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Restore MMDetection evaluation datasets from pickled state #3270

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Restore MMDetection evaluation datasets from pickled state #3270

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8169d8e
Restore MMDet evaluation dataset state
dajiaohuang Oct 7, 2026
347ac5a
Persist MMDet metrics format for state restore
dajiaohuang Oct 7, 2026
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11 changes: 6 additions & 5 deletions python/deeplake/integrations/mmdet/mmdet_dataset_.py
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Original file line number Diff line number Diff line change
Expand Up @@ -452,6 +452,7 @@ def __init__(
self.batch_size = batch_size
self.tensors_dict = tensors_dict
self.bbox_info = bbox_info
self.metrics_format = metrics_format
if self.mode in ("val", "test"):
self.images = self._get_images(self.tensors_dict["images_tensor"])
masks = self._get_masks(self.tensors_dict.get("masks_tensor", None))
Expand All @@ -467,7 +468,6 @@ def __init__(
self.labels = self._get_labels(self.tensors_dict["labels_tensor"])
self.iscrowds = self._get_iscrowds(self.tensors_dict.get("iscrowds"))
self.CLASSES = self.get_classes(self.tensors_dict["labels_tensor"])
self.metrics_format = metrics_format
coco_style_bbox = convert_to_coco_format(
self.bboxes, bbox_format, self.images
)
Expand Down Expand Up @@ -499,6 +499,7 @@ def __getstate__(self):
"pipeline": self.pipeline,
"num_gpus": self.num_gpus,
"batch_size": self.batch_size,
"metrics_format": self.metrics_format,
"tensors_dict": self.tensors_dict,
"bbox_info": self.bbox_info,
}
Expand All @@ -514,6 +515,7 @@ def __setstate__(self, state):
self.pipeline = state["pipeline"]
self.num_gpus = state["num_gpus"]
self.batch_size = state["batch_size"]
self.metrics_format = state["metrics_format"]
self.tensors_dict = state["tensors_dict"]
self.bbox_info = state["bbox_info"]

Expand All @@ -528,18 +530,17 @@ def __setstate__(self, state):
self.masks_type_kind = masks_type_kind
self.masks = masks[:]
self.bboxes = self._get_bboxes(self.tensors_dict["boxes_tensor"])
bbox_format = get_bbox_format(first_non_empty(self.bboxes), bbox_info)
bbox_format = get_bbox_format(first_non_empty(self.bboxes), self.bbox_info)
self.labels = self._get_labels(self.tensors_dict["labels_tensor"])
self.iscrowds = self._get_iscrowds(self.tensors_dict.get("iscrowds"))
self.CLASSES = self.get_classes(self.tensors_dict["labels_tensor"])
self.metrics_format = metrics_format
coco_style_bbox = convert_to_coco_format(
self.bboxes, bbox_format, self.images
)

if self.metrics_format == "COCO":
self.evaluator = mmdet_utils_.COCODatasetEvaluater(
pipeline,
self.pipeline,
classes=self.CLASSES,
deeplake_dataset=self.dataset,
imgs=self.images,
Expand All @@ -549,7 +550,7 @@ def __setstate__(self, state):
labels=self.labels,
iscrowds=self.iscrowds,
bbox_format=bbox_format,
num_gpus=num_gpus,
num_gpus=self.num_gpus,
)
else:
self.evaluator = None
Expand Down