DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
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.
clear
Prerequisites
TensorFlowPythonImage processing
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
25
Research direction
Examine the linked Torch and PyTorch Im2Text implementations to understand the architecture. Study the OpenNMT tf codebase, particularly the existing modules like the encoder in onmt/modules, to determine where to add the image encoder. No existing comments or PRs provide additional context, so focus on replicating the approach within the TensorFlow framework.