davisking/dlib

3D convolution and pooling

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#989 opened on Nov 30, 2017

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 (7 comments) (1 reaction) (0 assignees)C++ (12,570 stars) (3,314 forks)batch import
help wanted

Description

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?

Contributor guide

Tech stack
cpp
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
5
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
C++dlib CNN API3D convolution concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
15
Research direction
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