def __init__(self,
core_dataset_name='buildchange',
src_version='v0',
dst_version='v1',
imageset='shanghai',
subimage_size=1024,
gap=512,
num_processor=16):
self.core_dataset_name = core_dataset_name
self.src_version = src_version
self.dst_version = dst_version
self.imageset = imageset
self.subimage_size = subimage_size
self.gap = gap
self.image_path = './data/{}/{}/{}/images'.format(core_dataset_name, src_version, imageset)
self.merged_shp_path = './data/{}/{}/{}/merged_shp'.format(core_dataset_name, src_version, imageset)
self.geo_path = './data/{}/{}/{}/geo_info'.format(core_dataset_name, src_version, imageset)
self.image_save_path = './data/{}/{}/{}/images'.format(core_dataset_name, dst_version, "{}_{}".format(imageset, subimage_size))
wwtool.mkdir_or_exist(self.image_save_path)
self.label_save_path = './data/{}/{}/{}/labels'.format(core_dataset_name, dst_version, "{}_{}".format(imageset, subimage_size))
wwtool.mkdir_or_exist(self.label_save_path)
self.shp_parser = wwtool.ShpParse()
self.pool = Pool(num_processor)
def __init__(self, rgb_file, foot_shp_file, geo_info,
pred_segmentation_file, side_shp_file, pixel_anno):
self.rgb_file = rgb_file
self.foot_shp_file = foot_shp_file
self.geo_info = geo_info
self.pred_segmentation_file = pred_segmentation_file
self.side_shp_file = side_shp_file
self.pixel_anno = pixel_anno
mask_parser = wwtool.MaskParse()
objects = mask_parser(pixel_anno, category=255)
self.ignore_polygons = [obj['polygon'] for obj in objects]
self.rgb_image = cv2.imread(rgb_file)
shp_parser = wwtool.ShpParse()
objects = shp_parser(foot_shp_file, geo_info)
self.foot_mask = cv2.imread(geo_info, 0) # annotated by floor heigh
self.foot_polygons = [obj['converted_polygon'] for obj in objects]
self.floors = [obj['converted_property']['Floor'] for obj in objects]
self.pred_segmentation = cv2.imread(pred_segmentation_file, 0)
try:
side_shp = geopandas.read_file(side_shp_file, encoding='utf-8')
self.side_annotations = [
side_coor for _, side_coor in side_shp.iterrows()
]
except:
print("Can't open this side shp file: {}".format(side_shp_file))
self.offset_and_floorheigh_list = []
def __init__(self,
core_dataset_name='buildchange',
src_version='v0',
dst_version='v1',
imageset='shanghai',
subimage_size=1024,
gap=512,
multi_processing=False,
num_processor=16,
show=False):
self.core_dataset_name = core_dataset_name
self.src_version = src_version
self.dst_version = dst_version
self.imageset = imageset
self.subimage_size = subimage_size
self.gap = gap
self.image_path = './data/{}/{}/{}/images'.format(
core_dataset_name, src_version, imageset)
self.merged_shp_path = './data/{}/{}/{}/merged_shp'.format(
core_dataset_name, src_version, imageset)
self.geo_path = './data/{}/{}/{}/geo_info'.format(
core_dataset_name, src_version, imageset)
self.pixel_anno_path = './data/{}/{}/{}/anno_v2'.format(
core_dataset_name, src_version, imageset)
self.image_save_path = './data/{}/{}/{}/images'.format(
core_dataset_name, dst_version,
"{}_{}".format(imageset, subimage_size))
if not os.path.exists(self.image_save_path):
os.makedirs(self.image_save_path)
else:
shutil.rmtree(self.image_save_path)
os.makedirs(self.image_save_path)
self.label_save_path = './data/{}/{}/{}/labels'.format(
core_dataset_name, dst_version,
"{}_{}".format(imageset, subimage_size))
if not os.path.exists(self.label_save_path):
os.makedirs(self.label_save_path)
else:
shutil.rmtree(self.label_save_path)
os.makedirs(self.label_save_path)
self.shp_parser = wwtool.ShpParse()
self.mask_parser = wwtool.MaskParse()
self.multi_processing = multi_processing
self.pool = Pool(num_processor)
self.show = show
def __init__(self,
core_dataset_name='buildchange',
src_version='v0',
dst_version='v1',
imageset='shanghai',
sub_imageset_fold='arg',
subimage_size=1024,
gap=512,
multi_processing=False,
num_processor=16,
show=False):
self.core_dataset_name = core_dataset_name
self.src_version = src_version
self.dst_version = dst_version
self.imageset = imageset
self.sub_imageset_fold = sub_imageset_fold
self.subimage_size = subimage_size
self.gap = gap
self.image_path = './data/{}/{}/{}/{}/images'.format(
core_dataset_name, src_version, imageset, sub_imageset_fold)
self.roof_shp_path = './data/{}/{}/{}/{}/roof_shp_4326'.format(
core_dataset_name, src_version, imageset, sub_imageset_fold)
self.geo_path = './data/{}/{}/{}/{}/geo_info'.format(
core_dataset_name, src_version, imageset, sub_imageset_fold)
self.pixel_anno_v2_path = './data/{}/{}/{}/{}/pixel_anno_v2'.format(
core_dataset_name, src_version, imageset, sub_imageset_fold)
self.image_save_path = './data/{}/{}/{}/{}/images'.format(
core_dataset_name, dst_version, imageset, sub_imageset_fold)
wwtool.mkdir_or_exist(self.image_save_path)
self.label_save_path = './data/{}/{}/{}/{}/labels'.format(
core_dataset_name, dst_version, imageset, sub_imageset_fold)
wwtool.mkdir_or_exist(self.label_save_path)
self.shp_parser = wwtool.ShpParse()
self.multi_processing = multi_processing
self.pool = Pool(num_processor)
self.show = show
def __setstate__(self, state):
self.__dict__.update(state)
if __name__ == '__main__':
# cities = ['shanghai', 'beijing', 'jinan', 'haerbin', 'chengdu']
# sub_imageset_folds = {'beijing': ['arg', 'google', 'ms', 'tdt'],
# 'chengdu': ['arg', 'google', 'ms', 'tdt'],
# 'haerbin': ['arg', 'google', 'ms'],
# 'jinan': ['arg', 'google', 'ms', 'tdt'],
# 'shanghai': ['arg', 'google', 'ms', 'tdt', 'PHR2016', 'PHR2017']}
cities = ['shanghai']
sub_imageset_folds = {'shanghai': ['arg']}
core_dataset_name = 'buildchange'
src_version = 'v0'
dst_version = 'v2'
sub_img_w, sub_img_h = 1024, 1024
mask_parser = wwtool.MaskParse()
shp_parser = wwtool.ShpParse()
for city in cities:
convert = Simpletxt2Json(dst_version=dst_version,
city=city,
sub_imageset_folds=sub_imageset_folds,
multi_processing=True,
num_processor=8)
convert.core()
print(f"finish processing {city}")