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############################################################################################################
## common utils
import os
import tarfile
from tqdm import tqdm
ROOT_DIR = os.path.dirname(__file__)
DATASET_DIR=os.path.join(ROOT_DIR, "dataset")
ANNOTATIONS_DIR=os.path.join(ROOT_DIR, "dataset", "annotations")
def get_supported_resolutions():
files = [file.split('_')[0] for file in os.listdir(ROOT_DIR) if file.endswith('.tar.gz') and 'annotations' not in file]
return files
def extract_tar_file(tar_path, extract_path):
with tarfile.open(tar_path, 'r:gz') as tar:
members = tar.getmembers()
for member in tqdm(members, desc=f"Extracting {os.path.basename(tar_path)}"):
tar.extract(member, path=extract_path)
def check_and_create_dir(directory):
if not os.path.exists(directory):
os.makedirs(directory)
def get_annotations_list():
annotations_dir = os.path.join(ANNOTATIONS_DIR, "single_frames", "000000", "annotations")
annotations_list = []
for file in os.listdir(annotations_dir):
if file.endswith(".json"):
annotations_list.append(file)
return annotations_list
def get_annotated_files_list():
annotated_files_dir = os.path.join(ANNOTATIONS_DIR, "single_frames")
print("Annotated files directory:", annotated_files_dir)
if not os.path.exists(annotated_files_dir):
print("The directory does not exist.")
return []
annotated_files_list = [os.path.join(annotated_files_dir, file) for file in os.listdir(annotated_files_dir)]
return annotated_files_list
############################################################################################################
##------------------------------------------------------------------------------------------------------------
############################################################################################################
### Yolo Utils
import json
orig_width = 3840
orig_height = 2160
def extract_tar_file(tar_path, extract_path):
with tarfile.open(tar_path, 'r:gz') as tar:
members = tar.getmembers()
for member in tqdm(members, desc=f"Extracting {os.path.basename(tar_path)}"):
tar.extract(member, path=extract_path)
def normalize_coordinates(coords, orig_width, orig_height, new_width, new_height):
scale_x = new_width / orig_width
scale_y = new_height / orig_height
return [(x * scale_x / new_width, y * scale_y / new_height) for x, y in coords]
def convert_lane_annotations_to_yolo_seg_format(annotation, class_mapping, new_width, new_height, orig_width=3840, orig_height=2160):
yolo_annotations = []
for item in annotation:
properties = item.get('properties')
if not properties:
return None
obj_class = properties.get('class')
if not obj_class:
return None
if obj_class in class_mapping:
class_index = class_mapping[obj_class]
geometry = item.get('geometry')
if not geometry:
return None
coords = geometry.get('coordinates')
if not coords or not coords[0]:
return None
normalized_coords = normalize_coordinates(coords[0], orig_width, orig_height, new_width, new_height)
yolo_annotation = f"{class_index} " + " ".join([f"{x} {y}" for x, y in normalized_coords])
yolo_annotations.append(yolo_annotation)
return yolo_annotations if yolo_annotations else None
if __name__ == "__main__":
# Example usage
annotations = [
{"geometry": {"coordinates": [[[1312.5311279296875, 1204.11669921875], [1313.6014404296875, 1205.66259765625], [1352.015380859375, 1198.48486328125], [1352.5618896484375, 1197.9384765625], [1352.152099609375, 1196.845703125], [1352.015380859375, 1196.7091064453125], [1312.5311279296875, 1204.11669921875]]], "type": "Polygon"}, "properties": {"annotation_uuid": "dbf4ed67-c398-49dc-9652-672b4b6749cf", "class": "lm_dashed", "coloured": False, "MultipleLaneMarkings": "Single"}},
{"geometry": {"coordinates": [[[1199.517578125, 1223.2388916015625], [1201.5904541015625, 1224.14013671875], [1260.1224365234375, 1214.2451171875], [1260.3294677734375, 1213.2098388671875], [1259.8118896484375, 1212.588623046875], [1199.3529052734375, 1222.216552734375], [1199.517578125, 1223.2388916015625]]], "type": "Polygon"}, "properties": {"annotation_uuid": "cc809a66-815f-4b21-967a-5a613dc5b3d6", "class": "lm_dashed", "coloured": False, "MultipleLaneMarkings": "Single"}},
# Add more annotations as needed...
]
new_width = 640
new_height = 360
yolo_annotations = convert_lane_annotations_to_yolo_seg_format(annotations, new_width, new_height, orig_width, orig_height)
# Write to a text file
output_file = "annotations.txt"
with open(output_file, "w") as file:
for annotation in yolo_annotations:
file.write(f"{annotation}\n")
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