83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
#!/usr/bin/python
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# -*- coding: utf-8 -*-
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import pytesseract
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from PIL import Image
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from pathlib import Path
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from datetime import datetime
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# import numpy as np
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import colorsys
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from json_extensions import save_to_json_file, load_from_json_file
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save_file = Path('all_measurements.json')
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# FOLDER = Path('C:/Mc/Dome/Telecamere/ScreenShots')
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# FOLDER = Path('C:/Mc/Dome/Telecamere/ScreenShots2')
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FOLDER = Path('C:/Mc/Dome/Telecamere/ScreenShots3')
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CROPS = {
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'batt_full': (351, 1109, 389, 101),
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'name': (175, 143, 750, 109),
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# 'batt': (48, 320, 25, 50),
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'batt': (56, 345, 9, 2),
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'perc': (83, 314, 123, 60),
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}
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def available_screenshot(base_folder: Path):
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for f in base_folder.iterdir():
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if f.is_file() and f.suffix == '.jpg' and f.stem.startswith('Screenshot') and f.stem.endswith('0a7d545a89c1640e78c89a2ce00d525b'):
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yield f
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def main(base_folder: Path, out_folder=Path('crps')):
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# for sc in sorted(available_screenshot(base_folder), key=lambda x:x.stem):
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found = False
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n = 0
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if save_file.is_file():
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measures = load_from_json_file(save_file)
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else:
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measures = []
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for sc in available_screenshot(base_folder):
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n += 1
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_, f_date, _ = sc.stem.split('_')
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dt = datetime.strptime(f_date[:-3], '%Y-%m-%d-%H-%M-%S')
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# obj = {'dt': dt}
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obj = {'epoch': dt.timestamp()}
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# if f_date != '2025-03-16-07-59-52-21':
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# continue
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# print(sc.stem)
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src_img = Image.open(sc)
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for k, crp in CROPS.items():
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x0, y0, w, h = crp
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x1 = x0 + w
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y1 = y0 + h
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cropped = src_img.crop((x0, y0, x1, y1))
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if k == 'batt':
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# new_name = f'{k}_{f_date}.png'
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# cropped.save(out_folder / new_name)
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tot, grey = 0, 0
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for p in cropped.getdata():
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tot += 1
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r, g, b = p
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h, s, v = colorsys.rgb_to_hsv(r / 255, g / 255, b / 255)
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if s < 0.1 and v > 0.1:
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grey += 1
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v = grey / tot
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# print(f'{v:.1f}')
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obj['charging'] = v > 0.8
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# obj['charging'] = is_mostly_white(cropped)
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if k != 'batt':
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text = pytesseract.image_to_string(cropped)
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obj[k] = text
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if k == 'batt_full' and len(text) > 3:
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found = True
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print(f'{f_date}: {obj}')
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measures.append(obj)
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save_to_json_file('all_measurements.json', measures)
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return
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if __name__ == '__main__':
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main(FOLDER)
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