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fix: model url for image classification (#933)
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‎docs/manual/intro-to-framework.md

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{
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"specVersion": "2.0",
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"type": "ObjectDetection",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/datasource.js?url=https://pc-github.oss-us-west-1.aliyuncs.com/dataset/object-detection-yolo-min.zip",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/datasource.js?url=https://pc-github.oss-us-west-1.aliyuncs.com/dataset/object-detection-yolo-min.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/model.js",
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"artifact": [{
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"processor": "[email protected]",
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"target": "./object-detection-yolo-model.zip"

‎docs/manual/intro-to-pipeline.md

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```js
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{
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"specVersion": "2.0",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/model.js",
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"artifact": [{
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"processor": "[email protected]",
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"target": "/tmp/mobilenet-model.zip"

‎docs/tutorials/component-image-classification.md

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{
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"specVersion": "2.0",
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"type": "ImageClassification",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/model.js",
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"artifact": [],
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"options": {
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"framework": "[email protected]",

‎docs/tutorials/machine-learning-overview.md

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```js
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{
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/mnist.zip"
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/mnist.zip"
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}
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```
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we use [image classification dataflow](https://github.com/imgcook/pipcook-script/blob/master/scripts/image-classification-mobilenet/src/dataflow.ts) to resize the image to 224x224 in our dataset represented by an array `[224, 224]`, which is required for the next step.
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```js
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{
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"dataflow": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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"dataflow": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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}
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```
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Then define the [model script](https://github.com/imgcook/pipcook-script/blob/master/scripts/image-classification-mobilenet/src/model.ts) and paremeters for train:
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```js
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{
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/model.js",
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"options": {
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"framework": "[email protected]",
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"train": {

‎docs/zh-cn/manual/intro-to-framework.md

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{
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"specVersion": "2.0",
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"type": "ObjectDetection",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/datasource.js?url=https://pc-github.oss-us-west-1.aliyuncs.com/dataset/object-detection-yolo-min.zip",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/datasource.js?url=https://pc-github.oss-us-west-1.aliyuncs.com/dataset/object-detection-yolo-min.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/model.js",
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"artifact": [{
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"target": "./object-detection-yolo-model.zip"

‎docs/zh-cn/manual/intro-to-pipeline.md

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{
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"specVersion": "2.0",
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"type": "ImageClassification",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/model.js",
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"artifact": [{
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"processor": "[email protected]",
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"target": "/tmp/mobilenet-model.zip"

‎docs/zh-cn/tutorials/component-image-classification.md

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{
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"specVersion": "2.0",
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"type": "ImageClassification",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/imageclass-test.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/model.js",
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"artifact": [],
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"options": {
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"framework": "[email protected]",

‎docs/zh-cn/tutorials/machine-learning-overview.md

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```js
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/mnist.zip"
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/datasource.js?url=http://ai-sample.oss-cn-hangzhou.aliyuncs.com/image_classification/datasets/mnist.zip"
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```
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我们使用 [image classification dataflow](https://github.com/imgcook/pipcook-script/blob/master/scripts/image-classification-mobilenet/src/dataflow.ts) 脚本来调整每张图片的尺寸为 224x224，用一个数组 `[224, 224]` 表示：
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```js
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{
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"dataflow": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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"dataflow": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/dataflow.js?size=224&size=224"
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}
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```
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然后定义[模型脚本](https://github.com/imgcook/pipcook-script/blob/master/scripts/image-classification-mobilenet/src/model.ts)和参数：
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```js
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification-mobilenet/build/model.js",
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"options": {
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"train": {

‎example/pipelines/README-CN.md

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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/text-classification-bayes/build/datasource.js?url=file:///path/to/dataset-directory"
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/text-classification-bayes/build/datasource.js?url=file:///path/to/dataset-directory"
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```
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/text-classification-bayes/build/datasource.js?url=http:///oss-host/my-dataset.zip"
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/text-classification-bayes/build/datasource.js?url=http:///oss-host/my-dataset.zip"
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```
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```json
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/text-classification-bayes/build/model.js?mode=en"
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```
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/datasource.js?url=file:///path/to/dataset-directory"
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```
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/datasource.js?url=http://oss-host/dataset.zip"
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```
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```json
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/dataflow.js?size=224&size=224"
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```json
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/datasource.js?format=pascalvoc&url=https://host/dataset.zip"
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同样的，如果在本地训练，可以将数据源改为本地文件夹路径:
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/datasource.js?format=pascalvoc&url=file:///path/to/dataset-directory"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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```

‎example/pipelines/README.md

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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/text-classification-bayes/build/datasource.js?url=file:///path/to/dataset-directory"
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/text-classification-bayes/build/datasource.js?url=http:///oss-host/my-dataset.zip"
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```json
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/text-classification-bayes/build/model.js?mode=en"
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/datasource.js?url=file:///path/to/dataset-directory"
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```json
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/datasource.js?url=http://oss-host/dataset.zip"
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```json
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/dataflow.js?size=224&size=224"
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```json
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification/build/model.js?modelUrl=resnet",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/model.js?modelUrl=resnet",
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}
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```
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@@ -140,15 +140,15 @@ Object Detection pipeline supports [PascalVoc](../../docs/spec/dataset.md) and [
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```json
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{
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/datasource.js?format=pascalvoc&url=https://host/dataset.zip"
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/datasource.js?format=pascalvoc&url=https://host/dataset.zip"
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}
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```
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You can specify the `url` as a local folder path:
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```json
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{
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/datasource.js?format=pascalvoc&url=file:///path/to/dataset-directory"
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/datasource.js?format=pascalvoc&url=file:///path/to/dataset-directory"
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}
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```
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@@ -158,7 +158,7 @@ As with the image classification pipeline, YOLO requires that the dimension (wid
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```json
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{
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/object-detection-yolo/build/dataflow.js?size=416&size=416"
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]
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}
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```

‎example/pipelines/image-classification-mobilenet.json

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Original file line numberDiff line numberDiff line change
@@ -1,11 +1,11 @@
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{
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"specVersion": "2.0",
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"type": "ImageClassification",
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"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification/build/datasource.js?url=https://pipcook-cloud.oss-cn-hangzhou.aliyuncs.com/dataset/mnist.zip",
4+
"datasource": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/datasource.js?url=https://pipcook-cloud.oss-cn-hangzhou.aliyuncs.com/dataset/mnist.zip",
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"dataflow": [
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification/build/dataflow.js?size=224&size=224"
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"https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/dataflow.js?size=224&size=224"
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],
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@59d3e2f/scripts/image-classification/build/model.js",
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"model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@9d210de/scripts/image-classification/build/model.js",
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"options": {
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"framework": "[email protected]",
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"train": {

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