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import os |
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import tarfile |
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from tqdm import tqdm |
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ROOT_DIR = os.path.dirname(__file__) |
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DATASET_DIR=os.path.join(ROOT_DIR, "dataset") |
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ANNOTATIONS_DIR=os.path.join(ROOT_DIR, "dataset", "annotations") |
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def get_supported_resolutions(): |
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files = [file.split('_')[0] for file in os.listdir(ROOT_DIR) if file.endswith('.tar.gz') and 'annotations' not in file] |
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return files |
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def extract_tar_file(tar_path, extract_path): |
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with tarfile.open(tar_path, 'r:gz') as tar: |
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members = tar.getmembers() |
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for member in tqdm(members, desc=f"Extracting {os.path.basename(tar_path)}"): |
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tar.extract(member, path=extract_path) |
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def check_and_create_dir(directory): |
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if not os.path.exists(directory): |
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os.makedirs(directory) |
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def get_annotations_list(): |
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annotations_dir = os.path.join(ANNOTATIONS_DIR, "single_frames", "000000", "annotations") |
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annotations_list = [] |
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for file in os.listdir(annotations_dir): |
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if file.endswith(".json"): |
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annotations_list.append(file) |
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return annotations_list |
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def get_annotated_files_list(): |
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annotated_files_dir = os.path.join(ANNOTATIONS_DIR, "single_frames") |
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annotated_files_list = os.listdir(annotated_files_dir) |
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return annotated_files_list |
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import json |
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orig_width = 3840 |
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orig_height = 2160 |
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def extract_tar_file(tar_path, extract_path): |
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with tarfile.open(tar_path, 'r:gz') as tar: |
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members = tar.getmembers() |
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for member in tqdm(members, desc=f"Extracting {os.path.basename(tar_path)}"): |
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tar.extract(member, path=extract_path) |
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def normalize_coordinates(coords, orig_width, orig_height, new_width, new_height): |
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scale_x = new_width / orig_width |
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scale_y = new_height / orig_height |
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return [(x * scale_x / new_width, y * scale_y / new_height) for x, y in coords] |
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def convert_lane_annotations_to_yolo_seg_format(annotation, class_mapping, new_width, new_height, orig_width=3840, orig_height=2160): |
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yolo_annotations = [] |
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for item in annotation: |
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properties = item.get('properties') |
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if not properties: |
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return None |
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obj_class = properties.get('class') |
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if not obj_class: |
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return None |
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if obj_class in class_mapping: |
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class_index = class_mapping[obj_class] |
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geometry = item.get('geometry') |
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if not geometry: |
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return None |
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coords = geometry.get('coordinates') |
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if not coords or not coords[0]: |
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return None |
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normalized_coords = normalize_coordinates(coords[0], orig_width, orig_height, new_width, new_height) |
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yolo_annotation = f"{class_index} " + " ".join([f"{x} {y}" for x, y in normalized_coords]) |
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yolo_annotations.append(yolo_annotation) |
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return yolo_annotations if yolo_annotations else None |
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if __name__ == "__main__": |
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annotations = [ |
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{"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"}}, |
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{"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"}}, |
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] |
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new_width = 640 |
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new_height = 360 |
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yolo_annotations = convert_lane_annotations_to_yolo_seg_format(annotations, new_width, new_height, orig_width, orig_height) |
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output_file = "annotations.txt" |
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with open(output_file, "w") as file: |
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for annotation in yolo_annotations: |
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file.write(f"{annotation}\n") |
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