test

tomatotest.py

@@ -4,6 +4,8 @@ from datasets import GeneratorBasedBuilder, DatasetInfo, Features, SplitGenerato
 import datasets
 import numpy as np
 import h5py
+from huggingface_hub import HfFileSystem
+
 class CustomConfig(datasets.BuilderConfig):
     def __init__(self, **kwargs):
         super(CustomConfig, self).__init__(**kwargs)
@@ -16,9 +18,10 @@ _metadata_urls = {
 
 class RGBSemanticDepthDataset(GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        CustomConfig(name="all", version="1.0.0", description="load both segmentation and depth"),
-        CustomConfig(name="depth", version="1.0.0", description="only load depth"),
-        CustomConfig(name="seg", version="1.0.0", description="only load segmentation"),
+        CustomConfig(name="full", version="1.0.0", description="load both segmentation and depth (for all tar files, 160GB)"),
+        CustomConfig(name="sample", version="1.0.0", description="load both segmentation and depth (for 1 tar file, 870MB)"),
+        CustomConfig(name="depth", version="1.0.0", description="only load depth (sample)"),
+        CustomConfig(name="seg", version="1.0.0", description="only load segmentation (sample)"),
     ]    # Configs initialization
     BUILDER_CONFIG_CLASS = CustomConfig
     def _info(self):
@@ -54,6 +57,7 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
         return Image.open(io.BytesIO(bytes_stream))
     
     def _split_generators(self, dl_manager):
+        print(self.config.dataset_type)
         archives = dl_manager.download({"train":["data/images_1730238419.175364.tar"],
                                         "val":["data/images_1730238419.175364.tar"]})
         split_metadata = dl_manager.download(_metadata_urls)
@@ -93,4 +97,9 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
                     "left_seg": left_seg,
                     "left_depth": left_depth,
                     "right_depth": right_depth,
-                }
+                }
+    def _get_dataset_filenames(self):
+        fs = HfFileSystem()
+        all_files = fs.ls("datasets/xingjianli/tomatotest/data")
+        filenames = ['/'.join(f['name'].split('/')[-2:]) for f in all_files]
+        return filenames