{
"plugins": {
"dataCollect": {
"package": "@pipcook/plugins-mnist-data-collect",
"params": {
"trainCount": 8000,
"testCount": 2000
}
},
"dataAccess": {
"package": "@pipcook/plugins-pascalvoc-data-access"
},
"dataProcess": {
"package": "@pipcook/plugins-image-data-process",
"params": {
"resize": [224, 224]
}
},
"modelDefine": {
"package": "@pipcook/plugins-tensorflow-mobilenet-model-define",
"params": {
"batchSize": 8,
"freeze": true
}
},
"modelTrain": {
"package": "@pipcook/plugins-image-classification-tensorflow-model-train",
"params": {
"epochs": 15
}
},
"modelEvaluate": {
"package": "@pipcook/plugins-image-classification-tensorflow-model-evaluate"
}
}
}
【Pipeline】从上图可以看到 Pipeline 十分简单，只需要按照预先定义的字段配置你需要的插件及参数即可，然后再通过 Pipcook Tools 来运行它就行了：
$ pipcook run https://foobar.xzz/mobilenet-classification.json
