| |
| |
| 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 |
|
|
|
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| |
|
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|
|
|
| |
| |
| |
| 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__": |
| |
| 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"}}, |
| |
| ] |
|
|
| new_width = 640 |
| new_height = 360 |
|
|
| yolo_annotations = convert_lane_annotations_to_yolo_seg_format(annotations, new_width, new_height, orig_width, orig_height) |
|
|
| |
| output_file = "annotations.txt" |
| with open(output_file, "w") as file: |
| for annotation in yolo_annotations: |
| file.write(f"{annotation}\n") |
|
|
