33 comments (33 comments)27 reactions (27 reactions)0 assignees (0 assignees)Python6,120 stars (6,120 stars)2,102 forks (2,102 forks)batch import
enhancementhelp wanted
Description
https://pjreddie.com/darknet/yolo/
Can I use YOLOv3 cfg/weights with darkflow correctly?
Contributor guide
- Tech stack
- pythontensorflow
- 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.
- 4
- 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.
- unclear
- Prerequisites
- YOLO architecturedarkflow codebaseTensorFlowdarknet cfg format
- Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
- 15
- Research direction
- Analyze the current YOLOv2 implementation in darkflow (e.g., darkflow/darkflow/net/yolo.py) to understand how cfg and weights are parsed. Compare YOLOv3's architecture (https://pjreddie.com/darknet/yolo/) to identify required changes in layer parsing and network construction. Check the issue comments (#665) for any guidance or attempts from the community. Review the darknet repository for YOLOv3 cfg and weights formats.