dxl952@case.edu commited on
Commit ·
cc54230
1
Parent(s): 32db2ad
update
Browse files- Causal3D.py +26 -6
Causal3D.py
CHANGED
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@@ -4,7 +4,6 @@ import os
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from pathlib import Path
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from tqdm import tqdm
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print("✅ Custom Causal3D loaded: outside Causal3D.py")
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_CITATION = """\
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@article{liu2025causal3d,
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title={CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data},
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@@ -66,15 +65,37 @@ class Causal3D(datasets.GeneratorBasedBuilder):
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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parts = self.config.name.split("_", 2)
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category = parts[0] + "_" + parts[1]
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if category not in ["real_scenes", "hypothetical_scenes"]:
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raise ValueError(f"Invalid category '{category}'.
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scene = parts[2]
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return [
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datasets.SplitGenerator(
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@@ -82,7 +103,6 @@ class Causal3D(datasets.GeneratorBasedBuilder):
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gen_kwargs={"data_dir": data_dir},
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)
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]
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def _generate_examples(self, data_dir):
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def color(text, code):
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return f"\033[{code}m{text}\033[0m"
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from pathlib import Path
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from tqdm import tqdm
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_CITATION = """\
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@article{liu2025causal3d,
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title={CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data},
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citation=_CITATION,
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)
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# def _split_generators(self, dl_manager):
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# parts = self.config.name.split("_", 2)
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# category = parts[0] + "_" + parts[1] # real_scenes or hypothetical_scenes
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# if category not in ["real_scenes", "hypothetical_scenes"]:
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# raise ValueError(f"Invalid category '{category}'. Must be one of ['real_scenes', 'hypothetical_scenes']")
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# scene = parts[2]
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# data_dir = os.path.join(category, scene)
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# return [
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# datasets.SplitGenerator(
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# name=datasets.Split.TRAIN,
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# gen_kwargs={"data_dir": data_dir},
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# )
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# ]
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def _split_generators(self, dl_manager):
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parts = self.config.name.split("_", 2)
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category = parts[0] + "_" + parts[1]
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if category not in ["real_scenes", "hypothetical_scenes"]:
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raise ValueError(f"Invalid category '{category}'.")
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scene = parts[2]
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scene_path = os.path.join(category, scene)
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# ✅ 自动判断:远程则下载并解压,本地则直接使用
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if os.path.exists(scene_path): # 本地路径直接用
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data_dir = scene_path
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else: # Hub 上运行或没有本地数据,则下载
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data_dir = dl_manager.download_and_extract(scene_path)
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return [
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datasets.SplitGenerator(
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gen_kwargs={"data_dir": data_dir},
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)
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]
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def _generate_examples(self, data_dir):
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def color(text, code):
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return f"\033[{code}m{text}\033[0m"
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