To be a Amazoner - 需要潜修的技能(mark以自勉)

亚马逊在北京招聘软件开发工程师(SDE)及软件开发经理(SDM),年薪超过20万。SDE职位要求具备Java等语言编程经验,熟悉数据库与分布式系统;SDM职位需具备领导力及丰富的技术背景。两者均需良好的英语沟通能力。
1. Software Development Engineer (SDE)   
  
Working Location: Beijing, China 
Payment : >200k/y 
  
Do you enjoy solving very complex problems with simplest solutions? Are you excited about building large scale distributed systems? Do you enjoy leveraging technology to solve real world problems? Would you like to help us scale with the cloud and leverage latest mobile technologies? We are looking to hire in our Beijing office to work on further improving the space of OPS IT. Our systems cover a wide range of business and technology areas.  
  
Basic Qualifications:  
--Motivated self-starter who is excited about overcoming hurdles to get things moving in the right direction. 
--5+ years of relevant experience, rich hands-on programming experience in Java, Ruby, C++ and other object-oriented languages and have a deep understanding of object-oriented design
--Familiarity with Oracle, MySQL, Web Service and SOA 
--Familiarity with design concepts such as design patterns and UML are also highly desirable. 
--Practical experience with software engineering best-practices is a big advantage. Deep understanding of distributed systems and scalability is highly desirable. 
--Strong communication skills. Able to communicate in both verbal and written forms in English.  
--Strong ownership. 
--The ideal candidate will have implemented at least one large scale enterprise system with experience with databases, Linux, and various messaging technologies. 
--Experience translating business requirements into operational systems 
--Willingness to work in an agile team development environment, have basic knowledge of agile design process, experience developing software in an agile environment is highly preferred 
--A bachelor's degree in computer science, engineering or related field is required. 
--Commitment to operational excellence: building low-defect systems that are user-friendly with low operational burden; 
  
  Please send your CV to ls4@amazon.com, named by:  
  Software Development Engineer(北京-朝阳区)- name 
  
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2.  Software Development Manager (SDM) 
  
Working Location: Beijing, China 
Payment: >200k/y 
  
Do you enjoy solving complex problems via the means of data analysis, math, statistics and automation? Do you want to own a business critical system that enables Amazon to realize its vision of  being the most customer centric company? Do leveraging information retrieval, high performance computing and machine learning excite you? Amazon OPS-Tech is looking for people like you. 
  
You will lead a team of talented engineers to build innovative solution that helps Amazon to meet the challenges of fast business growth. You will own critical system modules that have direct impact to Amazon’s fast growing business. You will have the opportunity to strategize and lay out the roadmap for the system that affects the life of millions of Amazon customers worldwide.  
  
Basic Qualifications  
--Excellent communication ability is a must. English fluency is strongly desired. 
--Strong leader capable of motivating and energizing the very best software engineers, as well as gaining their respect. Ability to manage a team of 6-10 software engineers, including task planning and code reviews. 
--Demonstrated expertise in problem solving and technical innovation capability 
--Proven ability to share knowledge with more junior team members via a formal mentoring relationship, reviewing code, reviewing design docs, giving technical talks, teaching classes, or as a consultant on projects. 
--5-10 years’ relevant experience, rich hands-on programming experience in Java, Ruby, C++ and other object-oriented languages and have a deep understanding of object-oriented design. 
--Familiarity with Oracle, MySQL, Web Service and SOA 
Major in Computer Science, Engineering or related area. Prefer Master’s degree or above. 
  
Preferred Qualifications 
--Experience managing teams that design and support large-scale distributed systems  
--Experience working on production system with operational support 
--Experience in project management, team management and hiring 
--Proven experience establishing metrics for measurement of engineering and operational excellence 
--Proven experience in innovative business practices that have been game changing for business evolution 
  
Please send your CV to ls4@amazon.com, named by:  
Software Development Engineer(北京-朝阳区)- name 
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一、数据采集层:多源人脸数据获取 该层负责从不同设备 / 渠道采集人脸原始数据,为后续模型训练与识别提供基础样本,核心功能包括: 1. 多设备适配采集 实时摄像头采集: 调用计算机内置摄像头(或外接 USB 摄像头),通过OpenCV的VideoCapture接口实时捕获视频流,支持手动触发 “拍照”(按指定快捷键如Space)或自动定时采集(如每 2 秒采集 1 张),采集时自动框选人脸区域(通过Haar级联分类器初步定位),确保样本聚焦人脸。 支持采集参数配置:可设置采集分辨率(如 640×480、1280×720)、图像格式(JPG/PNG)、单用户采集数量(如默认采集 20 张,确保样本多样性),采集过程中实时显示 “已采集数量 / 目标数量”,避免样本不足。 本地图像 / 视频导入: 支持批量导入本地人脸图像文件(支持 JPG、PNG、BMP 格式),自动过滤非图像文件;导入视频文件(MP4、AVI 格式)时,可按 “固定帧间隔”(如每 10 帧提取 1 张图像)或 “手动选择帧” 提取人脸样本,适用于无实时摄像头场景。 数据集对接: 支持接入公开人脸数据集(如 LFW、ORL),通过预设脚本自动读取数据集目录结构(按 “用户 ID - 样本图像” 分类),快速构建训练样本库,无需手动采集,降低系统开发与测试成本。 2. 采集过程辅助功能 人脸有效性校验:采集时通过OpenCV的Haar级联分类器(或MTCNN轻量级模型)实时检测图像中是否包含人脸,若未检测到人脸(如遮挡、侧脸角度过大),则弹窗提示 “未识别到人脸,请调整姿态”,避免无效样本存入。 样本标签管理:采集时需为每个样本绑定 “用户标签”(如姓名、ID 号),支持手动输入标签或从 Excel 名单批量导入标签(按 “标签 - 采集数量” 对应),采集完成后自动按 “标签 - 序号” 命名文件(如 “张三
好的,这是一个比较复杂的问题,需要分多个步骤来实现。我会尽力解答,但是由于长度限制,可能无法提供完整的代码实现,还请谅解。 首先,需要了解哈夫曼编码的基本原理。哈夫曼编码是一种变长编码方式,将出现频率较高的字符用较短的编码表示,出现频率较低的字符用较长的编码表示,以达到压缩数据的目的。在哈夫曼编码中,使用哈夫曼树来表示每个字符的编码。 接下来,我们可以按照以下步骤来实现哈夫曼编译器: 1. 定义一个结构体来表示每个字符及其出现的概率: ``` typedef struct { char ch; // 字符 float prob; // 出现概率 char code[256]; // 哈夫曼编码 } HuffmanNode; ``` 2. 编写一个函数来统计输入字符串中每个字符出现的概率,并将结果存储在一个数组中: ``` void calc_prob(char *str, HuffmanNode *nodes, int *count) { int len = strlen(str); for (int i = 0; i < len; i++) { char ch = str[i]; count[ch]++; } for (int i = 0; i < 256; i++) { if (count[i] > 0) { nodes[*num_nodes].ch = i; nodes[*num_nodes].prob = (float)count[i] / len; (*num_nodes)++; } } } ``` 3. 构建哈夫曼树,按照字符出现概率从小到大排序,并将概率较小的字符作为叶子节点,概率较大的字符作为根节点: ``` void build_tree(HuffmanNode *nodes, int num_nodes) { for (int i = 0; i < num_nodes - 1; i++) { int min1 = -1, min2 = -1; for (int j = 0; j < num_nodes; j++) { if (nodes[j].parent == -1) { if (min1 == -1 || nodes[j].prob < nodes[min1].prob) { min2 = min1; min1 = j; } else if (min2 == -1 || nodes[j].prob < nodes[min2].prob) { min2 = j; } } } nodes[min1].parent = num_nodes + i; nodes[min2].parent = num_nodes + i; nodes[num_nodes + i].left = min1; nodes[num_nodes + i].right = min2; nodes[num_nodes + i].prob = nodes[min1].prob + nodes[min2].prob; } } ``` 4. 根据哈夫曼树生成每个字符的哈夫曼编码: ``` void generate_code(HuffmanNode *nodes, int root, char *buffer, int depth) { if (nodes[root].left == -1 && nodes[root].right == -1) { buffer[depth] = '\0'; strcpy(nodes[root].code, buffer); return; } buffer[depth] = '0'; generate_code(nodes, nodes[root].left, buffer, depth + 1); buffer[depth] = '1'; generate_code(nodes, nodes[root].right, buffer, depth + 1); } ``` 5. 输入任意字符串,将每个字符编码,并输出译码结果: ``` void encode_string(char *str, HuffmanNode *nodes, int num_nodes) { int len = strlen(str); for (int i = 0; i < len; i++) { char ch = str[i]; for (int j = 0; j < num_nodes; j++) { if (nodes[j].ch == ch) { printf("%s", nodes[j].code); break; } } } printf("\n"); } ``` 以上是一个基本的哈夫曼编译器的实现步骤,具体实现细节还需要根据实际情况进行调整和完善。
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