Madhavan Iyengar
commited on
Commit
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253562e
1
Parent(s):
601f3a9
try to get decimal points
Browse files- app.py +1 -1
- src/about.py +3 -3
app.py
CHANGED
@@ -29,7 +29,7 @@ from src.display.utils import (
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from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO, TOKEN
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from src.populate import get_evaluation_queue_df, get_leaderboard_df
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from src.submission.submit import add_new_eval
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-
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def restart_space():
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API.restart_space(repo_id=REPO_ID)
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from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO, TOKEN
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from src.populate import get_evaluation_queue_df, get_leaderboard_df
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from src.submission.submit import add_new_eval
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pd.set_option('display.float_format', '{:.2f}'.format)
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def restart_space():
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API.restart_space(repo_id=REPO_ID)
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src/about.py
CHANGED
@@ -42,9 +42,9 @@ TITLE = """<h1 align="center" id="space-title">3D-POPE Leaderboard</h1>"""
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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to accurately identify the presence or absence of objects in a given 3D scene.
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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#### This is the official leaderboard for the 3D Polling-based Object Probing Evaluation (3D-POPE) benchmark.
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###### 3D-POPE is designed to assess a model's ability to accurately identify the presence or absence of objects in a given 3D scene.
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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