随笔分类 - 7-理论知识
摘要：<! +++ title = "工业相机的原理与选型" description = "1. 相机的芯片类型; 2. 单色相机成像原理; 3. 彩色相机的成像方案; 4. 相机接口类型; 5. 线阵和面阵相机; 6. 相机常见参数介绍" date = "2022 01 03" tags = [] ca
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摘要：<! +++ title = "OCR字符识别理论+实践" description = "1. 整体思路; 2. 关键技术; 3. 开源项目整理" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉"] series = []
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摘要：<! +++ title = "使用OpenCV EAST和Tesseract进行OCR" description = "" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉"] series = [] keywords =
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摘要：<! +++ title = "数码相机工作原理解析" description = "1. 相机的数码化历程; 2. 镜头; 3. 感光元件; 4. 处理器; 5. 存储器; 6. MOS 管" date = "2022 01 03" tags = [] categories = ["7 理论知识"
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摘要：<! +++ title = "【汇总】图像格式" description = "1. PGM; 2. JPEG; 3. PNG; 4. GIF; 5. webp" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉"] ser
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摘要：<! +++ title = "量化投资 tushare: 股票信息获取API" description = "1. 初始化; 2. 获取股票列表" date = "2022 01 03" tags = [] categories = ["7 理论知识","79 其他领域"] series = []
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摘要：<! +++ title = "视觉传感器 市场篇：行业应用" description = "1. 按行业分类; 2. 按功能分类" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉"] series = [] keyword
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摘要：<! +++ title = "视觉系统的组成" description = "1. 认识机器视觉; 2. 术语（关键参数）的解释; 3. 视觉应用的流程" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉","HeroVis
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摘要：<! +++ title = "机器视觉入门" description = "1. 什么是机器视觉; 2. 发展历程" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉","HeroVision教程"] series = []
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摘要：<! +++ title = "视觉传感器 硬件篇：镜头" description = "1. 镜头选择基础; 2. 照明选择基础" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉"] series = [] keyword
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摘要：<! +++ title = "深度学习的典型网络结构" description = "1. 神经元的连接; 2. 全连接神经网络; 3. 卷积神经网络; 4. 循环神经网络" date = "2021 12 20" tags = [] categories = ["7 理论知识","71 机器学习
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摘要：<! +++ title = "PaddleHub: 简单易用的迁移学习框架" description = "1. PaddleHub 提供的深度学习简化流程; 2. 深度学习为何能够代替机器学习; 3. 领域模型; 4. 调参; 5. PaddleHub Samples" date = "2021
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摘要：<! +++ title = "激活函数，损失函数，优化器" description = "1. 激活函数; 2. 损失函数; 3. 反向传播; 4. Dropout函数" date = "2021 12 20" tags = [] categories = ["7 理论知识","71 机器学习"]
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摘要：<! +++ title = "深度学习里的卷积运算" description = "1. 卷积运算; 2. 卷积核(kernel, or filter); 3. 卷积计算" date = "2021 12 20" tags = [] categories = ["7 理论知识","71 机器学习"
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摘要：<! +++ title = "深度学习里的交叉熵" description = "1. 什么是熵(Entropy); 2. 总结" date = "2021 12 20" tags = [] categories = ["7 理论知识","71 机器学习"] series = [] keyword
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摘要：<! +++ title = "【入门】AI模型与模式" description = "1. 机器学习算法; 2. 聚类算法（无监督式学习）" date = "2021 12 20" tags = [] categories = ["7 理论知识","71 机器学习"] series = [] ke
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摘要：<! +++ title = "【转载】光照不均匀图像分割技巧" description = "1. 案例描述; 2. 方式1: 分块阈值; 3. 方式2: 顶帽变换和底帽变换" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视
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摘要：<! +++ title = "镜头镀膜技术" description = "1. 镜头为什么要镀膜; 2. 原理解读; 3. 多层镀膜（工艺）" date = "2022 01 03" tags = [] categories = ["7 理论知识","73 机器视觉"] series = []
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摘要：<! +++ title = "为什么单反镜头做不小，镜头越好越重呢？" description = "1. 带自动对焦马达的镜头做不小; 2. 数码时代讲究的是堆料; 3. 新的希望：液态镜头" date = "2022 01 03" tags = [] categories = ["7 理论知识
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摘要：<! +++ title = "解读手机摄像头" description = "1. 手机后置镜头的分类; 2. 主摄像头; 3. 长焦摄像头; 4. 潜望式长焦摄像头; 5. 超广角摄像头; 6. 微距摄像头; 7. 景深摄像头; 8. 3D ToF 摄像头; 9. 总结" date = "202
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