• Paragon Alignment Tool 4.0是一款硬盘4K无损对齐工具，支持SSD固态硬盘及SATA机械硬盘、U盘等等。可以让你在不重新格式化的情况下无损对硬盘进行4K对齐。4K对齐后可以提高硬盘的使用寿命以及效能，最高可提高...
• Paragon Alignment Tool Professional是一款高性能的固态SSD 4K对齐工具，支持硬盘及U盘。可以让你在不需要重新格式化的情况下对分区进行操作，可以增进格式硬盘交通，固态硬盘寿命。能够在保证数据安全的情况下...
• Face Alignment in Full Pose Range: A 3D Total Solution By . [Updates] 2020.8.30: The pre-trained model and code of ECCV-20 are made public on , the copyright is explained by Jianzhu Guo and the CBSR ...
• LAB：Look at Boundary： A Boundary-Aware Face Alignment Algorithm，商汤和清华的合作文章，2018CVPR年达到SOTA，主要采用边缘热力图融合特征信息
• keras-ACG-face-alignment 【ACG_face_alignment】ACG脸部对齐 先上图 简介 其实看名字和上面的图就知道这东西是脸部对齐……那我还写readme干什么…… 至于为什么要做这个: 你就没有在训练acg图片时loss难降的夜晚...
• React Alignment Viewer React中的MSA /对齐查看器 一个React组件，以交互方式查看多个基因组或蛋白质组序列。 入门 安装 对于用户，请运行： yarn add react-alignment-viewer 对于用户，请运行： npm ...
• forced-alignment-tools, 在强制对齐工具上，链接和注释的集合 forced-alignment-tools强制对齐工具的链接和注释的Collection版本：1.0.8日期：2018-03-03作者：Alberto Pettarin ( 联系人)许可证：创作通用属性 4.0...
• 自适应对象检测的Rebuild_Strong-Weak-Distribution-Alignment 这是个人论文的重建<用于自适应对象检测的强弱分布对齐>
• Regression-based face alignment approach is fast and accurate but is always limited by the initial face. Aim at limitation of initialization in regression methods, this paper presents a novel two-...
• One Millisecond Face Alignment with an Ensemble of Regression Trees.pdf
• Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification
• paragon alignment tool4.0注册码，能用，没问题！！！！
• sublime_alignment, 多选择和多行选择的轻松对齐 Sublime 对齐方式用于对齐 sublime text 2 中的多行 和多个选择的简单键绑定。有关安装说明，屏幕截图和文档，请参见 http://wbond.net/sublime_packages/alignment ...
• 脸部对齐 人脸识别算法高度依赖于人脸图像的位置。 眼睛通常是面部提取中使用的功能之一。 为了使程序识别人，需要在面部图像中正确定位眼睛。 面部图像根据眼睛坐标进行对齐，转换，裁剪和调整大小。...
• Deep-Alignment-Network Original implementation: Aims：training key points model and converting to mobile； 1.能较好定位人脸中68关键点的位置，在测试图中能进行较好的标注； 2.在进行移动端移植时，使用tf...
• 图像拼接的文献综述 共8篇,两篇中午，6篇英文，包含经典的Image alignment and stitching- A tutorial，值得一读。综述基本详细介绍和分析了图像拼接的整个流程、原理：包括特征检测、匹配（配准）、运动模型（相机...
• 一种通过点图比较两个蛋白质序列并显示相似性的工具。
• 惯性导航 、组合导航的姿态，做静态粗对准，采用matlab 程序编写，输入时间、加表、陀螺仪的参数，输出姿态角
• 矩形对齐映射器 | | | | | :bullseye: 关于 这个小型项目允许用户创建地图和两个放置在网格上的矩形。...\$ git clone https://github.com/Mark-The-Dev/Rectangle-Alignment-Mapper.git # Access
• 版本 oid sha256：140593c4df24d2a55a892a2997f137514eebbddfc3a1642c25ecc2ee1d7cd3e9大小5514
• One of the low-level features of C++ is the ability to specify the precise alignment of objects in memory to take maximum advantage of a specific hardware architecture. By default, the compiler aligns...
One of the low-level features of C++ is the ability to specify the precise alignment of objects in memory to take maximum advantage of a specific hardware architecture. By default, the compiler aligns class and struct members on their size value: bool and char on 1-byte boundaries, short on 2-byte boundaries, int, long, and float on 4-byte boundaries, and long long, double, and long double on 8-byte boundaries.
In most scenarios, you never have to be concerned with alignment because the default alignment is already optimal. In some cases, however, you can achieve significant performance improvements, or memory savings, by specifying a custom alignment for your data structures. Before Visual Studio 2015 you could use the Microsoft-specific keywords __alignof and declspec(alignas) to specify an alignment greater than the default. Starting in Visual Studio 2015 you should use the C++11 standard keywords alignof and alignas for maximum code portability. The new keywords behave in the same way under the hood as the Microsoft-specific extensions. The documentation for those extensions also applies to the new keywords. For more information, see __alignof Operator and align. The C++ standard doesn't specify packing behavior for alignment on boundaries smaller than the compiler default for the target platform, so you still need to use the Microsoft #pragma pack in that case.
Use the aligned_storage class for memory allocation of data structures with custom alignments. The aligned_union class is for specifying alignment for unions with non-trivial constructors or destructors.
Alignment is a property of a memory address, expressed as the numeric address modulo a power of 2. For example, the address 0x0001103F modulo 4 is 3. That address is said to be aligned to 4n+3, where 4 indicates the chosen power of 2. The alignment of an address depends on the chosen power of 2. The same address modulo 8 is 7. An address is said to be aligned to X if its alignment is Xn+0.
CPUs execute instructions that operate on data stored in memory. The data are identified by their addresses in memory. A single datum also has a size. We call a datum naturally aligned if its address is aligned to its size. It's called misaligned otherwise. For example, an 8-byte floating-point datum is naturally aligned if the address used to identify it has an 8-byte alignment.
Compiler handling of data alignment
Compilers attempt to make data allocations in a way that prevents data misalignment.
For simple data types, the compiler assigns addresses that are multiples of the size in bytes of the data type. For example, the compiler assigns addresses to variables of type long that are multiples of 4, setting the bottom 2 bits of the address to zero.
The compiler also pads structures in a way that naturally aligns each element of the structure. Consider the structure struct x_ in the following code example:
C++Copy
struct x_
{
char a;     // 1 byte
int b;      // 4 bytes
short c;    // 2 bytes
char d;     // 1 byte
} bar[3];

The compiler pads this structure to enforce alignment naturally.
The following code example shows how the compiler places the padded structure in memory:
C++Copy
// Shows the actual memory layout
struct x_
{
char a;            // 1 byte
int b;            // 4 bytes
short c;          // 2 bytes
char d;           // 1 byte
} bar[3];

Both declarations return sizeof(struct x_) as 12 bytes.
The second declaration includes two padding elements:
char _pad0[3] to align the int b member on a 4-byte boundary.  char _pad1[1] to align the array elements of the structure struct _x bar[3]; on a four-byte boundary.
The padding aligns the elements of bar[3] in a way that allows natural access.
The following code example shows the bar[3] array layout:
OutputCopy
adr offset   element
------   -------
0x0000   char a;         // bar[0]
0x0004   int b;
0x0008   short c;
0x000a   char d;

0x000c   char a;         // bar[1]
0x0010   int b;
0x0014   short c;
0x0016   char d;

0x0018   char a;         // bar[2]
0x001c   int b;
0x0020   short c;
0x0022   char d;

alignof and alignas
The alignas type specifier is a portable, C++ standard way to specify custom alignment of variables and user defined types. The alignof operator is likewise a standard, portable way to obtain the alignment of a specified type or variable.
Example
You can use alignas on a class, struct or union, or on individual members. When multiple alignas specifiers are encountered, the compiler will choose the strictest one, (the one with the largest value).
C++Copy
// alignas_alignof.cpp
// compile with: cl /EHsc alignas_alignof.cpp
#include <iostream>

struct alignas(16) Bar
{
int i;       // 4 bytes
int n;      // 4 bytes
alignas(4) char arr[3];
short s;          // 2 bytes
};

int main()
{
std::cout << alignof(Bar) << std::endl; // output: 16
}
展开全文
• 这是AAF最初发布的地方。 有关最新更新，请转到下面指示的主页。 它在GitHub上，因此更容易报告错误。 感谢您选择AAF，如果有任何疑问或问题，请在我的Github页面上发表评论。
• Face Alignment at 3000 FPS via Regressing Local Binary Features.pdf
• 人脸landmark识别和人脸对齐alignment的代码
• from alignment import multi_sequence_alignment sequences = [ 'the quick fox jumps over the dog' . split (), 'the brown fox jumps over the lazy dog' . split (), 'the clever fox jumps over the lazy ...
• 全局子序列比对 Global Sequence Alignment
• seetaface分为FaceDetection（人脸检测）、FaceAlignment（人脸对齐）、FaceIdentification（人脸识别）三个模块，三个模块相互独立，综合利用起来即可实现最终的人脸识别功能。
• SelfSAGCN Self-Supervised Semantic Alignment for Graph Convolution Network

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