随笔分类 - 算法
摘要：# net.py import torch import torch.nn as nn import lightning as L from torchmetrics.classification import BinaryAccuracy class AlexNet(L.LightningModu
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摘要：不废话了，直接上代码吧 import cv2 import matplotlib.pyplot as plt import numpy as np import random plt.rcParams['figure.figsize'] = [15, 15] # 读取图像并转换为灰度图 def re
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摘要：import cv2 import numpy as np def gaussian_smooth(img, sigma=1.3, kernel_size=5): """对图像应用高斯平滑""" # 计算填充的宽度 padding_width = kernel_size // 2 # 创建高斯核 g
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