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先上图！ 十天+两台电脑才摸索出来的~~！ 环境： Ubuntu18.04+RTX3090+CUDA11.0+Cudnn v8+Pytorch-nightly 没错，是3090！（手动滑稽） 第一个坑：Windows（尤其是Win7）属实不行，Pytorch装不上，另外3090只能搭配Pytorch 阅读全文
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# 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 阅读全文
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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 = 阅读全文
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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 阅读全文
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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 阅读全文
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import numpy as npimport tensorflow as tffrom tensorflow.keras.layers import Dropout, Dense, SimpleRNNimport matplotlib.pyplot as pltimport osimport p 阅读全文
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#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. 阅读全文
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import tensorflow as tf import os import numpy as np from matplotlib import pyplot as plt from tensorflow.keras.layers import Conv2D, BatchNormalizati 阅读全文
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import tensorflow as tf import os import numpy as np from matplotlib import pyplot as plt from tensorflow.keras.layers import Conv2D, BatchNormalizati 阅读全文
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import tensorflow as tf import os from matplotlib import pyplot as plt import tensorflow.keras.datasets from tensorflow.keras import Model import nump 阅读全文