| import cv2
|
| import sys
|
| import argparse
|
| import numpy as np
|
| from PIL import Image
|
| from pathlib import Path
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| from matplotlib import pyplot as plt
|
| from typing import Any, Dict, List
|
| import glob
|
|
|
| from utils import load_img_to_array, show_mask
|
|
|
|
|
| def setup_args(parser):
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| parser.add_argument(
|
| "--input_img", type=str, required=True,
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| help="Path to a single input img",
|
| )
|
| parser.add_argument(
|
| "--input_mask_glob", type=str, required=True,
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| help="Glob to input masks",
|
| )
|
| parser.add_argument(
|
| "--output_dir", type=str, required=True,
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| help="Output path to the directory with results.",
|
| )
|
|
|
| if __name__ == "__main__":
|
| """Example usage:
|
| python visual_mask_on_img.py \
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| --input_img FA_demo/FA1_dog.png \
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| --input_mask_glob "results/FA1_dog/mask*.png" \
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| --output_dir results
|
| """
|
| parser = argparse.ArgumentParser()
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| setup_args(parser)
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| args = parser.parse_args(sys.argv[1:])
|
|
|
| img = load_img_to_array(args.input_img)
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| img_stem = Path(args.input_img).stem
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|
|
| mask_ps = sorted(glob.glob(args.input_mask_glob))
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|
|
| out_dir = Path(args.output_dir) / img_stem
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| out_dir.mkdir(parents=True, exist_ok=True)
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|
|
| for mask_p in mask_ps:
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| mask = load_img_to_array(mask_p)
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| mask = mask.astype(np.uint8)
|
|
|
|
|
| img_mask_p = out_dir / f"with_{Path(mask_p).name}"
|
|
|
|
|
| dpi = plt.rcParams['figure.dpi']
|
| height, width = img.shape[:2]
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| plt.figure(figsize=(width/dpi/0.77, height/dpi/0.77))
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| plt.imshow(img)
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| plt.axis('off')
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| show_mask(plt.gca(), mask, random_color=False)
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| plt.savefig(img_mask_p, bbox_inches='tight', pad_inches=0)
|
| plt.close()
|
|
|
