Python script, ASCII text executable
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import argparse
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import sys
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import json
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from os import path, environ
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from PIL import Image
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parser = argparse.ArgumentParser(description="Put a YOLO annotation into a VIA-formatted annotation file")
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parser.add_argument("image", type=str, help="Path to the image")
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parser.add_argument("annotation", type=str, help="Path to the YOLO annotation file, automatically determined from the image path if not provided")
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parser.add_argument("via-location", type=str, help="Path to the VIA installation")
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parser.add_argument("path", type=str, help="Path to put the image in, relative to the VIA search path")
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args = parser.parse_args()
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via_json = json.load(sys.stdin) # we can pipe the JSON from the VIA tool into this script
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image_path = args.image
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annotation_path = args.annotation or path.splitext(image_path)[0] + ".txt"
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image_data = via_json["_via_img_metadata"]
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via_location = args.via_location or "../via"
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if not path.exists(image_path):
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raise FileNotFoundError(f"Image {image_path} not found")
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if not path.exists(annotation_path):
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raise FileNotFoundError(f"Annotation {annotation_path} not found. Please specify it manually if it's in a different location")
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with open(annotation_path, "r") as f:
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regions = []
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for line in f:
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klass, cx, cy, w, h = [float(i) for i in line.split()]
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# Since our project considers the class to be the directory, and classes may change, we discard the class index
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image = Image.open(image_path)
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width, height = image.size
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region = {
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"shape_attributes": {
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"name": "rect",
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"x": int((cx - w / 2) * width),
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"y": int((cy - h / 2) * height),
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"width": int(w * width),
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"height": int(h * height),
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},
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"region_attributes": {}
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}
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image_data.append({
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"filename": path.join(args.path, path.basename(image_path)),
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"size": -1,
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"regions": regions,
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})
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via_json["_via_img_metadata"] = image_data
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print(json.dumps(via_json))
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