72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
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from __future__ import absolute_import, division, print_function, unicode_literals
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import tensorflow as tf
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from tensorflow.python.keras import datasets, layers, models
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import glob
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import numpy as np
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import cv2
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import runner
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from main import find_occupied_squares
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from util import POSITION
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new_model = models.load_model('test_chess_model.h5')
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new_model.summary()
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#board = cv2.imread("whole_boards/boards_for_empty/board_1554286488.605142_rank_3.png")
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#board = cv2.imread("whole_boards/boards_for_empty/board_1554285167.655788_rank_5.png")
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board = cv2.imread("whole_boards/boards_for_empty/board_1554288891.129901_rank_8.png")
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warped = runner.warp_board(board)
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occupied = find_occupied_squares(warped)
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pos_1 = POSITION.C5
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pos_2 = POSITION.D5
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pos_3 = POSITION.G5
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pos_4 = POSITION.H5
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square_1 = runner.get_square(warped, pos_1)
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square_2 = runner.get_square(warped, pos_2)
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square_3 = runner.get_square(warped, pos_3)
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square_4 = runner.get_square(warped, pos_4)
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square_1 = cv2.cvtColor(square_1, cv2.COLOR_BGR2GRAY)
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square_2 = cv2.cvtColor(square_2, cv2.COLOR_BGR2GRAY)
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square_3 = cv2.cvtColor(square_3, cv2.COLOR_BGR2GRAY)
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square_4 = cv2.cvtColor(square_4, cv2.COLOR_BGR2GRAY)
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width, height = square_1.shape
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square_1 = square_1 / 255.0
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square_2 = square_2 / 255.0
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square_3 = square_3 / 255.0
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square_4 = square_4 / 255.0
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pieces = ['knight', 'rook']
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for pos, square in occupied:
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square = cv2.cvtColor(square, cv2.COLOR_BGR2GRAY)
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width, height = square.shape
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square = square / 255.0
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test = new_model.predict(np.array(square).reshape((-1, width, height, 1)))
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text_color = 255
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cv2.putText(square, f"{pos} {pieces[int(np.argmax(test))]}", (0, 50), cv2.FONT_HERSHEY_SIMPLEX, fontScale=1,
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color=(text_color,) * 3, thickness=3)
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cv2.imshow(f"{pos}", square)
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cv2.waitKey(0)
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"""
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for pos, square in [(pos_1, square_1), (pos_2, square_2), (pos_3, square_3), (pos_4, square_4)]:
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test = new_model.predict(np.array(square).reshape((-1, width, height, 1)))
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print(f"{pos}: {np.argmax(test)}")
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text_color = 255
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cv2.putText(square, f"{pos} {pieces[int(np.argmax(test))]}", (0, 50), cv2.FONT_HERSHEY_SIMPLEX, fontScale=1,
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color=(text_color,) * 3, thickness=3)
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cv2.imshow(f"{pos}", square)
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"""
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