爬到牢底坐穿

摘要： 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

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 阅读全文

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 = 阅读全文

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 阅读全文

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 阅读全文

摘要： import numpy as npimport tensorflow as tffrom tensorflow.keras.layers import Dropout, Dense, SimpleRNNimport matplotlib.pyplot as pltimport osimport p 阅读全文

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. 阅读全文

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 阅读全文

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 阅读全文

摘要： 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