\nconst imagenetClasses = ['background', ...Object.values(imagenetClassesMap)];\n\nconsole.log(`Result: ${imagenetClasses[resultIndex][1]}`);" ], "outputs": [ { @@ -153,7 +153,7 @@ { "mime": "application/vnd.code.notebook.stdout", "value": [ - "Result: curly-coated_retriever", + "Result: flat-coated_retriever", "" ] }