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feat(opendataset): add dataloader for VOC2012Detection dataset #830

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11 changes: 11 additions & 0 deletions tensorbay/opendataset/VOC2012Detection/__init__.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,11 @@
#!/usr/bin/env python3
#
# Copyright 2021 Graviti. Licensed under MIT License.
#
# pylint: disable=invalid-name

"""Dataloader of VOC2012Detection."""

from .loader import VOC2012Detection

__all__ = ["VOC2012Detection"]
32 changes: 32 additions & 0 deletions tensorbay/opendataset/VOC2012Detection/catalog.json
Original file line number Diff line number Diff line change
@@ -0,0 +1,32 @@
{
"BOX2D": {
"categories": [
{ "name": "aeroplane" },
{ "name": "bicycle" },
{ "name": "bird" },
{ "name": "boat" },
{ "name": "bottle" },
{ "name": "bus" },
{ "name": "car" },
{ "name": "cat" },
{ "name": "chair" },
{ "name": "cow" },
{ "name": "diningtable" },
{ "name": "dog" },
{ "name": "horse" },
{ "name": "motorbike" },
{ "name": "person" },
{ "name": "pottedplant" },
{ "name": "sheep" },
{ "name": "sofa" },
{ "name": "train" },
{ "name": "tvmonitor" }
],
"attributes": [
{ "name": "difficult", "type": "boolean" },
{ "name": "occluded", "type": "boolean" },
{ "name": "pose", "enum": ["Frontal", "Left", "Rear", "Right", "Unspecified"] },
{ "name": "truncated", "type": "boolean" }
]
}
}
104 changes: 104 additions & 0 deletions tensorbay/opendataset/VOC2012Detection/loader.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,104 @@
#!/usr/bin/env python3
#
# Copyright 2021 Graviti. Licensed under MIT License.
#
# pylint: disable=invalid-name, missing-module-docstring

import os
import typing
from xml.etree import ElementTree

from ...dataset import Data, Dataset
from ...label import LabeledBox2D

_SEGMENT_NAMES = (
"train",
"trainval",
"val",
)
_BOOLEAN_ATTRIBUTES = {"occluded", "pose", "truncated"}
DATASET_NAME = "VOC2012Detection"


def VOC2012Detection(path: str) -> Dataset:
"""Dataloader of the 'VOC2012Detection'_ dataset.

.. _VOC2012Detection: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/

The file structure should be like::

<path>
Annotations/
<image_name>.xml
...
JPEGImages/
<image_name>.jpg
...
ImageSets/
Main/
train.txt
trainval.txt
val.txt
...
...
...

Arguments:
path: The root directory of the dataset.

Returns:
Loaded :class: `~tensorbay.dataset.dataset.Dataset` instance.

"""
paths = {
"Annotations": os.path.join(path, "Annotations"),
"Image": os.path.join(path, "JPEGImages"),
"Main": os.path.join(path, "ImageSets", "Main"),
}

dataset = Dataset(DATASET_NAME)
dataset.load_catalog("catalog.json")

for segment_name in _SEGMENT_NAMES:
segment = dataset.create_segment(segment_name)
with open(os.path.join(paths["Main"], f"{segment_name}.txt")) as fp:
for filename in fp:
filename = filename.strip()
segment.append(_get_data(filename, paths))
return dataset


def _get_data(filename: str, paths: typing.Dict[str, str]) -> Data:
"""Get all information of the datum corresponding to filename.

Arguments:
filename: The filename of the data.
paths: The dictionary includes paths.

Returns:
Data: class: `~tensorbay.dataset.data.Data` instance.

"""
data = Data(os.path.join(paths["Image"], f"{filename}.jpg"))
data.label.box2d = []
tree = ElementTree.parse(os.path.join(paths["Annotations"], f"{filename}.xml"))
for obj in tree.findall("object"):
attributes = {}
for child in obj:
if child.tag == "name":
category = child.text
elif child.tag == "bndbox":
box = (
int(child.find("xmin").text), # type:ignore[arg-type, union-attr]
int(child.find("ymin").text), # type:ignore[arg-type, union-attr]
int(child.find("xmax").text), # type:ignore[arg-type, union-attr]
int(child.find("ymax").text), # type:ignore[arg-type, union-attr]
)
elif child.tag == "pose":
attributes[child.tag] = child.text
elif child.tag in _BOOLEAN_ATTRIBUTES:
attributes[child.tag] = bool(
int(child.text) # type:ignore[assignment, arg-type]
)
data.label.box2d.append(LabeledBox2D(*box, category=category, attributes=attributes))
return data
2 changes: 2 additions & 0 deletions tensorbay/opendataset/__init__.py
Original file line number Diff line number Diff line change
@@ -44,6 +44,7 @@
from .THUCNews import THUCNews
from .TLR import TLR
from .UAVDT import UAVDT
from .VOC2012Detection import VOC2012Detection
from .WIDER_FACE import WIDER_FACE

__all__ = [
@@ -91,4 +92,5 @@
"UAVDT",
"WIDER_FACE",
"COVID_CT",
"VOC2012Detection",
]