Moved Image Search Component To Compilation
This commit is contained in:
devansh bawari
parent
3a57016884
commit
e6668c442b
File diff suppressed because one or more lines are too long
|
|
@ -1,5 +1,5 @@
|
|||
{
|
||||
"/js/velocity.js": "/js/velocity.js?id=c4402b16a156190bbbe1",
|
||||
"/js/velocity.js": "/js/velocity.js?id=1fbd2262da4ff080d425",
|
||||
"/css/velocity-admin.css": "/css/velocity-admin.css?id=4322502d80a0e4a0affd",
|
||||
"/css/velocity.css": "/css/velocity.css?id=170046c99c8d10e332ef"
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,164 @@
|
|||
<template>
|
||||
<div class="d-inline-block image-search-container" v-if="status == 'true'">
|
||||
<label for="image-search-container">
|
||||
<i class="icon camera-icon"></i>
|
||||
|
||||
<input
|
||||
type="file"
|
||||
class="d-none"
|
||||
ref="image_search_input"
|
||||
id="image-search-container"
|
||||
v-on:change="loadLibrary()"
|
||||
/>
|
||||
|
||||
<img
|
||||
class="d-none"
|
||||
id="uploaded-image-url"
|
||||
:src="uploadedImageUrl"
|
||||
alt=""
|
||||
width="20"
|
||||
height="20"
|
||||
/>
|
||||
</label>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script>
|
||||
export default {
|
||||
props: ['status', 'uploadSrc', 'viewSrc', 'commonError', 'sizeLimitEror'],
|
||||
|
||||
data: function() {
|
||||
return {
|
||||
uploadedImageUrl: ''
|
||||
};
|
||||
},
|
||||
|
||||
methods: {
|
||||
/**
|
||||
* This method will dynamically load the scripts. Because image search library
|
||||
* only used when someone clicks or interact with the image button. This will
|
||||
* reduce some data usage for mobile user.
|
||||
*/
|
||||
loadLibrary: function() {
|
||||
this.loadDynamicScript(
|
||||
'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs',
|
||||
() => {
|
||||
this.loadDynamicScript(
|
||||
'https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet',
|
||||
() => {
|
||||
this.uploadImage();
|
||||
}
|
||||
);
|
||||
}
|
||||
);
|
||||
},
|
||||
|
||||
/**
|
||||
* This method will analyze the image and load the sets on the bases of trained model.
|
||||
*/
|
||||
uploadImage: function() {
|
||||
var imageInput = this.$refs.image_search_input;
|
||||
|
||||
if (imageInput.files && imageInput.files[0]) {
|
||||
if (imageInput.files[0].type.includes('image/')) {
|
||||
if (imageInput.files[0].size <= 2000000) {
|
||||
this.$root.showLoader();
|
||||
|
||||
var formData = new FormData();
|
||||
|
||||
formData.append('image', imageInput.files[0]);
|
||||
|
||||
axios
|
||||
.post(this.uploadSrc, formData, {
|
||||
headers: {
|
||||
'Content-Type': 'multipart/form-data'
|
||||
}
|
||||
})
|
||||
.then(response => {
|
||||
var net;
|
||||
var self = this;
|
||||
this.uploadedImageUrl = response.data;
|
||||
|
||||
async function app() {
|
||||
var analysedResult = [];
|
||||
|
||||
var queryString = '';
|
||||
|
||||
net = await mobilenet.load();
|
||||
|
||||
const imgElement = document.getElementById(
|
||||
'uploaded-image-url'
|
||||
);
|
||||
|
||||
try {
|
||||
const result = await net.classify(
|
||||
imgElement
|
||||
);
|
||||
|
||||
result.forEach(function(value) {
|
||||
queryString = value.className.split(
|
||||
','
|
||||
);
|
||||
|
||||
if (queryString.length > 1) {
|
||||
analysedResult = analysedResult.concat(
|
||||
queryString
|
||||
);
|
||||
} else {
|
||||
analysedResult.push(
|
||||
queryString[0]
|
||||
);
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
self.$root.hideLoader();
|
||||
|
||||
window.showAlert(
|
||||
`alert-danger`,
|
||||
this.__('shop.general.alert.error'),
|
||||
this.commonError
|
||||
);
|
||||
}
|
||||
|
||||
localStorage.searchedImageUrl =
|
||||
self.uploadedImageUrl;
|
||||
|
||||
queryString = localStorage.searched_terms = analysedResult.join(
|
||||
'_'
|
||||
);
|
||||
|
||||
self.$root.hideLoader();
|
||||
|
||||
window.location.href = `${self.viewSrc}?term=${queryString}&image-search=1`;
|
||||
}
|
||||
|
||||
app();
|
||||
})
|
||||
.catch(() => {
|
||||
this.$root.hideLoader();
|
||||
|
||||
window.showAlert(
|
||||
`alert-danger`,
|
||||
this.__('shop.general.alert.error'),
|
||||
this.commonError
|
||||
);
|
||||
});
|
||||
} else {
|
||||
imageInput.value = '';
|
||||
|
||||
window.showAlert(
|
||||
`alert-danger`,
|
||||
this.__('shop.general.alert.error'),
|
||||
this.sizeLimitEror
|
||||
);
|
||||
}
|
||||
} else {
|
||||
imageInput.value = '';
|
||||
|
||||
alert('Only images (.jpeg, .jpg, .png, ..) are allowed.');
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
</script>
|
||||
|
|
@ -74,6 +74,7 @@ Vue.component('carousel-component', require('./UI/components/carousel'));
|
|||
Vue.component('child-sidebar', require('./UI/components/child-sidebar'));
|
||||
Vue.component('card-list-header', require('./UI/components/card-header'));
|
||||
Vue.component('magnify-image', require('./UI/components/image-magnifier'));
|
||||
Vue.component('image-search-component', require('./UI/components/image-search'));
|
||||
Vue.component('compare-component', require('./UI/components/product-compare'));
|
||||
Vue.component('shimmer-component', require('./UI/components/shimmer-component'));
|
||||
Vue.component('responsive-sidebar', require('./UI/components/responsive-sidebar'));
|
||||
|
|
|
|||
|
|
@ -112,7 +112,13 @@
|
|||
aria-label="Search"
|
||||
v-model:value="inputVal" />
|
||||
|
||||
<image-search-component></image-search-component>
|
||||
<image-search-component
|
||||
status="{{core()->getConfigData('general.content.shop.image_search') == '1' ? 'true' : 'false'}}"
|
||||
upload-src="{{ route('shop.image.search.upload') }}"
|
||||
view-src="{{ route('shop.search.index') }}"
|
||||
common-error="{{ __('shop::app.common.error') }}"
|
||||
size-limit-error="{{ __('shop::app.common.image-upload-limit') }}">
|
||||
</image-search-component>
|
||||
|
||||
<button class="btn" type="button" id="header-search-icon" aria-label="Search" @click="submitForm">
|
||||
<i class="fs16 fw6 rango-search"></i>
|
||||
|
|
@ -175,26 +181,6 @@
|
|||
</div>
|
||||
</script>
|
||||
|
||||
<script type="text/x-template" id="image-search-component-template">
|
||||
<div class="d-inline-block image-search-container" v-if="image_search_status">
|
||||
<label for="image-search-container">
|
||||
<i class="icon camera-icon"></i>
|
||||
|
||||
<input
|
||||
type="file"
|
||||
class="d-none"
|
||||
ref="image_search_input"
|
||||
id="image-search-container"
|
||||
v-on:change="loadLibrary()" />
|
||||
|
||||
<img
|
||||
class="d-none"
|
||||
id="uploaded-image-url"
|
||||
:src="uploadedImageUrl" alt="" width="20" height="20" />
|
||||
</label>
|
||||
</div>
|
||||
</script>
|
||||
|
||||
<script type="text/javascript">
|
||||
(() => {
|
||||
Vue.component('cart-btn', {
|
||||
|
|
@ -362,128 +348,6 @@
|
|||
}
|
||||
}
|
||||
});
|
||||
|
||||
Vue.component('image-search-component', {
|
||||
template: '#image-search-component-template',
|
||||
|
||||
data: function() {
|
||||
return {
|
||||
uploadedImageUrl: '',
|
||||
image_search_status: "{{core()->getConfigData('general.content.shop.image_search') == '1' ? 'true' : 'false'}}" == 'true'
|
||||
}
|
||||
},
|
||||
|
||||
methods: {
|
||||
/**
|
||||
* This method will dynamically load the scripts. Because image search library
|
||||
* only used when someone clicks or interact with the image button. This will
|
||||
* reduce some data usage for mobile user.
|
||||
*/
|
||||
loadLibrary: function() {
|
||||
this.loadDynamicScript('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs', () => {
|
||||
this.loadDynamicScript('https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet', () => {
|
||||
this.uploadImage();
|
||||
});
|
||||
});
|
||||
},
|
||||
|
||||
/**
|
||||
* This method will analyze the image and load the sets on the bases of trained model.
|
||||
*/
|
||||
uploadImage: function() {
|
||||
var imageInput = this.$refs.image_search_input;
|
||||
|
||||
if (imageInput.files && imageInput.files[0]) {
|
||||
if (imageInput.files[0].type.includes('image/')) {
|
||||
if (imageInput.files[0].size <= 2000000) {
|
||||
this.$root.showLoader();
|
||||
|
||||
var formData = new FormData();
|
||||
|
||||
formData.append('image', imageInput.files[0]);
|
||||
|
||||
axios.post(
|
||||
"{{ route('shop.image.search.upload') }}",
|
||||
formData,
|
||||
{
|
||||
headers: {
|
||||
'Content-Type': 'multipart/form-data'
|
||||
}
|
||||
}
|
||||
).then(response => {
|
||||
var net;
|
||||
var self = this;
|
||||
this.uploadedImageUrl = response.data;
|
||||
|
||||
|
||||
async function app() {
|
||||
var analysedResult = [];
|
||||
|
||||
var queryString = '';
|
||||
|
||||
net = await mobilenet.load();
|
||||
|
||||
const imgElement = document.getElementById('uploaded-image-url');
|
||||
|
||||
try {
|
||||
const result = await net.classify(imgElement);
|
||||
|
||||
result.forEach(function(value) {
|
||||
queryString = value.className.split(',');
|
||||
|
||||
if (queryString.length > 1) {
|
||||
analysedResult = analysedResult.concat(queryString)
|
||||
} else {
|
||||
analysedResult.push(queryString[0])
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
self.$root.hideLoader();
|
||||
|
||||
window.showAlert(
|
||||
`alert-danger`,
|
||||
this.__('shop.general.alert.error'),
|
||||
"{{ __('shop::app.common.error') }}"
|
||||
);
|
||||
}
|
||||
|
||||
localStorage.searchedImageUrl = self.uploadedImageUrl;
|
||||
|
||||
queryString = localStorage.searched_terms = analysedResult.join('_');
|
||||
|
||||
self.$root.hideLoader();
|
||||
|
||||
window.location.href = "{{ route('shop.search.index') }}" + '?term=' + queryString + '&image-search=1';
|
||||
}
|
||||
|
||||
app();
|
||||
}).catch(() => {
|
||||
this.$root.hideLoader();
|
||||
|
||||
window.showAlert(
|
||||
`alert-danger`,
|
||||
this.__('shop.general.alert.error'),
|
||||
"{{ __('shop::app.common.error') }}"
|
||||
);
|
||||
});
|
||||
} else {
|
||||
imageInput.value = '';
|
||||
|
||||
window.showAlert(
|
||||
`alert-danger`,
|
||||
this.__('shop.general.alert.error'),
|
||||
"{{ __('shop::app.common.image-upload-limit') }}"
|
||||
);
|
||||
}
|
||||
} else {
|
||||
imageInput.value = '';
|
||||
|
||||
alert('Only images (.jpeg, .jpg, .png, ..) are allowed.');
|
||||
}
|
||||
}
|
||||
},
|
||||
}
|
||||
});
|
||||
})();
|
||||
</script>
|
||||
@endpush
|
||||
Loading…
Reference in New Issue