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Add controls for AILabImage component stories - Half-Fix #36
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109 changes: 92 additions & 17 deletions
109
examples/ai-lab-example/storybook/AILabImage.stories.tsx
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,30 +1,105 @@ | ||
| import React from 'react'; | ||
| import { AILabImage } from 'ai-lab'; | ||
| import { ComponentStory, ComponentMeta } from '@storybook/react'; | ||
|
|
||
| export default { | ||
| title: 'Example/AILabImage', | ||
| title: 'Example/AILabImage/SSD Model', | ||
| component: AILabImage, | ||
| argTypes: { | ||
| imageSource: { | ||
| options: ['dinner', 'cat', 'beach'], | ||
| control: { type: 'select' }, | ||
| }, | ||
| threshold: { | ||
| control: { type: 'range', min: 0, max: 1, step: 0.01 }, | ||
| }, | ||
| maxBoxes: { | ||
| control: { type: 'range', min: 0, max: 50, step: 1 }, | ||
| }, | ||
| iouThreshold: { | ||
| control: { type: 'range', min: 0, max: 1, step: 0.01 }, | ||
| }, | ||
| }, | ||
| } as ComponentMeta<typeof AILabImage>; | ||
|
|
||
| const gimmeImage = (src: string) => { | ||
| switch (src) { | ||
| case 'dinner': | ||
| return require('./dinner.jpg'); | ||
| case 'cat': | ||
| return require('./cat.jpeg'); | ||
| default: | ||
| return require('./beach.jpeg'); | ||
| } | ||
| }; | ||
|
|
||
| // @ts-ignore | ||
| const imageStory = args => { | ||
| const theImage = require('./dinner.jpg'); | ||
| //////////////////////////////////////////////////////////////// | ||
| // Image Defaults | ||
| //////////////////////////////////////////////////////////////// | ||
|
|
||
| const imageStory: ComponentStory<typeof AILabImage> = (args, { loaded }) => { | ||
| //@ts-ignore | ||
| const theImage = gimmeImage(args.imageSource); | ||
| return ( | ||
| <AILabImage perf={args.perf} src={theImage} style={{ width: '100%' }} /> | ||
| <AILabImage | ||
| model={loaded.SSDModel} | ||
| src={theImage} | ||
| style={{ height: '100%' }} | ||
| /> | ||
| ); | ||
| }; | ||
|
|
||
| export const withAnImage = imageStory.bind({}); | ||
| export const withAnImageDefaults = imageStory.bind({}); | ||
| // @ts-ignore | ||
| withAnImage.args = { | ||
| withAnImageDefaults.args = { | ||
| imageSource: 'cat', | ||
| }; | ||
| withAnImageDefaults.parameters = { | ||
| controls: { include: ['imageSource'] }, | ||
| }; | ||
|
|
||
| //////////////////////////////////////////////////////////////// | ||
| // Image with Params | ||
| //////////////////////////////////////////////////////////////// | ||
| const imageParamsStory: ComponentStory<typeof AILabImage> = ( | ||
| args, | ||
| { loaded } | ||
| ) => { | ||
| //@ts-ignore | ||
| const theImage = gimmeImage(args.imageSource); | ||
| return ( | ||
| <AILabImage | ||
| model={loaded.SSDModel} | ||
| perf={args.perf} | ||
| src={theImage} | ||
| style={{ height: '100%' }} | ||
| modelInfo={{ | ||
| modelType: 'ssd', | ||
| threshold: args.threshold, | ||
| nmsActive: args.nmsActive, | ||
| maxBoxes: args.maxBoxes, | ||
| }} | ||
| /> | ||
| ); | ||
| }; | ||
| export const withImageAndCustomizedSettings = imageParamsStory.bind({}); | ||
| withImageAndCustomizedSettings.args = { | ||
| perf: true, | ||
| // restrain: false, | ||
| // modelInfo: { | ||
| // model: 'this is the model', | ||
| // objectDetection: true, | ||
| // labels: ['dog', 'cat'], | ||
| // threshold: 0.4, | ||
| // max: 20, | ||
| // IOU: 0.5, | ||
| // }, | ||
| imageSource: 'dinner', | ||
| threshold: 0.4, | ||
| iouThreshold: 0.5, | ||
| maxBoxes: 20, | ||
| nmsActive: true, | ||
| }; | ||
|
|
||
| withImageAndCustomizedSettings.parameters = { | ||
| controls: { | ||
| include: [ | ||
| 'threshold', | ||
| 'imageSource', | ||
| 'perf', | ||
| 'nmsActive', | ||
| 'maxBoxes', | ||
| 'iouThreshold', | ||
| ], | ||
| }, | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,9 +1,21 @@ | ||
| import * as tf from '@tensorflow/tfjs'; | ||
|
|
||
| export const parameters = { | ||
| actions: { argTypesRegex: "^on[A-Z].*" }, | ||
| actions: { argTypesRegex: '^on[A-Z].*' }, | ||
| controls: { | ||
| matchers: { | ||
| color: /(background|color)$/i, | ||
| date: /Date$/, | ||
| }, | ||
| }, | ||
| } | ||
| }; | ||
|
|
||
| // Load models to feed into all components | ||
| // @ts-ignore | ||
| export const loaders = [ | ||
| async () => ({ | ||
| SSDModel: await tf.loadGraphModel( | ||
| 'https://storage.googleapis.com/tfhub-tfjs-modules/tensorflow/tfjs-model/ssd_mobilenet_v2/1/default/1/model.json' | ||
| ), | ||
| }), | ||
| ]; |
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I'm not sure why this dispose was commented out, but it needs to be brought back in to protect from mem-leaks
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You are right! I was getting type errors and since fast refresh disposed tensors I commented those out then forgot to brought them back even after the type errors are fixed in different components.