09 2020 档案
摘要:# 导入工具包 import numpy as np import argparse import cv2 # 设置参数 def order_points(pts): # 一共4个坐标点 rect = np.zeros((4, 2), dtype = "float32") # 按顺序找到对应坐标01
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摘要:import cv2 def sort_contours(cnts, method="left-to-right"): reverse = False i = 0 if method == "right-to-left" or method == "bottom-to-top": reverse =
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摘要:import numpy as np import tensorflow as tf from tensorflow.keras.layers import Dropout, Dense, GRU import matplotlib.pyplot as plt import os import pa
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摘要:import numpy as np import tensorflow as tf from tensorflow.keras.layers import Dropout, Dense, LSTM import matplotlib.pyplot as plt import os import p
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摘要:import numpy as npimport tensorflow as tffrom tensorflow.keras.layers import Dropout, Dense, SimpleRNNimport matplotlib.pyplot as pltimport osimport p
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摘要:#字母预测:输入a预测出b,输入b预测出c,输入c预测出d,输入d预测出e,输入e预测出a #10000 a #01000 b #00100 c #00010 d #00001 e import numpy as np import tensorflow as tf from tensorflow.
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摘要:import tensorflow as tf import os import numpy as np from matplotlib import pyplot as plt from tensorflow.keras.layers import Conv2D, BatchNormalizati
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摘要:import tensorflow as tf import os import numpy as np from matplotlib import pyplot as plt from tensorflow.keras.layers import Conv2D, BatchNormalizati
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