Merge pull request #8 from haozech/develop_chz

compataible with webgl1.0; rewrite sorting algorithm of ops; fix bugs

src/feed/ImageFeed.es6

@@ -151,8 +151,6 @@ export default class imageFeed {
                 }
             }
         }
-        console.log('this is the end of reshapetorgb !!!');
-        console.dir(result);
         return result;
     };
 
@@ -164,7 +162,6 @@ export default class imageFeed {
      * @return {Object} 缩放后的尺寸
      */
     reSize(image, params) {
-        console.log('execute resize!!');
         // 原始图片宽高
         const width = this.pixelWidth;
         const height = this.pixelHeight;
@@ -192,7 +189,6 @@ export default class imageFeed {
      * 根据scale缩放图像并且缩放成目标尺寸并居中
      */
     resizeAndFitTargetSize(image, params){
-        console.log('execute resizeAndFitTargetSize!!');
         // 原始图片宽高
         const width = this.pixelWidth;
         const height = this.pixelHeight;
@@ -249,7 +245,6 @@ export default class imageFeed {
             sh = Math.round(sw * this.pixelHeight / this.pixelWidth);
             y = Math.floor((targetHeight - sh) / 2);
         }
-        // console.log(x, y, sw, sh);
         if (center) {
             this.fromPixels2DContext.drawImage(
                 image, x, y, sw, sh);
@@ -327,24 +322,18 @@ export default class imageFeed {
                 data = this.resizeAndFitTargetSize(pixels, opt);
                 data2 = this.fromPixels2DContext2.getImageData(0, 0, this.pixelWidth, this.pixelHeight);
             }
-            else if (opt.scale) { // 兼容以前的，如果有scale就是短边缩放到scale模式
-               
+            else if (opt.scale) { // 直接resize到targetShape Humanseg的情况
                 scaleSize = this.reSize(pixels, opt);
-                console.dir(scaleSize);
-                console.dir(pixels);
                 data = this.getImageData(opt, 0, 0, scaleSize);
-                
                 data2 = this.fromPixels2DContext2.getImageData(0, 0, this.pixelWidth, this.pixelHeight);
             }
             else if (opt.targetSize) { // 如果有targetSize，就是装在目标宽高里的模式 TinyYolo的情况
-                
                 scaleSize = this.fitToTargetSize(pixels, opt);
                 data = this.getImageData(opt, 0, 0, scaleSize);
                 data2 = this.fromPixels2DContext2.getImageData(0, 0, this.pixelWidth, this.pixelHeight);
             }
         }
 
-
         if (opt.gray) {
             data = grayscale(data);
         }
@@ -359,6 +348,7 @@ export default class imageFeed {
         else if (opt.targetShape) {
             data = this.allReshapeToRGB(data, opt, scaleSize);
         }
+
         return [{data: data, shape: opt.shape || opt.targetShape, name: 'image', canvas: data2}];
     }
 }

src/gpu/gpu.es6

@@ -51,6 +51,10 @@ export default class gpu {
                 console.log('float extension is started or not? ' + !!this.textureFloat);
             }
         }
+
+        this.maxTextureSize = gl.getParameter(gl.MAX_TEXTURE_SIZE);
+        this.maxTextureImageUnits = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);
+
         // 关闭相关功能
         gl.disable(gl.DEPTH_TEST);
         gl.disable(gl.STENCIL_TEST);
@@ -67,14 +71,22 @@ export default class gpu {
         this.waits = 0;
 
         console.log('WebGl版本是 ' + this.version);
-        console.log('MAX_TEXTURE_SIZE is ' + gl.getParameter(gl.MAX_TEXTURE_SIZE));
-        console.log('MAX_TEXTURE_IMAGE_UNITS is ' + gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS));
+        console.log('MAX_TEXTURE_SIZE is ' + this.maxTextureSize);
+        console.log('MAX_TEXTURE_IMAGE_UNITS is ' + this.maxTextureImageUnits);
     }
 
     getWebglVersion() {
         return this.version;
     }
 
+    getWebglMaxTextureSize() {
+        return this.maxTextureSize;
+    }
+
+    getWebglMaxTextureImageUnits() {
+        return this.maxTextureImageUnits;
+    }
+
     initCache() {
         // 运行次数
         this.times = 0;
@@ -145,7 +157,6 @@ export default class gpu {
         gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
         gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
         gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
-
         gl.texImage2D(gl.TEXTURE_2D, // Target, matches bind above.
             0,             // Level of detail.
             this.downloadInternalFormat,       // Internal format.
@@ -346,6 +357,7 @@ export default class gpu {
         } else {
             // texture = gl.createTexture();
             if (isRendered && (iLayer > 0 || (iLayer === 0 && item.tensor !== 'origin'))) {
+
                 const tData = this.cacheTextures['' + iLayer];
                 texture = tData[item.variable + '_' + item.tensor];
             } else {
@@ -361,6 +373,7 @@ export default class gpu {
             gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
             gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
             gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
+            if (this.version == 2){
             gl.texImage2D(gl.TEXTURE_2D,
                 0,
                 this.internalFormat,
@@ -369,8 +382,27 @@ export default class gpu {
                 0,
                 this.textureFormat,
                 gl.FLOAT,
-                item.data,
-                0);
+                item.data);
+            }
+            else {
+                let oneSize = item.width_texture * item.height_texture;
+                let temp = new Float32Array(item.width_texture * item.height_texture * 4);
+                for (let i = 0; i < item.data.length; i++){
+                    temp[i*4] = (item.data[i]);
+                    temp[i*4+1] = 0;
+                    temp[i*4+2] = 0;
+                    temp[i*4+3] = 0;
+                }
+                gl.texImage2D(gl.TEXTURE_2D,
+                0,
+                gl.RGBA,
+                item.width_texture,
+                item.height_texture,
+                0,
+                gl.RGBA,
+                gl.FLOAT,
+                temp);
+            }
         }
     }
 
@@ -389,7 +421,7 @@ export default class gpu {
     // 生成帧缓存的texture
     makeTexure(type, data, opts = {}) {
         const gl = this.gl;
-        let index = this.textureBufferIndex % 2;
+        let index = int(mod(float(this.textureBufferIndex), 2.0));
         let texture = this.textureBuffer[index];
         gl.bindTexture(gl.TEXTURE_2D, texture);
 
@@ -429,6 +461,7 @@ export default class gpu {
     }
 
     createPBO() {
+        if (this.version == 2){
         const gl2 = this.gl;
         const buffer = this.pbo;
         gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);
@@ -437,42 +470,40 @@ export default class gpu {
         gl2.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl2.RGBA, gl2.FLOAT, 0);
         gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);
         return buffer;
+        }
+        else {
+        let buffer = new Float32Array(this.width_texture_out * this.height_texture_out * 4);
+        const gl2 = this.gl;
+        gl2.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl2.RGBA, gl2.FLOAT, buffer);
+        return buffer;
+        }
     }
 
     downloadFoat32TensorFromBuffer(buffer) {
         const gl2 = this.gl;
         const size = 4 * this.width_texture_out * this.height_texture_out;
+        if (this.version == 2){
         const pixels = new Float32Array(size);
         gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);
         gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, pixels);
         gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);
-        // log.start('后处理-readloop');
-        // let result = [];
-        // let offset = 0;
-        // for (let h = 0; h < this.height_texture_out; h++) {
-        //     // 纪录第1和2行数据
-        //     let temp1 = [];
-        //     let temp2 = [];
-        //     for (let w = 0; w < this.width_texture_out; w++) {
-        //         temp1.push(pixels[offset]);
-        //         temp1.push(pixels[offset + 1]);
-        //         temp2.push(pixels[offset + 2]);
-        //         temp2.push(pixels[offset + 3]);
-        //         offset += 4;
-        //     }
-        //     result = result.concat(temp1);
-        //     result = result.concat(temp2);
-        // }
         let result = [];
         for (let i = 0; i < this.width_texture_out * this.height_texture_out; i++) {
             result.push(pixels[4 * i]);
         }
-        // const result = Array.prototype.slice.call(pixels);
-        // console.dir(['result', result]);
-        // log.end('后处理-readloop');
         return result;
+        }
+        else {
+        let pixels = buffer;
+        let result = [];
+        for (let i = 0; i < this.width_texture_out * this.height_texture_out; i++) {
+            result.push(pixels[4 * i]);
+        }
+        return result;
+        }
     }
 
+
     getWebglError(status) {
         const gl2 = this.gl;
         switch (status) {
@@ -497,7 +528,7 @@ export default class gpu {
 
     createAndWaitForFence() {
         const gl2 = this.gl;
-        const isFenceEnabled = (gl2.fenceSync !== null);
+        const isFenceEnabled = (gl2.fenceSync != null);
         let isFencePassed = () => true;
         if (isFenceEnabled) {
             const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);
@@ -531,10 +562,8 @@ export default class gpu {
         let pixels = new Float32Array(this.width_texture_out * this.height_texture_out * 4);
         // gl.pixelStorei(gl.UNPACK_ALIGNMENT, 1);
         const tt2 = +Date.now();
-        gl.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl.RGBA, gl.FLOAT, pixels, 0);
+        gl.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl.RGBA, gl.FLOAT, pixels);
         // console.log('本次读取数据时间是' + (+Date.now() - tt2)+ ',' + (tt2 - tt));
-        // log.end('后处理-readinside');
-        // log.start('后处理-readloop');
         let result = [];
         for (let i = 0; i < this.width_texture_out * this.height_texture_out; i++) {
             result.push(pixels[4 * i]);

src/graph/graph.es6

 /* eslint-disable */
 import GraphExecutor from '../executor/executor';
-import IO from '../feed/imageFeed';
 import Runtime from '../runtime/runtime';
 import OpData from '../utils/opData';
 import Factory from '../factory/fshader/factory';
@@ -92,9 +91,14 @@ export default class Graph {
             return;
         }
         opindex++;
-        // console.log(opindex);
-        //if (executor.opData) console.log(executor.opData.iLayer);
         executor.execute(this.inst, this.isExecuted);
+        if (false && executor.opData && opindex >= 184){
+            console.log('return!');
+            console.dir(executor);
+            console.dir(executor.type);
+            console.dir(this);
+            return;
+        }
         if (executor.next) {
             const id = executor.next;
             const next = this.getTensor(id);
@@ -199,105 +203,63 @@ export default class Graph {
         });
     }
 
-    execute_try(temp, ops, idtoindex, executed, inline, prev){
-        console.log('execute_try!first look at this op');
-        console.log(ops[temp]);
-        let canrun = this.checkifcanrun(temp, ops, idtoindex, executed);
-        if (canrun === false) {
-            // console.log('canrun === false!');
-            var a = inline.pop();
-            this.execute_try(idtoindex[a.id], ops, idtoindex, executed, inline, prev);
-            return;
-        }
-        if (prev >=0) {
-            ops[prev].next = ops[temp].id;
-        }
-        ops[temp].outputsName.forEach(function(item, index) {
-            executed[item] = true;
-        })
-        let next = this.getNextByOp(ops, ops[temp]);
-        // console.log('this is its next:');
-        // console.dir(next);
-        while (next.length === 1) {
-            let flag = true;
-            for (let i = 0; i < next[0].inputsName.length; i++){
-                if (executed[next[0].inputsName[i]] === false) flag = false;
-            }
-            if (flag === false) {
-                // console.log('can not execute next now! jump to another op:');
-
-                if (inline.length === 0) return;
-                prev = temp;
-                let a = inline.pop();
-                // console.dir(a);
-                ops[temp].next = a.id;
-                temp = idtoindex[a.id];
-                this.execute_try(temp, ops, idtoindex, executed, inline, prev);
-                return;
-            }
-            else {
-                // console.log('now execute next op! it is');
-                ops[temp].next = next[0].id;
-                temp = idtoindex[next[0].id];
-                // console.dir(ops[temp]);
-                next = this.getNextByOp(ops, ops[temp]);
-                // console.log('its next is: ');
-                ops[temp].outputsName.forEach(function(item, index) {
-                    executed[item] = true;
-                })
-                // console.dir(next);
-            }
-        }
-        if (next.length > 1){
-            // console.log('next.length > 1!!!');
-            for (let i = next.length - 1; i >=0 ; i--){
-                 inline.push(next[i]);
-            }
-
-            var a = inline.pop();
-            this.execute_try(idtoindex[a.id], ops, idtoindex, executed, inline, temp);
-        }
-        return;
-    }
 
 
     arrangeMap(ops) {
-        // console.log('arrangeMap!');
-        // console.dir(ops);
-        var idtoindex = {};
         var executed = {};
-        var inline = [];
+        var inIndex = [];
+        var idtoindex = {};
         let temp = 0;
-        // console.log('graph ops:');
-        // console.dir(ops);
         let ops1 = ops;
         ops1.forEach(function(item, index) {
-            idtoindex[item.id] = index;
-            // console.dir(item);
             item.outputsName.forEach(function(i, idx){
-                executed[i] = false;
+                executed[i] = true;
             })
         });
 
-        //ops[0].inputsName[0] = {name : "feed"};
-       // ops[0].outputsName[0] = {name : "image"};
-        this.execute_try(temp, ops, idtoindex, executed, inline, -1);
+         ops1.forEach(function(item, index) {
+            inIndex[index] = 0;
+            idtoindex[item.id] = index;
+            if (item.inputsName.length > 1) {
+                item.inputsName.forEach(function(i,idx){
+                    if (executed[i] == true) inIndex[index]++;
+                })
+            }
+            else inIndex[index] = item.inputsName.length;
+        });
+        this.topoSort(ops, inIndex, idtoindex);
         return ops;
     }
 
-    checkifcanrun(temp, ops, executed){
-        if (!ops[temp].inputsName) return true;
-        for (let i = 0; i < ops[temp].inputsName.length; i++){
-                if (executed[ops[temp].inputsName[i]] === false)  return false;
+    topoSort(ops, inIndex, idtoindex){
+        var inline = [];
+        inline.push(ops[0]);
+        let ops_temp = ops.slice(0);
+        let prev = null;
+        let a = ops[0];
+        while(inline.length > 0){
+            if (prev != null) ops[idtoindex[prev.id]].next = a.id;
+            prev = a;
+            a = inline.pop();
+            for (let i = 0; i < a.outputsName.length; i++){
+                for (let k = 0; k < ops_temp.length; k++){
+                    for (let j = 0; j < ops_temp[k].inputsName.length; j++){
+                        if (ops_temp[k].inputsName[j] == a.outputsName[i]) {
+                            inIndex[idtoindex[ops_temp[k].id]]--;
+                            if (inIndex[idtoindex[ops_temp[k].id]] == 0){
+                                inline.push(ops[idtoindex[ops_temp[k].id]]);
+                                ops_temp.splice(k,1);
+                                k--;
+                                break;
+                            }
+                        }
+                    }
+                }
+            }
         }
-        return true;
     }
 
 
-
-
-
-
     /**
      * Get Ops Nets Start Node
      * @param ops
@@ -348,8 +310,6 @@ export default class Graph {
      * @returns {*}
      */
     createOpsMap(ops) {
-        // console.log('ops!!');
-        // console.dir(ops);
         return ops.map((item, idx) => {
             item.idx = idx;
             const graphExecutor = new GraphExecutor(item);
@@ -372,17 +332,6 @@ export default class Graph {
         });
     }
 
-    getNextByOp(ops, op) {
-        return ops.filter((item, key) => {
-            for (let i = 0; i < item.inputsName.length; i++) {
-                for(let j = 0; j < op.outputsName.length; j++) {
-                    if (item.inputsName[i] === op.outputsName[j]) {
-                        return true;
-                    }
-                }
-            }
-        });
-    }
     /**
      * dispose
      */

src/loader/loader.es6

@@ -109,8 +109,9 @@ export default class Loader  {
         const TMP_REGEX = /\-/;
         let requesterArr = arr.map(item => {
             if (item.name
-                && item.name.match(TMP_SCHEME_REGEX) === null
-                && item.name.match(TMP_REGEX) === null) {
+                // && item.name.match(TMP_SCHEME_REGEX) === null
+                // && item.name.match(TMP_REGEX) === null
+                ) {
                 return this.fetchData(item.name).then(data => item.data = data);
             }
             return Promise.resolve();
@@ -124,9 +125,9 @@ export default class Loader  {
         let marker = 0; // 读到哪个位置了
         let len; // 当前op长度
         arr.filter(item => {
-            return item.name
-                && item.name.match(TMP_SCHEME_REGEX) === null
-                && item.name.match(TMP_REGEX) === null;
+            return item.name;
+                // && item.name.match(TMP_SCHEME_REGEX) === null
+                // && item.name.match(TMP_REGEX) === null;
             })
             // .sort((a, b) => {
             //     if (a.name > b.name) {

src/paddle/paddle.es6

@@ -48,13 +48,9 @@ export default class Paddle {
         that.graph = graph;
         that.graph.data = artifacts.data;
         that.graph.formatWeight(that.graph.data.vars);
-        const opsMap = that.graph.createOpsMap(that.graph.data.ops, that.graph.data.vars);
+        const opsMap = that.graph.createOpsMap(that.graph.data.ops);
         const opsMap1 = that.graph.constructOpsMap(opsMap);
-        // console.log('opsMap1!');
-        // console.dir(opsMap1);
         const opsMap2 = that.graph.arrangeMap(opsMap1);
-        // console.log('opsMap2!');
-        // console.dir(opsMap2);
         that.graph.weightMap = opsMap2;
     }
     /**
@@ -68,10 +64,10 @@ export default class Paddle {
         this.feed = this.graph.feed = inputs;
         // 生成op数据
         if (!this.graph.isExecuted) {
-            this.graph.weightMap.forEach(op => {
+            this.graph.weightMap.forEach((op, index) => {
                 const type = op.type;
                 if (type !== 'feed' && type !== 'fetch') {
-                    console.log(op.type);
+
                     that.graph.buildOpData(op);
                 }
             });
@@ -81,7 +77,6 @@ export default class Paddle {
     }
     updateFeed() {
         this.graph.feedItem.data = this.graph.feed.input[0].data;
-        // Utils.img2texture(this.graph.feedItem);
     }
     /**
      * dispose

src/runtime/runtime.es6

@@ -2,9 +2,6 @@
 import Gpu from '../gpu/gpu';
 import getMaxUniforms from '../test/getMaxUniforms';
 import Factory from '../factory/fshader/factory';
-// import {getTextureShapeInfo} from '../utils/opData';
-// 生成factory实例
-// const factory = new Factory({});
 /**
  * @file gpu运行时
  * @author wangqun@baidu.com, yangmingming@baidu.com
@@ -29,6 +26,14 @@ export default {
         return this.gpu.getWebglVersion();
     },
 
+    getWebglMaxTextureSize() {
+        return this.gpu.maxTextureSize();
+    },
+
+    getWebglMaxTextureImageUnits() {
+        return this.gpu.maxTextureImageUnits();
+    },
+
     run(opName, opData, isRendered) {
         // console.dir(['fscode', opData.fsCode]);
         // let time = +Date.now();
@@ -64,6 +69,7 @@ export default {
                 this.gpu.render(opData.renderData, opData.iLayer, isRendered);
              // }
         });
+
     },
 
     /**

src/shader/atom/getValueFromTensorPos.es6

@@ -7,29 +7,38 @@
 export default `
 // 根据tensor坐标获取这个tensor位置的值
 float getValueFromTensorPos_TENSOR_NAME(int r, int g, int b, int a) {
-    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME, 
+    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,
         vec2(
-            (float(a * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME), 
+            (float(a * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),
             (float(r * height_shape_TENSOR_NAME + b) + 0.5) / float(height_texture_TENSOR_NAME)
         )
     );
     // 只用了r通道
     return pixels.r;
 }
-// 紧凑型布局根据tensor坐标获取这个tensor位置的值
+
+// 超限布局根据tensor坐标获取这个tensor位置的值
 float getValueFromTensorPosLimit_TENSOR_NAME(int r, int g, int b, int a) {
-    float halfW = ceil(float(width_shape_TENSOR_NAME) / 2.0);
-    int x = int(mod(float(a), halfW));
+    float pieceW = ceil(float(width_shape_TENSOR_NAME) / 4.0);
+    int x = int(mod(float(a), pieceW));
     int offsetY = 0;
-    if (a > x) {
+
+    if ((float(a) / pieceW) >= 3.0) {
+        offsetY = 3 * height_shape_TENSOR_NAME;
+    }
+    else if (float(a) / pieceW >= 2.0) {
+        offsetY = 2 * height_shape_TENSOR_NAME;
+    }
+    else if (float(a) >= pieceW) {
         offsetY = height_shape_TENSOR_NAME;
     }
-    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME, 
+    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,
         vec2(
-            (float(x * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME), 
-            (float(r * 2 * height_shape_TENSOR_NAME + b + offsetY) + 0.5) / float(height_texture_TENSOR_NAME)
+            (float(x * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),
+            (float(r * 4 * height_shape_TENSOR_NAME + b + offsetY) + 0.5) / float(height_texture_TENSOR_NAME)
         )
     );
     return pixels.r;
 }
+
 `;

src/shader/atom/prefix.es6

@@ -8,11 +8,13 @@ export default `
     precision highp float;
     precision highp int;
 #else
-    precision mediump float;
-    precision mediump int;
+    precision highp float;
+    precision highp int;
 #endif
-
+    varying vec2 vCoord;
+    varying vec4 outColor;
     void setOutput(float result) {
-        gl_FragColor.r = result;
+            gl_FragColor.r = result;
     }
 `;
+

src/shader/atom/suffix.es6

@@ -15,17 +15,18 @@ ivec4 getOutputTensorPos() {
     return ivec4(b, c, y, x);
 }
 
+
 ivec4 getOutputTensorPosLimit() {
     // 获取原始长度
     vec2 outCoord = vCoord.xy * _2d_shape_texture_out;
     float offsetY = floor(outCoord.y / float(height_shape_out));
     int x = int(outCoord.x / float(channel_out));
-    if (mod(offsetY, 2.0) > 0.0) {
-        x += int(ceil(float(width_shape_out) / 2.0));
+    if (mod(offsetY, 4.0) > 0.0) {
+        x += int(mod(offsetY, 4.0)) * int(ceil(float(width_shape_out) / 4.0));
     }
     int y = int(mod(outCoord.y, float(height_shape_out)));
     int c = int(mod(outCoord.x, float(channel_out)));
-    int b = int(outCoord.y / float(2 * height_shape_out));
+    int b = int(outCoord.y / float(4 * height_shape_out));
     return ivec4(b, c, y, x);
 }
 

src/shader/atom/transferFromNHWCtoNCHW.es6

@@ -10,13 +10,13 @@ export default `
 ivec4 transferFromNHWCtoNCHW( int sumVal,  const int channel, const int width_shape, const int height_shape, const int total_shape) {
 
 	int n_origin = int(total_shape/(channel * width_shape * height_shape));
-	int new_a = sumVal % width_shape;
+	int new_a = int(mod(float(sumVal), float(width_shape)));
 	sumVal = int((sumVal - new_a) / width_shape);
-	int new_b = sumVal % height_shape;
+	int new_b = int(mod(float(sumVal), float(height_shape)));
 	sumVal = int((sumVal - new_b) / height_shape);
-	int new_g = sumVal % channel;
+	int new_g = int(mod(float(sumVal), float(channel)));
 	sumVal = int((sumVal - new_g) / channel);
-	int new_r = sumVal % n_origin;
+	int new_r = int(mod(float(sumVal), float(n_origin)));
 	return ivec4(new_r,new_g,new_b,new_a);
 }
 `;

src/shader/batchnorm/main.es6

@@ -7,14 +7,14 @@ export default `
 // start函数
 void main(void) {
     // 输出数据
-    ivec4 oPos = getOutputTensorPos();
-    float o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);
+    ivec4 oPos = getOutputTensorPosLIMIT_OUT();
+    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);
 
     // 归一化数据
-    vec4 scale = getPixelsFromTexturePos_texture_scale(vec2( float(oPos.g) / float(width_texture_scale), 0.0));
-    vec4 bias = getPixelsFromTexturePos_texture_bias(vec2((float(oPos.g)) / float(width_texture_bias), 0.0));
-    vec4 mean = getPixelsFromTexturePos_texture_mean(vec2((float(oPos.g)) / float(width_texture_mean), 0.0));
-    vec4 variance = getPixelsFromTexturePos_texture_variance(vec2((float(oPos.g)) / float(width_texture_variance), 0.0));
+    vec4 scale = getPixelsFromTexturePos_texture_scale(vec2((float(oPos.g) + 0.5) / float(width_texture_scale), 0.0));
+    vec4 bias = getPixelsFromTexturePos_texture_bias(vec2((float(oPos.g) + 0.5) / float(width_texture_bias), 0.0));
+    vec4 mean = getPixelsFromTexturePos_texture_mean(vec2((float(oPos.g) + 0.5) / float(width_texture_mean), 0.0));
+    vec4 variance = getPixelsFromTexturePos_texture_variance(vec2((float(oPos.g) + 0.5) / float(width_texture_variance), 0.0));
 
     float x = (o - mean[0]) / sqrt(variance[0] + epsilon);
     float res = scale[0] * x + bias[0];

src/shader/bilinear_interp/conf.es6

+/* eslint-disable */
+/**
+ * @file bilinear_interp的配置文件
+ * @author chenhaoze
+ */
+export default {
+    dep: [
+		{
+			func: 'getValueFromTensorPos',
+			conf: {
+				TENSOR_NAME: 'origin'
+			}
+		},
+		{
+			func: 'transferFromNHWCtoNCHW',
+			conf:{
+			}
+		}
+    ],
+    conf: [
+		'WIDTH_SHAPE_ORIGIN',
+		'HEIGHT_SHAPE_ORIGIN',
+		'LENGTH_SHAPE_ORIGIN',
+		'WIDTH_TEXTURE_ORIGIN',
+		'HEIGHT_TEXTURE_ORIGIN',
+		'CHANNEL_ORIGIN',
+		'WIDTH_SHAPE_OUT',
+		'HEIGHT_SHAPE_OUT',
+		'WIDTH_TEXTURE_OUT',
+		'HEIGHT_TEXTURE_OUT',
+		'CHANNEL_OUT',
+		'OFFSET_Y_OUT',
+		'MULTI_VALUE',
+		'BIAS_VALUE',
+		'ACTIVE_FUNCTION'
+    ],
+    input: [
+			{
+				tensor: 'origin',
+				variable: 'texture',
+				setter: 'initTexture',
+				type: 'texture'
+			}
+    ]
+};

src/shader/bilinear_interp/main.es6

+/* eslint-disable */
+/**
+ * @file bilinear_interp主函数
+ * @author chenhaoze
+ */
+export default `
+// start函数
+void main(void) {
+    // 输出数据
+	ivec4 oPos = getOutputTensorPos();
+    // 输出坐标转换为输入坐标
+	//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;
+ 	//oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);
+	float o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);
+	float scale_x = float(width_shape_out - 1) / float(width_shape_origin - 1);
+    float scale_y = float(height_shape_out - 1) / float(height_shape_origin - 1);
+    float x = float(oPos.a) / scale_x;
+    float y = float(oPos.b) / scale_y;
+	int x1 = int(floor(x));
+	int y1 = int(floor(y));
+	int x2 = int(ceil(x));
+	int y2 = int(ceil(y));
+	float dist_x = x - float(x1);
+    float dist_y = y - float(y1);
+    float value11 = getValueFromTensorPos_origin(oPos.r, oPos.g, y1, x1);
+    float value12 = getValueFromTensorPos_origin(oPos.r, oPos.g, y2, x1);
+    float value21 = getValueFromTensorPos_origin(oPos.r, oPos.g, y1, x2);
+    float value22 = getValueFromTensorPos_origin(oPos.r, oPos.g, y2, x2);
+    float value = (1.0 - dist_x) * (1.0 - dist_y) * value11 +
+            (1.0 - dist_x) * dist_y * value12 + dist_x * (1.0 - dist_y) * value21 +
+            dist_x * dist_y * value22;
+    setOutput(float(value));
+}
+`;

src/shader/bilinear_interp/params.es6

+/* eslint-disable */
+/**
+ * @file bilinear_interp参数文件
+ * @author chenhaoze
+ */
+export default `
+// 输入数据
+const int width_shape_origin = WIDTH_SHAPE_ORIGIN;
+const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;
+const int length_shape_origin = LENGTH_SHAPE_ORIGIN;
+const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;
+const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;
+const int channel_origin = CHANNEL_ORIGIN;
+const int total_shape_origin = TOTAL_SHAPE_ORIGIN;
+const int total_shape_out = TOTAL_SHAPE_OUT;
+// 输入数据
+ uniform sampler2D texture_origin;
+`;

src/shader/concat/main.es6

@@ -11,8 +11,8 @@ void main(void) {
 //	int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;
  //   ivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);
     float o = 0.0;
-    if (oPos[dim] > inputs_dim[0] - 1) {
-        oPos[dim] = oPos[dim] - inputs_dim[0];
+    if (oPos[dim] > inputs_dim - 1) {
+        oPos[dim] = oPos[dim] - inputs_dim;
         o = getValueFromTensorPos_counter(oPos.r, oPos.g, oPos.b, oPos.a);
     }
     else {

src/shader/concat/params.es6

@@ -28,7 +28,7 @@ const int total_shape_origin = TOTAL_SHAPE_ORIGIN;
 const int total_shape_out = TOTAL_SHAPE_OUT;
 
 const int dim = DIM;
-const int inputs_dim[1] = int[](INPUTS_DIM);
+const int inputs_dim = INPUTS_DIM;
 
 
 // uniform变量

src/shader/conv2d_transpose/main.es6

@@ -16,16 +16,8 @@ export default `
         int temp_y = 0;
         float o = 0.0;
         float f = 0.0;
-        if (x % 2 == 1) x = x - 2;
-        if (y % 2 == 1) y = y - 2;
-// 重排遍历顺序
-//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out;
-//int new_a = sumVal % width_shape_out;
-//int new_b = int((sumVal - new_a) / width_shape_out) % height_shape_out;
-//int new_g = int((((sumVal - new_a) / width_shape_out) - new_b) / height_shape_out);
-//int x = new_a;
-//int c = new_g;
-//int y = new_b;
+        if (int(mod(float(x), 2.0)) == 1) x = x - 2;
+        if (int(mod(float(y), 2.0)) == 1) y = y - 2;
         // 获取output的坐标
         int oTensorChannel = int(c * groups / channel_out) * channel_origin;
         int oy = y;
@@ -43,8 +35,7 @@ export default `
                 }
                 // channel计算
                 for (int j = 0; j < channel_origin; j++) {
-
-                	if (ox % stride_h == 0 && oy % stride_v == 0) {
+                	if (int(mod(float(ox), float(stride_h))) == 0 && int(mod(float(oy), float(stride_v))) == 0) {
 						temp_x = int(floor(float(ox) / float(stride_h)));
 						temp_y = int(floor(float(oy) / float(stride_v)));
                         if (temp_x < width_shape_origin && temp_y < height_shape_origin){

src/shader/elementwise_add/main.es6

@@ -7,22 +7,22 @@ export default `
 // start函数
 void main(void) {
     // 输出数据
-    ivec4 oPos = getOutputTensorPos();
-    float o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);
+    ivec4 oPos = getOutputTensorPosLIMIT_OUT();
+    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);
 	ivec4 pos_counter;
 	float c = 0.0;
 
 	if (axis == 1){
-        c = getValueFromTensorPos_counter(0, oPos.r, oPos.g, oPos.b);
+        c = getValueFromTensorPosLIMIT_COUNTER_counter(0, oPos.r, oPos.g, oPos.b);
     }
     else if (axis == 2){
-        c = getValueFromTensorPos_counter(0, 0, oPos.r, oPos.g);
+        c = getValueFromTensorPosLIMIT_COUNTER_counter(0, 0, oPos.r, oPos.g);
     }
     else if (axis == 3){
-        c = getValueFromTensorPos_counter(0, 0, 0, oPos.r);
+        c = getValueFromTensorPosLIMIT_COUNTER_counter(0, 0, 0, oPos.r);
     }
     else {
-        c = getValueFromTensorPos_counter(oPos.r, oPos.g, oPos.b, oPos.a);
+        c = getValueFromTensorPosLIMIT_COUNTER_counter(oPos.r, oPos.g, oPos.b, oPos.a);
     }
 	float res = c + o;
 	setOutput(float(res));

src/shader/mul/main.es6

@@ -7,10 +7,10 @@ export default `
 void main(void) {
     float res = 0.0;
     // 获取output的坐标
-    ivec4 out_pos = getOutputTensorPos();
+    ivec4 out_pos = getOutputTensorPosLIMIT_OUT();
     for (int j = 0; j < width_shape_origin; j++) {
-        float c = getValueFromTensorPos_counter(out_pos[0], out_pos[1], j, out_pos[3]);
-        float o = getValueFromTensorPos_origin(out_pos[0], out_pos[1], out_pos[2], j);
+        float c = getValueFromTensorPosLIMIT_COUNTER_counter(out_pos[0], out_pos[1], j, out_pos[3]);
+        float o = getValueFromTensorPosLIMIT_COUNTER_origin(out_pos[0], out_pos[1], out_pos[2], j);
         res += c * o;
     }
     setOutput(res);

src/shader/split/main.es6

@@ -6,7 +6,7 @@
 export default `
 // start函数
 void main(void) {
-    int length = int(target_value.length() / num);
+    int length = int(target_length / num);
     ivec4 oPos = getOutputTensorPos();
     // 输出坐标转换为输入坐标
 	//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;

src/shader/split/params.es6

@@ -18,7 +18,7 @@ const int total_shape_out = TOTAL_SHAPE_OUT;
 
 const int dim = DIM;
 const int num = NUM;
-const int target_value[TARGET_LENGTH] = int[](TARGET_VALUE);
+const int target_length = TARGET_LENGTH;
 
 
 // 输入数据

src/shader/transpose2/main.es6

@@ -19,10 +19,10 @@ void main(void) {
 		o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[2], oPos[3]);
 	}
 	else if (perm_size == 2) {
-		o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[min(2 + perm_0, 3)], oPos[min(2 + perm_1, 3)]);
+		o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[(2 + perm_0)>3?3:(2 + perm_0)], oPos[(2 + perm_1)>3?3:(2 + perm_1)]);
 	}
 	else if (perm_size == 3) {
-		o = getValueFromTensorPos_origin(oPos[0], oPos[min(1 + perm_0, 3)], oPos[min(1 + perm_1, 3)], oPos[min(1 + perm_2, 3)]);
+		o = getValueFromTensorPos_origin(oPos[0], oPos[(1 + perm_0)>3?3:(1 + perm_0)], oPos[(1 + perm_1)>3?3:(1 + perm_1)], oPos[(1 + perm_2)>3?3:(1 + perm_2)]);
 	}
 	else if (perm_size == 4) {
 		o = getValueFromTensorPos_origin(oPos[perm_0], oPos[perm_1], oPos[perm_2], oPos[perm_3]);

src/utils/opData.es6

@@ -125,7 +125,6 @@ const mergeType = 'conv2d-elementwise_add';
 
 export default class OpData {
     constructor(name, input = {}, output = {}, attrs = {}) {
-        // console.dir(this);
         this.realName = name;
         this.name = name;
         this.attrs = attrs;
@@ -205,7 +204,6 @@ export default class OpData {
                 // 默认取第一个数据
                 const data = this.output[key] || [{}];
                 if (tensorName[key.toLowerCase()]) {
-                    // console.dir(this);
                     data.forEach(item => {
                         item.tensorName = tensorName[key.toLowerCase()];
                         tensorData.push(item);
@@ -453,7 +451,7 @@ export default class OpData {
         this.attrs.target_length = dim_value.length;
         this.attrs.target_value = dim_value;
         // 保存 输入 tensor 对应dim 的长度
-        this.attrs.inputs_dim = [origin_shape[axis]];
+        this.attrs.inputs_dim = origin_shape[axis];
         this.attrs.dim = 4 - origin_shape.length + axis;
     }
 

src/utils/utils.es6

@@ -119,12 +119,13 @@ export default {
         let offsetY = 0;
         // 安卓和ios的max texture size是4096, 改造存储空间(2bh, cw / 2)
         let exceedMax = false;
-        // FIXME:为了让mobilenet能正常执行，这里先注释掉，待群哥修复
-        // if (height > MAX_TEXTURE_SIZE || width > MAX_TEXTURE_SIZE) {
-        //     height *= 2;
-        //     width = c * (Math.ceil(w / 2));
-        //     exceedMax = true;
-        // }
+        // trick TEXTURE_SIZE 超限问题，后续升级更优解
+        if (height > 4096 || width > 4096) {
+            //console.error('大小超限', shape);
+            //height *= 4;
+            //width = c * (Math.ceil(w / 4));
+            //exceedMax = true;
+        }
         if (isPacked) {
             // 紧凑布局
             height = b * c * Math.ceil(h / 2);
@@ -203,7 +204,7 @@ export default {
         return fourDimShape;
     },
 
-    /* 
+    /*
      * 将nhwc排布数据转为nchw排布数据
      */
     nhwc2nchw(data, shape) {
@@ -226,7 +227,7 @@ export default {
         return nchwData;
     },
 
-    /* 
+    /*
      * 将nchw排布数据转为nhwc排布数据
      */
     nchw2nhwc(data, shape) {
@@ -249,9 +250,9 @@ export default {
         return nhwcData;
     },
 
-    /* 
+    /*
      * 等距间隔打印数据
-     */ 
+     */
     stridePrint(data, count = 20) {
         let realPrintCount = count;
         if (data.length <= realPrintCount) {
@@ -267,10 +268,10 @@ export default {
         for (let i = 0; i < realPrintCount; i++) {
             numbers.push(i * stride + ": " + data[i * stride]);
         }
-        console.log(numbers)
+        console.log(numbers);
     },
 
-    /* 
+    /*
      * 连续打印数据
      */
     continuousPrint(data, count = 100) {
@@ -282,7 +283,7 @@ export default {
         for (let i = 0; i < realPrintCount; i++) {
             numbers.push(i + ": " + data[i]);
         }
-        console.log(numbers)
+        console.log(numbers);
     },
 
     softmax(nchwData) {
@@ -306,6 +307,44 @@ export default {
         }
         return result;
 
+    },
+
+    // 针对model final texture输出超限后，inst.read读取数据不对的case
+    formatReadData(nchwData, nchwShape) {
+        if (nchwShape.length < 4) {
+            let batch = [];
+            for (let i = 0; i < (4 - nchwShape.length); i++) {
+                batch.push(1);
+            }
+            nchwShape = batch.concat(nchwShape);
+        }
+        const shape_b = nchwShape[0];
+        const shape_c = nchwShape[1];
+        const shape_h = nchwShape[2];
+        const shape_w = nchwShape[3];
+        const texture_height = shape_b * shape_h;
+        const texture_width = shape_c * shape_w;
+
+        if (texture_height <= 4096 && texture_width <= 4096) {
+            return nchwData;
+        }
+        let pos = 0;
+        const formatData = [];
+        const pieceW = Math.ceil(shape_w / 4); // reshape后的 shape_width
+
+        for (let bIndex = 0; bIndex < shape_b; bIndex++) {
+            for (let cIndex = 0; cIndex < shape_c; cIndex++) {
+                for (let hIndex = 0; hIndex < shape_h; hIndex++) {
+                    for (let wIndex = 0; wIndex < shape_w; wIndex++) {
+                        pos = Math.floor(wIndex / pieceW) * pieceW * (shape_h - 1) + wIndex + hIndex * pieceW;
+                        pos += bIndex * shape_c * shape_h * shape_w+ cIndex  * shape_h * shape_w;
+                        formatData.push(nchwData[pos]);
+                    }
+                }
+            }
+        }
+
+        return formatData;
     }
 };
 /* eslint-enable */

test/data/map.json

-{0: 'tench, Tinca tinca',
- 1: 'goldfish, Carassius auratus',
- 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
- 3: 'tiger shark, Galeocerdo cuvieri',
- 4: 'hammerhead, hammerhead shark',
- 5: 'electric ray, crampfish, numbfish, torpedo',
- 6: 'stingray',
- 7: 'cock',
- 8: 'hen',
- 9: 'ostrich, Struthio camelus',
- 10: 'brambling, Fringilla montifringilla',
- 11: 'goldfinch, Carduelis carduelis',
- 12: 'house finch, linnet, Carpodacus mexicanus',
- 13: 'junco, snowbird',
- 14: 'indigo bunting, indigo finch, indigo bird, Passerina cyanea',
- 15: 'robin, American robin, Turdus migratorius',
- 16: 'bulbul',
- 17: 'jay',
- 18: 'magpie',
- 19: 'chickadee',
- 20: 'water ouzel, dipper',
- 21: 'kite',
- 22: 'bald eagle, American eagle, Haliaeetus leucocephalus',
- 23: 'vulture',
- 24: 'great grey owl, great gray owl, Strix nebulosa',
- 25: 'European fire salamander, Salamandra salamandra',
- 26: 'common newt, Triturus vulgaris',
- 27: 'eft',
- 28: 'spotted salamander, Ambystoma maculatum',
- 29: 'axolotl, mud puppy, Ambystoma mexicanum',
- 30: 'bullfrog, Rana catesbeiana',
- 31: 'tree frog, tree-frog',
- 32: 'tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui',
- 33: 'loggerhead, loggerhead turtle, Caretta caretta',
- 34: 'leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea',
- 35: 'mud turtle',
- 36: 'terrapin',
- 37: 'box turtle, box tortoise',
- 38: 'banded gecko',
- 39: 'common iguana, iguana, Iguana iguana',
- 40: 'American chameleon, anole, Anolis carolinensis',
- 41: 'whiptail, whiptail lizard',
- 42: 'agama',
- 43: 'frilled lizard, Chlamydosaurus kingi',
- 44: 'alligator lizard',
- 45: 'Gila monster, Heloderma suspectum',
- 46: 'green lizard, Lacerta viridis',
- 47: 'African chameleon, Chamaeleo chamaeleon',
- 48: 'Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis',
- 49: 'African crocodile, Nile crocodile, Crocodylus niloticus',
- 50: 'American alligator, Alligator mississipiensis',
- 51: 'triceratops',
- 52: 'thunder snake, worm snake, Carphophis amoenus',
- 53: 'ringneck snake, ring-necked snake, ring snake',
- 54: 'hognose snake, puff adder, sand viper',
- 55: 'green snake, grass snake',
- 56: 'king snake, kingsnake',
- 57: 'garter snake, grass snake',
- 58: 'water snake',
- 59: 'vine snake',
- 60: 'night snake, Hypsiglena torquata',
- 61: 'boa constrictor, Constrictor constrictor',
- 62: 'rock python, rock snake, Python sebae',
- 63: 'Indian cobra, Naja naja',
- 64: 'green mamba',
- 65: 'sea snake',
- 66: 'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus',
- 67: 'diamondback, diamondback rattlesnake, Crotalus adamanteus',
- 68: 'sidewinder, horned rattlesnake, Crotalus cerastes',
- 69: 'trilobite',
- 70: 'harvestman, daddy longlegs, Phalangium opilio',
- 71: 'scorpion',
- 72: 'black and gold garden spider, Argiope aurantia',
- 73: 'barn spider, Araneus cavaticus',
- 74: 'garden spider, Aranea diademata',
- 75: 'black widow, Latrodectus mactans',
- 76: 'tarantula',
- 77: 'wolf spider, hunting spider',
- 78: 'tick',
- 79: 'centipede',
- 80: 'black grouse',
- 81: 'ptarmigan',
- 82: 'ruffed grouse, partridge, Bonasa umbellus',
- 83: 'prairie chicken, prairie grouse, prairie fowl',
- 84: 'peacock',
- 85: 'quail',
- 86: 'partridge',
- 87: 'African grey, African gray, Psittacus erithacus',
- 88: 'macaw',
- 89: 'sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita',
- 90: 'lorikeet',
- 91: 'coucal',
- 92: 'bee eater',
- 93: 'hornbill',
- 94: 'hummingbird',
- 95: 'jacamar',
- 96: 'toucan',
- 97: 'drake',
- 98: 'red-breasted merganser, Mergus serrator',
- 99: 'goose',
- 100: 'black swan, Cygnus atratus',
- 101: 'tusker',
- 102: 'echidna, spiny anteater, anteater',
- 103: 'platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus',
- 104: 'wallaby, brush kangaroo',
- 105: 'koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus',
- 106: 'wombat',
- 107: 'jellyfish',
- 108: 'sea anemone, anemone',
- 109: 'brain coral',
- 110: 'flatworm, platyhelminth',
- 111: 'nematode, nematode worm, roundworm',
- 112: 'conch',
- 113: 'snail',
- 114: 'slug',
- 115: 'sea slug, nudibranch',
- 116: 'chiton, coat-of-mail shell, sea cradle, polyplacophore',
- 117: 'chambered nautilus, pearly nautilus, nautilus',
- 118: 'Dungeness crab, Cancer magister',
- 119: 'rock crab, Cancer irroratus',
- 120: 'fiddler crab',
- 121: 'king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica',
- 122: 'American lobster, Northern lobster, Maine lobster, Homarus americanus',
- 123: 'spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish',
- 124: 'crayfish, crawfish, crawdad, crawdaddy',
- 125: 'hermit crab',
- 126: 'isopod',
- 127: 'white stork, Ciconia ciconia',
- 128: 'black stork, Ciconia nigra',
- 129: 'spoonbill',
- 130: 'flamingo',
- 131: 'little blue heron, Egretta caerulea',
- 132: 'American egret, great white heron, Egretta albus',
- 133: 'bittern',
- 134: 'crane',
- 135: 'limpkin, Aramus pictus',
- 136: 'European gallinule, Porphyrio porphyrio',
- 137: 'American coot, marsh hen, mud hen, water hen, Fulica americana',
- 138: 'bustard',
- 139: 'ruddy turnstone, Arenaria interpres',
- 140: 'red-backed sandpiper, dunlin, Erolia alpina',
- 141: 'redshank, Tringa totanus',
- 142: 'dowitcher',
- 143: 'oystercatcher, oyster catcher',
- 144: 'pelican',
- 145: 'king penguin, Aptenodytes patagonica',
- 146: 'albatross, mollymawk',
- 147: 'grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus',
- 148: 'killer whale, killer, orca, grampus, sea wolf, Orcinus orca',
- 149: 'dugong, Dugong dugon',
- 150: 'sea lion',
- 151: 'Chihuahua',
- 152: 'Japanese spaniel',
- 153: 'Maltese dog, Maltese terrier, Maltese',
- 154: 'Pekinese, Pekingese, Peke',
- 155: 'Shih-Tzu',
- 156: 'Blenheim spaniel',
- 157: 'papillon',
- 158: 'toy terrier',
- 159: 'Rhodesian ridgeback',
- 160: 'Afghan hound, Afghan',
- 161: 'basset, basset hound',
- 162: 'beagle',
- 163: 'bloodhound, sleuthhound',
- 164: 'bluetick',
- 165: 'black-and-tan coonhound',
- 166: 'Walker hound, Walker foxhound',
- 167: 'English foxhound',
- 168: 'redbone',
- 169: 'borzoi, Russian wolfhound',
- 170: 'Irish wolfhound',
- 171: 'Italian greyhound',
- 172: 'whippet',
- 173: 'Ibizan hound, Ibizan Podenco',
- 174: 'Norwegian elkhound, elkhound',
- 175: 'otterhound, otter hound',
- 176: 'Saluki, gazelle hound',
- 177: 'Scottish deerhound, deerhound',
- 178: 'Weimaraner',
- 179: 'Staffordshire bullterrier, Staffordshire bull terrier',
- 180: 'American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier',
- 181: 'Bedlington terrier',
- 182: 'Border terrier',
- 183: 'Kerry blue terrier',
- 184: 'Irish terrier',
- 185: 'Norfolk terrier',
- 186: 'Norwich terrier',
- 187: 'Yorkshire terrier',
- 188: 'wire-haired fox terrier',
- 189: 'Lakeland terrier',
- 190: 'Sealyham terrier, Sealyham',
- 191: 'Airedale, Airedale terrier',
- 192: 'cairn, cairn terrier',
- 193: 'Australian terrier',
- 194: 'Dandie Dinmont, Dandie Dinmont terrier',
- 195: 'Boston bull, Boston terrier',
- 196: 'miniature schnauzer',
- 197: 'giant schnauzer',
- 198: 'standard schnauzer',
- 199: 'Scotch terrier, Scottish terrier, Scottie',
- 200: 'Tibetan terrier, chrysanthemum dog',
- 201: 'silky terrier, Sydney silky',
- 202: 'soft-coated wheaten terrier',
- 203: 'West Highland white terrier',
- 204: 'Lhasa, Lhasa apso',
- 205: 'flat-coated retriever',
- 206: 'curly-coated retriever',
- 207: 'golden retriever',
- 208: 'Labrador retriever',
- 209: 'Chesapeake Bay retriever',
- 210: 'German short-haired pointer',
- 211: 'vizsla, Hungarian pointer',
- 212: 'English setter',
- 213: 'Irish setter, red setter',
- 214: 'Gordon setter',
- 215: 'Brittany spaniel',
- 216: 'clumber, clumber spaniel',
- 217: 'English springer, English springer spaniel',
- 218: 'Welsh springer spaniel',
- 219: 'cocker spaniel, English cocker spaniel, cocker',
- 220: 'Sussex spaniel',
- 221: 'Irish water spaniel',
- 222: 'kuvasz',
- 223: 'schipperke',
- 224: 'groenendael',
- 225: 'malinois',
- 226: 'briard',
- 227: 'kelpie',
- 228: 'komondor',
- 229: 'Old English sheepdog, bobtail',
- 230: 'Shetland sheepdog, Shetland sheep dog, Shetland',
- 231: 'collie',
- 232: 'Border collie',
- 233: 'Bouvier des Flandres, Bouviers des Flandres',
- 234: 'Rottweiler',
- 235: 'German shepherd, German shepherd dog, German police dog, alsatian',
- 236: 'Doberman, Doberman pinscher',
- 237: 'miniature pinscher',
- 238: 'Greater Swiss Mountain dog',
- 239: 'Bernese mountain dog',
- 240: 'Appenzeller',
- 241: 'EntleBucher',
- 242: 'boxer',
- 243: 'bull mastiff',
- 244: 'Tibetan mastiff',
- 245: 'French bulldog',
- 246: 'Great Dane',
- 247: 'Saint Bernard, St Bernard',
- 248: 'Eskimo dog, husky',
- 249: 'malamute, malemute, Alaskan malamute',
- 250: 'Siberian husky',
- 251: 'dalmatian, coach dog, carriage dog',
- 252: 'affenpinscher, monkey pinscher, monkey dog',
- 253: 'basenji',
- 254: 'pug, pug-dog',
- 255: 'Leonberg',
- 256: 'Newfoundland, Newfoundland dog',
- 257: 'Great Pyrenees',
- 258: 'Samoyed, Samoyede',
- 259: 'Pomeranian',
- 260: 'chow, chow chow',
- 261: 'keeshond',
- 262: 'Brabancon griffon',
- 263: 'Pembroke, Pembroke Welsh corgi',
- 264: 'Cardigan, Cardigan Welsh corgi',
- 265: 'toy poodle',
- 266: 'miniature poodle',
- 267: 'standard poodle',
- 268: 'Mexican hairless',
- 269: 'timber wolf, grey wolf, gray wolf, Canis lupus',
- 270: 'white wolf, Arctic wolf, Canis lupus tundrarum',
- 271: 'red wolf, maned wolf, Canis rufus, Canis niger',
- 272: 'coyote, prairie wolf, brush wolf, Canis latrans',
- 273: 'dingo, warrigal, warragal, Canis dingo',
- 274: 'dhole, Cuon alpinus',
- 275: 'African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus',
- 276: 'hyena, hyaena',
- 277: 'red fox, Vulpes vulpes',
- 278: 'kit fox, Vulpes macrotis',
- 279: 'Arctic fox, white fox, Alopex lagopus',
- 280: 'grey fox, gray fox, Urocyon cinereoargenteus',
- 281: 'tabby, tabby cat',
- 282: 'tiger cat',
- 283: 'Persian cat',
- 284: 'Siamese cat, Siamese',
- 285: 'Egyptian cat',
- 286: 'cougar, puma, catamount, mountain lion, painter, panther, Felis concolor',
- 287: 'lynx, catamount',
- 288: 'leopard, Panthera pardus',
- 289: 'snow leopard, ounce, Panthera uncia',
- 290: 'jaguar, panther, Panthera onca, Felis onca',
- 291: 'lion, king of beasts, Panthera leo',
- 292: 'tiger, Panthera tigris',
- 293: 'cheetah, chetah, Acinonyx jubatus',
- 294: 'brown bear, bruin, Ursus arctos',
- 295: 'American black bear, black bear, Ursus americanus, Euarctos americanus',
- 296: 'ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus',
- 297: 'sloth bear, Melursus ursinus, Ursus ursinus',
- 298: 'mongoose',
- 299: 'meerkat, mierkat',
- 300: 'tiger beetle',
- 301: 'ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle',
- 302: 'ground beetle, carabid beetle',
- 303: 'long-horned beetle, longicorn, longicorn beetle',
- 304: 'leaf beetle, chrysomelid',
- 305: 'dung beetle',
- 306: 'rhinoceros beetle',
- 307: 'weevil',
- 308: 'fly',
- 309: 'bee',
- 310: 'ant, emmet, pismire',
- 311: 'grasshopper, hopper',
- 312: 'cricket',
- 313: 'walking stick, walkingstick, stick insect',
- 314: 'cockroach, roach',
- 315: 'mantis, mantid',
- 316: 'cicada, cicala',
- 317: 'leafhopper',
- 318: 'lacewing, lacewing fly',
- 319: "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
- 320: 'damselfly',
- 321: 'admiral',
- 322: 'ringlet, ringlet butterfly',
- 323: 'monarch, monarch butterfly, milkweed butterfly, Danaus plexippus',
- 324: 'cabbage butterfly',
- 325: 'sulphur butterfly, sulfur butterfly',
- 326: 'lycaenid, lycaenid butterfly',
- 327: 'starfish, sea star',
- 328: 'sea urchin',
- 329: 'sea cucumber, holothurian',
- 330: 'wood rabbit, cottontail, cottontail rabbit',
- 331: 'hare',
- 332: 'Angora, Angora rabbit',
- 333: 'hamster',
- 334: 'porcupine, hedgehog',
- 335: 'fox squirrel, eastern fox squirrel, Sciurus niger',
- 336: 'marmot',
- 337: 'beaver',
- 338: 'guinea pig, Cavia cobaya',
- 339: 'sorrel',
- 340: 'zebra',
- 341: 'hog, pig, grunter, squealer, Sus scrofa',
- 342: 'wild boar, boar, Sus scrofa',
- 343: 'warthog',
- 344: 'hippopotamus, hippo, river horse, Hippopotamus amphibius',
- 345: 'ox',
- 346: 'water buffalo, water ox, Asiatic buffalo, Bubalus bubalis',
- 347: 'bison',
- 348: 'ram, tup',
- 349: 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis',
- 350: 'ibex, Capra ibex',
- 351: 'hartebeest',
- 352: 'impala, Aepyceros melampus',
- 353: 'gazelle',
- 354: 'Arabian camel, dromedary, Camelus dromedarius',
- 355: 'llama',
- 356: 'weasel',
- 357: 'mink',
- 358: 'polecat, fitch, foulmart, foumart, Mustela putorius',
- 359: 'black-footed ferret, ferret, Mustela nigripes',
- 360: 'otter',
- 361: 'skunk, polecat, wood pussy',
- 362: 'badger',
- 363: 'armadillo',
- 364: 'three-toed sloth, ai, Bradypus tridactylus',
- 365: 'orangutan, orang, orangutang, Pongo pygmaeus',
- 366: 'gorilla, Gorilla gorilla',
- 367: 'chimpanzee, chimp, Pan troglodytes',
- 368: 'gibbon, Hylobates lar',
- 369: 'siamang, Hylobates syndactylus, Symphalangus syndactylus',
- 370: 'guenon, guenon monkey',
- 371: 'patas, hussar monkey, Erythrocebus patas',
- 372: 'baboon',
- 373: 'macaque',
- 374: 'langur',
- 375: 'colobus, colobus monkey',
- 376: 'proboscis monkey, Nasalis larvatus',
- 377: 'marmoset',
- 378: 'capuchin, ringtail, Cebus capucinus',
- 379: 'howler monkey, howler',
- 380: 'titi, titi monkey',
- 381: 'spider monkey, Ateles geoffroyi',
- 382: 'squirrel monkey, Saimiri sciureus',
- 383: 'Madagascar cat, ring-tailed lemur, Lemur catta',
- 384: 'indri, indris, Indri indri, Indri brevicaudatus',
- 385: 'Indian elephant, Elephas maximus',
- 386: 'African elephant, Loxodonta africana',
- 387: 'lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens',
- 388: 'giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca',
- 389: 'barracouta, snoek',
- 390: 'eel',
- 391: 'coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch',
- 392: 'rock beauty, Holocanthus tricolor',
- 393: 'anemone fish',
- 394: 'sturgeon',
- 395: 'gar, garfish, garpike, billfish, Lepisosteus osseus',
- 396: 'lionfish',
- 397: 'puffer, pufferfish, blowfish, globefish',
- 398: 'abacus',
- 399: 'abaya',
- 400: "academic gown, academic robe, judge's robe",
- 401: 'accordion, piano accordion, squeeze box',
- 402: 'acoustic guitar',
- 403: 'aircraft carrier, carrier, flattop, attack aircraft carrier',
- 404: 'airliner',
- 405: 'airship, dirigible',
- 406: 'altar',
- 407: 'ambulance',
- 408: 'amphibian, amphibious vehicle',
- 409: 'analog clock',
- 410: 'apiary, bee house',
- 411: 'apron',
- 412: 'ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin',
- 413: 'assault rifle, assault gun',
- 414: 'backpack, back pack, knapsack, packsack, rucksack, haversack',
- 415: 'bakery, bakeshop, bakehouse',
- 416: 'balance beam, beam',
- 417: 'balloon',
- 418: 'ballpoint, ballpoint pen, ballpen, Biro',
- 419: 'Band Aid',
- 420: 'banjo',
- 421: 'bannister, banister, balustrade, balusters, handrail',
- 422: 'barbell',
- 423: 'barber chair',
- 424: 'barbershop',
- 425: 'barn',
- 426: 'barometer',
- 427: 'barrel, cask',
- 428: 'barrow, garden cart, lawn cart, wheelbarrow',
- 429: 'baseball',
- 430: 'basketball',
- 431: 'bassinet',
- 432: 'bassoon',
- 433: 'bathing cap, swimming cap',
- 434: 'bath towel',
- 435: 'bathtub, bathing tub, bath, tub',
- 436: 'beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon',
- 437: 'beacon, lighthouse, beacon light, pharos',
- 438: 'beaker',
- 439: 'bearskin, busby, shako',
- 440: 'beer bottle',
- 441: 'beer glass',
- 442: 'bell cote, bell cot',
- 443: 'bib',
- 444: 'bicycle-built-for-two, tandem bicycle, tandem',
- 445: 'bikini, two-piece',
- 446: 'binder, ring-binder',
- 447: 'binoculars, field glasses, opera glasses',
- 448: 'birdhouse',
- 449: 'boathouse',
- 450: 'bobsled, bobsleigh, bob',
- 451: 'bolo tie, bolo, bola tie, bola',
- 452: 'bonnet, poke bonnet',
- 453: 'bookcase',
- 454: 'bookshop, bookstore, bookstall',
- 455: 'bottlecap',
- 456: 'bow',
- 457: 'bow tie, bow-tie, bowtie',
- 458: 'brass, memorial tablet, plaque',
- 459: 'brassiere, bra, bandeau',
- 460: 'breakwater, groin, groyne, mole, bulwark, seawall, jetty',
- 461: 'breastplate, aegis, egis',
- 462: 'broom',
- 463: 'bucket, pail',
- 464: 'buckle',
- 465: 'bulletproof vest',
- 466: 'bullet train, bullet',
- 467: 'butcher shop, meat market',
- 468: 'cab, hack, taxi, taxicab',
- 469: 'caldron, cauldron',
- 470: 'candle, taper, wax light',
- 471: 'cannon',
- 472: 'canoe',
- 473: 'can opener, tin opener',
- 474: 'cardigan',
- 475: 'car mirror',
- 476: 'carousel, carrousel, merry-go-round, roundabout, whirligig',
- 477: "carpenter's kit, tool kit",
- 478: 'carton',
- 479: 'car wheel',
- 480: 'cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM',
- 481: 'cassette',
- 482: 'cassette player',
- 483: 'castle',
- 484: 'catamaran',
- 485: 'CD player',
- 486: 'cello, violoncello',
- 487: 'cellular telephone, cellular phone, cellphone, cell, mobile phone',
- 488: 'chain',
- 489: 'chainlink fence',
- 490: 'chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour',
- 491: 'chain saw, chainsaw',
- 492: 'chest',
- 493: 'chiffonier, commode',
- 494: 'chime, bell, gong',
- 495: 'china cabinet, china closet',
- 496: 'Christmas stocking',
- 497: 'church, church building',
- 498: 'cinema, movie theater, movie theatre, movie house, picture palace',
- 499: 'cleaver, meat cleaver, chopper',
- 500: 'cliff dwelling',
- 501: 'cloak',
- 502: 'clog, geta, patten, sabot',
- 503: 'cocktail shaker',
- 504: 'coffee mug',
- 505: 'coffeepot',
- 506: 'coil, spiral, volute, whorl, helix',
- 507: 'combination lock',
- 508: 'computer keyboard, keypad',
- 509: 'confectionery, confectionary, candy store',
- 510: 'container ship, containership, container vessel',
- 511: 'convertible',
- 512: 'corkscrew, bottle screw',
- 513: 'cornet, horn, trumpet, trump',
- 514: 'cowboy boot',
- 515: 'cowboy hat, ten-gallon hat',
- 516: 'cradle',
- 517: 'crane',
- 518: 'crash helmet',
- 519: 'crate',
- 520: 'crib, cot',
- 521: 'Crock Pot',
- 522: 'croquet ball',
- 523: 'crutch',
- 524: 'cuirass',
- 525: 'dam, dike, dyke',
- 526: 'desk',
- 527: 'desktop computer',
- 528: 'dial telephone, dial phone',
- 529: 'diaper, nappy, napkin',
- 530: 'digital clock',
- 531: 'digital watch',
- 532: 'dining table, board',
- 533: 'dishrag, dishcloth',
- 534: 'dishwasher, dish washer, dishwashing machine',
- 535: 'disk brake, disc brake',
- 536: 'dock, dockage, docking facility',
- 537: 'dogsled, dog sled, dog sleigh',
- 538: 'dome',
- 539: 'doormat, welcome mat',
- 540: 'drilling platform, offshore rig',
- 541: 'drum, membranophone, tympan',
- 542: 'drumstick',
- 543: 'dumbbell',
- 544: 'Dutch oven',
- 545: 'electric fan, blower',
- 546: 'electric guitar',
- 547: 'electric locomotive',
- 548: 'entertainment center',
- 549: 'envelope',
- 550: 'espresso maker',
- 551: 'face powder',
- 552: 'feather boa, boa',
- 553: 'file, file cabinet, filing cabinet',
- 554: 'fireboat',
- 555: 'fire engine, fire truck',
- 556: 'fire screen, fireguard',
- 557: 'flagpole, flagstaff',
- 558: 'flute, transverse flute',
- 559: 'folding chair',
- 560: 'football helmet',
- 561: 'forklift',
- 562: 'fountain',
- 563: 'fountain pen',
- 564: 'four-poster',
- 565: 'freight car',
- 566: 'French horn, horn',
- 567: 'frying pan, frypan, skillet',
- 568: 'fur coat',
- 569: 'garbage truck, dustcart',
- 570: 'gasmask, respirator, gas helmet',
- 571: 'gas pump, gasoline pump, petrol pump, island dispenser',
- 572: 'goblet',
- 573: 'go-kart',
- 574: 'golf ball',
- 575: 'golfcart, golf cart',
- 576: 'gondola',
- 577: 'gong, tam-tam',
- 578: 'gown',
- 579: 'grand piano, grand',
- 580: 'greenhouse, nursery, glasshouse',
- 581: 'grille, radiator grille',
- 582: 'grocery store, grocery, food market, market',
- 583: 'guillotine',
- 584: 'hair slide',
- 585: 'hair spray',
- 586: 'half track',
- 587: 'hammer',
- 588: 'hamper',
- 589: 'hand blower, blow dryer, blow drier, hair dryer, hair drier',
- 590: 'hand-held computer, hand-held microcomputer',
- 591: 'handkerchief, hankie, hanky, hankey',
- 592: 'hard disc, hard disk, fixed disk',
- 593: 'harmonica, mouth organ, harp, mouth harp',
- 594: 'harp',
- 595: 'harvester, reaper',
- 596: 'hatchet',
- 597: 'holster',
- 598: 'home theater, home theatre',
- 599: 'honeycomb',
- 600: 'hook, claw',
- 601: 'hoopskirt, crinoline',
- 602: 'horizontal bar, high bar',
- 603: 'horse cart, horse-cart',
- 604: 'hourglass',
- 605: 'iPod',
- 606: 'iron, smoothing iron',
- 607: "jack-o'-lantern",
- 608: 'jean, blue jean, denim',
- 609: 'jeep, landrover',
- 610: 'jersey, T-shirt, tee shirt',
- 611: 'jigsaw puzzle',
- 612: 'jinrikisha, ricksha, rickshaw',
- 613: 'joystick',
- 614: 'kimono',
- 615: 'knee pad',
- 616: 'knot',
- 617: 'lab coat, laboratory coat',
- 618: 'ladle',
- 619: 'lampshade, lamp shade',
- 620: 'laptop, laptop computer',
- 621: 'lawn mower, mower',
- 622: 'lens cap, lens cover',
- 623: 'letter opener, paper knife, paperknife',
- 624: 'library',
- 625: 'lifeboat',
- 626: 'lighter, light, igniter, ignitor',
- 627: 'limousine, limo',
- 628: 'liner, ocean liner',
- 629: 'lipstick, lip rouge',
- 630: 'Loafer',
- 631: 'lotion',
- 632: 'loudspeaker, speaker, speaker unit, loudspeaker system, speaker system',
- 633: "loupe, jeweler's loupe",
- 634: 'lumbermill, sawmill',
- 635: 'magnetic compass',
- 636: 'mailbag, postbag',
- 637: 'mailbox, letter box',
- 638: 'maillot',
- 639: 'maillot, tank suit',
- 640: 'manhole cover',
- 641: 'maraca',
- 642: 'marimba, xylophone',
- 643: 'mask',
- 644: 'matchstick',
- 645: 'maypole',
- 646: 'maze, labyrinth',
- 647: 'measuring cup',
- 648: 'medicine chest, medicine cabinet',
- 649: 'megalith, megalithic structure',
- 650: 'microphone, mike',
- 651: 'microwave, microwave oven',
- 652: 'military uniform',
- 653: 'milk can',
- 654: 'minibus',
- 655: 'miniskirt, mini',
- 656: 'minivan',
- 657: 'missile',
- 658: 'mitten',
- 659: 'mixing bowl',
- 660: 'mobile home, manufactured home',
- 661: 'Model T',
- 662: 'modem',
- 663: 'monastery',
- 664: 'monitor',
- 665: 'moped',
- 666: 'mortar',
- 667: 'mortarboard',
- 668: 'mosque',
- 669: 'mosquito net',
- 670: 'motor scooter, scooter',
- 671: 'mountain bike, all-terrain bike, off-roader',
- 672: 'mountain tent',
- 673: 'mouse, computer mouse',
- 674: 'mousetrap',
- 675: 'moving van',
- 676: 'muzzle',
- 677: 'nail',
- 678: 'neck brace',
- 679: 'necklace',
- 680: 'nipple',
- 681: 'notebook, notebook computer',
- 682: 'obelisk',
- 683: 'oboe, hautboy, hautbois',
- 684: 'ocarina, sweet potato',
- 685: 'odometer, hodometer, mileometer, milometer',
- 686: 'oil filter',
- 687: 'organ, pipe organ',
- 688: 'oscilloscope, scope, cathode-ray oscilloscope, CRO',
- 689: 'overskirt',
- 690: 'oxcart',
- 691: 'oxygen mask',
- 692: 'packet',
- 693: 'paddle, boat paddle',
- 694: 'paddlewheel, paddle wheel',
- 695: 'padlock',
- 696: 'paintbrush',
- 697: "pajama, pyjama, pj's, jammies",
- 698: 'palace',
- 699: 'panpipe, pandean pipe, syrinx',
- 700: 'paper towel',
- 701: 'parachute, chute',
- 702: 'parallel bars, bars',
- 703: 'park bench',
- 704: 'parking meter',
- 705: 'passenger car, coach, carriage',
- 706: 'patio, terrace',
- 707: 'pay-phone, pay-station',
- 708: 'pedestal, plinth, footstall',
- 709: 'pencil box, pencil case',
- 710: 'pencil sharpener',
- 711: 'perfume, essence',
- 712: 'Petri dish',
- 713: 'photocopier',
- 714: 'pick, plectrum, plectron',
- 715: 'pickelhaube',
- 716: 'picket fence, paling',
- 717: 'pickup, pickup truck',
- 718: 'pier',
- 719: 'piggy bank, penny bank',
- 720: 'pill bottle',
- 721: 'pillow',
- 722: 'ping-pong ball',
- 723: 'pinwheel',
- 724: 'pirate, pirate ship',
- 725: 'pitcher, ewer',
- 726: "plane, carpenter's plane, woodworking plane",
- 727: 'planetarium',
- 728: 'plastic bag',
- 729: 'plate rack',
- 730: 'plow, plough',
- 731: "plunger, plumber's helper",
- 732: 'Polaroid camera, Polaroid Land camera',
- 733: 'pole',
- 734: 'police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria',
- 735: 'poncho',
- 736: 'pool table, billiard table, snooker table',
- 737: 'pop bottle, soda bottle',
- 738: 'pot, flowerpot',
- 739: "potter's wheel",
- 740: 'power drill',
- 741: 'prayer rug, prayer mat',
- 742: 'printer',
- 743: 'prison, prison house',
- 744: 'projectile, missile',
- 745: 'projector',
- 746: 'puck, hockey puck',
- 747: 'punching bag, punch bag, punching ball, punchball',
- 748: 'purse',
- 749: 'quill, quill pen',
- 750: 'quilt, comforter, comfort, puff',
- 751: 'racer, race car, racing car',
- 752: 'racket, racquet',
- 753: 'radiator',
- 754: 'radio, wireless',
- 755: 'radio telescope, radio reflector',
- 756: 'rain barrel',
- 757: 'recreational vehicle, RV, R.V.',
- 758: 'reel',
- 759: 'reflex camera',
- 760: 'refrigerator, icebox',
- 761: 'remote control, remote',
- 762: 'restaurant, eating house, eating place, eatery',
- 763: 'revolver, six-gun, six-shooter',
- 764: 'rifle',
- 765: 'rocking chair, rocker',
- 766: 'rotisserie',
- 767: 'rubber eraser, rubber, pencil eraser',
- 768: 'rugby ball',
- 769: 'rule, ruler',
- 770: 'running shoe',
- 771: 'safe',
- 772: 'safety pin',
- 773: 'saltshaker, salt shaker',
- 774: 'sandal',
- 775: 'sarong',
- 776: 'sax, saxophone',
- 777: 'scabbard',
- 778: 'scale, weighing machine',
- 779: 'school bus',
- 780: 'schooner',
- 781: 'scoreboard',
- 782: 'screen, CRT screen',
- 783: 'screw',
- 784: 'screwdriver',
- 785: 'seat belt, seatbelt',
- 786: 'sewing machine',
- 787: 'shield, buckler',
- 788: 'shoe shop, shoe-shop, shoe store',
- 789: 'shoji',
- 790: 'shopping basket',
- 791: 'shopping cart',
- 792: 'shovel',
- 793: 'shower cap',
- 794: 'shower curtain',
- 795: 'ski',
- 796: 'ski mask',
- 797: 'sleeping bag',
- 798: 'slide rule, slipstick',
- 799: 'sliding door',
- 800: 'slot, one-armed bandit',
- 801: 'snorkel',
- 802: 'snowmobile',
- 803: 'snowplow, snowplough',
- 804: 'soap dispenser',
- 805: 'soccer ball',
- 806: 'sock',
- 807: 'solar dish, solar collector, solar furnace',
- 808: 'sombrero',
- 809: 'soup bowl',
- 810: 'space bar',
- 811: 'space heater',
- 812: 'space shuttle',
- 813: 'spatula',
- 814: 'speedboat',
- 815: "spider web, spider's web",
- 816: 'spindle',
- 817: 'sports car, sport car',
- 818: 'spotlight, spot',
- 819: 'stage',
- 820: 'steam locomotive',
- 821: 'steel arch bridge',
- 822: 'steel drum',
- 823: 'stethoscope',
- 824: 'stole',
- 825: 'stone wall',
- 826: 'stopwatch, stop watch',
- 827: 'stove',
- 828: 'strainer',
- 829: 'streetcar, tram, tramcar, trolley, trolley car',
- 830: 'stretcher',
- 831: 'studio couch, day bed',
- 832: 'stupa, tope',
- 833: 'submarine, pigboat, sub, U-boat',
- 834: 'suit, suit of clothes',
- 835: 'sundial',
- 836: 'sunglass',
- 837: 'sunglasses, dark glasses, shades',
- 838: 'sunscreen, sunblock, sun blocker',
- 839: 'suspension bridge',
- 840: 'swab, swob, mop',
- 841: 'sweatshirt',
- 842: 'swimming trunks, bathing trunks',
- 843: 'swing',
- 844: 'switch, electric switch, electrical switch',
- 845: 'syringe',
- 846: 'table lamp',
- 847: 'tank, army tank, armored combat vehicle, armoured combat vehicle',
- 848: 'tape player',
- 849: 'teapot',
- 850: 'teddy, teddy bear',
- 851: 'television, television system',
- 852: 'tennis ball',
- 853: 'thatch, thatched roof',
- 854: 'theater curtain, theatre curtain',
- 855: 'thimble',
- 856: 'thresher, thrasher, threshing machine',
- 857: 'throne',
- 858: 'tile roof',
- 859: 'toaster',
- 860: 'tobacco shop, tobacconist shop, tobacconist',
- 861: 'toilet seat',
- 862: 'torch',
- 863: 'totem pole',
- 864: 'tow truck, tow car, wrecker',
- 865: 'toyshop',
- 866: 'tractor',
- 867: 'trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi',
- 868: 'tray',
- 869: 'trench coat',
- 870: 'tricycle, trike, velocipede',
- 871: 'trimaran',
- 872: 'tripod',
- 873: 'triumphal arch',
- 874: 'trolleybus, trolley coach, trackless trolley',
- 875: 'trombone',
- 876: 'tub, vat',
- 877: 'turnstile',
- 878: 'typewriter keyboard',
- 879: 'umbrella',
- 880: 'unicycle, monocycle',
- 881: 'upright, upright piano',
- 882: 'vacuum, vacuum cleaner',
- 883: 'vase',
- 884: 'vault',
- 885: 'velvet',
- 886: 'vending machine',
- 887: 'vestment',
- 888: 'viaduct',
- 889: 'violin, fiddle',
- 890: 'volleyball',
- 891: 'waffle iron',
- 892: 'wall clock',
- 893: 'wallet, billfold, notecase, pocketbook',
- 894: 'wardrobe, closet, press',
- 895: 'warplane, military plane',
- 896: 'washbasin, handbasin, washbowl, lavabo, wash-hand basin',
- 897: 'washer, automatic washer, washing machine',
- 898: 'water bottle',
- 899: 'water jug',
- 900: 'water tower',
- 901: 'whiskey jug',
- 902: 'whistle',
- 903: 'wig',
- 904: 'window screen',
- 905: 'window shade',
- 906: 'Windsor tie',
- 907: 'wine bottle',
- 908: 'wing',
- 909: 'wok',
- 910: 'wooden spoon',
- 911: 'wool, woolen, woollen',
- 912: 'worm fence, snake fence, snake-rail fence, Virginia fence',
- 913: 'wreck',
- 914: 'yawl',
- 915: 'yurt',
- 916: 'web site, website, internet site, site',
- 917: 'comic book',
- 918: 'crossword puzzle, crossword',
- 919: 'street sign',
- 920: 'traffic light, traffic signal, stoplight',
- 921: 'book jacket, dust cover, dust jacket, dust wrapper',
- 922: 'menu',
- 923: 'plate',
- 924: 'guacamole',
- 925: 'consomme',
- 926: 'hot pot, hotpot',
- 927: 'trifle',
- 928: 'ice cream, icecream',
- 929: 'ice lolly, lolly, lollipop, popsicle',
- 930: 'French loaf',
- 931: 'bagel, beigel',
- 932: 'pretzel',
- 933: 'cheeseburger',
- 934: 'hotdog, hot dog, red hot',
- 935: 'mashed potato',
- 936: 'head cabbage',
- 937: 'broccoli',
- 938: 'cauliflower',
- 939: 'zucchini, courgette',
- 940: 'spaghetti squash',
- 941: 'acorn squash',
- 942: 'butternut squash',
- 943: 'cucumber, cuke',
- 944: 'artichoke, globe artichoke',
- 945: 'bell pepper',
- 946: 'cardoon',
- 947: 'mushroom',
- 948: 'Granny Smith',
- 949: 'strawberry',
- 950: 'orange',
- 951: 'lemon',
- 952: 'fig',
- 953: 'pineapple, ananas',
- 954: 'banana',
- 955: 'jackfruit, jak, jack',
- 956: 'custard apple',
- 957: 'pomegranate',
- 958: 'hay',
- 959: 'carbonara',
- 960: 'chocolate sauce, chocolate syrup',
- 961: 'dough',
- 962: 'meat loaf, meatloaf',
- 963: 'pizza, pizza pie',
- 964: 'potpie',
- 965: 'burrito',
- 966: 'red wine',
- 967: 'espresso',
- 968: 'cup',
- 969: 'eggnog',
- 970: 'alp',
- 971: 'bubble',
- 972: 'cliff, drop, drop-off',
- 973: 'coral reef',
- 974: 'geyser',
- 975: 'lakeside, lakeshore',
- 976: 'promontory, headland, head, foreland',
- 977: 'sandbar, sand bar',
- 978: 'seashore, coast, seacoast, sea-coast',
- 979: 'valley, vale',
- 980: 'volcano',
- 981: 'ballplayer, baseball player',
- 982: 'groom, bridegroom',
- 983: 'scuba diver',
- 984: 'rapeseed',
- 985: 'daisy',
- 986: "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
- 987: 'corn',
- 988: 'acorn',
- 989: 'hip, rose hip, rosehip',
- 990: 'buckeye, horse chestnut, conker',
- 991: 'coral fungus',
- 992: 'agaric',
- 993: 'gyromitra',
- 994: 'stinkhorn, carrion fungus',
- 995: 'earthstar',
- 996: 'hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa',
- 997: 'bolete',
- 998: 'ear, spike, capitulum',
- 999: 'toilet tissue, toilet paper, bathroom tissue'}
+{
+    "0": "tench, Tinca tinca",
+    "1": "goldfish, Carassius auratus",
+    "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
+    "3": "tiger shark, Galeocerdo cuvieri",
+    "4": "hammerhead, hammerhead shark",
+    "5": "electric ray, crampfish, numbfish, torpedo",
+    "6": "stingray",
+    "7": "cock",
+    "8": "hen",
+    "9": "ostrich, Struthio camelus",
+    "10": "brambling, Fringilla montifringilla",
+    "11": "goldfinch, Carduelis carduelis",
+    "12": "house finch, linnet, Carpodacus mexicanus",
+    "13": "junco, snowbird",
+    "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
+    "15": "robin, American robin, Turdus migratorius",
+    "16": "bulbul",
+    "17": "jay",
+    "18": "magpie",
+    "19": "chickadee",
+    "20": "water ouzel, dipper",
+    "21": "kite",
+    "22": "bald eagle, American eagle, Haliaeetus leucocephalus",
+    "23": "vulture",
+    "24": "great grey owl, great gray owl, Strix nebulosa",
+    "25": "European fire salamander, Salamandra salamandra",
+    "26": "common newt, Triturus vulgaris",
+    "27": "eft",
+    "28": "spotted salamander, Ambystoma maculatum",
+    "29": "axolotl, mud puppy, Ambystoma mexicanum",
+    "30": "bullfrog, Rana catesbeiana",
+    "31": "tree frog, tree-frog",
+    "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
+    "33": "loggerhead, loggerhead turtle, Caretta caretta",
+    "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
+    "35": "mud turtle",
+    "36": "terrapin",
+    "37": "box turtle, box tortoise",
+    "38": "banded gecko",
+    "39": "common iguana, iguana, Iguana iguana",
+    "40": "American chameleon, anole, Anolis carolinensis",
+    "41": "whiptail, whiptail lizard",
+    "42": "agama",
+    "43": "frilled lizard, Chlamydosaurus kingi",
+    "44": "alligator lizard",
+    "45": "Gila monster, Heloderma suspectum",
+    "46": "green lizard, Lacerta viridis",
+    "47": "African chameleon, Chamaeleo chamaeleon",
+    "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
+    "49": "African crocodile, Nile crocodile, Crocodylus niloticus",
+    "50": "American alligator, Alligator mississipiensis",
+    "51": "triceratops",
+    "52": "thunder snake, worm snake, Carphophis amoenus",
+    "53": "ringneck snake, ring-necked snake, ring snake",
+    "54": "hognose snake, puff adder, sand viper",
+    "55": "green snake, grass snake",
+    "56": "king snake, kingsnake",
+    "57": "garter snake, grass snake",
+    "58": "water snake",
+    "59": "vine snake",
+    "60": "night snake, Hypsiglena torquata",
+    "61": "boa constrictor, Constrictor constrictor",
+    "62": "rock python, rock snake, Python sebae",
+    "63": "Indian cobra, Naja naja",
+    "64": "green mamba",
+    "65": "sea snake",
+    "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
+    "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
+    "68": "sidewinder, horned rattlesnake, Crotalus cerastes",
+    "69": "trilobite",
+    "70": "harvestman, daddy longlegs, Phalangium opilio",
+    "71": "scorpion",
+    "72": "black and gold garden spider, Argiope aurantia",
+    "73": "barn spider, Araneus cavaticus",
+    "74": "garden spider, Aranea diademata",
+    "75": "black widow, Latrodectus mactans",
+    "76": "tarantula",
+    "77": "wolf spider, hunting spider",
+    "78": "tick",
+    "79": "centipede",
+    "80": "black grouse",
+    "81": "ptarmigan",
+    "82": "ruffed grouse, partridge, Bonasa umbellus",
+    "83": "prairie chicken, prairie grouse, prairie fowl",
+    "84": "peacock",
+    "85": "quail",
+    "86": "partridge",
+    "87": "African grey, African gray, Psittacus erithacus",
+    "88": "macaw",
+    "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
+    "90": "lorikeet",
+    "91": "coucal",
+    "92": "bee eater",
+    "93": "hornbill",
+    "94": "hummingbird",
+    "95": "jacamar",
+    "96": "toucan",
+    "97": "drake",
+    "98": "red-breasted merganser, Mergus serrator",
+    "99": "goose",
+    "100": "black swan, Cygnus atratus",
+    "101": "tusker",
+    "102": "echidna, spiny anteater, anteater",
+    "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
+    "104": "wallaby, brush kangaroo",
+    "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
+    "106": "wombat",
+    "107": "jellyfish",
+    "108": "sea anemone, anemone",
+    "109": "brain coral",
+    "110": "flatworm, platyhelminth",
+    "111": "nematode, nematode worm, roundworm",
+    "112": "conch",
+    "113": "snail",
+    "114": "slug",
+    "115": "sea slug, nudibranch",
+    "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
+    "117": "chambered nautilus, pearly nautilus, nautilus",
+    "118": "Dungeness crab, Cancer magister",
+    "119": "rock crab, Cancer irroratus",
+    "120": "fiddler crab",
+    "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
+    "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
+    "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
+    "124": "crayfish, crawfish, crawdad, crawdaddy",
+    "125": "hermit crab",
+    "126": "isopod",
+    "127": "white stork, Ciconia ciconia",
+    "128": "black stork, Ciconia nigra",
+    "129": "spoonbill",
+    "130": "flamingo",
+    "131": "little blue heron, Egretta caerulea",
+    "132": "American egret, great white heron, Egretta albus",
+    "133": "bittern",
+    "134": "crane",
+    "135": "limpkin, Aramus pictus",
+    "136": "European gallinule, Porphyrio porphyrio",
+    "137": "American coot, marsh hen, mud hen, water hen, Fulica americana",
+    "138": "bustard",
+    "139": "ruddy turnstone, Arenaria interpres",
+    "140": "red-backed sandpiper, dunlin, Erolia alpina",
+    "141": "redshank, Tringa totanus",
+    "142": "dowitcher",
+    "143": "oystercatcher, oyster catcher",
+    "144": "pelican",
+    "145": "king penguin, Aptenodytes patagonica",
+    "146": "albatross, mollymawk",
+    "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
+    "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
+    "149": "dugong, Dugong dugon",
+    "150": "sea lion",
+    "151": "Chihuahua",
+    "152": "Japanese spaniel",
+    "153": "Maltese dog, Maltese terrier, Maltese",
+    "154": "Pekinese, Pekingese, Peke",
+    "155": "Shih-Tzu",
+    "156": "Blenheim spaniel",
+    "157": "papillon",
+    "158": "toy terrier",
+    "159": "Rhodesian ridgeback",
+    "160": "Afghan hound, Afghan",
+    "161": "basset, basset hound",
+    "162": "beagle",
+    "163": "bloodhound, sleuthhound",
+    "164": "bluetick",
+    "165": "black-and-tan coonhound",
+    "166": "Walker hound, Walker foxhound",
+    "167": "English foxhound",
+    "168": "redbone",
+    "169": "borzoi, Russian wolfhound",
+    "170": "Irish wolfhound",
+    "171": "Italian greyhound",
+    "172": "whippet",
+    "173": "Ibizan hound, Ibizan Podenco",
+    "174": "Norwegian elkhound, elkhound",
+    "175": "otterhound, otter hound",
+    "176": "Saluki, gazelle hound",
+    "177": "Scottish deerhound, deerhound",
+    "178": "Weimaraner",
+    "179": "Staffordshire bullterrier, Staffordshire bull terrier",
+    "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
+    "181": "Bedlington terrier",
+    "182": "Border terrier",
+    "183": "Kerry blue terrier",
+    "184": "Irish terrier",
+    "185": "Norfolk terrier",
+    "186": "Norwich terrier",
+    "187": "Yorkshire terrier",
+    "188": "wire-haired fox terrier",
+    "189": "Lakeland terrier",
+    "190": "Sealyham terrier, Sealyham",
+    "191": "Airedale, Airedale terrier",
+    "192": "cairn, cairn terrier",
+    "193": "Australian terrier",
+    "194": "Dandie Dinmont, Dandie Dinmont terrier",
+    "195": "Boston bull, Boston terrier",
+    "196": "miniature schnauzer",
+    "197": "giant schnauzer",
+    "198": "standard schnauzer",
+    "199": "Scotch terrier, Scottish terrier, Scottie",
+    "200": "Tibetan terrier, chrysanthemum dog",
+    "201": "silky terrier, Sydney silky",
+    "202": "soft-coated wheaten terrier",
+    "203": "West Highland white terrier",
+    "204": "Lhasa, Lhasa apso",
+    "205": "flat-coated retriever",
+    "206": "curly-coated retriever",
+    "207": "golden retriever",
+    "208": "Labrador retriever",
+    "209": "Chesapeake Bay retriever",
+    "210": "German short-haired pointer",
+    "211": "vizsla, Hungarian pointer",
+    "212": "English setter",
+    "213": "Irish setter, red setter",
+    "214": "Gordon setter",
+    "215": "Brittany spaniel",
+    "216": "clumber, clumber spaniel",
+    "217": "English springer, English springer spaniel",
+    "218": "Welsh springer spaniel",
+    "219": "cocker spaniel, English cocker spaniel, cocker",
+    "220": "Sussex spaniel",
+    "221": "Irish water spaniel",
+    "222": "kuvasz",
+    "223": "schipperke",
+    "224": "groenendael",
+    "225": "malinois",
+    "226": "briard",
+    "227": "kelpie",
+    "228": "komondor",
+    "229": "Old English sheepdog, bobtail",
+    "230": "Shetland sheepdog, Shetland sheep dog, Shetland",
+    "231": "collie",
+    "232": "Border collie",
+    "233": "Bouvier des Flandres, Bouviers des Flandres",
+    "234": "Rottweiler",
+    "235": "German shepherd, German shepherd dog, German police dog, alsatian",
+    "236": "Doberman, Doberman pinscher",
+    "237": "miniature pinscher",
+    "238": "Greater Swiss Mountain dog",
+    "239": "Bernese mountain dog",
+    "240": "Appenzeller",
+    "241": "EntleBucher",
+    "242": "boxer",
+    "243": "bull mastiff",
+    "244": "Tibetan mastiff",
+    "245": "French bulldog",
+    "246": "Great Dane",
+    "247": "Saint Bernard, St Bernard",
+    "248": "Eskimo dog, husky",
+    "249": "malamute, malemute, Alaskan malamute",
+    "250": "Siberian husky",
+    "251": "dalmatian, coach dog, carriage dog",
+    "252": "affenpinscher, monkey pinscher, monkey dog",
+    "253": "basenji",
+    "254": "pug, pug-dog",
+    "255": "Leonberg",
+    "256": "Newfoundland, Newfoundland dog",
+    "257": "Great Pyrenees",
+    "258": "Samoyed, Samoyede",
+    "259": "Pomeranian",
+    "260": "chow, chow chow",
+    "261": "keeshond",
+    "262": "Brabancon griffon",
+    "263": "Pembroke, Pembroke Welsh corgi",
+    "264": "Cardigan, Cardigan Welsh corgi",
+    "265": "toy poodle",
+    "266": "miniature poodle",
+    "267": "standard poodle",
+    "268": "Mexican hairless",
+    "269": "timber wolf, grey wolf, gray wolf, Canis lupus",
+    "270": "white wolf, Arctic wolf, Canis lupus tundrarum",
+    "271": "red wolf, maned wolf, Canis rufus, Canis niger",
+    "272": "coyote, prairie wolf, brush wolf, Canis latrans",
+    "273": "dingo, warrigal, warragal, Canis dingo",
+    "274": "dhole, Cuon alpinus",
+    "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
+    "276": "hyena, hyaena",
+    "277": "red fox, Vulpes vulpes",
+    "278": "kit fox, Vulpes macrotis",
+    "279": "Arctic fox, white fox, Alopex lagopus",
+    "280": "grey fox, gray fox, Urocyon cinereoargenteus",
+    "281": "tabby, tabby cat",
+    "282": "tiger cat",
+    "283": "Persian cat",
+    "284": "Siamese cat, Siamese",
+    "285": "Egyptian cat",
+    "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
+    "287": "lynx, catamount",
+    "288": "leopard, Panthera pardus",
+    "289": "snow leopard, ounce, Panthera uncia",
+    "290": "jaguar, panther, Panthera onca, Felis onca",
+    "291": "lion, king of beasts, Panthera leo",
+    "292": "tiger, Panthera tigris",
+    "293": "cheetah, chetah, Acinonyx jubatus",
+    "294": "brown bear, bruin, Ursus arctos",
+    "295": "American black bear, black bear, Ursus americanus, Euarctos americanus",
+    "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
+    "297": "sloth bear, Melursus ursinus, Ursus ursinus",
+    "298": "mongoose",
+    "299": "meerkat, mierkat",
+    "300": "tiger beetle",
+    "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
+    "302": "ground beetle, carabid beetle",
+    "303": "long-horned beetle, longicorn, longicorn beetle",
+    "304": "leaf beetle, chrysomelid",
+    "305": "dung beetle",
+    "306": "rhinoceros beetle",
+    "307": "weevil",
+    "308": "fly",
+    "309": "bee",
+    "310": "ant, emmet, pismire",
+    "311": "grasshopper, hopper",
+    "312": "cricket",
+    "313": "walking stick, walkingstick, stick insect",
+    "314": "cockroach, roach",
+    "315": "mantis, mantid",
+    "316": "cicada, cicala",
+    "317": "leafhopper",
+    "318": "lacewing, lacewing fly",
+    "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
+    "320": "damselfly",
+    "321": "admiral",
+    "322": "ringlet, ringlet butterfly",
+    "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
+    "324": "cabbage butterfly",
+    "325": "sulphur butterfly, sulfur butterfly",
+    "326": "lycaenid, lycaenid butterfly",
+    "327": "starfish, sea star",
+    "328": "sea urchin",
+    "329": "sea cucumber, holothurian",
+    "330": "wood rabbit, cottontail, cottontail rabbit",
+    "331": "hare",
+    "332": "Angora, Angora rabbit",
+    "333": "hamster",
+    "334": "porcupine, hedgehog",
+    "335": "fox squirrel, eastern fox squirrel, Sciurus niger",
+    "336": "marmot",
+    "337": "beaver",
+    "338": "guinea pig, Cavia cobaya",
+    "339": "sorrel",
+    "340": "zebra",
+    "341": "hog, pig, grunter, squealer, Sus scrofa",
+    "342": "wild boar, boar, Sus scrofa",
+    "343": "warthog",
+    "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius",
+    "345": "ox",
+    "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
+    "347": "bison",
+    "348": "ram, tup",
+    "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
+    "350": "ibex, Capra ibex",
+    "351": "hartebeest",
+    "352": "impala, Aepyceros melampus",
+    "353": "gazelle",
+    "354": "Arabian camel, dromedary, Camelus dromedarius",
+    "355": "llama",
+    "356": "weasel",
+    "357": "mink",
+    "358": "polecat, fitch, foulmart, foumart, Mustela putorius",
+    "359": "black-footed ferret, ferret, Mustela nigripes",
+    "360": "otter",
+    "361": "skunk, polecat, wood pussy",
+    "362": "badger",
+    "363": "armadillo",
+    "364": "three-toed sloth, ai, Bradypus tridactylus",
+    "365": "orangutan, orang, orangutang, Pongo pygmaeus",
+    "366": "gorilla, Gorilla gorilla",
+    "367": "chimpanzee, chimp, Pan troglodytes",
+    "368": "gibbon, Hylobates lar",
+    "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus",
+    "370": "guenon, guenon monkey",
+    "371": "patas, hussar monkey, Erythrocebus patas",
+    "372": "baboon",
+    "373": "macaque",
+    "374": "langur",
+    "375": "colobus, colobus monkey",
+    "376": "proboscis monkey, Nasalis larvatus",
+    "377": "marmoset",
+    "378": "capuchin, ringtail, Cebus capucinus",
+    "379": "howler monkey, howler",
+    "380": "titi, titi monkey",
+    "381": "spider monkey, Ateles geoffroyi",
+    "382": "squirrel monkey, Saimiri sciureus",
+    "383": "Madagascar cat, ring-tailed lemur, Lemur catta",
+    "384": "indri, indris, Indri indri, Indri brevicaudatus",
+    "385": "Indian elephant, Elephas maximus",
+    "386": "African elephant, Loxodonta africana",
+    "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
+    "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
+    "389": "barracouta, snoek",
+    "390": "eel",
+    "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
+    "392": "rock beauty, Holocanthus tricolor",
+    "393": "anemone fish",
+    "394": "sturgeon",
+    "395": "gar, garfish, garpike, billfish, Lepisosteus osseus",
+    "396": "lionfish",
+    "397": "puffer, pufferfish, blowfish, globefish",
+    "398": "abacus",
+    "399": "abaya",
+    "400": "academic gown, academic robe, judge's robe",
+    "401": "accordion, piano accordion, squeeze box",
+    "402": "acoustic guitar",
+    "403": "aircraft carrier, carrier, flattop, attack aircraft carrier",
+    "404": "airliner",
+    "405": "airship, dirigible",
+    "406": "altar",
+    "407": "ambulance",
+    "408": "amphibian, amphibious vehicle",
+    "409": "analog clock",
+    "410": "apiary, bee house",
+    "411": "apron",
+    "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
+    "413": "assault rifle, assault gun",
+    "414": "backpack, back pack, knapsack, packsack, rucksack, haversack",
+    "415": "bakery, bakeshop, bakehouse",
+    "416": "balance beam, beam",
+    "417": "balloon",
+    "418": "ballpoint, ballpoint pen, ballpen, Biro",
+    "419": "Band Aid",
+    "420": "banjo",
+    "421": "bannister, banister, balustrade, balusters, handrail",
+    "422": "barbell",
+    "423": "barber chair",
+    "424": "barbershop",
+    "425": "barn",
+    "426": "barometer",
+    "427": "barrel, cask",
+    "428": "barrow, garden cart, lawn cart, wheelbarrow",
+    "429": "baseball",
+    "430": "basketball",
+    "431": "bassinet",
+    "432": "bassoon",
+    "433": "bathing cap, swimming cap",
+    "434": "bath towel",
+    "435": "bathtub, bathing tub, bath, tub",
+    "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
+    "437": "beacon, lighthouse, beacon light, pharos",
+    "438": "beaker",
+    "439": "bearskin, busby, shako",
+    "440": "beer bottle",
+    "441": "beer glass",
+    "442": "bell cote, bell cot",
+    "443": "bib",
+    "444": "bicycle-built-for-two, tandem bicycle, tandem",
+    "445": "bikini, two-piece",
+    "446": "binder, ring-binder",
+    "447": "binoculars, field glasses, opera glasses",
+    "448": "birdhouse",
+    "449": "boathouse",
+    "450": "bobsled, bobsleigh, bob",
+    "451": "bolo tie, bolo, bola tie, bola",
+    "452": "bonnet, poke bonnet",
+    "453": "bookcase",
+    "454": "bookshop, bookstore, bookstall",
+    "455": "bottlecap",
+    "456": "bow",
+    "457": "bow tie, bow-tie, bowtie",
+    "458": "brass, memorial tablet, plaque",
+    "459": "brassiere, bra, bandeau",
+    "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
+    "461": "breastplate, aegis, egis",
+    "462": "broom",
+    "463": "bucket, pail",
+    "464": "buckle",
+    "465": "bulletproof vest",
+    "466": "bullet train, bullet",
+    "467": "butcher shop, meat market",
+    "468": "cab, hack, taxi, taxicab",
+    "469": "caldron, cauldron",
+    "470": "candle, taper, wax light",
+    "471": "cannon",
+    "472": "canoe",
+    "473": "can opener, tin opener",
+    "474": "cardigan",
+    "475": "car mirror",
+    "476": "carousel, carrousel, merry-go-round, roundabout, whirligig",
+    "477": "carpenter's kit, tool kit",
+    "478": "carton",
+    "479": "car wheel",
+    "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
+    "481": "cassette",
+    "482": "cassette player",
+    "483": "castle",
+    "484": "catamaran",
+    "485": "CD player",
+    "486": "cello, violoncello",
+    "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone",
+    "488": "chain",
+    "489": "chainlink fence",
+    "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
+    "491": "chain saw, chainsaw",
+    "492": "chest",
+    "493": "chiffonier, commode",
+    "494": "chime, bell, gong",
+    "495": "china cabinet, china closet",
+    "496": "Christmas stocking",
+    "497": "church, church building",
+    "498": "cinema, movie theater, movie theatre, movie house, picture palace",
+    "499": "cleaver, meat cleaver, chopper",
+    "500": "cliff dwelling",
+    "501": "cloak",
+    "502": "clog, geta, patten, sabot",
+    "503": "cocktail shaker",
+    "504": "coffee mug",
+    "505": "coffeepot",
+    "506": "coil, spiral, volute, whorl, helix",
+    "507": "combination lock",
+    "508": "computer keyboard, keypad",
+    "509": "confectionery, confectionary, candy store",
+    "510": "container ship, containership, container vessel",
+    "511": "convertible",
+    "512": "corkscrew, bottle screw",
+    "513": "cornet, horn, trumpet, trump",
+    "514": "cowboy boot",
+    "515": "cowboy hat, ten-gallon hat",
+    "516": "cradle",
+    "517": "crane",
+    "518": "crash helmet",
+    "519": "crate",
+    "520": "crib, cot",
+    "521": "Crock Pot",
+    "522": "croquet ball",
+    "523": "crutch",
+    "524": "cuirass",
+    "525": "dam, dike, dyke",
+    "526": "desk",
+    "527": "desktop computer",
+    "528": "dial telephone, dial phone",
+    "529": "diaper, nappy, napkin",
+    "530": "digital clock",
+    "531": "digital watch",
+    "532": "dining table, board",
+    "533": "dishrag, dishcloth",
+    "534": "dishwasher, dish washer, dishwashing machine",
+    "535": "disk brake, disc brake",
+    "536": "dock, dockage, docking facility",
+    "537": "dogsled, dog sled, dog sleigh",
+    "538": "dome",
+    "539": "doormat, welcome mat",
+    "540": "drilling platform, offshore rig",
+    "541": "drum, membranophone, tympan",
+    "542": "drumstick",
+    "543": "dumbbell",
+    "544": "Dutch oven",
+    "545": "electric fan, blower",
+    "546": "electric guitar",
+    "547": "electric locomotive",
+    "548": "entertainment center",
+    "549": "envelope",
+    "550": "espresso maker",
+    "551": "face powder",
+    "552": "feather boa, boa",
+    "553": "file, file cabinet, filing cabinet",
+    "554": "fireboat",
+    "555": "fire engine, fire truck",
+    "556": "fire screen, fireguard",
+    "557": "flagpole, flagstaff",
+    "558": "flute, transverse flute",
+    "559": "folding chair",
+    "560": "football helmet",
+    "561": "forklift",
+    "562": "fountain",
+    "563": "fountain pen",
+    "564": "four-poster",
+    "565": "freight car",
+    "566": "French horn, horn",
+    "567": "frying pan, frypan, skillet",
+    "568": "fur coat",
+    "569": "garbage truck, dustcart",
+    "570": "gasmask, respirator, gas helmet",
+    "571": "gas pump, gasoline pump, petrol pump, island dispenser",
+    "572": "goblet",
+    "573": "go-kart",
+    "574": "golf ball",
+    "575": "golfcart, golf cart",
+    "576": "gondola",
+    "577": "gong, tam-tam",
+    "578": "gown",
+    "579": "grand piano, grand",
+    "580": "greenhouse, nursery, glasshouse",
+    "581": "grille, radiator grille",
+    "582": "grocery store, grocery, food market, market",
+    "583": "guillotine",
+    "584": "hair slide",
+    "585": "hair spray",
+    "586": "half track",
+    "587": "hammer",
+    "588": "hamper",
+    "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier",
+    "590": "hand-held computer, hand-held microcomputer",
+    "591": "handkerchief, hankie, hanky, hankey",
+    "592": "hard disc, hard disk, fixed disk",
+    "593": "harmonica, mouth organ, harp, mouth harp",
+    "594": "harp",
+    "595": "harvester, reaper",
+    "596": "hatchet",
+    "597": "holster",
+    "598": "home theater, home theatre",
+    "599": "honeycomb",
+    "600": "hook, claw",
+    "601": "hoopskirt, crinoline",
+    "602": "horizontal bar, high bar",
+    "603": "horse cart, horse-cart",
+    "604": "hourglass",
+    "605": "iPod",
+    "606": "iron, smoothing iron",
+    "607": "jack-o'-lantern",
+    "608": "jean, blue jean, denim",
+    "609": "jeep, landrover",
+    "610": "jersey, T-shirt, tee shirt",
+    "611": "jigsaw puzzle",
+    "612": "jinrikisha, ricksha, rickshaw",
+    "613": "joystick",
+    "614": "kimono",
+    "615": "knee pad",
+    "616": "knot",
+    "617": "lab coat, laboratory coat",
+    "618": "ladle",
+    "619": "lampshade, lamp shade",
+    "620": "laptop, laptop computer",
+    "621": "lawn mower, mower",
+    "622": "lens cap, lens cover",
+    "623": "letter opener, paper knife, paperknife",
+    "624": "library",
+    "625": "lifeboat",
+    "626": "lighter, light, igniter, ignitor",
+    "627": "limousine, limo",
+    "628": "liner, ocean liner",
+    "629": "lipstick, lip rouge",
+    "630": "Loafer",
+    "631": "lotion",
+    "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
+    "633": "loupe, jeweler's loupe",
+    "634": "lumbermill, sawmill",
+    "635": "magnetic compass",
+    "636": "mailbag, postbag",
+    "637": "mailbox, letter box",
+    "638": "maillot",
+    "639": "maillot, tank suit",
+    "640": "manhole cover",
+    "641": "maraca",
+    "642": "marimba, xylophone",
+    "643": "mask",
+    "644": "matchstick",
+    "645": "maypole",
+    "646": "maze, labyrinth",
+    "647": "measuring cup",
+    "648": "medicine chest, medicine cabinet",
+    "649": "megalith, megalithic structure",
+    "650": "microphone, mike",
+    "651": "microwave, microwave oven",
+    "652": "military uniform",
+    "653": "milk can",
+    "654": "minibus",
+    "655": "miniskirt, mini",
+    "656": "minivan",
+    "657": "missile",
+    "658": "mitten",
+    "659": "mixing bowl",
+    "660": "mobile home, manufactured home",
+    "661": "Model T",
+    "662": "modem",
+    "663": "monastery",
+    "664": "monitor",
+    "665": "moped",
+    "666": "mortar",
+    "667": "mortarboard",
+    "668": "mosque",
+    "669": "mosquito net",
+    "670": "motor scooter, scooter",
+    "671": "mountain bike, all-terrain bike, off-roader",
+    "672": "mountain tent",
+    "673": "mouse, computer mouse",
+    "674": "mousetrap",
+    "675": "moving van",
+    "676": "muzzle",
+    "677": "nail",
+    "678": "neck brace",
+    "679": "necklace",
+    "680": "nipple",
+    "681": "notebook, notebook computer",
+    "682": "obelisk",
+    "683": "oboe, hautboy, hautbois",
+    "684": "ocarina, sweet potato",
+    "685": "odometer, hodometer, mileometer, milometer",
+    "686": "oil filter",
+    "687": "organ, pipe organ",
+    "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO",
+    "689": "overskirt",
+    "690": "oxcart",
+    "691": "oxygen mask",
+    "692": "packet",
+    "693": "paddle, boat paddle",
+    "694": "paddlewheel, paddle wheel",
+    "695": "padlock",
+    "696": "paintbrush",
+    "697": "pajama, pyjama, pj's, jammies",
+    "698": "palace",
+    "699": "panpipe, pandean pipe, syrinx",
+    "700": "paper towel",
+    "701": "parachute, chute",
+    "702": "parallel bars, bars",
+    "703": "park bench",
+    "704": "parking meter",
+    "705": "passenger car, coach, carriage",
+    "706": "patio, terrace",
+    "707": "pay-phone, pay-station",
+    "708": "pedestal, plinth, footstall",
+    "709": "pencil box, pencil case",
+    "710": "pencil sharpener",
+    "711": "perfume, essence",
+    "712": "Petri dish",
+    "713": "photocopier",
+    "714": "pick, plectrum, plectron",
+    "715": "pickelhaube",
+    "716": "picket fence, paling",
+    "717": "pickup, pickup truck",
+    "718": "pier",
+    "719": "piggy bank, penny bank",
+    "720": "pill bottle",
+    "721": "pillow",
+    "722": "ping-pong ball",
+    "723": "pinwheel",
+    "724": "pirate, pirate ship",
+    "725": "pitcher, ewer",
+    "726": "plane, carpenter's plane, woodworking plane",
+    "727": "planetarium",
+    "728": "plastic bag",
+    "729": "plate rack",
+    "730": "plow, plough",
+    "731": "plunger, plumber's helper",
+    "732": "Polaroid camera, Polaroid Land camera",
+    "733": "pole",
+    "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
+    "735": "poncho",
+    "736": "pool table, billiard table, snooker table",
+    "737": "pop bottle, soda bottle",
+    "738": "pot, flowerpot",
+    "739": "potter's wheel",
+    "740": "power drill",
+    "741": "prayer rug, prayer mat",
+    "742": "printer",
+    "743": "prison, prison house",
+    "744": "projectile, missile",
+    "745": "projector",
+    "746": "puck, hockey puck",
+    "747": "punching bag, punch bag, punching ball, punchball",
+    "748": "purse",
+    "749": "quill, quill pen",
+    "750": "quilt, comforter, comfort, puff",
+    "751": "racer, race car, racing car",
+    "752": "racket, racquet",
+    "753": "radiator",
+    "754": "radio, wireless",
+    "755": "radio telescope, radio reflector",
+    "756": "rain barrel",
+    "757": "recreational vehicle, RV, R.V.",
+    "758": "reel",
+    "759": "reflex camera",
+    "760": "refrigerator, icebox",
+    "761": "remote control, remote",
+    "762": "restaurant, eating house, eating place, eatery",
+    "763": "revolver, six-gun, six-shooter",
+    "764": "rifle",
+    "765": "rocking chair, rocker",
+    "766": "rotisserie",
+    "767": "rubber eraser, rubber, pencil eraser",
+    "768": "rugby ball",
+    "769": "rule, ruler",
+    "770": "running shoe",
+    "771": "safe",
+    "772": "safety pin",
+    "773": "saltshaker, salt shaker",
+    "774": "sandal",
+    "775": "sarong",
+    "776": "sax, saxophone",
+    "777": "scabbard",
+    "778": "scale, weighing machine",
+    "779": "school bus",
+    "780": "schooner",
+    "781": "scoreboard",
+    "782": "screen, CRT screen",
+    "783": "screw",
+    "784": "screwdriver",
+    "785": "seat belt, seatbelt",
+    "786": "sewing machine",
+    "787": "shield, buckler",
+    "788": "shoe shop, shoe-shop, shoe store",
+    "789": "shoji",
+    "790": "shopping basket",
+    "791": "shopping cart",
+    "792": "shovel",
+    "793": "shower cap",
+    "794": "shower curtain",
+    "795": "ski",
+    "796": "ski mask",
+    "797": "sleeping bag",
+    "798": "slide rule, slipstick",
+    "799": "sliding door",
+    "800": "slot, one-armed bandit",
+    "801": "snorkel",
+    "802": "snowmobile",
+    "803": "snowplow, snowplough",
+    "804": "soap dispenser",
+    "805": "soccer ball",
+    "806": "sock",
+    "807": "solar dish, solar collector, solar furnace",
+    "808": "sombrero",
+    "809": "soup bowl",
+    "810": "space bar",
+    "811": "space heater",
+    "812": "space shuttle",
+    "813": "spatula",
+    "814": "speedboat",
+    "815": "spider web, spider's web",
+    "816": "spindle",
+    "817": "sports car, sport car",
+    "818": "spotlight, spot",
+    "819": "stage",
+    "820": "steam locomotive",
+    "821": "steel arch bridge",
+    "822": "steel drum",
+    "823": "stethoscope",
+    "824": "stole",
+    "825": "stone wall",
+    "826": "stopwatch, stop watch",
+    "827": "stove",
+    "828": "strainer",
+    "829": "streetcar, tram, tramcar, trolley, trolley car",
+    "830": "stretcher",
+    "831": "studio couch, day bed",
+    "832": "stupa, tope",
+    "833": "submarine, pigboat, sub, U-boat",
+    "834": "suit, suit of clothes",
+    "835": "sundial",
+    "836": "sunglass",
+    "837": "sunglasses, dark glasses, shades",
+    "838": "sunscreen, sunblock, sun blocker",
+    "839": "suspension bridge",
+    "840": "swab, swob, mop",
+    "841": "sweatshirt",
+    "842": "swimming trunks, bathing trunks",
+    "843": "swing",
+    "844": "switch, electric switch, electrical switch",
+    "845": "syringe",
+    "846": "table lamp",
+    "847": "tank, army tank, armored combat vehicle, armoured combat vehicle",
+    "848": "tape player",
+    "849": "teapot",
+    "850": "teddy, teddy bear",
+    "851": "television, television system",
+    "852": "tennis ball",
+    "853": "thatch, thatched roof",
+    "854": "theater curtain, theatre curtain",
+    "855": "thimble",
+    "856": "thresher, thrasher, threshing machine",
+    "857": "throne",
+    "858": "tile roof",
+    "859": "toaster",
+    "860": "tobacco shop, tobacconist shop, tobacconist",
+    "861": "toilet seat",
+    "862": "torch",
+    "863": "totem pole",
+    "864": "tow truck, tow car, wrecker",
+    "865": "toyshop",
+    "866": "tractor",
+    "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
+    "868": "tray",
+    "869": "trench coat",
+    "870": "tricycle, trike, velocipede",
+    "871": "trimaran",
+    "872": "tripod",
+    "873": "triumphal arch",
+    "874": "trolleybus, trolley coach, trackless trolley",
+    "875": "trombone",
+    "876": "tub, vat",
+    "877": "turnstile",
+    "878": "typewriter keyboard",
+    "879": "umbrella",
+    "880": "unicycle, monocycle",
+    "881": "upright, upright piano",
+    "882": "vacuum, vacuum cleaner",
+    "883": "vase",
+    "884": "vault",
+    "885": "velvet",
+    "886": "vending machine",
+    "887": "vestment",
+    "888": "viaduct",
+    "889": "violin, fiddle",
+    "890": "volleyball",
+    "891": "waffle iron",
+    "892": "wall clock",
+    "893": "wallet, billfold, notecase, pocketbook",
+    "894": "wardrobe, closet, press",
+    "895": "warplane, military plane",
+    "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin",
+    "897": "washer, automatic washer, washing machine",
+    "898": "water bottle",
+    "899": "water jug",
+    "900": "water tower",
+    "901": "whiskey jug",
+    "902": "whistle",
+    "903": "wig",
+    "904": "window screen",
+    "905": "window shade",
+    "906": "Windsor tie",
+    "907": "wine bottle",
+    "908": "wing",
+    "909": "wok",
+    "910": "wooden spoon",
+    "911": "wool, woolen, woollen",
+    "912": "worm fence, snake fence, snake-rail fence, Virginia fence",
+    "913": "wreck",
+    "914": "yawl",
+    "915": "yurt",
+    "916": "web site, website, internet site, site",
+    "917": "comic book",
+    "918": "crossword puzzle, crossword",
+    "919": "street sign",
+    "920": "traffic light, traffic signal, stoplight",
+    "921": "book jacket, dust cover, dust jacket, dust wrapper",
+    "922": "menu",
+    "923": "plate",
+    "924": "guacamole",
+    "925": "consomme",
+    "926": "hot pot, hotpot",
+    "927": "trifle",
+    "928": "ice cream, icecream",
+    "929": "ice lolly, lolly, lollipop, popsicle",
+    "930": "French loaf",
+    "931": "bagel, beigel",
+    "932": "pretzel",
+    "933": "cheeseburger",
+    "934": "hotdog, hot dog, red hot",
+    "935": "mashed potato",
+    "936": "head cabbage",
+    "937": "broccoli",
+    "938": "cauliflower",
+    "939": "zucchini, courgette",
+    "940": "spaghetti squash",
+    "941": "acorn squash",
+    "942": "butternut squash",
+    "943": "cucumber, cuke",
+    "944": "artichoke, globe artichoke",
+    "945": "bell pepper",
+    "946": "cardoon",
+    "947": "mushroom",
+    "948": "Granny Smith",
+    "949": "strawberry",
+    "950": "orange",
+    "951": "lemon",
+    "952": "fig",
+    "953": "pineapple, ananas",
+    "954": "banana",
+    "955": "jackfruit, jak, jack",
+    "956": "custard apple",
+    "957": "pomegranate",
+    "958": "hay",
+    "959": "carbonara",
+    "960": "chocolate sauce, chocolate syrup",
+    "961": "dough",
+    "962": "meat loaf, meatloaf",
+    "963": "pizza, pizza pie",
+    "964": "potpie",
+    "965": "burrito",
+    "966": "red wine",
+    "967": "espresso",
+    "968": "cup",
+    "969": "eggnog",
+    "970": "alp",
+    "971": "bubble",
+    "972": "cliff, drop, drop-off",
+    "973": "coral reef",
+    "974": "geyser",
+    "975": "lakeside, lakeshore",
+    "976": "promontory, headland, head, foreland",
+    "977": "sandbar, sand bar",
+    "978": "seashore, coast, seacoast, sea-coast",
+    "979": "valley, vale",
+    "980": "volcano",
+    "981": "ballplayer, baseball player",
+    "982": "groom, bridegroom",
+    "983": "scuba diver",
+    "984": "rapeseed",
+    "985": "daisy",
+    "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
+    "987": "corn",
+    "988": "acorn",
+    "989": "hip, rose hip, rosehip",
+    "990": "buckeye, horse chestnut, conker",
+    "991": "coral fungus",
+    "992": "agaric",
+    "993": "gyromitra",
+    "994": "stinkhorn, carrion fungus",
+    "995": "earthstar",
+    "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
+    "997": "bolete",
+    "998": "ear, spike, capitulum",
+    "999": "toilet tissue, toilet paper, bathroom tissue"
+}
\ No newline at end of file

test/data/model.test.conv2d.json

@@ -126,7 +126,6 @@
         2,
         2
       ]
-    },
-
+    }
   ]
 }

test/testUtils/testUtils.es6

@@ -22,7 +22,7 @@ const unitPath = {
     'split': 'model.test.split.json'
 };
 // 制定运行的 op
-const modelType = 'split';
+const modelType = 'conv2d';
 // 制定运行的 op
 const unitData = unitPath[modelType];
 
@@ -63,13 +63,13 @@ async function run() {
     // 获取 NHWC -> NCHW 的 输出
     const outputNCHWShape = getOutputShape();
     const outputNHWCShape = nchwShape2nhwcShape(outputNCHWShape);
-    let nchwResult = Utils.nhwc2nchw(result, outputNHWCShape);
 
-    console.log('result');
-    console.log(result);
+    let nchwResult = Utils.nhwc2nchw(result, outputNHWCShape);
+    const formatData = Utils.formatReadData(nchwResult, outputNCHWShape);
 
     console.log('NCHW RESULT');
-    console.log(nchwResult);
+    console.log(formatData);
+
 }
 
 run();
@@ -112,6 +112,7 @@ function nchwShape2nhwcShape(nchw) {
         }
         batchNCHW = batch.concat(nchw);
     }
+
     const N = batchNCHW[0];
     const C = batchNCHW[1];
     const H = batchNCHW[2];