davisking/dlib

3D convolution and pooling

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#989 建立於 2017年11月30日

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 (7 留言) (1 反應) (0 負責人)C++ (12,570 star) (3,314 fork)batch import
help wanted

描述

I am currently looking for CNN training tools for windows with c++. dlib seems to be a good choice as the example clearly illustrate how ResNet is implemented.

However, I am looking for applications for 3D image segmentation which requires 3D pooling and convolution (somehow it is called 4D convolution in this link

This function is supported in caffe2, tensorflow and pytorch. Any plan to implement for a higher dimension CNN operations?

貢獻者指南

技術棧
cpp
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
5
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
C++dlib CNN API3D convolution concepts
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
15
研究方向
This issue requests adding 3D convolution and pooling operations to dlib's deep learning module. The discussion indicates a need for higher dimensional CNN support for tasks like 3D image segmentation. To implement, study dlib's existing convolution and pooling implementations in files like 'dlib/dnn/core.h' and 'dlib/dnn/layers.h'. Reference how other libraries (PyTorch, TensorFlow) implement 3D convolutions to guide the design. Also review the comments on the issue for further user requirements and potential integration challenges.
3D convolution and pooling · davisking/dlib#989 | Good First Issue