Stack based on gnu 2.9 底层支撑的Sequence可以为deque, list, vector Achieve /* typedef typename Sequence::value_type value_type; typedef typename Sequence::size_type size_type; typedef ty...

Queue based on gnu 2.9 底层支撑的Sequence可以为deque, list Achieve queue /* typedef typename Sequence::value_type value_type; typedef typename Sequence::size_type size_type; typedef type...

CLIP Learning Transferable Visual Models From Natural Language Supervision https://github.com/OpenAI/CLIP Main Contributions Contrastive pre-training Zero-shot prediction Pseudocode...

Vector based on gnu 2.9 Container vector /* typedef T value_type; typedef value_type* pointer; typedef const value_type* const_pointer; typedef value_type* iterator; typedef const value_type* ...

Array based on gnu 4.9 Container array traits template<typename _Tp, std::size_t _Nm> struct __array_traits { // C标准的数组 typedef _Tp _Type[_Nm]; // 给一个数组和要查找的位置, 返回数组在该位置的引用 ...

List based on gnu 2.9 双向循环链表 Container list node template <class T> struct __list_node { typedef void* void_pointer; void_pointer next; void_pointer prev; T data; }; list /* ...

WinCLIP WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation 无官方代码, 参考代码链接 https://github.com/caoyunkang/WinClip https://github.com/zqhang/Accurate-WinCLIP-pytorch ...

SAM Segment Anything https://segment-anything.com Main Contributions data engine (dataset SA-1B) phase 1: 完全人工标注的数据集, 训练sam phase 2: 半自动阶段, 输入图A, sam输出一个mask, 人工在输出mask基础...

AnomalyCLIP ANOMALYCLIP: OBJECT-AGNOSTIC PROMPT LEARN- ING FOR ZERO-SHOT ANOMALY DETECTION https://github.com/zqhang/AnomalyCLIP Main Contributions AnomalyCLIP architecture object-agnos...

Linux 面试题 分析日志t.log(访问量), 将各个ip地址截取, 并统计出现次数, 并按从大到小排序(腾讯) t.log文件内容为 http://ip/file.html cut -d split flag -f num query 切割字符串 cut 不能切割空格符 ...