commit b85363c83cc04ae4f9e5974317de0872820a4b1a
Author: lc18518571399 <18518571399@163.com>
Date: Sun Jul 7 22:32:40 2024 +0800
1233
diff --git a/app.py b/app.py
new file mode 100644
index 0000000..ababac3
--- /dev/null
+++ b/app.py
@@ -0,0 +1,75 @@
+import torch
+from flask import Flask, request
+import torch.nn as nn
+import pickle
+import jieba
+
+app = Flask(__name__)
+# 初始化模型
+result = ""
+
+
+class Model(nn.Module):
+ def __init__(self):
+ super(Model, self).__init__()
+ self.embedding = nn.Embedding(10002, 300, padding_idx=10001)
+ self.lstm = nn.LSTM(300, 128, 2, bidirectional=True, batch_first=True, dropout=0.5)
+ self.fc = nn.Linear(128 * 2, 2)
+
+ def forward(self, x):
+ x, _ = x
+ out = self.embedding(x) # [batch_size, seq_len, embeding]=[128, 32, 300]
+ out, _ = self.lstm(out)
+ out = self.fc(out[:, -1, :]) # 句子最后时刻的 hidden state
+ return out
+
+
+model = Model()
+model.load_state_dict(torch.load('./THUCNews/saved_dict/TextRNN.ckpt', map_location=torch.device("cpu")))
+model.eval()
+stopwords = open('./THUCNews/data/hit_stopwords.txt', encoding='utf8').read().split('\n')[:-1]
+
+vocab = pickle.load(open('./THUCNews/data/vocab.pkl', 'rb'))
+classes = ['negative', 'positive']
+
+s = '空调吵，住在电梯旁，电梯门口放垃圾箱，极臭，布草间没关门，也臭，臭到房间里，门下塞毛巾也挡不住臭味，开窗外面吵，关窗空调吵，楼下早餐桌子上摆满垃圾没人整理，不能再差的体验了'
+
+
+# s = '东东还算不错。重装系统时，网上查不到怎么修改BIOS，才能安装？问题请帮忙解决！'
+
+
+@app.route('/api/content', methods=["POST"])
+def content():
+ get_json = request.get_json()
+ global model
+ global result
+ global classes
+ result = ""
+ s = get_json.get("content")[0]
+ print(6777, s)
+ try:
+ s = list(jieba.lcut(s))
+ s = [i for i in s if i not in stopwords]
+ s = [vocab.get(i, 10000) for i in s]
+ if len(s) > 64:
+ s = s[:64]
+ else:
+ for i in range(64 - len(s)):
+ s.append(vocab['<PAD>'])
+
+ outputs = model((torch.LongTensor(s).unsqueeze(0), None))
+ print(torch.argmax(outputs))
+ result = classes[torch.argmax(outputs)]
+ except Exception as e: # 未捕获到异常，程序直接报错
+ result = e
+ return "pridicting"
+
+
+@app.route('/api/model_res', methods=['GET'])
+def model_res():
+ global result
+ return str(result)
+
+
+if __name__ == '__main__':
+ app.run(host="127.0.0.1", port=8006)
diff --git a/code.zip b/code.zip
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diff --git a/follicle_groups.pt b/follicle_groups.pt
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diff --git a/follicles.pt b/follicles.pt
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diff --git a/front/.gitignore b/front/.gitignore
new file mode 100644
index 0000000..a547bf3
--- /dev/null
+++ b/front/.gitignore
@@ -0,0 +1,24 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
diff --git a/front/README.md b/front/README.md
new file mode 100644
index 0000000..e0acb37
--- /dev/null
+++ b/front/README.md
@@ -0,0 +1,7 @@
+# Vue 3 + Vite
+
+This template should help get you started developing with Vue 3 in Vite. The template uses Vue 3 `<script setup>` SFCs, check out the [script setup docs](https://v3.vuejs.org/api/sfc-script-setup.html#sfc-script-setup) to learn more.
+
+## Recommended IDE Setup
+
+- [VS Code](https://code.visualstudio.com/) + [Vue - Official](https://marketplace.visualstudio.com/items?itemName=Vue.volar) (previously Volar) and disable Vetur
diff --git a/front/index.html b/front/index.html
new file mode 100644
index 0000000..e83aaeb
--- /dev/null
+++ b/front/index.html
@@ -0,0 +1,13 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+ <head>
+ <meta charset="UTF-8" />
+ <link rel="icon" type="image/svg+xml" href="/vite.svg" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>毛囊结果检测</title>
+ </head>
+ <body>
+ <div id="app"></div>
+ <script type="module" src="/src/main.js"></script>
+ </body>
+</html>
diff --git a/front/package-lock.json b/front/package-lock.json
new file mode 100644
index 0000000..4098b92
--- /dev/null
+++ b/front/package-lock.json
@@ -0,0 +1,1989 @@
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diff --git a/front/package.json b/front/package.json
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+</svg>
diff --git a/front/src/App.vue b/front/src/App.vue
new file mode 100644
index 0000000..5fefa16
--- /dev/null
+++ b/front/src/App.vue
@@ -0,0 +1,169 @@
+<template>
+ <div class="bgimg">
+ <el-row class="pa-2">
+ <el-col :span="8" class="text-align">
+ <div>
+ <el-input class="opacitybg" v-model="content" :rows="15" type="textarea" placeholder="请输入文本进行预测" />
+ </div>
+ <div class="pa-2">
+ <el-button type="success" @click="sendData" :disabled="loading" :loading="loading">
+ 开始预测
+ </el-button>
+ </div>
+ </el-col>
+ <el-col :span="16" class="sendButton text-align">
+ <div v-if="result">
+ <el-tag type="success" v-if="result === 'positive'" class="tagClass">
+ 预测结果：{{ classZh[result] }}
+ <el-icon style="width: 48px;font-size: 1.6em;position: relative;top: 20px;">
+ <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
+ <path
+ d="M12,2C6.47,2 2,6.47 2,12C2,17.53 6.47,22 12,22A10,10 0 0,0 22,12C22,6.47 17.5,2 12,2M12,20A8,8 0 0,1 4,12A8,8 0 0,1 12,4A8,8 0 0,1 20,12A8,8 0 0,1 12,20M13,9.94L14.06,11L15.12,9.94L16.18,11L17.24,9.94L15.12,7.82L13,9.94M8.88,9.94L9.94,11L11,9.94L8.88,7.82L6.76,9.94L7.82,11L8.88,9.94M12,17.5C14.33,17.5 16.31,16.04 17.11,14H6.89C7.69,16.04 9.67,17.5 12,17.5Z" />
+ </svg>
+ </el-icon>
+ </el-tag>
+ <el-tag type="danger" v-else-if="result === 'negative'" class="tagClass">
+ 预测结果：{{ classZh[result] }}
+ <el-icon style="width: 48px;font-size: 1.6em;position: relative;top: 20px;">
+ <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
+ <path
+ d="M20,12A8,8 0 0,0 12,4A8,8 0 0,0 4,12A8,8 0 0,0 12,20A8,8 0 0,0 20,12M22,12A10,10 0 0,1 12,22A10,10 0 0,1 2,12A10,10 0 0,1 12,2A10,10 0 0,1 22,12M15.5,8C16.3,8 17,8.7 17,9.5C17,10.3 16.3,11 15.5,11C14.7,11 14,10.3 14,9.5C14,8.7 14.7,8 15.5,8M10,9.5C10,10.3 9.3,11 8.5,11C7.7,11 7,10.3 7,9.5C7,8.7 7.7,8 8.5,8C9.3,8 10,8.7 10,9.5M12,14C13.75,14 15.29,14.72 16.19,15.81L14.77,17.23C14.32,16.5 13.25,16 12,16C10.75,16 9.68,16.5 9.23,17.23L7.81,15.81C8.71,14.72 10.25,14 12,14Z" />
+ </svg>
+ </el-icon>
+ </el-tag>
+ </div>
+ <div v-else>
+ <el-progress class="opacitybg" :percentage="percentage" :stroke-width="15" :striped="percentage !== 100"
+ :striped-flow="percentage !== 100" :duration="duration" :status="percentage === 100 ? 'success' : ''"
+ type="circle" />
+ </div>
+ </el-col>
+ </el-row>
+ <el-row>
+ <el-col class="pa-2 text-align" :span="8" v-for="(item, index) in imgList" :index="index">
+ <div class="pa-2">{{ item.label }}</div>
+ <div>
+ <el-image style="height: calc(100vh - 420px)" :src="item.imgPath" :zoom-rate="1.2" :max-scale="7"
+ :min-scale="0.2" :preview-src-list="[item.imgPath]" :initial-index="4" fit="cover" close-on-press-escape />
+ </div>
+ </el-col>
+ </el-row>
+ </div>
+</template>
+
+<script>
+import { result } from "lodash";
+import imgPath from "./assets/config/imgconf.json";
+export default {
+ name: "app",
+ data() {
+ return {
+ result: "",
+ content: "",
+ percentage: 0,
+ isSend: false,
+ loading: false,
+ imgList: [],
+ sendmessage: null,
+ classZh: {
+ negative: "消极",
+ positive: "积极",
+ },
+ };
+ },
+ methods: {
+ async sendData() {
+ this.percentage = 0;
+ this.isSend = true;
+ this.loading = true;
+ this.result = "";
+ if (this.sendmessage) {
+ this.sendmessage.close()
+ }
+ this.sendmessage = this.$message({
+ showClose: true,
+ repeatNum: 1,
+ duration: 0,
+ message: "王一鸣202207100038",
+ type: 'success',
+ });
+ let data = {
+ content: [this.content],
+ };
+ let res = await this.$axios.post("/api/content", data);
+ if (res.status === 200) {
+ this.isSend = false;
+ }
+ },
+ },
+ async mounted() {
+ this.imgList = imgPath;
+ for (let index = 0; index < this.imgList.length; index++) {
+ let element = this.imgList[index];
+ element.imgPath = new URL(element.path, import.meta.url).href;
+ }
+ },
+ watch: {
+ async isSend(nev, olv) {
+ let total = 96;
+ if (nev) {
+ while (this.percentage < total) {
+ if (this.percentage < total) {
+ let random = Math.floor(Math.random() * 2);
+ this.percentage += random;
+ }
+ await new Promise((resolve) => setTimeout(resolve, 50));
+ }
+ if (this.percentage > total - 1) {
+ while (!this.result) {
+ let res = await this.$axios.get("/api/model_res");
+ this.percentage = 100;
+ this.result = res.data
+ await new Promise((resolve) => setTimeout(resolve, 1000));
+ }
+ }
+ } else {
+ }
+ },
+ result(nev, olv) {
+ this.loading = !nev;
+ },
+ },
+ computed: {
+ duration() {
+ return Math.floor(this.percentage / 10);
+ },
+ },
+};
+</script>
+
+<style scoped>
+.bgimg {
+ height: 100vh;
+ width: 100vw;
+ color: #fff;
+ background-image: url("@/assets/imgs/otherimgs/bg.jpg");
+}
+
+.sendButton {
+ align-content: center;
+}
+
+.text-align {
+ text-align: center;
+}
+
+.pa-2 {
+ padding: 4px;
+}
+
+.tagClass {
+ height: 1.6em;
+ font-size: 3em;
+}
+
+
+.opacitybg {
+ opacity: 0.6;
+}
+</style>
diff --git a/front/src/assets/config/imgconf.json b/front/src/assets/config/imgconf.json
new file mode 100644
index 0000000..367f4de
--- /dev/null
+++ b/front/src/assets/config/imgconf.json
@@ -0,0 +1,6 @@
+[
+ {
+ "label": "f1-score",
+ "path": "assets/imgs/bilstm/1.png"
+ }
+]
\ No newline at end of file
diff --git a/front/src/assets/imgs/bilstm/1.png b/front/src/assets/imgs/bilstm/1.png
new file mode 100644
index 0000000..5768d2b
Binary files /dev/null and b/front/src/assets/imgs/bilstm/1.png differ
diff --git a/front/src/assets/imgs/otherimgs/bg.jpg b/front/src/assets/imgs/otherimgs/bg.jpg
new file mode 100644
index 0000000..800d54e
Binary files /dev/null and b/front/src/assets/imgs/otherimgs/bg.jpg differ
diff --git a/front/src/assets/vue.svg b/front/src/assets/vue.svg
new file mode 100644
index 0000000..1c2e249
--- /dev/null
+++ b/front/src/assets/vue.svg
@@ -0,0 +1,1157 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
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+</svg>
diff --git a/front/src/main.js b/front/src/main.js
new file mode 100644
index 0000000..76b0267
--- /dev/null
+++ b/front/src/main.js
@@ -0,0 +1,13 @@
+// main.ts
+import { createApp } from 'vue'
+import ElementPlus from 'element-plus'
+import 'element-plus/dist/index.css'
+import App from './App.vue'
+import './style.css'
+import _ from 'lodash'
+import axios from "axios"
+const app = createApp(App)
+app.config.globalProperties.$_ = _
+app.config.globalProperties.$axios = axios
+app.use(ElementPlus)
+app.mount('#app')
\ No newline at end of file
diff --git a/front/src/style.css b/front/src/style.css
new file mode 100644
index 0000000..4dc4eeb
--- /dev/null
+++ b/front/src/style.css
@@ -0,0 +1,5 @@
+html,
+body {
+ margin: 0;
+ padding: 0;
+}
diff --git a/front/vite.config.js b/front/vite.config.js
new file mode 100644
index 0000000..16a95c3
--- /dev/null
+++ b/front/vite.config.js
@@ -0,0 +1,24 @@
+// vite.config.ts
+import { defineConfig } from 'vite'
+import vue from '@vitejs/plugin-vue'
+import { resolve } from 'path';
+
+// https://vitejs.dev/config/
+export default defineConfig({
+ plugins: [vue()],
+ server: {
+ proxy: {
+ '/api': {
+ target: 'http://127.0.0.1:8006/api',
+ changeOrigin: true,
+ rewrite: (path) => path.replace(/^\/api/, '')
+ }
+ }
+ },
+ resolve: {
+ alias: {
+ // @ 替代为 src
+ '@': resolve(__dirname, 'src'),
+ },
+ },
+})
diff --git a/front/vite600.zip b/front/vite600.zip
new file mode 100644
index 0000000..789d2c8
Binary files /dev/null and b/front/vite600.zip differ
diff --git a/front/项目说明文档.txt b/front/项目说明文档.txt
new file mode 100644
index 0000000..a90b4ba
--- /dev/null
+++ b/front/项目说明文档.txt
@@ -0,0 +1,19 @@
+项目启用：
+ 后端启用：
+ 使用pycharm打开项目文件夹，打开app.py(需要将缺失的包安装：例如flask、numpy等)，在app.py中运行即可
+ 前端启用：
+ 使用vscode打开前端项目文件夹，在确保有node环境(百度搜索node，下载并安装18.20.0版本)后在终端（ctrl+shift+`）输入npm run dev，即可启用前端项目，如果缺失运行包的情况下，需要先npm install安装项目运行包。
+项目前端开发流程：
+ 1.安装node18.20.0版本，安装VScode最新版本，
+ 2.打算使用vite(打包工具)+vue(前端框架)进行开发
+ 3.在vscode终端中输入npm init vite@latest my-vue-app -- --template vue 搭建vue项目框架，
+ 4.cd my-vue-app进入项目中,npm install安装项目运行包。
+ 5.在终端输入npm run dev，即可启动项目，
+ 6.使用axios进行请求，与后端进行数据交互。
+ 7.使用element-plus进行前端页面开发。
+ 8.使用lodash进行数据处理。加快开发。
+ 9.开发的页面均在app.vue文件中。
+前端页面开发的思想：
+ 1.需要一个输入框和按钮发送请求（在发送后未出结果前，按钮不能再次点击，防止请求次数过多，造成资源浪费），以及后端数据处理过程中，页面上需要给出提示，及时反馈给用户
+ 2.需要需要把训练的bilstm模型的参数放到页面上，便于用户查看，便于用户理解
+ 3.在后端数据处理完以后，请求处理后的数据，在页面上显示出来
diff --git a/img0002.jpg b/img0002.jpg
new file mode 100644
index 0000000..d669dba
Binary files /dev/null and b/img0002.jpg differ
diff --git a/inference.py b/inference.py
new file mode 100644
index 0000000..7a9cfb6
--- /dev/null
+++ b/inference.py
@@ -0,0 +1,81 @@
+import cv2
+import torch
+import numpy as np
+from PIL import Image
+from ultralytics import YOLO
+
+
+# 3个输入参数
+img_path = 'img0002.jpg'
+iou = 0.1
+conf = 0.25
+
+def split_image(img_path, size=(800, 800)):
+ img = cv2.imread(img_path)
+ height, width = img.shape[:2]
+ rows = (height + size[1] - 1) // size[1]
+ cols = (width + size[0] - 1) // size[0]
+ img_list = []
+ indexes = []
+ for r in range(rows):
+ for c in range(cols):
+ y1 = r * size[1]
+ y2 = min((r + 1) * size[1], height)
+ x1 = c * size[0]
+ x2 = min((c + 1) * size[0], width)
+ split = img[y1:y2, x1:x2]
+ img_list.append(split)
+ indexes.append((r, c))
+ return img_list, indexes, (height, width)
+
+
+def combine_images(pred_imgs, indexes, size=(800, 800), img_shape=(3000, 4000)):
+ combined_img = np.zeros((img_shape[0], img_shape[1], 3), dtype=np.uint8)
+ for idx, (r, c) in enumerate(indexes):
+ y1 = r * size[1]
+ y2 = min((r + 1) * size[1], img_shape[0])
+ x1 = c * size[0]
+ x2 = min((c + 1) * size[0], img_shape[1])
+ combined_img[y1:y2, x1:x2] = pred_imgs[idx][:y2 - y1, :x2 - x1]
+ return combined_img
+
+follicle_groups_detector = YOLO('follicle_groups.pt')
+follicles_detector = YOLO('follicles.pt')
+
+results = follicle_groups_detector(img_path, iou=iou, conf=conf)
+for r in results:
+ num_follicle_groups = len(r.boxes)
+ im_array = r.plot()
+ im = Image.fromarray(im_array[..., ::-1])
+ im.save('results_1.jpg') #输出结果图1
+
+img_list, indexes, (height, width) = split_image(img_path)
+print(f"Number of image blocks: {len(img_list)}")
+num_small_follicles = 0
+num_big_follicles = 0
+pred_imgs = []
+for img in img_list:
+ results = follicles_detector(img, iou=iou, conf=conf)
+ for r in results:
+ num_small_follicles += torch.sum(r.boxes.cls == 0).item()
+ num_big_follicles += torch.sum(r.boxes.cls == 1).item()
+ im_array = r.plot()
+ pred_imgs.append(im_array)
+
+# 输出的3个结果文本
+print('毛囊群数量：', num_follicle_groups)
+print('大毛囊数量：', num_big_follicles)
+print('小毛囊数量：', num_small_follicles)
+
+combined_img = combine_images(pred_imgs, indexes, size=(800, 800), img_shape=(height, width))
+combined_image_pil = Image.fromarray(combined_img[..., ::-1])
+combined_image_pil.save('results_2.jpg') #输出结果图2
+
+
+
+
+
+
+
+
+
diff --git a/results_1.jpg b/results_1.jpg
new file mode 100644
index 0000000..1350b09
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diff --git a/results_2.jpg b/results_2.jpg
new file mode 100644
index 0000000..9c88351
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diff --git a/网页.pptx b/网页.pptx
new file mode 100644
index 0000000..5d238da
Binary files /dev/null and b/网页.pptx differ