基于Paddle的农作物病虫害识别系统python源码+文档说明+数据集资料

共372个文件

py：18个

pyc：12个

txt：2个

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基于Paddle的农作物病虫害识别系统python源码+文档说明+数据集资料（372个子文件）

app-server.log.2020-04-24 24KB

app-server.log.2020-04-28 39KB

__model__ 1.91MB

logger.conf 894B

server.conf 619B

conv1_bn_mean 280B

conv1_bn_offset 280B

conv1_bn_scale 280B

conv1_bn_variance 280B

conv1_weights 37KB

conv2_1_prj_bn_mean 1KB

conv2_1_prj_bn_offset 1KB

conv2_1_prj_bn_scale 1KB

conv2_1_prj_bn_variance 1KB

conv2_1_prj_weights 64KB

conv2_1_x1_bn_mean 537B

conv2_1_x1_bn_offset 537B

conv2_1_x1_bn_scale 537B

conv2_1_x1_bn_variance 537B

conv2_1_x1_weights 32KB

conv2_1_x2_bn_mean 537B

conv2_1_x2_bn_offset 537B

conv2_1_x2_bn_scale 537B

conv2_1_x2_bn_variance 537B

conv2_1_x2_weights 18KB

conv2_1_x3_bn_mean 1KB

conv2_1_x3_bn_offset 1KB

conv2_1_x3_bn_scale 1KB

conv2_1_x3_bn_variance 1KB

conv2_1_x3_weights 128KB

conv2_2_x1_bn_mean 537B

conv2_2_x1_bn_offset 537B

conv2_2_x1_bn_scale 537B

conv2_2_x1_bn_variance 537B

conv2_2_x1_weights 128KB

conv2_2_x2_bn_mean 537B

conv2_2_x2_bn_offset 537B

conv2_2_x2_bn_scale 537B

conv2_2_x2_bn_variance 537B

conv2_2_x2_weights 18KB

conv2_2_x3_bn_mean 1KB

conv2_2_x3_bn_offset 1KB

conv2_2_x3_bn_scale 1KB

conv2_2_x3_bn_variance 1KB

conv2_2_x3_weights 128KB

conv2_3_x1_bn_mean 537B

conv2_3_x1_bn_offset 537B

conv2_3_x1_bn_scale 537B

conv2_3_x1_bn_variance 537B

conv2_3_x1_weights 128KB

conv2_3_x2_bn_mean 537B

conv2_3_x2_bn_offset 537B

conv2_3_x2_bn_scale 537B

conv2_3_x2_bn_variance 537B

conv2_3_x2_weights 18KB

conv2_3_x3_bn_mean 1KB

conv2_3_x3_bn_offset 1KB

conv2_3_x3_bn_scale 1KB

conv2_3_x3_bn_variance 1KB

conv2_3_x3_weights 128KB

conv3_1_prj_bn_mean 2KB

conv3_1_prj_bn_offset 2KB

conv3_1_prj_bn_scale 2KB

conv3_1_prj_bn_variance 2KB

conv3_1_prj_weights 512KB

conv3_1_x1_bn_mean 1KB

conv3_1_x1_bn_offset 1KB

conv3_1_x1_bn_scale 1KB

conv3_1_x1_bn_variance 1KB

conv3_1_x1_weights 256KB

conv3_1_x2_bn_mean 1KB

conv3_1_x2_bn_offset 1KB

conv3_1_x2_bn_scale 1KB

conv3_1_x2_bn_variance 1KB

conv3_1_x2_weights 72KB

conv3_1_x3_bn_mean 2KB

conv3_1_x3_bn_offset 2KB

conv3_1_x3_bn_scale 2KB

conv3_1_x3_bn_variance 2KB

conv3_1_x3_weights 512KB

conv3_2_x1_bn_mean 1KB

conv3_2_x1_bn_offset 1KB

conv3_2_x1_bn_scale 1KB

conv3_2_x1_bn_variance 1KB

conv3_2_x1_weights 512KB

conv3_2_x2_bn_mean 1KB

conv3_2_x2_bn_offset 1KB

conv3_2_x2_bn_scale 1KB

conv3_2_x2_bn_variance 1KB

conv3_2_x2_weights 72KB

conv3_2_x3_bn_mean 2KB

conv3_2_x3_bn_offset 2KB

conv3_2_x3_bn_scale 2KB

conv3_2_x3_bn_variance 2KB

conv3_2_x3_weights 512KB

conv3_3_x1_bn_mean 1KB

conv3_3_x1_bn_offset 1KB

conv3_3_x1_bn_scale 1KB

conv3_3_x1_bn_variance 1KB

conv3_3_x1_weights 512KB

共 372 条

# easy_crop_diseases 本项目使用Python-Flask搭建了服务器。 data文件夹中存放农作物病虫害分类模型；work文件夹中存放项目文件。运行环境：Windows，Python3 ## 1、安装requirements.txt文件中的Python第三方库进入work文件夹，命令行运行 pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple ## 2、创建数据库，用于存放历史记录进入work文件夹，命令行运行python create_table.py ## 3、启动服务器进入work文件夹，命令行运行python app_server.py dev

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