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#!/bin/bash |
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d='../argoverse/' |
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mkdir $d |
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url=https://argoverse-hd.s3.us-east-2.amazonaws.com/ |
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f=Argoverse-HD-Full.zip |
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curl -L $url$f -o $f && unzip -q $f -d $d && rm $f & |
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wait |
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cd ../argoverse/Argoverse-1.1/ |
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ln -s tracking images |
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cd ../Argoverse-HD/annotations/ |
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python3 - "$@" <<END |
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import json |
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from pathlib import Path |
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annotation_files = ["train.json", "val.json"] |
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print("Converting annotations to YOLOv5 format...") |
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for val in annotation_files: |
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a = json.load(open(val, "rb")) |
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label_dict = {} |
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for annot in a['annotations']: |
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img_id = annot['image_id'] |
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img_name = a['images'][img_id]['name'] |
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img_label_name = img_name[:-3] + "txt" |
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cls = annot['category_id'] # instance class id |
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x_center, y_center, width, height = annot['bbox'] |
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x_center = (x_center + width / 2) / 1920. # offset and scale |
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y_center = (y_center + height / 2) / 1200. # offset and scale |
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width /= 1920. # scale |
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height /= 1200. # scale |
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img_dir = "./labels/" + a['seq_dirs'][a['images'][annot['image_id']]['sid']] |
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Path(img_dir).mkdir(parents=True, exist_ok=True) |
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if img_dir + "/" + img_label_name not in label_dict: |
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label_dict[img_dir + "/" + img_label_name] = [] |
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label_dict[img_dir + "/" + img_label_name].append(f"{cls} {x_center} {y_center} {width} {height}\n") |
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for filename in label_dict: |
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with open(filename, "w") as file: |
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for string in label_dict[filename]: |
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file.write(string) |
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END |
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mv ./labels ../../Argoverse-1.1/ |
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