mirror of https://github.com/doccano/doccano.git
pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
226 lines
5.4 KiB
226 lines
5.4 KiB
<template>
|
|
<layout-text v-if="image.id">
|
|
<template #header>
|
|
<toolbar-laptop
|
|
:doc-id="image.id"
|
|
:enable-auto-labeling.sync="enableAutoLabeling"
|
|
:guideline-text="project.guideline"
|
|
:is-reviewd="image.isConfirmed"
|
|
:total="images.count"
|
|
class="d-none d-sm-block"
|
|
@click:clear-label="clear"
|
|
@click:review="confirm"
|
|
>
|
|
<v-btn-toggle
|
|
v-model="labelOption"
|
|
mandatory
|
|
class="ms-2"
|
|
>
|
|
<v-btn icon>
|
|
<v-icon>{{ mdiFormatListBulleted }}</v-icon>
|
|
</v-btn>
|
|
<v-btn icon>
|
|
<v-icon>{{ mdiText }}</v-icon>
|
|
</v-btn>
|
|
</v-btn-toggle>
|
|
</toolbar-laptop>
|
|
<toolbar-mobile
|
|
:total="images.count"
|
|
class="d-flex d-sm-none"
|
|
/>
|
|
</template>
|
|
<template #content>
|
|
<v-card
|
|
v-shortkey="shortKeys"
|
|
@shortkey="addOrRemove"
|
|
>
|
|
<v-card-title>
|
|
<label-group
|
|
v-if="labelOption === 0"
|
|
:labels="labels"
|
|
:annotations="annotations"
|
|
:single-label="project.singleClassClassification"
|
|
@add="add"
|
|
@remove="remove"
|
|
/>
|
|
<label-select
|
|
v-else
|
|
:labels="labels"
|
|
:annotations="annotations"
|
|
:single-label="project.singleClassClassification"
|
|
@add="add"
|
|
@remove="remove"
|
|
/>
|
|
</v-card-title>
|
|
<v-divider />
|
|
<v-img
|
|
contain
|
|
:src="image.url"
|
|
:max-height="imageSize.height"
|
|
class="grey lighten-2"
|
|
/>
|
|
</v-card>
|
|
</template>
|
|
<template #sidebar>
|
|
<list-metadata :metadata="image.meta" />
|
|
</template>
|
|
</layout-text>
|
|
</template>
|
|
|
|
<script>
|
|
import _ from 'lodash'
|
|
import { mdiText, mdiFormatListBulleted } from '@mdi/js'
|
|
import { toRefs } from '@nuxtjs/composition-api'
|
|
import LabelGroup from '@/components/tasks/textClassification/LabelGroup'
|
|
import LabelSelect from '@/components/tasks/textClassification/LabelSelect'
|
|
import LayoutText from '@/components/tasks/layout/LayoutText'
|
|
import ListMetadata from '@/components/tasks/metadata/ListMetadata'
|
|
import ToolbarLaptop from '@/components/tasks/toolbar/ToolbarLaptop'
|
|
import ToolbarMobile from '@/components/tasks/toolbar/ToolbarMobile'
|
|
import { useLabelList } from '@/composables/useLabelList'
|
|
|
|
export default {
|
|
|
|
components: {
|
|
LabelGroup,
|
|
LabelSelect,
|
|
LayoutText,
|
|
ListMetadata,
|
|
ToolbarLaptop,
|
|
ToolbarMobile
|
|
},
|
|
layout: 'workspace',
|
|
|
|
validate({ params, query }) {
|
|
return /^\d+$/.test(params.id) && /^\d+$/.test(query.page)
|
|
},
|
|
|
|
setup() {
|
|
const { state, getLabelList, shortKeys } = useLabelList()
|
|
|
|
return {
|
|
...toRefs(state),
|
|
getLabelList,
|
|
shortKeys,
|
|
}
|
|
},
|
|
|
|
data() {
|
|
return {
|
|
annotations: [],
|
|
images: [],
|
|
project: {},
|
|
enableAutoLabeling: false,
|
|
labelOption: 0,
|
|
imageSize: {
|
|
height: 0,
|
|
width: 0
|
|
},
|
|
mdiText,
|
|
mdiFormatListBulleted
|
|
}
|
|
},
|
|
|
|
async fetch() {
|
|
this.images = await this.$services.example.fetchOne(
|
|
this.projectId,
|
|
this.$route.query.page,
|
|
this.$route.query.q,
|
|
this.$route.query.isChecked
|
|
)
|
|
const image = this.images.items[0]
|
|
this.setImageSize(image)
|
|
if (this.enableAutoLabeling) {
|
|
await this.autoLabel(image.id)
|
|
}
|
|
await this.list(image.id)
|
|
},
|
|
|
|
computed: {
|
|
projectId() {
|
|
return this.$route.params.id
|
|
},
|
|
image() {
|
|
if (_.isEmpty(this.images) || this.images.items.length === 0) {
|
|
return {}
|
|
} else {
|
|
return this.images.items[0]
|
|
}
|
|
}
|
|
},
|
|
|
|
watch: {
|
|
'$route.query': '$fetch',
|
|
enableAutoLabeling(val) {
|
|
if (val) {
|
|
this.list(this.image.id)
|
|
}
|
|
}
|
|
},
|
|
|
|
async created() {
|
|
this.getLabelList(this.projectId)
|
|
this.project = await this.$services.project.findById(this.projectId)
|
|
},
|
|
|
|
methods: {
|
|
async list(imageId) {
|
|
this.annotations = await this.$services.textClassification.list(this.projectId, imageId)
|
|
},
|
|
|
|
async remove(id) {
|
|
await this.$services.textClassification.delete(this.projectId, this.image.id, id)
|
|
await this.list(this.image.id)
|
|
},
|
|
|
|
async add(labelId) {
|
|
await this.$services.textClassification.create(this.projectId, this.image.id, labelId)
|
|
await this.list(this.image.id)
|
|
},
|
|
|
|
async addOrRemove(event) {
|
|
const labelId = parseInt(event.srcKey, 10)
|
|
const annotation = this.annotations.find(item => item.label === labelId)
|
|
if (annotation) {
|
|
await this.remove(annotation.id)
|
|
} else {
|
|
await this.add(labelId)
|
|
}
|
|
},
|
|
|
|
async clear() {
|
|
await this.$services.textClassification.clear(this.projectId, this.image.id)
|
|
await this.list(this.image.id)
|
|
},
|
|
|
|
async autoLabel(imageId) {
|
|
try {
|
|
await this.$services.textClassification.autoLabel(this.projectId, imageId)
|
|
} catch (e) {
|
|
console.log(e.response.data.detail)
|
|
}
|
|
},
|
|
|
|
async confirm() {
|
|
await this.$services.example.confirm(this.projectId, this.image.id)
|
|
await this.$fetch()
|
|
},
|
|
|
|
setImageSize(val) {
|
|
const img = new Image()
|
|
const self = this
|
|
img.onload = function() {
|
|
self.imageSize.height = this.height
|
|
self.imageSize.width = this.width
|
|
}
|
|
img.src = val.url
|
|
}
|
|
}
|
|
}
|
|
</script>
|
|
|
|
<style scoped>
|
|
.text-pre-wrap {
|
|
white-space: pre-wrap !important;
|
|
}
|
|
</style>
|