Instructions to use Emreuludasdemir/teknofest2026-task3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LightGlue
How to use Emreuludasdemir/teknofest2026-task3 with LightGlue:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 932 Bytes
699f3cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | from __future__ import annotations
from src.core.frame_state import CanonicalTranslation, FrameEnvelope, FrameResult
def build_empty_result(frame: FrameEnvelope) -> FrameResult:
return FrameResult(frame_url=frame.frame_url)
def build_protocol_placeholder_result(frame: FrameEnvelope, _: bytes | None = None) -> FrameResult:
"""Gercek inference baglanana kadar protokol smoke testi icin kullanilir."""
result = build_empty_result(frame)
if str(frame.health_status) == "1":
result.detected_translations.append(frame.ground_truth_translation(source="echo_ground_truth"))
else:
result.detected_translations.append(
CanonicalTranslation(
translation_x=0.0,
translation_y=0.0,
translation_z=0.0,
source="placeholder_fallback",
)
)
result.diagnostics["processor"] = "placeholder"
return result
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