add image recognition classification

This commit is contained in:
2025-01-06 17:42:27 +08:00
parent 6854e41b82
commit 90a68221fe
59 changed files with 19194 additions and 111 deletions

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@@ -4,6 +4,8 @@ import {langStore} from "@/store/modules/langStore.ts";
import {useCommentStore} from "@/store/modules/commentStore.ts";
import {useWebSocketStore} from "@/store/modules/websocketStore.ts";
import {useUpscaleStore} from "@/store/modules/upscaleStore.ts";
import {useMenuStore} from "@/store/modules/menuStore.ts";
import {useUploadStore} from "@/store/modules/uploadStore.ts";
export default function useStore() {
return {
@@ -13,5 +15,7 @@ export default function useStore() {
comment: useCommentStore(),
websocket: useWebSocketStore(),
upscale: useUpscaleStore(),
menu: useMenuStore(),
upload: useUploadStore(),
};
}

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@@ -0,0 +1,18 @@
export const useMenuStore = defineStore(
'menu',
() => {
const currentMenu = ref<string>('photo/all');
return {
currentMenu,
};
},
{
// 开启数据持久化
persistedState: {
persist: true,
storage: localStorage,
key: 'menu',
includePaths: ['currentMenu']
}
}
);

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@@ -0,0 +1,80 @@
import {initNSFWJs, predictNSFW} from "@/utils/nsfw/nsfw.ts";
import i18n from "@/locales";
import {NSFWJS} from "nsfwjs";
import {message} from "ant-design-vue";
import {loadCocoSsd, loadMobileNet} from "@/utils/tfjs";
export const useUploadStore = defineStore(
'upload',
() => {
const openUploadDrawer = ref<boolean>(false);
const image: HTMLImageElement = document.createElement('img');
/**
* 图片上传前的校验
* @param file
*/
async function beforeUpload(file: File) {
image.src = URL.createObjectURL(file);
// 图片 NSFW 检测
const nsfw: NSFWJS = await initNSFWJs();
const isNSFW: boolean = await predictNSFW(nsfw, image);
if (isNSFW) {
message.error(i18n.global.t('comment.illegalImage'));
return false;
}
const predictions = await loadMobileNet(image);
console.log(predictions);
const prediction = await loadCocoSsd(image);
console.log(prediction);
return true;
}
/**
* 自定义上传请求
* @param file
*/
async function customUploadRequest(file: any) {
const progress = {percent: 1};
const intervalId = setInterval(() => {
if (progress.percent < 100) {
progress.percent++;
file.onProgress(progress);
} else {
clearInterval(intervalId);
}
}, 100);
file.onSuccess(true);
// file.onSuccess = () => {
// message.success(i18n.global.t('comment.uploadSuccess'));
// };
// file.onError = () => {
// message.error(i18n.global.t('comment.uploadError'));
// };
// return Promise.resolve(file);
}
return {
openUploadDrawer,
beforeUpload,
customUploadRequest
};
},
{
// 开启数据持久化
persistedState: {
persist: false,
storage: localStorage,
key: 'upload',
includePaths: []
}
}
);

View File

@@ -101,6 +101,13 @@ export const useUpscaleStore = defineStore(
const msg = ref<string>("");
const progressBar = ref<number>(0);
const status = ref<string>('loading');
const dragging = ref<boolean>(false);
const linePosition = ref(0);
const draggingLine = ref(false);
/**
* 图片上传前的校验
* @param file
@@ -118,10 +125,11 @@ export const useUpscaleStore = defineStore(
uploading.value = false;
return false;
}
await clear();
fileData.value = urlData;
await loadImg(image);
uploading.value = false;
await clear();
return true;
}
@@ -142,6 +150,12 @@ export const useUpscaleStore = defineStore(
msg.value = "";
progressBar.value = 0;
isProcessing.value = false;
dragging.value = false;
linePosition.value = 0;
draggingLine.value = false;
input.value = null;
inputAlpha.value = null;
wasmModule.value = null;
}
/**
@@ -203,6 +217,9 @@ export const useUpscaleStore = defineStore(
msg,
progressBar,
status,
dragging,
linePosition,
draggingLine,
loadImg,
beforeUpload,
customUploadRequest,