def from_json(cls, data):
'''
The function from_json convert Rectangle from json format to Rectangle class object. If json format is not correct it generate exception error.
:param data: input Rectangle in json format
:return: Rectangle class object
'''
validation.validate_geometry_points_fields(data)
labeler_login = data.get(LABELER_LOGIN, None)
updated_at = data.get(UPDATED_AT, None)
created_at = data.get(CREATED_AT, None)
sly_id = data.get(ID, None)
class_id = data.get(CLASS_ID, None)
exterior = data[POINTS][EXTERIOR]
if len(exterior) != 2:
raise ValueError(
'"exterior" field must contain exactly two points to create Rectangle object.'
)
[top, bottom] = sorted([exterior[0][1], exterior[1][1]])
[left, right] = sorted([exterior[0][0], exterior[1][0]])
return cls(top=top,
left=left,
bottom=bottom,
right=right,
sly_id=sly_id,
class_id=class_id,
labeler_login=labeler_login,
updated_at=updated_at,
created_at=created_at)
def from_json(cls, data):
validation.validate_geometry_points_fields(data)
exterior = data[POINTS][EXTERIOR]
if len(exterior) != 1:
raise ValueError(
'"exterior" field must contain exactly one point to create "PointLocation" object.'
)
return cls(row=exterior[0][1], col=exterior[0][0])
def from_json(cls, data):
validation.validate_geometry_points_fields(data)
exterior = data[POINTS][EXTERIOR]
if len(exterior) != 2:
raise ValueError(
'"exterior" field must contain exactly two points to create Rectangle object.'
)
[top, bottom] = sorted([exterior[0][1], exterior[1][1]])
[left, right] = sorted([exterior[0][0], exterior[1][0]])
return cls(top=top, left=left, bottom=bottom, right=right)
def from_json(cls, data):
'''
The function from_json convert PointLocation from json format to PointLocation class object.
:param data: input PointLocation in json format
:return: PointLocation class object
'''
validation.validate_geometry_points_fields(data)
exterior = data[POINTS][EXTERIOR]
if len(exterior) != 1:
raise ValueError(
'"exterior" field must contain exactly one point to create "PointLocation" object.'
)
return cls(row=exterior[0][1], col=exterior[0][0])
def from_json(cls, data):
validation.validate_geometry_points_fields(data)
labeler_login = data.get(LABELER_LOGIN, None)
updated_at = data.get(UPDATED_AT, None)
created_at = data.get(CREATED_AT, None)
sly_id = data.get(ID, None)
class_id = data.get(CLASS_ID, None)
return cls(exterior=row_col_list_to_points(data[POINTS][EXTERIOR],
flip_row_col_order=True),
sly_id=sly_id,
class_id=class_id,
labeler_login=labeler_login,
updated_at=updated_at,
created_at=created_at)
def from_json(cls, data):
'''
The function from_json convert Poligon from json format to Poligon class object. If json format is not correct it generate exception error.
:param data: input Poligon in json format
:return: Poligon class object
'''
validation.validate_geometry_points_fields(data)
labeler_login = data.get(LABELER_LOGIN, None)
updated_at = data.get(UPDATED_AT, None)
created_at = data.get(CREATED_AT, None)
sly_id = data.get(ID, None)
class_id = data.get(CLASS_ID, None)
return cls(exterior=row_col_list_to_points(data[POINTS][EXTERIOR], flip_row_col_order=True),
interior=[row_col_list_to_points(i, flip_row_col_order=True) for i in data[POINTS][INTERIOR]],
sly_id=sly_id, class_id=class_id, labeler_login=labeler_login, updated_at=updated_at, created_at=created_at)
def from_json(cls, data):
validation.validate_geometry_points_fields(data)
labeler_login = data.get(LABELER_LOGIN, None)
updated_at = data.get(UPDATED_AT, None)
created_at = data.get(CREATED_AT, None)
sly_id = data.get(ID, None)
class_id = data.get(CLASS_ID, None)
exterior = data[POINTS][EXTERIOR]
if len(exterior) != 2:
raise ValueError(
'"exterior" field must contain exactly two points to create Rectangle object.'
)
[top, bottom] = sorted([exterior[0][1], exterior[1][1]])
[left, right] = sorted([exterior[0][0], exterior[1][0]])
return cls(top=top,
left=left,
bottom=bottom,
right=right,
sly_id=sly_id,
class_id=class_id,
labeler_login=labeler_login,
updated_at=updated_at,
created_at=created_at)
def from_json(cls, data):
validation.validate_geometry_points_fields(data)
return cls(exterior=row_col_list_to_points(data[POINTS][EXTERIOR], flip_row_col_order=True),
interior=[row_col_list_to_points(i, flip_row_col_order=True) for i in data[POINTS][INTERIOR]])