shouhan6396的博客

def densenet121_model(img_rows, img_cols, color_type=1, nb_dense_block=4, growth_rate=48, nb_filter=64, reduction=0.5, dropout_rate=0.0, weight_decay=1e-4, num_classes=None): ''' DenseNet 121...

三通道拼接形成可视化

import pickleimport numpy as npimport random＃读取采集的背景数据，数据形式为Nonex28x28x4others = np.load('/home/xm/桌面/make_dataset/others.npy')index_1 = random.sample(list(range(others.shape[0])),others.shape[0...

模型预测import pickleimport cv2import numpy as npf = open('/home/xm/桌面/论文精华/sample_data_498_558.txt','rb')data = pickle.load(f)pred = model.predict(data)将分类结果以像素点的形式拼接B = []for i in range(le...

SE_densenet参考http://www.zhouyuangan.cn/2018/11/se_densenet-modify-densenet-with-champion-network-of-the-2017-classification-task-named-squeeze-and-excitation-network/import mathimport torchimport...