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detect_fruits.py
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detect_fruits.py
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import json
from pathlib import Path
from typing import Dict
import click
import cv2
from tqdm import tqdm
def detect_fruits(img_path: str) -> Dict[str, int]:
"""Fruit detection function, to implement.
Parameters
----------
img_path : str
Path to processed image.
Returns
-------
Dict[str, int]
Dictionary with quantity of each fruit.
"""
img = cv2.imread(img_path, cv2.IMREAD_COLOR)
#TODO: Implement detection method.
apple = 0
banana = 0
orange = 0
return {'apple': apple, 'banana': banana, 'orange': orange}
@click.command()
@click.option('-p', '--data_path', help='Path to data directory', type=click.Path(exists=True, file_okay=False,
path_type=Path), required=True)
@click.option('-o', '--output_file_path', help='Path to output file', type=click.Path(dir_okay=False, path_type=Path),
required=True)
def main(data_path: Path, output_file_path: Path):
img_list = data_path.glob('*.jpg')
results = {}
for img_path in tqdm(sorted(img_list)):
fruits = detect_fruits(str(img_path))
results[img_path.name] = fruits
with open(output_file_path, 'w') as ofp:
json.dump(results, ofp)
if __name__ == '__main__':
main()