analyze.py 1.5 KB

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  1. #!/usr/bin/env python3
  2. import os
  3. import numpy as np
  4. from PIL import Image
  5. from detection import BLOCK_SIZE, COLUMN_VSHIFT, MIN_COLUMN_VAL, \
  6. MIN_COLUMN_SAT, detect_columns
  7. from strategy import State
  8. def cut_board(board):
  9. y = detect_columns(board) - BLOCK_SIZE
  10. i = row = 0
  11. while y >= 0:
  12. for col, shift in enumerate(COLUMN_VSHIFT):
  13. x = col * BLOCK_SIZE
  14. block = board.crop((x, y + shift,
  15. x + BLOCK_SIZE, y + shift + BLOCK_SIZE))
  16. yield col, row, block
  17. i += 1
  18. y -= BLOCK_SIZE
  19. row += 1
  20. def make_bitmap(board):
  21. h, s, v = board.split()
  22. v = [int(v > MIN_COLUMN_VAL and s > MIN_COLUMN_SAT) * 255
  23. for h, s, v in zip(h.getdata(), s.getdata(), v.getdata())]
  24. v = Image.fromarray(np.uint8(v).reshape((board.height, board.width)))
  25. return Image.merge('RGB', (v, v, v))
  26. if __name__ == '__main__':
  27. import sys
  28. ident = int(sys.argv[1])
  29. extensive = len(sys.argv) > 2 and sys.argv[2] == 'y'
  30. board = Image.open('screens/board%d.png' % ident).convert('HSV')
  31. #board.crop((0, 0, board.width, detect_columns(board))).show()
  32. state = State.detect(board)
  33. state.print()
  34. if extensive:
  35. make_bitmap(board).save('screens/bitmap%d.png' % ident)
  36. os.makedirs('blocks/board%d' % ident, exist_ok=True)
  37. for row, col, block in cut_board(board):
  38. f = 'blocks/board%d/row%d-col%d.png' % (ident, row, col)
  39. block.convert('RGB').save(f)