# nhyai **Repository Path**: jstarseven/nhyai ## Basic Information - **Project Name**: nhyai - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2025-03-29 - **Last Updated**: 2025-03-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # nhyai 简介 基于深度学习的图像识别算法,海量大数据样本,准确识别图片和视频中的涉黄、 涉暴涉恐、政治敏感、民谣等内容,也能从美观和清晰等维度对图像进行筛选, 快速精准,解放审核人力。 演示站点: [https://ai.hn-ssc.com/sindex](https://ai.hn-ssc.com/sindex) ### 安装与使用 - Ubuntu18.04,Windows10虽然也能跑,但是环境整合会无比蛋疼 - python version >= 3.5.2 - pip install -r requirements.txt - tensorflow,tensorflow-gpu version >= 1.13.1 - pip install torch torchvision ### 启用git lfs功能 - sudo apt-get install git-lfs - git lfs install ### 前端打包 - cd /frontend - npm run build ### 关于caffe安装 - sudo apt install caffe-cpu 或 sudo apt install caffe-cuda - cp -r /usr/lib/python3/dist-packages/caffe /home/condas/envs/python3.6/lib/python3.6/ ### 数据库割接: - python backend/manage.py makemigrations - python backend/manage.py migrate ### 后台运行: - screen python backend/manage.py runserver 0.0.0.0:8000 --noreload --insecure ### 性能分析+后台运行: - python backend/manage.py runprofileserver 0.0.0.0:8000 --noreload --insecure --kcachegrind --prof-path=/tmp/ai-profile-data ### 运行多任务: - screen python backend/manage_task.py rqworker android ios default #### 创建用户Django - python backend/manage_task.py createsuperuser #### 如遇到mysql安装错误,在ubuntu下执行如下命令: - sudo apt-get install libmysqlclient-dev # 项目截图 #### 暴恐色情识别 ![](https://ae01.alicdn.com/kf/U40e826faae524ca4a2c20416a2ed036aB.jpg) #### 通用识别 ![](https://ae01.alicdn.com/kf/U92b90f7c589c4ffd8568fb9fb381daa49.jpg) #### 敏感文字过滤 ![](https://ae01.alicdn.com/kf/U4eaca3a0c93b4b409003ddf73d0d5709Z.jpg) #### 视频检测 ![](https://ae01.alicdn.com/kf/Uda6671cabada4ecdac02533b10c9217aQ.jpg) ### 参考 - https://github.com/kaldi-asr/kaldi - https://github.com/yahoo/open_nsfw - https://github.com/chineseocr/chineseocr - https://github.com/chineseocr/darknet-ocr - https://github.com/eragonruan/text-detection-ctpn