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S23DR_solution_2025
donquicode/S23DR_solution_2025
S23DR_solution_2025 is a machine learning model from donquicode. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the 4th place solution for the S23DR 2025 Challenge. For more details, refer to the writeup included in this repository.
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At a glance
- Access
- Public
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025
- SHA
- 4999c456
Model card
From the Hugging Face model README
S23DR 2025 Challenge: 4th Place Solution
This repository contains the 4th place solution for the S23DR 2025 Challenge. For more details, refer to the writeup included in this repository.
Approach
The solution is a fully handcrafted pipeline based on classical computer vision and geometry. It builds on the official baseline with improvements in edge detection, depth assignment, and 3D merging. No learned models were used.
Final Score
- HSS Mean: 0.3309
- Corner F1: 0.4310
- Edge IOU: 0.2773
How to Run
The competition platform executes script.py to generate predictions. To run locally, you would need a dataset entry and could call the predict_wireframe function from solution.py.
File Structure
solution.py: Contains the main logic for the wireframe prediction pipeline.script.py: The entry point script for the Hugging Face competition platform.requirements.txt: Lists all Python dependencies.hoho2025/: A helper module containing color mappings.
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025