├── ImageEnhance.py ├── README.md ├── app.py ├── createImage.py ├── data.py ├── model.h5 ├── model.png ├── models.py ├── settings.py ├── spider.py ├── static ├── assembly │ ├── jqarticle │ │ └── jparticle.min.js │ └── zylVerificationCode │ │ └── zylVerificationCode.js ├── css │ ├── bootstrap.css │ ├── font.css │ ├── main.css │ ├── reset.css │ ├── style.css │ ├── swiper-bundle.min.css │ └── xadmin.css ├── images │ ├── bg.gif │ ├── p1.jpg │ ├── p2.jpg │ ├── p3.jpg │ ├── p4.jpg │ ├── p5.jpg │ ├── s1.jpg │ ├── s2.jpg │ ├── s3.jpg │ └── s4.jpg ├── js │ ├── jquery.min.js │ ├── main.js │ ├── nav.js │ ├── swiper-bundle.min.js │ ├── tool.js │ └── xadmin.js └── lib │ ├── layui │ ├── css │ │ ├── layui.css │ │ ├── layui.mobile.css │ │ ├── login.css │ │ └── modules │ │ │ ├── code.css │ │ │ ├── laydate │ │ │ └── default │ │ │ │ └── laydate.css │ │ │ └── layer │ │ │ └── default │ │ │ ├── icon-ext.png │ │ │ ├── icon.png │ │ │ ├── layer.css │ │ │ ├── loading-0.gif │ │ │ ├── loading-1 2.gif │ │ │ ├── loading-1.gif │ │ │ ├── loading-2 2.gif │ │ │ └── loading-2.gif │ ├── font │ │ ├── iconfont.eot │ │ ├── iconfont.svg │ │ ├── iconfont.ttf │ │ └── iconfont.woff │ ├── images │ │ └── face │ │ │ ├── 0.gif │ │ │ ├── 1.gif │ │ │ ├── 10.gif │ │ │ ├── 11.gif │ │ │ ├── 12.gif │ │ │ ├── 13.gif │ │ │ ├── 14.gif │ │ │ ├── 15.gif │ │ │ ├── 16.gif │ │ │ ├── 17.gif │ │ │ ├── 18.gif │ │ │ ├── 19.gif │ │ │ ├── 2.gif │ │ │ ├── 20.gif │ │ │ ├── 21.gif │ │ │ ├── 22.gif │ │ │ ├── 23.gif │ │ │ ├── 24.gif │ │ │ ├── 25.gif │ │ │ ├── 26.gif │ │ │ ├── 27.gif │ │ │ ├── 28.gif │ │ │ ├── 29.gif │ │ │ ├── 3.gif │ │ │ ├── 30.gif │ │ │ ├── 31.gif │ │ │ ├── 32.gif │ │ │ ├── 33.gif │ │ │ ├── 34.gif │ │ │ ├── 35.gif │ │ │ ├── 36.gif │ │ │ ├── 37.gif │ │ │ ├── 38.gif │ │ │ ├── 39.gif │ │ │ ├── 4.gif │ │ │ ├── 40.gif │ │ │ ├── 41.gif │ │ │ ├── 42.gif │ │ │ ├── 43.gif │ │ │ ├── 44.gif │ │ │ ├── 45.gif │ │ │ ├── 46.gif │ │ │ ├── 47.gif │ │ │ ├── 48.gif │ │ │ ├── 49.gif │ │ │ ├── 5.gif │ │ │ ├── 50.gif │ │ │ ├── 51.gif │ │ │ ├── 52.gif │ │ │ ├── 53.gif │ │ │ ├── 54.gif │ │ │ ├── 55.gif │ │ │ ├── 56.gif │ │ │ ├── 57.gif │ │ │ ├── 58.gif │ │ │ ├── 59.gif │ │ │ ├── 6.gif │ │ │ ├── 60.gif │ │ │ ├── 61.gif │ │ │ ├── 62.gif │ │ │ ├── 63.gif │ │ │ ├── 64.gif │ │ │ ├── 65.gif │ │ │ ├── 66.gif │ │ │ ├── 67.gif │ │ │ ├── 68.gif │ │ │ ├── 69.gif │ │ │ ├── 7.gif │ │ │ ├── 70.gif │ │ │ ├── 71.gif │ │ │ ├── 8.gif │ │ │ └── 9.gif │ ├── lay │ │ └── modules │ │ │ ├── carousel.js │ │ │ ├── code.js │ │ │ ├── element.js │ │ │ ├── flow.js │ │ │ ├── form.js │ │ │ ├── jquery.js │ │ │ ├── laydate.js │ │ │ ├── layedit.js │ │ │ ├── layer.js │ │ │ ├── laypage.js │ │ │ ├── laytpl.js │ │ │ ├── mobile.js │ │ │ ├── table.js │ │ │ ├── tree.js │ │ │ ├── upload.js │ │ │ └── util.js │ ├── layui.all.js │ └── layui.js │ └── layuiadmin │ ├── config.js │ ├── json │ ├── console │ │ ├── prograss.js │ │ ├── top-card.js │ │ └── top-search.js │ ├── content │ │ ├── comment.js │ │ ├── list.js │ │ └── tags.js │ ├── forum │ │ ├── list.js │ │ └── replys.js │ ├── layer │ │ └── photos.js │ ├── layim │ │ ├── getList.js │ │ └── getMembers.js │ ├── mall │ │ └── order.js │ ├── menu.js │ ├── message │ │ ├── all.js │ │ ├── detail.js │ │ ├── direct.js │ │ ├── new.js │ │ └── notice.js │ ├── table │ │ ├── demo.js │ │ ├── demo2.js │ │ ├── demo3.js │ │ ├── user.js │ │ └── user30.js │ ├── upload │ │ └── demo.js │ ├── user │ │ ├── forget.js │ │ ├── login.js │ │ ├── logout.js │ │ ├── reg.js │ │ ├── resetpass.js │ │ ├── session.js │ │ └── sms.js │ ├── useradmin │ │ ├── mangadmin.js │ │ ├── role.js │ │ └── webuser.js │ ├── workorder │ │ └── demo.js │ └── 说明.txt │ ├── lib │ ├── admin.js │ ├── extend │ │ ├── echarts.js │ │ └── echartsTheme.js │ ├── index.js │ ├── layui │ │ ├── css │ │ │ ├── layui.css │ │ │ ├── layui.mobile 2.css │ │ │ ├── layui.mobile.css │ │ │ ├── layui_old.css │ │ │ └── modules │ │ │ │ ├── code 2.css │ │ │ │ ├── code.css │ │ │ │ ├── laydate │ │ │ │ └── default │ │ │ │ │ ├── laydate 2.css │ │ │ │ │ └── laydate.css │ │ │ │ └── layer │ │ │ │ └── default │ │ │ │ ├── icon 2.png │ │ │ │ ├── icon-ext 2.png │ │ │ │ ├── icon-ext.png │ │ │ │ ├── icon.png │ │ │ │ ├── layer 2.css │ │ │ │ ├── layer.css │ │ │ │ ├── loading-0 2.gif │ │ │ │ ├── loading-0.gif │ │ │ │ ├── loading-1 2.gif │ │ │ │ ├── loading-1.gif │ │ │ │ ├── loading-2 2.gif │ │ │ │ └── loading-2.gif │ │ ├── font │ │ │ ├── iconfont.eot │ │ │ ├── iconfont.svg │ │ │ ├── iconfont.ttf │ │ │ └── iconfont.woff │ │ ├── lay │ │ │ └── modules │ │ │ │ ├── carousel 2.js │ │ │ │ ├── carousel.js │ │ │ │ ├── code 2.js │ │ │ │ ├── code.js │ │ │ │ ├── element 2.js │ │ │ │ ├── element.js │ │ │ │ ├── flow 2.js │ │ │ │ ├── flow.js │ │ │ │ ├── form 2.js │ │ │ │ ├── form.js │ │ │ │ ├── jquery 2.js │ │ │ │ ├── jquery.js │ │ │ │ ├── laydate 2.js │ │ │ │ ├── laydate.js │ │ │ │ ├── layedit 2.js │ │ │ │ ├── layedit.js │ │ │ │ ├── layer 2.js │ │ │ │ ├── layer.js │ │ │ │ ├── laypage 2.js │ │ │ │ ├── laypage.js │ │ │ │ ├── laytpl 2.js │ │ │ │ ├── laytpl.js │ │ │ │ ├── mobile 2.js │ │ │ │ ├── mobile.js │ │ │ │ ├── table 2.js │ │ │ │ ├── table.js │ │ │ │ ├── tree 2.js │ │ │ │ ├── tree.js │ │ │ │ ├── upload 2.js │ │ │ │ ├── upload.js │ │ │ │ ├── util 2.js │ │ │ │ └── util.js │ │ ├── layui.all.js │ │ └── layui.js │ └── view.js │ ├── modules │ ├── common.js │ ├── console.js │ ├── contlist.js │ ├── forum.js │ ├── im.js │ ├── message.js │ ├── sample.js │ ├── senior.js │ ├── set.js │ ├── user.js │ ├── useradmin.js │ └── workorder.js │ ├── style │ ├── admin.css │ ├── login.css │ ├── res │ │ ├── bg-none.jpg │ │ ├── layui-logo.jpg │ │ ├── logo-black.png │ │ ├── logo.png │ │ └── template │ │ │ ├── character.jpg │ │ │ ├── huge 2.jpg │ │ │ ├── huge.jpg │ │ │ └── portrait.png │ └── template.css │ └── tpl │ ├── layim │ └── demo.html │ ├── system │ ├── about.html │ ├── get.html │ ├── more.html │ ├── theme.html │ └── 说明.txt │ └── 说明.txt ├── templates ├── dict.html ├── favicon.ico ├── index.html └── vue.js └── train.py /ImageEnhance.py: -------------------------------------------------------------------------------- 1 | from createImage import createImage 2 | 3 | imageDir = "photos/01" #要改变的图片的路径文件夹 4 | saveDir = "photos/01" #数据增强生成图片的路径文件夹 5 | createImage(imageDir,saveDir) 6 | 7 | imageDir = "photos/02" #要改变的图片的路径文件夹 8 | saveDir = "photos/02" #数据增强生成图片的路径文件夹 9 | createImage(imageDir,saveDir) 10 | 11 | imageDir = "photos/03" #要改变的图片的路径文件夹 12 | saveDir = "photos/03" #数据增强生成图片的路径文件夹 13 | createImage(imageDir,saveDir) 14 | 15 | imageDir = "photos/04" #要改变的图片的路径文件夹 16 | saveDir = "photos/04" #数据增强生成图片的路径文件夹 17 | createImage(imageDir,saveDir) -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 水果分类 fruit-classifer 2 | 3 | 基于深度学习的水果分类 4 | 5 | 本项目使用迁移学习技术，对在ImageNet数据集上带有预训练权重VGG16、ResNet50、MobileNetV2、DenseNet121模型进行微调，然后将其用在水果数据集上。最终训练后的模型能够准确对输入图片进行分类，并且最高准确率达到93.08%。 6 | 7 | #### 一、数据集制作 8 | 9 | ##### 1.1爬虫获取数据 10 | 11 | ```python 12 | FRUIT_CLASS = { 13 | '苹果': '01', 14 | '香蕉': '02', 15 | '桃子': '03', 16 | '葡萄': '04' 17 | } 18 | #spider.py实现本功能 19 | ``` 20 | 21 | ##### 1.2手动删除不相关图片 22 | 23 | ##### 1.3数据增强扩充数据集 24 | 25 | ```python 26 | def Brightness(root_path, img_name): #亮度增强 27 | def Contrast(root_path, img_name): #对比度增强 28 | def crop(root_path, img_name): #随机裁剪 29 | def flip(root_path, img_name): #左右翻转 30 | def rotation(root_path, img_name): #随机旋转 31 | #createImage.py ImageEnhance.py实现本功能 32 | ``` 33 | 34 | #### 二、模型训练 35 | 36 | ##### 2.1迁移学习 37 | 38 | ```python 39 | # 模型加载，指定图片处理的大小和是否进行迁移学习 40 | def my_densenet(): 41 | IMG_SHAPE = (224, 224, 3) 42 | # 选择base model 43 | base_model = tf.keras.applications.MobileNetV2(include_top=False, weights='imagenet', input_shape=IMG_SHAPE) 44 | 45 | base_model.trainable = False 46 | model = tf.keras.models.Sequential([ 47 | # 输入层，shape为(None,224,224,3) 48 | tf.keras.layers.Input((224, 224, 3)), 49 | # 输入到base_model中 50 | base_model, 51 | # 将base_model的输出展平，以作为全连接层的输入 52 | tf.keras.layers.Flatten(), 53 | # BN层 54 | tf.keras.layers.BatchNormalization(), 55 | # 输出层，为了保证输出结果的稳定，这里就不添加Dropout层了 56 | tf.keras.layers.Dense(settings.CLASS_NUM, activation=tf.nn.softmax) 57 | ]) 58 | return model 59 | #models.py实现本功能 60 | ``` 61 | 62 | ##### 2.2模型训练 63 | 64 | ```python 65 | # settings.py 参数设置 66 | # data.py 数据预处理 67 | # train.py 训练模型 68 | ``` 69 | 70 | #### 三、系统实现 71 | 72 | 设计并实现前后端分离系统，前端Vue，后端Flask 73 | 74 | 后端模型对输入图片识别并返回用户 75 | 76 | 运行app.py在本地计算机使用系统，地址为http://192.168.1.29:5000/ 77 | 78 | -------------------------------------------------------------------------------- /app.py: -------------------------------------------------------------------------------- 1 | import tensorflow as tf 2 | from flask import Flask 3 | from flask import jsonify 4 | from flask import request, render_template 5 | 6 | import settings 7 | from models import my_densenet 8 | 9 | app = Flask(__name__) 10 | 11 | # 导入模型 12 | model = my_densenet() 13 | # 加载训练好的参数 14 | model.load_weights(settings.MODEL_PATH) 15 | 16 | 17 | @app.route('/', methods=['GET']) 18 | def index(): 19 | """ 20 | 首页,vue入口 21 | """ 22 | return render_template('index.html') 23 | 24 | 25 | @app.route('/index.html', methods=['GET']) 26 | def index2(): 27 | """ 28 | 首页,vue入口 29 | """ 30 | return render_template('index.html') 31 | 32 | 33 | @app.route('/dict.html', methods=['GET']) 34 | def get_dict(): 35 | """ 36 | 百科 37 | """ 38 | return render_template('dict.html') 39 | 40 | 41 | @app.route('/api/v1/pets_classify/', methods=['POST']) 42 | def pets_classify(): 43 | """ 44 | 宠物图片分类接口，上传一张图片，返回此图片上的宠物是那种类别，概率多少 45 | """ 46 | # 获取用户上传的图片 47 | img_str = request.files.get('file').read() 48 | # 进行数据预处理 49 | x = tf.image.decode_image(img_str, channels=3) 50 | x = tf.image.resize(x, (224, 224)) 51 | x = x / 255. 52 | x = (x - tf.constant(settings.IMAGE_MEAN)) / tf.constant(settings.IMAGE_STD) 53 | x = tf.reshape(x, (1, 224, 224, 3)) 54 | # 预测 55 | y_pred = model(x) 56 | pet_cls_code = tf.argmax(y_pred, axis=1).numpy()[0] 57 | pet_cls_prob = float(y_pred.numpy()[0][pet_cls_code]) 58 | pet_cls_prob = '{}%'.format(int(pet_cls_prob * 100)) 59 | pet_class = settings.CODE_CLASS_MAP.get(pet_cls_code) 60 | # 将预测结果组织成json 61 | res = { 62 | 'code': 0, 63 | 'data': { 64 | 'pet_cls': pet_class, 65 | 'probability': pet_cls_prob, 66 | 'msg': '
{}

概率{}' 69 | .format(pet_class, pet_cls_prob), 70 | } 71 | } 72 | # 返回json数据 73 | return jsonify(res) 74 | 75 | 76 | if __name__ == '__main__': 77 | app.run(use_reloader=False, host='0.0.0.0', port=settings.WEB_PORT, debug=Flask) 78 | 79 | -------------------------------------------------------------------------------- /createImage.py: -------------------------------------------------------------------------------- 1 | from PIL import ImageEnhance 2 | import os 3 | import numpy as np 4 | from PIL import Image 5 | 6 | 7 | def Brightness(root_path, img_name): #亮度增强 8 | image = Image.open(os.path.join(root_path, img_name)) 9 | enh_bri = ImageEnhance.Brightness(image) 10 | brightness = 1.5 11 | image_brightened = enh_bri.enhance(brightness) 12 | return image_brightened 13 | 14 | 15 | def Contrast(root_path, img_name): #对比度增强 16 | image = Image.open(os.path.join(root_path, img_name)) 17 | enh_con = ImageEnhance.Contrast(image) 18 | contrast = 1.5 19 | image_contrasted = enh_con.enhance(contrast) 20 | return image_contrasted 21 | 22 | 23 | def crop(root_path, img_name): #随机裁剪 24 | img = Image.open(os.path.join(root_path, img_name)) 25 | crop_img = img.crop((100, 100, 250, 250)) 26 | return crop_img 27 | 28 | 29 | def flip(root_path, img_name): #左右翻转 30 | img = Image.open(os.path.join(root_path, img_name)) 31 | filp_img = img.transpose(Image.FLIP_LEFT_RIGHT) 32 | return filp_img 33 | 34 | 35 | def rotation(root_path, img_name): #随机旋转 36 | img = Image.open(os.path.join(root_path, img_name)) 37 | random_angle = np.random.randint(-2, 2) * 90 38 | if random_angle == 0: 39 | rotation_img = img.rotate(-90) 40 | else: 41 | rotation_img = img.rotate(random_angle) 42 | return rotation_img 43 | 44 | 45 | 46 | def createImage(imageDir, saveDir): 47 | for name in sorted(os.listdir(imageDir)): 48 | print(name) 49 | saveName1 = "bright" + name + ".jpg" 50 | saveImage1 = Brightness(imageDir, name) 51 | saveImage1.save(os.path.join(saveDir, saveName1)) 52 | 53 | saveName2 = "contrast" + name + ".jpg" 54 | saveImage2 = Contrast(imageDir, name) 55 | saveImage2.save(os.path.join(saveDir, saveName2)) 56 | 57 | saveName3 = "crop" + name + ".jpg" 58 | saveImage3 = crop(imageDir, name) 59 | saveImage3.save(os.path.join(saveDir, saveName3)) 60 | 61 | saveName4 = "flip" + name + ".jpg" 62 | saveImage4 = flip(imageDir, name) 63 | saveImage4.save(os.path.join(saveDir, saveName4)) 64 | 65 | saveName5 = "rotate" + name + ".jpg" 66 | saveImage5 = rotation(imageDir, name) 67 | saveImage5.save(os.path.join(saveDir, saveName5)) 68 | -------------------------------------------------------------------------------- /data.py: -------------------------------------------------------------------------------- 1 | import os 2 | import random 3 | import tensorflow as tf 4 | import settings 5 | 6 | # 每个类别选取的图片数量 7 | samples_per_class = settings.SAMPLES_PER_CLASS 8 | # 图片根目录 9 | images_root = settings.IMAGES_ROOT 10 | # 类别->编码的映射 11 | class_code_map = settings.CLASS_CODE_MAP 12 | 13 | # 我们准备使用经典网络在imagenet数据集上的与训练权重，所以归一化时也要使用imagenet的平均值和标准差 14 | image_mean = tf.constant(settings.IMAGE_MEAN) 15 | image_std = tf.constant(settings.IMAGE_STD) 16 | 17 | 18 | def normalization(x): 19 | """ 20 | 对输入图片x进行归一化，返回归一化的值 21 | """ 22 | return (x - image_mean) / image_std 23 | 24 | 25 | def train_preprocess(x, y): 26 | """ 27 | 对训练数据进行预处理。 28 | 注意，这里的参数x是图片的路径，不是图片本身；y是图片的标签值 29 | """ 30 | # 读取图片 31 | x = tf.io.read_file(x) 32 | # 解码成张量 33 | x = tf.image.decode_jpeg(x, channels=3) 34 | # 将图片缩放到[244,244]，比输入[224,224]稍大一些，方便后面数据增强 35 | x = tf.image.resize(x, [244, 244]) 36 | # 随机决定是否左右镜像 37 | if random.choice([0, 1]): 38 | x = tf.image.random_flip_left_right(x) 39 | # 随机从x中剪裁出(224,224,3)大小的图片 40 | x = tf.image.random_crop(x, [224, 224, 3]) 41 | # 读完上面的代码可以发现，这里的数据增强并不增加图片数量，一张图片经过变换后， 42 | # 仍然只是一张图片，跟我们前面说的增加图片数量的逻辑不太一样。 43 | # 这么做主要是应对我们的数据集里可能会存在相同图片的情况。 44 | 45 | # 将图片的像素值缩放到[0,1]之间 46 | x = tf.cast(x, dtype=tf.float32) / 255. 47 | # 归一化 48 | x = normalization(x) 49 | 50 | # 将标签转成one-hot形式 51 | y = tf.cast(y, dtype=tf.int32) 52 | y = tf.one_hot(y, settings.CLASS_NUM) 53 | 54 | return x, y 55 | 56 | 57 | def dev_preprocess(x, y): 58 | """ 59 | 对验证集和测试集进行数据预处理的方法。 60 | 和train_preprocess的主要区别在于，不进行数据增强，以保证验证结果的稳定性。 61 | """ 62 | # 读取并缩放图片 63 | x = tf.io.read_file(x) 64 | x = tf.image.decode_jpeg(x, channels=3) 65 | x = tf.image.resize(x, [224, 224]) 66 | # 归一化 67 | x = tf.cast(x, dtype=tf.float32) / 255. 68 | x = normalization(x) 69 | # 将标签转成one-hot形式 70 | y = tf.cast(y, dtype=tf.int32) 71 | y = tf.one_hot(y, settings.CLASS_NUM) 72 | 73 | return x, y 74 | 75 | 76 | # (图片路径,标签)的列表 77 | image_path_and_labels = [] 78 | # 排序，保证每次拿到的顺序都一样 79 | sub_images_dir_list = sorted(list(os.listdir(images_root))) 80 | # 遍历每一个子目录 81 | for sub_images_dir in sub_images_dir_list: 82 | sub_path = os.path.join(images_root, sub_images_dir) 83 | # 如果给定路径是文件夹,并且这个类别参与训练 84 | if os.path.isdir(sub_path) and sub_images_dir in settings.CLASSES: 85 | # 获取当前类别的编码 86 | current_label = class_code_map.get(sub_images_dir) 87 | # 获取子目录下的全部图片名称 88 | images = sorted(list(os.listdir(sub_path))) 89 | # 随机打乱(排序和置随机数种子都是为了保证每次的结果都一样) 90 | random.seed(settings.RANDOM_SEED) 91 | random.shuffle(images) 92 | # 保留前settings.SAMPLES_PER_CLASS个 93 | images = images[:samples_per_class] 94 | # 构建(x,y)对 95 | for image_name in images: 96 | abs_image_path = os.path.join(sub_path, image_name) 97 | image_path_and_labels.append((abs_image_path, current_label)) 98 | # 计算各数据集样例数 99 | total_samples = len(image_path_and_labels) # 总样例数 100 | train_samples = int(total_samples * settings.TRAIN_DATASET) # 训练集样例数 101 | dev_samples = int(total_samples * settings.DEV_DATASET) # 开发集样例数 102 | test_samples = total_samples - train_samples - dev_samples # 测试集样例数 103 | # 打乱数据集 104 | random.seed(settings.RANDOM_SEED) 105 | random.shuffle(image_path_and_labels) 106 | # 将图片数据和标签数据分开，此时它们仍是一一对应的 107 | x_data = tf.constant([img for img, label in image_path_and_labels]) 108 | y_data = tf.constant([label for img, label in image_path_and_labels]) 109 | # 开始划分数据集 110 | # 训练集 111 | train_db = tf.data.Dataset.from_tensor_slices((x_data[:train_samples], y_data[:train_samples])) 112 | # 打乱顺序，数据预处理，设置批大小 113 | train_db = train_db.shuffle(10000).map(train_preprocess).batch(settings.BATCH_SIZE) 114 | # 开发集(验证集) 115 | dev_db = tf.data.Dataset.from_tensor_slices( 116 | (x_data[train_samples:train_samples + dev_samples], y_data[train_samples:train_samples + dev_samples])) 117 | # 数据预处理，设置批大小 118 | dev_db = dev_db.map(dev_preprocess).batch(settings.BATCH_SIZE) 119 | # 测试集 120 | test_db = tf.data.Dataset.from_tensor_slices( 121 | (x_data[train_samples + dev_samples:], y_data[train_samples + dev_samples:])) 122 | # 数据预处理，设置批大小 123 | test_db = test_db.map(dev_preprocess).batch(settings.BATCH_SIZE) 124 | 125 | print('总样例数:',total_samples) 126 | print('训练集样例数:',train_samples) 127 | print('开发集样例数:',dev_samples) 128 | print('测试集样例数:',test_samples) 129 | -------------------------------------------------------------------------------- /model.h5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jiamin329/fruit-classifer/ab62141fa78fdebcdcd8a7439349cbfaad88553f/model.h5 -------------------------------------------------------------------------------- /model.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jiamin329/fruit-classifer/ab62141fa78fdebcdcd8a7439349cbfaad88553f/model.png -------------------------------------------------------------------------------- /models.py: -------------------------------------------------------------------------------- 1 | import tensorflow as tf 2 | import matplotlib.pyplot as plt 3 | from tensorflow.python.keras.utils.vis_utils import plot_model 4 | import settings 5 | 6 | # 模型加载，指定图片处理的大小和是否进行迁移学习 7 | def my_densenet(): 8 | IMG_SHAPE = (224, 224, 3) 9 | # 选择base model 10 | # base_model = tf.keras.applications.VGG16(include_top=False, weights='imagenet', input_shape=IMG_SHAPE) 11 | # base_model = tf.keras.applications.ResNet50(include_top=False, weights='imagenet', input_shape=IMG_SHAPE) 12 | # base_model = tf.keras.applications.DenseNet121(include_top=False, weights='imagenet', pooling='max') 13 | base_model = tf.keras.applications.MobileNetV2(include_top=False, weights='imagenet', input_shape=IMG_SHAPE) 14 | 15 | base_model.trainable = False 16 | model = tf.keras.models.Sequential([ 17 | # 输入层，shape为(None,224,224,3) 18 | tf.keras.layers.Input((224, 224, 3)), 19 | # 输入到base_model中 20 | base_model, 21 | # 将base_model的输出展平，以作为全连接层的输入 22 | tf.keras.layers.Flatten(), 23 | # BN层 24 | tf.keras.layers.BatchNormalization(), 25 | # 输出层，为了保证输出结果的稳定，这里就不添加Dropout层了 26 | tf.keras.layers.Dense(settings.CLASS_NUM, activation=tf.nn.softmax) 27 | ]) 28 | # 输出模型结构 29 | plot_model(model, to_file='model.png', show_shapes=True, show_layer_names=False) 30 | return model 31 | 32 | 33 | 34 | # 展示训练过程的曲线 35 | def show_loss_acc(history): 36 | acc = history.history['accuracy'] 37 | val_acc = history.history['val_accuracy'] 38 | 39 | loss = history.history['loss'] 40 | val_loss = history.history['val_loss'] 41 | 42 | plt.figure(figsize=(8, 8)) 43 | plt.subplot(2, 1, 1) 44 | plt.plot(acc, label='Training Accuracy') 45 | plt.plot(val_acc, label='Validation Accuracy') 46 | plt.legend(loc='lower right') 47 | plt.ylabel('Accuracy') 48 | plt.ylim([min(plt.ylim()), 1]) 49 | plt.title('Training and Validation Accuracy') 50 | 51 | plt.subplot(2, 1, 2) 52 | plt.plot(loss, label='Training Loss') 53 | plt.plot(val_loss, label='Validation Loss') 54 | plt.legend(loc='upper right') 55 | plt.ylabel('Cross Entropy') 56 | plt.ylim([0, 1.0]) 57 | plt.title('Training and Validation Loss') 58 | plt.xlabel('epoch') 59 | plt.show() 60 | 61 | 62 | if __name__ == '__main__': 63 | model = my_densenet() 64 | model.summary() 65 | -------------------------------------------------------------------------------- /settings.py: -------------------------------------------------------------------------------- 1 | # 图片类别 2 | FRUIT_CLASS = { 3 | '苹果': '01', 4 | '香蕉': '02', 5 | '桃子': '03', 6 | '葡萄': '04' 7 | } 8 | 9 | # 图片保存根目录 10 | IMAGES_ROOT = 'photos' 11 | 12 | # 每个类别选取的图片数量 13 | SAMPLES_PER_CLASS = 400 14 | 15 | # 参与训练的类别 16 | CLASSES = ['01', '02', '03', '04'] 17 | 18 | # 参与训练的类别数量 19 | CLASS_NUM = len(CLASSES) 20 | 21 | # 类别->编号的映射 22 | CLASS_CODE_MAP = { 23 | '01': 0, 24 | '02': 1, 25 | '03': 2, 26 | '04': 3 27 | } 28 | 29 | # 编号->类别的映射 30 | CODE_CLASS_MAP = { 31 | 0: '苹果', 32 | 1: '香蕉', 33 | 2: '桃子', 34 | 3: '葡萄' 35 | } 36 | 37 | # 随机数种子 38 | RANDOM_SEED = 13 # 四个类别时样本较为均衡的随机数种子 39 | # RANDOM_SEED = 19 # 三个类别时样本较为均衡的随机数种子 40 | 41 | # 训练集比例 42 | TRAIN_DATASET = 0.6 43 | # 开发集比例 44 | DEV_DATASET = 0.2 45 | # 测试集比例 46 | TEST_DATASET = 0.2 47 | 48 | # mini_batch大小 49 | BATCH_SIZE = 16 50 | 51 | # imagenet数据集均值 52 | IMAGE_MEAN = [0.485, 0.456, 0.406] 53 | # imagenet数据集标准差 54 | IMAGE_STD = [0.299, 0.224, 0.225] 55 | 56 | # 学习率 57 | LEARNING_RATE = 0.001 58 | # 训练epoch数 59 | TRAIN_EPOCHS = 3 60 | # 保存训练模型的路径 61 | MODEL_PATH = 'model.h5' 62 | 63 | # Web服务端口 64 | WEB_PORT = 5000 -------------------------------------------------------------------------------- /spider.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import os 3 | import urllib 4 | import settings 5 | 6 | class Spider_baidu_image(): 7 | def __init__(self): 8 | self.url = 'http://image.baidu.com/search/acjson?' 9 | self.headers = { 10 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.\ 11 | 3497.81 Safari/537.36'} 12 | self.headers_image = { 13 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.\ 14 | 3497.81 Safari/537.36', 15 | 'Referer': 'http://image.baidu.com/search/index?tn=baiduimage&ipn=r&ct=201326592&cl=2&lm=-1&st=-1&fm=result&fr=&sf=1&fmq=1557124645631_R&pv=&ic=&nc=1&z=&hd=1&latest=0©right=0&se=1&showtab=0&fb=0&width=&height=&face=0&istype=2&ie=utf-8&sid=&word=%E8%83%A1%E6%AD%8C'} 16 | 17 | self.keyword = fruit_keyword 18 | print(self.keyword,fruit_keyword) 19 | # 下载图片页数 20 | self.paginator = 1 21 | 22 | def get_param(self): 23 | """ 24 | 获取url请求的参数，存入列表并返回 25 | :return: 26 | """ 27 | keyword = urllib.parse.quote(self.keyword) 28 | params = [] 29 | for i in range(1, self.paginator + 1): 30 | params.append( 31 | 'tn=resultjson_com&ipn=rj&ct=201326592&is=&fp=result&queryWord={}&cl=2&lm=-1&ie=utf-8&oe=utf-8&adpicid=&st=-1&z=&ic=&hd=1&latest=0©right=0&word={}&s=&se=&tab=&width=&height=&face=0&istype=2&qc=&nc=1&fr=&expermode=&force=&cg=star&pn={}&rn=30&gsm=78&1557125391211='.format( 32 | keyword, keyword, 30 * i)) 33 | return params 34 | 35 | def get_urls(self, params): 36 | """ 37 | 由url参数返回各个url拼接后的响应，存入列表并返回 38 | :return: 39 | """ 40 | urls = [] 41 | for i in params: 42 | urls.append(self.url + i) 43 | return urls 44 | 45 | def get_image_url(self, urls): 46 | image_url = [] 47 | for url in urls: 48 | json_data = requests.get(url, headers=self.headers).json() 49 | json_data = json_data.get('data') 50 | for i in json_data: 51 | if i: 52 | image_url.append(i.get('thumbURL')) 53 | return image_url 54 | 55 | def get_image(self, image_url): 56 | """ 57 | 根据图片url，在本地目录下新建一个以搜索关键字命名的文件夹，然后将每一个图片存入。 58 | :param image_url: 59 | :return: 60 | """ 61 | cwd = os.getcwd() 62 | file_name = os.path.join(cwd, self.keyword) 63 | if not os.path.exists(self.keyword): 64 | os.mkdir(file_name) 65 | for index, url in enumerate(image_url, start=1): 66 | with open(file_name + '\\{}.jpg'.format(index), 'wb') as f: 67 | f.write(requests.get(url, headers=self.headers_image).content) 68 | if index != 0 and index % 30 == 0: 69 | print('{}第{}页下载完成'.format(self.keyword, index / 30)) 70 | 71 | def __call__(self, *args, **kwargs): 72 | params = self.get_param() 73 | urls = self.get_urls(params) 74 | image_url = self.get_image_url(urls) 75 | self.get_image(image_url) 76 | 77 | 78 | 79 | if __name__ == '__main__': 80 | for fruit_keyword in settings.FRUIT_CLASS.keys(): 81 | fruit_keyword = Spider_baidu_image() 82 | fruit_keyword() 83 | -------------------------------------------------------------------------------- /static/assembly/zylVerificationCode/zylVerificationCode.js: -------------------------------------------------------------------------------- 1 | $(function(){ 2 | zylVerCode();//初始化生成随机数 3 | }); 4 | 5 | 6 | //生成随机数 7 | function zylVerCode(len){ 8 | len = len || 4; 9 | var $chars = 'ABCDEFGHJKMNPQRSTWXYZabcdefhijkmnprstwxyz2345678';//默认去掉了容易混淆的字符oOLl,9gq,Vv,Uu,I1 10 | var maxPos = $chars.length; 11 | var zylCode = ''; 12 | for (i = 0; i < len; i++) { 13 | zylCode += $chars.charAt(Math.floor(Math.random() * maxPos)); 14 | } 15 | $(".zylVerCode").html(zylCode); 16 | } -------------------------------------------------------------------------------- /static/css/font.css: -------------------------------------------------------------------------------- 1 | @font-face { 2 | font-family: 'iconfont'; 3 | src: url('../fonts/iconfont.eot'); 4 | src: url('../fonts/iconfont.eot?#iefix') format('embedded-opentype'), 5 | url('../fonts/iconfont.woff') format('woff'), 6 | url('../fonts/iconfont.ttf') format('truetype'), 7 | url('../fonts/iconfont.svg#iconfont') format('svg'); 8 | } 9 | .iconfont{ 10 | font-family:"iconfont" !important; 11 | font-size:16px;font-style:normal; 12 | -webkit-font-smoothing: antialiased; 13 | -webkit-text-stroke-width: 0.2px; 14 | -moz-osx-font-smoothing: grayscale; 15 | } 16 | 17 | -------------------------------------------------------------------------------- /static/css/reset.css: -------------------------------------------------------------------------------- 1 | /* 把标签默认的间距设为0 */ 2 | body,ul,ol,p,h1,h2,h3,h4,h5,h6,dl,dd,select,input,textarea,form{margin:0;padding:0} 3 | 4 | /* 让h标签文字大小继承body的文字设置 */ 5 | h1,h2,h3,h4,h5,h6{font-size:100%;font-weight:normal;} 6 | 7 | /* 去掉列表默认的图标 */ 8 | ul,ol{list-style:none;} 9 | 10 | /* 去掉em默认的斜体 */ 11 | em{font-style: normal;} 12 | 13 | /* 去掉a标签默认的下划线 */ 14 | a{text-decoration:none;} 15 | 16 | 17 | /* 去掉加链接时产生的框线 */ 18 | img{border:0;} 19 | 20 | /* 清除浮动 */ 21 | .clearfix:before,.clearfix:after{content:"";display:table} 22 | .clearfix:after{clear:both;} 23 | .clearfix{zoom:1} 24 | 25 | /* 浮动 */ 26 | .fl{float:left} 27 | .fr{float:right} 28 | 29 | 30 | /*评论区专用css*/ 31 | 32 | .content { 33 | box-shadow: 2px 2px 2px rgba(0, 0, 0, .2); 34 | padding: 20px 30px; 35 | margin-top: 50px; 36 | border-radius: 5px; 37 | background-color: #ffffff; 38 | } 39 | .content .title { 40 | padding: 10px; 41 | } 42 | 43 | .yd-wrap { 44 | padding: 15px; 45 | border: 1px solid #f0f0f0; 46 | border-radius: 5px; 47 | } 48 | .rt{float:right} 49 | .yd-header input{ 50 | border-bottom: 1px dashed #dedede; 51 | 52 | } 53 | .yd-header input:focus{ 54 | border-color: #eb5055; 55 | } 56 | 57 | .yd-textarea textarea { 58 | height: 10rem; 59 | } 60 | 61 | .yd-commit button { 62 | width: 100px; 63 | background-color: blue; 64 | color: white; 65 | } 66 | 67 | .yd-comment-num span{ 68 | font-size: 20px; 69 | font-weight: 800; 70 | font-family: bold; 71 | } 72 | 73 | .yd-comment-item img { 74 | width: 50px; 75 | } 76 | 77 | .yd-comment-content a { 78 | font-weight: 600; 79 | } 80 | 81 | .yd-comment-head { 82 | margin-bottom: 5px; 83 | } 84 | 85 | .yd-comment-body { 86 | margin-bottom: 10px; 87 | } 88 | 89 | .yd-comment-footer { 90 | color: #b3b3b3; 91 | border-bottom: 1px solid #f5f5f5; 92 | } 93 | .container { 94 | max-width: 1080px; 95 | } 96 | .market { 97 | background-color: #4285f4; 98 | height: 398px; 99 | position: absolute; 100 | top: 60px; 101 | width: 100%; 102 | outline: none; 103 | display: block; 104 | z-index: -1; 105 | } 106 | .row { 107 | margin-bottom: 0.75rem; 108 | 109 | } 110 | 111 | input, textarea{ 112 | resize: none; 113 | outline: none; 114 | border: none; 115 | width: 100%; 116 | margin: 10px px; 117 | border-bottom: 1px dashed #dedede; 118 | } -------------------------------------------------------------------------------- /static/css/style.css: -------------------------------------------------------------------------------- 1 | * { 2 | margin: 0; 3 | padding: 0; 4 | } 5 | body { 6 | font-size: 18px; 7 | font-family:Microsoft Yahei,Verdana,Helvetica,Arial,sans-serif; 8 | } 9 | div#ksLeftNav { 10 | position: fixed; 11 | width: 190px; 12 | float: left; 13 | margin-top: 300px; 14 | margin: 0; 15 | padding: 15px; 16 | } 17 | div#ksLeftNav * { 18 | margin: 0; 19 | padding: 0; 20 | } 21 | div#ksLeftNav div#nav-con { 22 | position: relative; 23 | } 24 | div#ksLeftNav div#nav-con ul.nav { 25 | margin: 15px; 26 | position: relative; 27 | z-index: 2; 28 | } 29 | div#ksLeftNav div#nav-con ul.nav li { 30 | list-style: none; 31 | } 32 | div#ksLeftNav div#nav-con ul.nav li a.nav-title { 33 | display: inline-block; 34 | text-decoration: none; 35 | color: #333; 36 | height: 36px; 37 | line-height: 36px; 38 | padding-left: 26px; 39 | font-weight: bold; 40 | background: url(../images/quan.png) left center no-repeat; 41 | } 42 | div#ksLeftNav div#nav-con ul.nav li a.nav-title.active { 43 | color: #00bfe9; 44 | background: url(../images/sign_right.png) 2px center no-repeat; 45 | } 46 | div#ksLeftNav div#nav-con div.nav-detail { 47 | } 48 | div#ksLeftNav div#nav-con div.nav-detail a { 49 | display: block; 50 | color: #666; 51 | padding: 5px 15px 5px 40px; 52 | text-decoration: none; 53 | } 54 | div#ksLeftNav div#nav-con div.nav-detail a.active { 55 | color: #00bfe9; 56 | } 57 | div#ksLeftNav div#nav-con div.nav-detail a:hover { 58 | text-decoration: none; 59 | } 60 | div#ksLeftNav div#nav-con div.line { 61 | position: absolute; 62 | top: 0; 63 | left: 23px; 64 | height: 100%; 65 | width: 1px; 66 | border-left: 1px solid #ccc; 67 | } 68 | div#ksLeftNav div#nav-con div.circle-top { 69 | position: absolute; 70 | top: -17px; 71 | left: 17px; 72 | } 73 | div#ksLeftNav div#nav-con div.circle-bottom { 74 | position: absolute; 75 | bottom: -17px; 76 | left: 17px; 77 | } 78 | 79 | div.right-con { 80 | margin-top: 10px; 81 | margin-left: 220px; 82 | border-left: 3px solid #00BFE9; 83 | } 84 | div.right-con div.item { 85 | padding: 15px; 86 | } 87 | div.right-con div.item div { 88 | padding: 15px 0; 89 | } 90 | div.right-con div.item h5 { 91 | font-size: 24px; 92 | color: #00BFE9; 93 | padding-bottom: 10px; 94 | border-bottom: 1px dotted #CCC; 95 | } 96 | div.right-con div.item p { 97 | padding: 15px 0; 98 | line-height: 25px; 99 | } 100 | 101 | 102 | .intro-img{ 103 | height: 200px; 104 | margin-top: 20px; 105 | margin-left: 100px; 106 | } 107 | 108 | .header_baike{ 109 | font-family:宋体; 110 | font-weight:bold; 111 | font-size:80px 112 | } 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6 |
7 |
8 | 9 | ${comment.name} ${comment.time} 10 |
11 |
12 | ${comment.content} 13 |
14 |
15 |
16 | ` 17 | return t 18 | } 19 | 20 | const insertComment = function(comment) { 21 | const commentWrap = e('.yd-comment-wrap') 22 | const t = template(comment) 23 | commentWrap.insertAdjacentHTML('beforeend', t) 24 | } 25 | 26 | const saveComment = function() { 27 | // 把所有评论存入到localStorge 28 | let items = document.querySelectorAll('.yd-comment-item') 29 | var comments = [] 30 | for (let i = 0; i < items.length; i++) { 31 | // 在单个评论页中读取用户信息 32 | const item = items[i]; 33 | var comment = { 34 | name: find(item, '.nm').innerText, 35 | content: find(item, '.panel-body').innerText, 36 | time: find(item, '.rt').innerText, 37 | } 38 | // 得到图片的src路径 x.png 的 x 这个属性 39 | var avatar = find(item, '.yd-comment-avatar').src.slice(-5, -4) 40 | comment.avatar = avatar 41 | comments.push(comment) 42 | } 43 | console.log('comments', comments); 44 | localStorage.comments = JSON.stringify(comments) 45 | } 46 | 47 | const loadComment = function() { 48 | // 从localStorge中读取所有的评论并载入, 一开始没有评论, localStorage为空 49 | var num = e('.span-comment-num') 50 | var s = localStorage.comments 51 | if (s !== '') { 52 | var comments = JSON.parse(localStorage.comments) 53 | num.innerText = comments.length 54 | for (let i = 0; i < comments.length; i++) { 55 | insertComment(comments[i]) 56 | } 57 | } 58 | } 59 | 60 | bindEvent(commitButton, 'click', function(event) { 61 | // 1. 读取信息, 存入object中, 随机给一个头像 62 | let user = { 63 | name: e('.yd-name').value, 64 | email: e('.yd-email').value, 65 | url: e('.yd-url').value, 66 | content: e('.yd-editor').value, 67 | time: getTime(), 68 | avatar: parseInt(Math.random()*2) + 1 69 | } 70 | // 2. 如果用户没输入名字, 给一个自定义的名字 71 | if (user.name == "") { 72 | user.name = '高大锤' 73 | } 74 | // 3. 插入用户到页面中 75 | insertComment(user) 76 | // 4. 读取页面中所有的评论信息写入到localStorge中 77 | saveComment() 78 | }) 79 | 80 | loadComment() 81 | 82 | -------------------------------------------------------------------------------- /static/js/nav.js: -------------------------------------------------------------------------------- 1 | var scrollTagEvent = (function() { 2 | 3 | $(function(){ 4 | 5 | var arr = []; 6 | init(); 7 | 8 | /** 9 | * 初始化 10 | * @return {[type]} [description] 11 | */ 12 | function init() { 13 | 14 | $('div#ksLeftNav a.nav-title').each(function(){ 15 | arr.push(parseInt($($(this).attr("href")).offset().top)); 16 | }); 17 | 18 | $(document).on('click','div#ksLeftNav a',function(e){ 19 | 20 | e.preventDefault(); 21 | unbindScroll(); 22 | 23 | // 判断是否为子集 24 | $('div#ksLeftNav a.nav-title').removeClass('active'); 25 | if ($(this).parent().hasClass('nav-detail')) { 26 | $(this).parent().siblings('a').addClass('active'); 27 | } else { 28 | $(this).addClass('active'); 29 | } 30 | 31 | $("html, body").animate({ 32 | scrollTop: $($(this).attr("href")).offset().top + 'px' 33 | },500,function(){ 34 | bindScroll(); 35 | }); 36 | 37 | }); 38 | 39 | $('div#ksLeftNav a.nav-title').first().trigger('click'); 40 | } 41 | 42 | /** 43 | * 滚动事件绑定 44 | * 滚动高度对应的内容响应左侧导航 45 | * @return {[type]} [description] 46 | */ 47 | function bindScroll() { 48 | 49 | $(window).on('scroll.tag',function(e){ 50 | 51 | var scrollT = $(this).scrollTop(); 52 | 53 | for (var i = 0; i < arr.length; i++) { 54 | if (scrollT >= arr[i]) { 55 | $('a.active').removeClass('active'); 56 | $('div#ksLeftNav a.nav-title:eq(' + i + ')').addClass('active'); 57 | } 58 | } 59 | }); 60 | } 61 | 62 | // 取消滚动事件的绑定，防止影响左侧导航点击事件 63 | function unbindScroll() { 64 | $(window).off('scroll.tag'); 65 | } 66 | 67 | }); 68 | 69 | })(); -------------------------------------------------------------------------------- /static/js/tool.js: -------------------------------------------------------------------------------- 1 | var e = function(selector) { 2 | return document.querySelector(selector) 3 | } 4 | 5 | var bindEvent = function(element, event, callBack) { 6 | element.addEventListener(event, callBack) 7 | } 8 | 9 | var getTime = function() { 10 | var d = new Date() 11 | 12 | var year = d.getFullYear() 13 | var month = d.getMonth()+1 14 | var day = d.getDate() 15 | 16 | var xs = d.getHours() 17 | var fz = d.getMinutes() 18 | var ms = d.getSeconds() 19 | if (xs < 10) { 20 | xs = '0' + xs 21 | } 22 | if (fz < 10) { 23 | fz = '0' + fz 24 | } 25 | if (ms < 10) { 26 | ms = '0' + ms 27 | } 28 | return `${year}-${month}-${day} ${xs}:${fz}:${ms}` 29 | } 30 | 31 | // find函数可以查找 element 的所有子元素 32 | var find = function(element, selector) { 33 | return element.querySelector(selector) 34 | } -------------------------------------------------------------------------------- /static/lib/layui/css/modules/code.css: -------------------------------------------------------------------------------- 1 | /** layui-v2.0.2 MIT License By http://www.layui.com */ 2 | html #layuicss-skincodecss{display:none;position:absolute;width:1989px}.layui-code-h3,.layui-code-view{position:relative;font-size:12px}.layui-code-view{display:block;margin:10px 0;padding:0;border:1px 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Date(e).toLocaleString(),o&&(t=t.replace(/\s[\S]+$/g,"")),t):t>=864e5?(t/1e3/60/60/24|0)+"天前":t>=36e5?(t/1e3/60/60|0)+"小时前":t>=18e4?(t/1e3/60|0)+"分钟前":t<0?"未来":"刚刚"}};e("util",t)}); -------------------------------------------------------------------------------- /static/lib/layuiadmin/config.js: -------------------------------------------------------------------------------- 1 | /** 2 | 3 | @Name：layuiAdmin iframe版全局配置 4 | @Author：贤心 5 | @Site：http://www.layui.com/admin/ 6 | @License：LPPL（layui付费产品协议） 7 | 8 | */ 9 | 10 | layui.define(['laytpl', 'layer', 'element', 'util'], function(exports){ 11 | exports('setter', { 12 | container: 'LAY_app' //容器ID 13 | ,base: layui.cache.base //记录静态资源所在路径 14 | ,views: layui.cache.base + 'tpl/' //动态模板所在目录 15 | ,entry: 'index' //默认视图文件名 16 | ,engine: '.html' //视图文件后缀名 17 | ,pageTabs: true //是否开启页面选项卡功能。iframe版推荐开启 18 | 19 | ,name: 'layuiAdmin' 20 | ,tableName: 'layuiAdmin' //本地存储表名 21 | ,MOD_NAME: 'admin' //模块事件名 22 | 23 | ,debug: true //是否开启调试模式。如开启，接口异常时会抛出异常 URL 等信息 24 | 25 | //自定义请求字段 26 | ,request: { 27 | tokenName: false //自动携带 token 的字段名（如：access_token）。可设置 false 不携带。 28 | } 29 | 30 | //自定义响应字段 31 | ,response: { 32 | statusName: 'code' //数据状态的字段名称 33 | ,statusCode: { 34 | ok: 0 //数据状态一切正常的状态码 35 | ,logout: 1001 //登录状态失效的状态码 36 | } 37 | ,msgName: 'msg' //状态信息的字段名称 38 | ,dataName: 'data' //数据详情的字段名称 39 | } 40 | 41 | //扩展的第三方模块 42 | ,extend: [ 43 | 'echarts', //echarts 核心包 44 | 'echartsTheme' //echarts 主题 45 | ] 46 | 47 | //主题配置 48 | ,theme: { 49 | //内置主题配色方案 50 | color: [{ 51 | main: '#20222A' //主题色 52 | ,selected: '#009688' //选中色 53 | ,alias: 'default' //默认别名 54 | },{ 55 | main: '#03152A' 56 | ,selected: '#3B91FF' 57 | ,alias: 'dark-blue' //藏蓝 58 | },{ 59 | main: '#2E241B' 60 | ,selected: '#A48566' 61 | ,alias: 'coffee' //咖啡 62 | },{ 63 | main: '#50314F' 64 | ,selected: '#7A4D7B' 65 | ,alias: 'purple-red' //紫红 66 | },{ 67 | main: '#344058' 68 | ,logo: '#1E9FFF' 69 | ,selected: '#1E9FFF' 70 | ,alias: 'ocean' //海洋 71 | },{ 72 | main: '#3A3D49' 73 | ,logo: '#2F9688' 74 | ,selected: '#5FB878' 75 | ,alias: 'green' //墨绿 76 | },{ 77 | main: '#20222A' 78 | ,logo: '#F78400' 79 | ,selected: '#F78400' 80 | ,alias: 'red' //橙色 81 | },{ 82 | main: '#28333E' 83 | ,logo: '#AA3130' 84 | ,selected: '#AA3130' 85 | ,alias: 'fashion-red' //时尚红 86 | },{ 87 | main: '#24262F' 88 | ,logo: '#3A3D49' 89 | ,selected: '#009688' 90 | ,alias: 'classic-black' //经典黑 91 | },{ 92 | logo: '#226A62' 93 | ,header: '#2F9688' 94 | ,alias: 'green-header' //墨绿头 95 | },{ 96 | main: '#344058' 97 | ,logo: '#0085E8' 98 | ,selected: '#1E9FFF' 99 | ,header: '#1E9FFF' 100 | ,alias: 'ocean-header' //海洋头 101 | },{ 102 | header: '#393D49' 103 | ,alias: 'classic-black-header' //经典黑头 104 | },{ 105 | main: '#50314F' 106 | ,logo: '#50314F' 107 | ,selected: '#7A4D7B' 108 | ,header: '#50314F' 109 | ,alias: 'purple-red-header' //紫红头 110 | },{ 111 | main: '#28333E' 112 | ,logo: '#28333E' 113 | ,selected: '#AA3130' 114 | ,header: '#AA3130' 115 | ,alias: 'fashion-red-header' //时尚红头 116 | },{ 117 | main: '#28333E' 118 | ,logo: '#009688' 119 | ,selected: '#009688' 120 | ,header: '#009688' 121 | ,alias: 'green-header' //墨绿头 122 | }] 123 | 124 | //初始的颜色索引，对应上面的配色方案数组索引 125 | //如果本地已经有主题色记录，则以本地记录为优先，除非请求本地数据（localStorage） 126 | ,initColorIndex: 0 127 | } 128 | }); 129 | }); 130 | -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/console/prograss.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "prograss": "开会" 7 | ,"time": "一小时" 8 | ,"complete": "已完成" 9 | ,"LAY_CHECKED": true 10 | },{ 11 | "prograss": "项目开发" 12 | ,"time": "两小时" 13 | ,"complete": "进行中" 14 | ,"LAY_CHECKED": true 15 | },{ 16 | "prograss": "陪吃饭" 17 | ,"time": "一小时" 18 | ,"complete": "未完成" 19 | },{ 20 | "prograss": "修改小bug" 21 | ,"time": "半小时" 22 | ,"complete": "未完成" 23 | },{ 24 | "prograss": "修改大bug" 25 | ,"time": "两小时" 26 | ,"complete": "未完成" 27 | },{ 28 | "prograss": "修改小bug" 29 | ,"time": "半小时" 30 | ,"complete": "未完成" 31 | },{ 32 | "prograss": "修改大bug" 33 | ,"time": "两小时" 34 | ,"complete": "未完成" 35 | }] 36 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/console/top-card.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "id": 111 7 | ,"title": "社区开始接受 “赞助商广告” 投放" 8 | ,"username": "贤心" 9 | ,"channel": "公告" 10 | ,"href": "http://fly.layui.com/jie/15697/" 11 | ,"crt": 61632 12 | },{ 13 | "id": 222 14 | ,"title": "layui 一周年" 15 | ,"username": "猫吃" 16 | ,"channel": "讨论" 17 | ,"href": "http://fly.layui.com/jie/16622/" 18 | ,"crt": 61632 19 | },{ 20 | "id": 333 21 | ,"title": "四个月的前端" 22 | ,"username": "fd" 23 | ,"channel": "分享" 24 | ,"href": "http://fly.layui.com/jie/16651/" 25 | ,"crt": 61632 26 | },{ 27 | "id": 333 28 | ,"title": "如何评价LayUI和他的作者闲心" 29 | ,"username": "纸飞机" 30 | ,"channel": "提问" 31 | ,"href": "http://fly.layui.com/jie/9352/" 32 | ,"crt": 61632 33 | },{ 34 | "id": 333 35 | ,"title": "如何评价LayUI和他的作者闲心" 36 | ,"username": "纸飞机" 37 | ,"channel": "提问" 38 | ,"href": "http://fly.layui.com/jie/9352/" 39 | ,"crt": 61632 40 | },{ 41 | "id": 333 42 | ,"title": "如何评价LayUI和他的作者闲心" 43 | ,"username": "纸飞机" 44 | ,"channel": "提问" 45 | ,"href": "http://fly.layui.com/jie/9352/" 46 | ,"crt": 61632 47 | },{ 48 | "id": 333 49 | ,"title": "如何评价LayUI和他的作者闲心" 50 | ,"username": "纸飞机" 51 | ,"channel": "提问" 52 | ,"href": "http://fly.layui.com/jie/9352/" 53 | ,"crt": 61632 54 | },{ 55 | "id": 333 56 | ,"title": "如何评价LayUI和他的作者闲心" 57 | ,"username": "纸飞机" 58 | ,"channel": "提问" 59 | ,"href": "http://fly.layui.com/jie/9352/" 60 | ,"crt": 61632 61 | },{ 62 | "id": 333 63 | ,"title": "如何评价LayUI和他的作者闲心" 64 | ,"username": "纸飞机" 65 | ,"channel": "提问" 66 | ,"href": "http://fly.layui.com/jie/9352/" 67 | ,"crt": 61632 68 | },{ 69 | "id": 333 70 | ,"title": "如何评价LayUI和他的作者闲心" 71 | ,"username": "纸飞机" 72 | ,"channel": "提问" 73 | ,"href": "http://fly.layui.com/jie/9352/" 74 | ,"crt": 61632 75 | }] 76 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/console/top-search.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "keywords": "贤心是男是女" 7 | ,"frequency": 8520 8 | ,"userNums": 2216 9 | },{ 10 | "keywords": "Java程序员能找到女朋友吗" 11 | ,"frequency": 666 12 | ,"userNums": 333 13 | },{ 14 | "keywords": "此表格是静态模拟数据" 15 | ,"frequency": 666 16 | ,"userNums": 333 17 | },{ 18 | "keywords": "layui官方教程" 19 | ,"frequency": 666 20 | ,"userNums": 333 21 | },{ 22 | "keywords": "layui官方教程" 23 | ,"frequency": 666 24 | ,"userNums": 333 25 | },{ 26 | "keywords": "layui官方教程" 27 | ,"frequency": 666 28 | ,"userNums": 333 29 | },{ 30 | "keywords": "layui官方教程" 31 | ,"frequency": 666 32 | ,"userNums": 333 33 | },{ 34 | "keywords": "layui官方教程" 35 | ,"frequency": 666 36 | ,"userNums": 333 37 | },{ 38 | "keywords": "layui官方教程" 39 | ,"frequency": 666 40 | ,"userNums": 333 41 | },{ 42 | "keywords": "layui官方教程" 43 | ,"frequency": 666 44 | ,"userNums": 333 45 | }] 46 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/content/comment.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "id": "001" 7 | ,"reviewers": "赵" 8 | ,"content": "我又爱上编程了" 9 | ,"commtime": 20160312 10 | },{ 11 | "id": "002" 12 | ,"reviewers": "钱" 13 | ,"content": "女生出门要小心" 14 | ,"commtime": 20160821 15 | },{ 16 | "id": "003" 17 | ,"reviewers": "孙" 18 | ,"content": "框架就用layui" 19 | ,"commtime": 20161212 20 | },{ 21 | "id": "004" 22 | ,"reviewers": "李" 23 | ,"content": "心姐么么哒" 24 | ,"commtime": 20170311 25 | },{ 26 | "id": "005" 27 | ,"reviewers": "周" 28 | ,"content": "希望明天是个好天气" 29 | ,"commtime": 20170612 30 | },{ 31 | "id": "006" 32 | ,"reviewers": "吴" 33 | ,"content": "我又爱上编程了" 34 | ,"commtime": 20171112 35 | },{ 36 | "id": "007" 37 | ,"reviewers": "郑" 38 | ,"content": "女生出门要小心" 39 | ,"commtime": 20171230 40 | },{ 41 | "id": "008" 42 | ,"reviewers": "王" 43 | ,"content": "框架就用layui" 44 | ,"commtime": 20180112 45 | },{ 46 | "id": "009" 47 | ,"reviewers": "冯" 48 | ,"content": "心姐么么哒" 49 | ,"commtime": 20180221 50 | },{ 51 | "id": "010" 52 | ,"reviewers": "陈" 53 | ,"content": "希望明天是个好天气" 54 | ,"commtime": 20180312 55 | }] 56 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/content/list.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "id": "001" 7 | ,"label": "美食" 8 | ,"title": "舌尖上的中国第一季" 9 | ,"author": "作者-1" 10 | ,"content": "通过中华美食的多个侧面，来展现食物给中国人生活带来的仪式、伦理等方面的文化；见识中国特色食材以及与食物相关、构成中国美食特有气质的一系列元素；了解中华饮食文化的精致和源远流长" 11 | ,"uploadtime": 20121204 12 | ,"status": true 13 | },{ 14 | "id": "002" 15 | ,"label": "美食" 16 | ,"title": "舌尖上的中国第二季" 17 | ,"author": "作者-2" 18 | ,"content": "以食物为窗口，读懂中国——通过美食，使人们可以有滋有味地认知这个古老的东方国度。“一方水土一方人”，本片将通过展示人们日常生活中与美食相关的多重侧面，描绘与感知中国人的文化传统、家族观念、生活态度与故土难离。人们收获、保存、烹饪、生产美食，并在其过程中留存和传承食物所承载的味觉记忆、饮食习俗、文化样态与家常情感。" 19 | ,"uploadtime": 20141204 20 | ,"status": false 21 | },{ 22 | "id": "003" 23 | ,"label": "美食" 24 | ,"title": "舌尖上的中国第三季" 25 | ,"author": "作者-3" 26 | ,"content": "以食物为窗口，读懂中国——通过美食，使人们可以有滋有味地认知这个古老的东方国度。“一方水土一方人”，本片将通过展示人们日常生活中与美食相关的多重侧面，描绘与感知中国人的文化传统、家族观念、生活态度与故土难离。人们收获、保存、烹饪、生产美食，并在其过程中留存和传承食物所承载的味觉记忆、饮食习俗、文化样态与家常情感将世界美食和中国美食进行比照。春耕、夏耘、秋收、冬藏，天人合一的东方哲学让中国饮食依时而变，智慧灵动，中医营养摄生学说创造了食材运用的新天地，儒家人伦道德则把心意和家的味道端上我们的餐桌。淘洗历史，糅合时光，一代又一代的中国人在天地间升起烟火，用至精至诚的心意烹制食物，一餐一食之间，中国人展示个性，确认归属，构建文明，理解和把握着世界的奥妙。" 27 | ,"uploadtime": 20161204 28 | ,"status": false 29 | },{ 30 | "id": "004" 31 | ,"label": "历史" 32 | ,"title": "诸葛亮骂王朗" 33 | ,"author": "作者-1" 34 | ,"content": "皓首匹夫！苍髯老贼！你即将命归于九泉之下，届时，有何面目见汉朝二十四代先帝？二臣贼子！你枉活七十有六，一生未立寸功，只会摇唇舞舌，助曹为虐！一条断脊之犬，还敢在我军阵前狺狺狂吠！我从未见过如此厚颜无耻之人！！！" 35 | ,"uploadtime": 20180201 36 | ,"status": false 37 | },{ 38 | "id": "005" 39 | ,"label": "新闻" 40 | ,"title": "新时代特色中国梦" 41 | ,"author": "作者-1" 42 | ,"content": "今天，我们比历史上任何时期都更接近、更有信心和能力实现中华民族伟大复兴的目标。新时代已经到来，蓝图已经绘就，中国梦离我们越来越近了。" 43 | ,"uploadtime": 20180512 44 | ,"status": false 45 | },{ 46 | "id": "006" 47 | ,"label": "新闻" 48 | ,"title": "新时代特色中国梦" 49 | ,"author": "作者-2" 50 | ,"content": "梦想不会主动走向我们，只有我们去主动实现梦想。行百里者半九十。虽然中国梦离我们越来越近了，但是要实现中国梦，还要靠我们以永不懈怠的精神状态、功在不舍的坚强意志，不忘初心，继续前进。" 51 | ,"uploadtime": 20180514 52 | ,"status": false 53 | },{ 54 | "id": "007" 55 | ,"label": "体育" 56 | ,"title": "皇马大战利物浦" 57 | ,"author": "作者-3" 58 | ,"content": "对欧足联而言，更想要产生个新冠军。连续三年都是同一个冠军队，这会毁掉欧冠……”格里姆表态，“皇马有梦幻般的阵容，但从促进竞争的角度而言，另一支球队获胜会更好。" 59 | ,"uploadtime": 20180515 60 | ,"status": false 61 | }] 62 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/content/tags.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "id": "001" 7 | ,"tags": "美食" 8 | },{ 9 | "id": "002" 10 | ,"tags": "新闻" 11 | },{ 12 | "id": "003" 13 | ,"tags": "八卦" 14 | },{ 15 | "id": "004" 16 | ,"tags": "体育" 17 | },{ 18 | "id": "005" 19 | ,"tags": "音乐" 20 | }] 21 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/forum/list.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "id": "1001" 7 | ,"poster": "赵" 8 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 9 | ,"content": "为什么花儿这么么红" 10 | ,"posttime": 20160805 11 | ,"top": false 12 | },{ 13 | "id": "1002" 14 | ,"poster": "钱" 15 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 16 | ,"content": "喜欢胡歌，赞赞赞" 17 | ,"posttime": 20161205 18 | ,"top": true 19 | },{ 20 | "id": "1003" 21 | ,"poster": "孙" 22 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 23 | ,"content": "明天就要考试了，好紧张，求保佑" 24 | ,"posttime": 20170405 25 | ,"top": false 26 | },{ 27 | "id": "1004" 28 | ,"poster": "李" 29 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 30 | ,"content": "希望明天是个好天气" 31 | ,"posttime": 20171005 32 | ,"top": false 33 | },{ 34 | "id": "1005" 35 | ,"poster": "周" 36 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 37 | ,"content": "女追男隔层纱，是不是真的" 38 | ,"posttime": 20180205 39 | ,"top": false 40 | },{ 41 | "id": "1006" 42 | ,"poster": "吴" 43 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 44 | ,"content": "竟然有人跳楼，年轻人想不开啊！" 45 | ,"posttime": 20180512 46 | ,"top": false 47 | },{ 48 | "id": "1007" 49 | ,"poster": "郑" 50 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 51 | ,"content": "大家一定不能学那个年轻人，珍爱生命啊" 52 | ,"posttime": 20180512 53 | ,"top": false 54 | },{ 55 | "id": "1008" 56 | ,"poster": "王" 57 | ,"avatar": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg" 58 | ,"content": "想知道南昌哪里有好吃的西安肉夹馍" 59 | ,"posttime": 20180514 60 | ,"top": false 61 | }] 62 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/forum/replys.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "id": "001" 7 | ,"replyer": "吴" 8 | ,"cardid": "1002" 9 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 10 | ,"content": "有眼光，我也喜欢胡歌！" 11 | ,"replytime": 20161205 12 | },{ 13 | "id": "002" 14 | ,"replyer": "郑" 15 | ,"cardid": "1002" 16 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 17 | ,"content": "同上同上。" 18 | ,"replytime": 20161205 19 | },{ 20 | "id": "003" 21 | ,"replyer": "王" 22 | ,"cardid": "1003" 23 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 24 | ,"content": "能过一定过，不能过紧张也没用" 25 | ,"replytime": 20170405 26 | },{ 27 | "id": "004" 28 | ,"replyer": "冯" 29 | ,"cardid": "1001" 30 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 31 | ,"content": "可能因为你流鼻血了。" 32 | ,"replytime": 20170405 33 | },{ 34 | "id": "005" 35 | ,"replyer": "陈" 36 | ,"cardid": "1003" 37 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 38 | ,"content": "加油加油，看好你" 39 | ,"replytime": 20170405 40 | },{ 41 | "id": "006" 42 | ,"replyer": "褚" 43 | ,"cardid": "1005" 44 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 45 | ,"content": "纯属放屁" 46 | ,"replytime": 20180207 47 | },{ 48 | "id": "007" 49 | ,"replyer": "卫" 50 | ,"cardid": "1005" 51 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 52 | ,"content": "可以试试" 53 | ,"replytime": 20180207 54 | },{ 55 | "id": "006" 56 | ,"replyer": "蒋" 57 | ,"cardid": "1006" 58 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 59 | ,"content": "是啊是啊，太恐怖了。" 60 | ,"replytime": 20180512 61 | },{ 62 | "id": "007" 63 | ,"replyer": "沈" 64 | ,"cardid": "1008" 65 | ,"avatar": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg" 66 | ,"content": "魏家凉皮的凉皮就很不错奥。" 67 | ,"replytime": 20180515 68 | }] 69 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/layer/photos.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0, 3 | "msg": "", 4 | "title": "JSON请求的相册", 5 | "id": 8, 6 | "start": 0, 7 | "data": [ 8 | { 9 | "alt": "layer", 10 | "pid": 109, 11 | "src": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4keaw9pj20dw08caa4.jpg", 12 | "thumb": "" 13 | }, 14 | { 15 | "alt": "说好的，一起Fly", 16 | "pid": 110, 17 | "src": "https://wx4.sinaimg.cn/mw1024/5db11ff4gy1fmx4kebemcj20ga09saa1.jpg", 18 | "thumb": "" 19 | }, 20 | { 21 | "alt": "佟丽娅女神", 22 | "pid": 111, 23 | "src": "https://wx2.sinaimg.cn/mw690/5db11ff4gy1fmx4kec5bvj20eb0h3mxh.jpg", 24 | "thumb": "" 25 | }, 26 | { 27 | "alt": "凤姐是个好人", 28 | "pid": 112, 29 | "src": "https://wx3.sinaimg.cn/mw690/5db11ff4gy1fmx4kec9vuj20b20dwmyk.jpg", 30 | "thumb": "" 31 | }, 32 | { 33 | "alt": "星空如此深邃", 34 | "pid": 113, 35 | "src": "https://wx3.sinaimg.cn/mw690/5db11ff4gy1fmx4keca8ag208g06iglw.gif", 36 | "thumb": "" 37 | } 38 | ] 39 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/layim/getList.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"data": { 5 | 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{ 42 | "id": 111 43 | ,"title": "贤心发来了一段私信" 44 | ,"time": 1507447570000 45 | }] 46 | } -------------------------------------------------------------------------------- /static/lib/layuiadmin/json/message/detail.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"data": { 5 | "id": 111 6 | ,"title": "你好新朋友，感谢使用 layuiAdmin" 7 | ,"content": "

    一直以来，layui 秉承无偿开源的初心，虔诚致力于服务各层次前后端 Web 开发者，在商业横飞的当今时代，这一信念从未动摇。即便身单力薄，仍然重拾决心，埋头造轮，以尽可能地填补产品本身的缺口。在过去的一段的时间，我一直在寻求持久之道，已维持你眼前所见的一切。而 layuiAdmin 是我们尝试解决的手段之一。我相信真正有爱于 layui 生态的你，定然不会错过这一拥抱吧。

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-------------------------------------------------------------------------------- /static/lib/layuiadmin/json/workorder/demo.js: -------------------------------------------------------------------------------- 1 | { 2 | "code": 0 3 | ,"msg": "" 4 | ,"count": "100" 5 | ,"data": [{ 6 | "orderid": 111 7 | ,"title": "移动支付踏入马来西亚，聚合支付紧随其后" 8 | ,"attr": "公告" 9 | ,"progress": "25%" 10 | ,"submit": "贤心" 11 | ,"accept": "员工-1" 12 | ,"state": "处理中" 13 | },{ 14 | "orderid": 222 15 | ,"title": "凡科拖拽式免费建站神器，享双重优惠！" 16 | ,"attr": "讨论" 17 | ,"progress": "100%" 18 | ,"submit": "猫吃" 19 | ,"accept": "员工-1" 20 | ,"state": "已处理" 21 | },{ 22 | "orderid": 333 23 | ,"title": "看着别人的老板给员工送汽车有感" 24 | ,"attr": "分享" 25 | ,"progress": "0%" 26 | ,"submit": "纸飞机" 27 | ,"accept": "" 28 | ,"state": "未分配" 29 | },{ 30 | "orderid": 444 31 | ,"title": "DISCUZ的云平台应该彻底完了" 32 | ,"attr": "提问" 33 | ,"progress": "0%" 34 | ,"submit": "纸飞机" 35 | ,"accept": "" 36 | ,"state": "未分配" 37 | },{ 38 | "orderid": 555 39 | ,"title": 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e=(layui.$,layui.table);e.render({elem:"#LAY-index-prograss",url:layui.setter.base+"json/console/prograss.js",cols:[[{type:"checkbox",fixed:"left"},{field:"prograss",title:"任务"},{field:"time",title:"所需时间"},{field:"complete",title:"完成情况",templet:function(e){return"已完成"==e.complete?''+e.complete+"":"进行中"==e.complete?''+e.complete+"":''+e.complete+""}}]],skin:"line"})}),a.events.replyNote=function(e){var a=e.data("id");layer.prompt({title:"回复留言 ID:"+a,formType:2},function(e,a){layer.msg("得到："+e),layer.close(a)})},e("sample",{})}); -------------------------------------------------------------------------------- /static/lib/layuiadmin/modules/set.js: -------------------------------------------------------------------------------- 1 | /** layuiAdmin.std-v1.4.0 LPPL License By https://www.layui.com/admin/ */ 2 | ;layui.define(["form","upload"],function(t){var i=layui.$,e=layui.layer,a=(layui.laytpl,layui.setter,layui.view,layui.admin),n=layui.form,s=layui.upload;i("body");n.verify({nickname:function(t,i){return new RegExp("^[a-zA-Z0-9_一-龥\\s·]+$").test(t)?/(^\_)|(\__)|(\_+$)/.test(t)?"用户名首尾不能出现下划线'_'":/^\d+\d+\d$/.test(t)?"用户名不能全为数字":void 0:"用户名不能有特殊字符"},pass:[/^[\S]{6,12}$/,"密码必须6到12位，且不能出现空格"],repass:function(t){if(t!==i("#LAY_password").val())return"两次密码输入不一致"}}),n.on("submit(set_website)",function(t){return e.msg(JSON.stringify(t.field)),!1}),n.on("submit(set_system_email)",function(t){return e.msg(JSON.stringify(t.field)),!1}),n.on("submit(setmyinfo)",function(t){return e.msg(JSON.stringify(t.field)),!1});var r=i("#LAY_avatarSrc");s.render({url:"/api/upload/",elem:"#LAY_avatarUpload",done:function(t){0==t.status?r.val(t.url):e.msg(t.msg,{icon:5})}}),a.events.avartatPreview=function(t){var i=r.val();e.photos({photos:{title:"查看头像",data:[{src:i}]},shade:.01,closeBtn:1,anim:5})},n.on("submit(setmypass)",function(t){return e.msg(JSON.stringify(t.field)),!1}),t("set",{})}); -------------------------------------------------------------------------------- /static/lib/layuiadmin/modules/user.js: -------------------------------------------------------------------------------- 1 | /** layuiAdmin.std-v1.4.0 LPPL License By https://www.layui.com/admin/ */ 2 | ;layui.define("form",function(e){var s=layui.$,t=(layui.layer,layui.laytpl,layui.setter,layui.view,layui.admin),i=layui.form,a=s("body");i.verify({nickname:function(e,s){return new RegExp("^[a-zA-Z0-9_一-龥\\s·]+$").test(e)?/(^\_)|(\__)|(\_+$)/.test(e)?"用户名首尾不能出现下划线'_'":/^\d+\d+\d$/.test(e)?"用户名不能全为数字":void 0:"用户名不能有特殊字符"},pass:[/^[\S]{6,12}$/,"密码必须6到12位，且不能出现空格"]}),t.sendAuthCode({elem:"#LAY-user-getsmscode",elemPhone:"#LAY-user-login-cellphone",elemVercode:"#LAY-user-login-vercode",ajax:{url:layui.setter.base+"json/user/sms.js"}}),a.on("click","#LAY-user-get-vercode",function(){s(this);this.src="https://www.oschina.net/action/user/captcha?t="+(new Date).getTime()}),e("user",{})}); -------------------------------------------------------------------------------- /static/lib/layuiadmin/modules/useradmin.js: -------------------------------------------------------------------------------- 1 | /** layuiAdmin.std-v1.4.0 LPPL License By https://www.layui.com/admin/ */ 2 | ;layui.define(["table","form"],function(e){var t=layui.$,i=layui.table;layui.form;i.render({elem:"#LAY-user-manage",url:layui.setter.base+"json/useradmin/webuser.js",cols:[[{type:"checkbox",fixed:"left"},{field:"id",width:100,title:"ID",sort:!0},{field:"username",title:"用户名",minWidth:100},{field:"avatar",title:"头像",width:100,templet:"#imgTpl"},{field:"phone",title:"手机"},{field:"email",title:"邮箱"},{field:"sex",width:80,title:"性别"},{field:"ip",title:"IP"},{field:"jointime",title:"加入时间",sort:!0},{title:"操作",width:150,align:"center",fixed:"right",toolbar:"#table-useradmin-webuser"}]],page:!0,limit:30,height:"full-220",text:"对不起，加载出现异常！"}),i.on("tool(LAY-user-manage)",function(e){e.data;if("del"===e.event)layer.prompt({formType:1,title:"敏感操作，请验证口令"},function(t,i){layer.close(i),layer.confirm("真的删除行么",function(t){e.del(),layer.close(t)})});else if("edit"===e.event){t(e.tr);layer.open({type:2,title:"编辑用户",content:"../../../views/user/user/userform.html",maxmin:!0,area:["500px","450px"],btn:["确定","取消"],yes:function(e,t){var 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if("edit"===e.event){t(e.tr);layer.open({type:2,title:"编辑管理员",content:"../../../views/user/administrators/adminform.html",area:["420px","420px"],btn:["确定","取消"],yes:function(e,t){var l=window["layui-layer-iframe"+e],r="LAY-user-back-submit",n=t.find("iframe").contents().find("#"+r);l.layui.form.on("submit("+r+")",function(t){t.field;i.reload("LAY-user-front-submit"),layer.close(e)}),n.trigger("click")},success:function(e,t){}})}}),i.render({elem:"#LAY-user-back-role",url:layui.setter.base+"json/useradmin/role.js",cols:[[{type:"checkbox",fixed:"left"},{field:"id",width:80,title:"ID",sort:!0},{field:"rolename",title:"角色名"},{field:"limits",title:"拥有权限"},{field:"descr",title:"具体描述"},{title:"操作",width:150,align:"center",fixed:"right",toolbar:"#table-useradmin-admin"}]],text:"对不起，加载出现异常！"}),i.on("tool(LAY-user-back-role)",function(e){e.data;if("del"===e.event)layer.confirm("确定删除此角色？",function(t){e.del(),layer.close(t)});else if("edit"===e.event){t(e.tr);layer.open({type:2,title:"编辑角色",content:"../../../views/user/administrators/roleform.html",area:["500px","480px"],btn:["确定","取消"],yes:function(e,t){var l=window["layui-layer-iframe"+e],r=t.find("iframe").contents().find("#LAY-user-role-submit");l.layui.form.on("submit(LAY-user-role-submit)",function(t){t.field;i.reload("LAY-user-back-role"),layer.close(e)}),r.trigger("click")},success:function(e,t){}})}}),e("useradmin",{})}); -------------------------------------------------------------------------------- /static/lib/layuiadmin/modules/workorder.js: -------------------------------------------------------------------------------- 1 | /** layuiAdmin.std-v1.4.0 LPPL License By https://www.layui.com/admin/ */ 2 | ;layui.define(["table","form","element"],function(e){var t=layui.$,i=layui.table,r=(layui.form,layui.element);i.render({elem:"#LAY-app-system-order",url:layui.setter.base+"json/workorder/demo.js",cols:[[{type:"numbers",fixed:"left"},{field:"orderid",width:100,title:"工单号",sort:!0},{field:"attr",width:100,title:"业务性质"},{field:"title",width:100,title:"工单标题",width:300},{field:"progress",title:"进度",width:200,align:"center",templet:"#progressTpl"},{field:"submit",width:100,title:"提交者"},{field:"accept",width:100,title:"受理人员"},{field:"state",title:"工单状态",templet:"#buttonTpl",minWidth:80,align:"center"},{title:"操作",align:"center",fixed:"right",toolbar:"#table-system-order"}]],page:!0,limit:10,limits:[10,15,20,25,30],text:"对不起，加载出现异常！",done:function(){r.render("progress")}}),i.on("tool(LAY-app-system-order)",function(e){e.data;if("edit"===e.event){t(e.tr);layer.open({type:2,title:"编辑工单",content:"../../../views/app/workorder/listform.html",area:["450px","450px"],btn:["确定","取消"],yes:function(e,t){var r=window["layui-layer-iframe"+e],l="LAY-app-workorder-submit",o=t.find("iframe").contents().find("#"+l);r.layui.form.on("submit("+l+")",function(t){t.field;i.reload("LAY-user-front-submit"),layer.close(e)}),o.trigger("click")},success:function(e,t){}})}}),e("workorder",{})}); -------------------------------------------------------------------------------- /static/lib/layuiadmin/style/login.css: -------------------------------------------------------------------------------- 1 | /** layuiAdmin.std-v1.4.0 LPPL License By https://www.layui.com/admin/ */ 2 | #LAY_app,body,html{height:100%}.layui-layout-body{overflow:auto}#LAY-user-login,.layadmin-user-display-show{display:block!important}.layadmin-user-login{position:relative;left:0;top:0;padding:110px 0;min-height:100%;box-sizing:border-box}.layadmin-user-login-main{width:375px;margin:0 auto;box-sizing:border-box}.layadmin-user-login-box{padding:20px}.layadmin-user-login-header{text-align:center}.layadmin-user-login-header h2{margin-bottom:10px;font-weight:300;font-size:30px;color:#000}.layadmin-user-login-header p{font-weight:300;color:#999}.layadmin-user-login-body .layui-form-item{position:relative}.layadmin-user-login-icon{position:absolute;left:1px;top:1px;width:38px;line-height:36px;text-align:center;color:#d2d2d2}.layadmin-user-login-body .layui-form-item .layui-input{padding-left:38px}.layadmin-user-login-codeimg{max-height:38px;width:100%;cursor:pointer;box-sizing:border-box}.layadmin-user-login-other{position:relative;font-size:0;line-height:38px;padding-top:20px}.layadmin-user-login-other>*{display:inline-block;vertical-align:middle;margin-right:10px;font-size:14px}.layadmin-user-login-other .layui-icon{position:relative;top:2px;font-size:26px}.layadmin-user-login-other a:hover{opacity:.8}.layadmin-user-jump-change{float:right}.layadmin-user-login-footer{position:absolute;left:0;bottom:0;width:100%;line-height:30px;padding:20px;text-align:center;box-sizing:border-box;color:rgba(0,0,0,.5)}.layadmin-user-login-footer span{padding:0 5px}.layadmin-user-login-footer a{padding:0 5px;color:rgba(0,0,0,.5)}.layadmin-user-login-footer a:hover{color:rgba(0,0,0,1)}.layadmin-user-login-main[bgimg]{background-color:#fff;box-shadow:0 0 5px rgba(0,0,0,.05)}.ladmin-user-login-theme{position:fixed;bottom:0;left:0;width:100%;text-align:center}.ladmin-user-login-theme ul{display:inline-block;padding:5px;background-color:#fff}.ladmin-user-login-theme ul li{display:inline-block;vertical-align:top;width:64px;height:43px;cursor:pointer;transition:all .3s;-webkit-transition:all .3s;background-color:#f2f2f2}.ladmin-user-login-theme ul li:hover{opacity:.9}@media screen and (max-width:768px){.layadmin-user-login{padding-top:60px}.layadmin-user-login-main{width:300px}.layadmin-user-login-box{padding:10px}} -------------------------------------------------------------------------------- /static/lib/layuiadmin/style/res/bg-none.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jiamin329/fruit-classifer/ab62141fa78fdebcdcd8a7439349cbfaad88553f/static/lib/layuiadmin/style/res/bg-none.jpg -------------------------------------------------------------------------------- /static/lib/layuiadmin/style/res/layui-logo.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jiamin329/fruit-classifer/ab62141fa78fdebcdcd8a7439349cbfaad88553f/static/lib/layuiadmin/style/res/layui-logo.jpg -------------------------------------------------------------------------------- /static/lib/layuiadmin/style/res/logo-black.png: 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https://raw.githubusercontent.com/jiamin329/fruit-classifer/ab62141fa78fdebcdcd8a7439349cbfaad88553f/static/lib/layuiadmin/style/res/template/portrait.png -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/layim/demo.html: -------------------------------------------------------------------------------- 1 |
        2 | 3 | 4 | 5 | 6 | 7 | 8 |
        9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 |
        18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 |
        -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/system/about.html: -------------------------------------------------------------------------------- 1 | 2 |
        版本信息
        3 |
        4 | 8 |
        9 | 获取授权 10 | 下载新版 11 |
        12 |
        13 | 14 |
        关于版权
        15 |
        16 | 17 |
        18 | layuiAdmin 受国家计算机软件著作权保护（登记号：2018SR410669），必须经官网授权才可获得源文件使用权。不得恶意分享产品源代码、二次转售等，违者将承担相应的法律责任。 19 |

        详见：《layui 付费产品服务条款》 20 |
        21 |

        © 2020 layui.com 版权所有

        22 |
        -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/system/get.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 授权获得 layuiAdmin 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
        17 |
        18 |
        19 |
        20 |

        专业版

        21 |
          22 |
        • 始终基于全新的 layui 版本
          • 23 |
        • 单页面应用，所有操作无需跳转
          • 24 |
        • 支持前后端分离开发模式
          • 25 |
        • 面向全屏幕尺寸的响应式适配能力
          • 26 |
        • 灵活的主题色配置
          • 27 |
        • 专属的开发者文档，助你快速掌握
          • 28 |
        • 版本的持续更新，集大众之所需
          • 29 |
        • 专属的会员群，与同道中人隔空交流
          • 30 |
        • layui 社区 VIP 标识
          • 31 |
        • 不限制域名、不限制应用的项目数量
          • 32 |
        33 |
        34 |
        35 | 一年授权 36 |
        37 |
        38 | 39 | 永久授权 40 | hot 41 | 42 |
        43 |
        44 |
        45 |
        46 |
        47 | 你所获得的不仅仅是一款高精品的后台管理模板系统，更是一项关于时间与效率的高收益回报 48 |
        49 |
        50 |
        51 | 52 | 53 | 60 | 61 | -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/system/more.html: -------------------------------------------------------------------------------- 1 | 2 | 3 |
        4 |
        5 | 6 | 7 | 获得产品 8 | 9 |
        10 |
        11 | 12 | 13 | 设置主题 14 | 15 |
        16 |
        17 | 18 | 19 | 本地便签 20 | 21 |
        22 |
        23 | -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/system/theme.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 28 | 29 | 44 | -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/system/说明.txt: -------------------------------------------------------------------------------- 1 | 2 | 注意： 3 | 该目录存放的是 layuiAdmin 的系统模板碎片，很多界面需要依赖到它，切勿随意剔除。 -------------------------------------------------------------------------------- /static/lib/layuiadmin/tpl/说明.txt: -------------------------------------------------------------------------------- 1 | 2 | 注意： 3 | 该目录存放的是 layuiAdmin 的动态模板碎片 -------------------------------------------------------------------------------- /templates/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jiamin329/fruit-classifer/ab62141fa78fdebcdcd8a7439349cbfaad88553f/templates/favicon.ico -------------------------------------------------------------------------------- /train.py: -------------------------------------------------------------------------------- 1 | import tensorflow as tf 2 | from data import train_db, dev_db 3 | import models 4 | import settings 5 | from models import show_loss_acc 6 | 7 | # 从models文件中导入模型 8 | model = models.my_densenet() 9 | model.summary() 10 | 11 | # 配置优化器、损失函数、以及监控指标 12 | model.compile(tf.keras.optimizers.Adam(settings.LEARNING_RATE), 13 | loss=tf.keras.losses.categorical_crossentropy, 14 | metrics=['accuracy']) 15 | 16 | # 在每个epoch结束后尝试保存模型参数，只有当前参数的val_accuracy比之前保存的更优时，才会覆盖掉之前保存的参数 17 | model_check_point = tf.keras.callbacks.ModelCheckpoint(filepath=settings.MODEL_PATH, 18 | monitor='val_accuracy', 19 | save_best_only=True) 20 | # 使用tf.keras的高级接口进行训练 21 | history = model.fit(train_db, epochs=settings.TRAIN_EPOCHS, 22 | validation_data=dev_db, callbacks=[model_check_point]) 23 | show_loss_acc(history) 24 | 25 | --------------------------------------------------------------------------------