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Fashion Mnist model #20

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Fashion Mnist model #20

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e9b6ff3
Merge pull request #4 from Applib-Learning/main
surendra-del Jul 15, 2022
3041802
fashion mnist model req files
surendra-del Jul 15, 2022
4bc2154
Model to load
surendra-del Jul 15, 2022
dc554e0
Update res_system.ets
surendra-del Jul 15, 2022
5621a31
Update index.ets
surendra-del Jul 15, 2022
812421d
Fashion Mnist model
surendra-del Jul 15, 2022
2b59a0a
Fashion Mnist model
surendra-del Jul 15, 2022
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112 changes: 112 additions & 0 deletions entry/src/main/ets/MainAbility/pages/FashionMnist.ets
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6 changes: 5 additions & 1 deletion entry/src/main/ets/MainAbility/pages/index.ets
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@@ -211,10 +211,14 @@ struct Index {
.onClick(() => {
router.push({ uri: 'pages/SelfieSegmentation' })
}).margin('25px')
Button("hand detection") // Load pretrained hand detection model
Button("hand detection") // Load pretrained hand detection model
.onClick(() => {
router.push({ uri: 'pages/handpose' })
}).margin('25px')
Button("Fashion Mnist") // Load pretrained Fashion Mnist model
.onClick(() => {
router.push({ uri: 'pages/FashionMnist' })
}).margin('25px')
}
.width('100%')
}
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39 changes: 38 additions & 1 deletion tfjs-core/src/io/res_system.ets
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Original file line number Diff line number Diff line change
@@ -209,6 +209,9 @@ export class NodeFileSystem implements IOHandler {
else if (path==('/handpose')){
myData = await import('@ohos/tfjs-models/models/handpose/model.json');
}
else if(path==('/fashion')){
myData = await import('@ohos/tfjs-models/models/fashion/model.json');
}
console.info("myData " + myData);
let data = JSON.parse((JSON.stringify(myData)));
console.info(data.format);
@@ -389,6 +392,37 @@ export class NodeFileSystem implements IOHandler {
})
});
}
else if(path ==('/fashion')){
import('@ohos/tfjs-models/models/fashion/model.json').then(({default: myData}) => {
console.info("myData " + myData);
Promise.resolve(JSON.parse((JSON.stringify(myData))))
.then(data => {
/*console.info(data);
console.info(data.modelTopology);*/
console.info(data.format);

const modelTopology = data.modelTopology;
if (modelTopology == null) {
console.info("myData modelTopology null ");
reject(new Error(`modelTopology field is missing from file `));
return;
}
const weightsManifest = data.weightsManifest;
if (weightsManifest == null) {
console.info("myData weightsManifest null ");
reject(new Error(`weightManifest field is missing from file `));
return;
}
/*const modelArtifactsPromise = getModelArtifactsForJSON(
data, (weightsManifest) => this.loadWeights(weightsManifest));
resolve(modelArtifactsPromise);*/

return getModelArtifactsForJSON(
data,
(weightsManifest) => this.loadWeights(weightsManifest, ""));
})
});
}
});
}

@@ -453,7 +487,10 @@ export class NodeFileSystem implements IOHandler {
}
else if (path==('/handpose')){
jsonOfWeights = await import('@ohos/tfjs-models/models/handpose/weights.json');
}
}
else if(path==('/fashion')){
jsonOfWeights = await import('@ohos/tfjs-models/models/fashion/weights.json');
}
let jsonObj = JSON.parse(JSON.stringify(jsonOfWeights))
let jsonArray = []
for (var item in jsonObj) {
1 change: 1 addition & 0 deletions tfjs-models/models/fashion/model.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
{"format": "graph-model", "generatedBy": "2.8.2", "convertedBy": "TensorFlow.js Converter v1.7.0", "signature": {"inputs": {"conv2d_22_input": {"name": "conv2d_22_input:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "28"}, {"size": "28"}, {"size": "1"}]}}}, "outputs": {"activation_35": {"name": "Identity:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "10"}]}}}}, "modelTopology": {"node": [{"name": "StatefulPartitionedCall/sequential_6/flatten_6/Const", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/dense_12/MatMul/ReadVariableOp", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1024"}, {"size": "512"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/dense_12/BiasAdd/ReadVariableOp", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "512"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/mul", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "512"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/sub", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "512"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/dense_13/MatMul/ReadVariableOp", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "512"}, {"size": "10"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/dense_13/BiasAdd/ReadVariableOp", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "10"}]}}}}}, {"name": "conv2d_22_input", "op": "Placeholder", "attr": {"shape": {"shape": {"dim": [{"size": "-1"}, {"size": "28"}, {"size": "28"}, {"size": "1"}]}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_22/Conv2D_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "1"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_22/Conv2D_bn_offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_23/Conv2D_weights", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "32"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_23/Conv2D_bn_offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_24/Conv2D_weights", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "64"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_24/Conv2D_bn_offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_25/Conv2D_weights", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "64"}, {"size": "64"}]}}}}}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_25/Conv2D_bn_offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/activation_30/Relu", "op": "_FusedConv2D", "input": ["conv2d_22_input", "StatefulPartitionedCall/sequential_6/conv2d_22/Conv2D_weights", "StatefulPartitionedCall/sequential_6/conv2d_22/Conv2D_bn_offset"], "device": "/device:CPU:0", "attr": {"explicit_paddings": {"list": {}}, "T": {"type": "DT_FLOAT"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "use_cudnn_on_gpu": {"b": true}, "data_format": {"s": "TkhXQw=="}, "padding": {"s": "VkFMSUQ="}, "num_args": {"i": "1"}, "epsilon": {"f": 0.0}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}}}, {"name": "StatefulPartitionedCall/sequential_6/activation_31/Relu", "op": "_FusedConv2D", "input": ["StatefulPartitionedCall/sequential_6/activation_30/Relu", "StatefulPartitionedCall/sequential_6/conv2d_23/Conv2D_weights", "StatefulPartitionedCall/sequential_6/conv2d_23/Conv2D_bn_offset"], "device": "/device:CPU:0", "attr": {"T": {"type": "DT_FLOAT"}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "VkFMSUQ="}, "data_format": {"s": "TkhXQw=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "explicit_paddings": {"list": {}}, "num_args": {"i": "1"}, "epsilon": {"f": 0.0}}}, {"name": "StatefulPartitionedCall/sequential_6/max_pooling2d_12/MaxPool", "op": "MaxPool", "input": ["StatefulPartitionedCall/sequential_6/activation_31/Relu"], "attr": {"explicit_paddings": {"list": {}}, "data_format": {"s": "TkhXQw=="}, "ksize": {"list": {"i": ["1", "2", "2", "1"]}}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "T": {"type": "DT_FLOAT"}, "padding": {"s": "VkFMSUQ="}}}, {"name": "StatefulPartitionedCall/sequential_6/activation_32/Relu", "op": "_FusedConv2D", "input": ["StatefulPartitionedCall/sequential_6/max_pooling2d_12/MaxPool", "StatefulPartitionedCall/sequential_6/conv2d_24/Conv2D_weights", "StatefulPartitionedCall/sequential_6/conv2d_24/Conv2D_bn_offset"], "device": "/device:CPU:0", "attr": {"explicit_paddings": {"list": {}}, "num_args": {"i": "1"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "data_format": {"s": "TkhXQw=="}, "T": {"type": "DT_FLOAT"}, "use_cudnn_on_gpu": {"b": true}, "epsilon": {"f": 0.0}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "padding": {"s": "VkFMSUQ="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}}}, {"name": "StatefulPartitionedCall/sequential_6/activation_33/Relu", "op": "_FusedConv2D", "input": ["StatefulPartitionedCall/sequential_6/activation_32/Relu", "StatefulPartitionedCall/sequential_6/conv2d_25/Conv2D_weights", "StatefulPartitionedCall/sequential_6/conv2d_25/Conv2D_bn_offset"], "device": "/device:CPU:0", "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "padding": {"s": "VkFMSUQ="}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "use_cudnn_on_gpu": {"b": true}, "T": {"type": "DT_FLOAT"}, "epsilon": {"f": 0.0}, "explicit_paddings": {"list": {}}, "num_args": {"i": "1"}, "data_format": {"s": "TkhXQw=="}}}, {"name": "StatefulPartitionedCall/sequential_6/max_pooling2d_13/MaxPool", "op": "MaxPool", "input": ["StatefulPartitionedCall/sequential_6/activation_33/Relu"], "attr": {"explicit_paddings": {"list": {}}, "data_format": {"s": "TkhXQw=="}, "padding": {"s": "VkFMSUQ="}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "ksize": {"list": {"i": ["1", "2", "2", "1"]}}, "T": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/flatten_6/Reshape", "op": "Reshape", "input": ["StatefulPartitionedCall/sequential_6/max_pooling2d_13/MaxPool", "StatefulPartitionedCall/sequential_6/flatten_6/Const"], "attr": {"T": {"type": "DT_FLOAT"}, "Tshape": {"type": "DT_INT32"}}}, {"name": "StatefulPartitionedCall/sequential_6/dense_12/BiasAdd", "op": "_FusedMatMul", "input": ["StatefulPartitionedCall/sequential_6/flatten_6/Reshape", "StatefulPartitionedCall/sequential_6/dense_12/MatMul/ReadVariableOp", "StatefulPartitionedCall/sequential_6/dense_12/BiasAdd/ReadVariableOp"], "device": "/device:CPU:0", "attr": {"T": {"type": "DT_FLOAT"}, "transpose_a": {"b": false}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "num_args": {"i": "1"}, "transpose_b": {"b": false}, "epsilon": {"f": 0.0}}}, {"name": "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/mul_1", "op": "Mul", "input": ["StatefulPartitionedCall/sequential_6/dense_12/BiasAdd", "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/add_1", "op": "AddV2", "input": ["StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/mul_1", "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/sub"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/activation_34/Relu", "op": "Relu", "input": ["StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/add_1"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "StatefulPartitionedCall/sequential_6/dense_13/BiasAdd", "op": "_FusedMatMul", "input": ["StatefulPartitionedCall/sequential_6/activation_34/Relu", "StatefulPartitionedCall/sequential_6/dense_13/MatMul/ReadVariableOp", "StatefulPartitionedCall/sequential_6/dense_13/BiasAdd/ReadVariableOp"], "device": "/device:CPU:0", "attr": {"num_args": {"i": "1"}, "T": {"type": "DT_FLOAT"}, "epsilon": {"f": 0.0}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "transpose_b": {"b": false}, "transpose_a": {"b": false}}}, {"name": "StatefulPartitionedCall/sequential_6/activation_35/Softmax", "op": "Softmax", "input": ["StatefulPartitionedCall/sequential_6/dense_13/BiasAdd"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "Identity", "op": "Identity", "input": ["StatefulPartitionedCall/sequential_6/activation_35/Softmax"], "attr": {"T": {"type": "DT_FLOAT"}}}], "library": {}, "versions": {"producer": 1087}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "StatefulPartitionedCall/sequential_6/flatten_6/Const", "shape": [2], "dtype": "int32"}, {"name": "StatefulPartitionedCall/sequential_6/dense_12/MatMul/ReadVariableOp", "shape": [1024, 512], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/dense_12/BiasAdd/ReadVariableOp", "shape": [512], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/mul", "shape": [512], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/batch_normalization_29/batchnorm/sub", "shape": [512], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/dense_13/MatMul/ReadVariableOp", "shape": [512, 10], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/dense_13/BiasAdd/ReadVariableOp", "shape": [10], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_22/Conv2D_weights", "shape": [3, 3, 1, 32], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_22/Conv2D_bn_offset", "shape": [32], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_23/Conv2D_weights", "shape": [3, 3, 32, 32], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_23/Conv2D_bn_offset", "shape": [32], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_24/Conv2D_weights", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_24/Conv2D_bn_offset", "shape": [64], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_25/Conv2D_weights", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "StatefulPartitionedCall/sequential_6/conv2d_25/Conv2D_bn_offset", "shape": [64], "dtype": "float32"}]}]}
1 change: 1 addition & 0 deletions tfjs-models/models/fashion/weights.json
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