Merge branch 'main' into 22-separate-our-annotation-file-into-train-v…

…al-test

configs/datasets/ds_uniformsample_existencelabel.py

@@ -1,22 +1,18 @@
-from datasets.transforms.label_strategy import HQFD_LABEL_DESCRIPTION
-
 custom_imports = dict(imports="datasets", allow_failed_imports=False)
 type = "HighQualityFallDataset"
 sampling_strategy = dict(type="UniformSampling", clip_len=10)
-label_strategy = dict(type="ExistenceLabel", label_description=HQFD_LABEL_DESCRIPTION)
+label_strategy = dict(
+ type="ExistenceLabel",
+ label_description=dict(
+ names=["fall", "lying", "other"],
+ start_timestamp_names=["fall_start", "lying_start"],
+ end_timestamp_names=["fall_end", "lying_end"],
+ visible_names=["fall_visible", "lying_visible"],
+ other_class=2,
+ ),
+)
 ann_file = "tests/test_data/test_annotation.csv"
-pipeline = [
- dict(type="DecordInit"),
- dict(type="ClipVideo"),
- dict(type="SampleFrames", clip_len=16, frame_interval=4, num_clips=1),
- dict(type="DecordDecode"),
- dict(type="Resize", scale=(-1, 224)),
- dict(type="RandomResizedCrop"),
- dict(type="Resize", scale=(224, 224), keep_ratio=False),
- dict(type="Flip", flip_ratio=0.5),
- dict(type="FormatShape", input_format="NCTHW"),
- dict(type="PackActionInputs"),
-] # type: ignore
+pipeline = [] # type: ignore
 multiclass = True
 num_classes = 3
 test_mode = True