matlab填充图像算法代码CNN_频谱图_算法
一种使用卷积神经网络
(CNN)
从原始
EEG
数据中对频谱图进行分类的方法
SpectrogramClassificationAlgorithm.ipynb：使用来自训练和有效文件夹的数据训练模型，对来自测试文件夹的数据进行测试
Use_pretrained_model.ipynb：使用来自训练模型的模型权重，测试来自测试文件夹的新测试数据
fastai
文件夹中的代码来自
Jeremy
Howard
的
fastai
0.7
版：
数据结构
要运行任一笔记本，您必须具有以下结构的数据文件夹：
数据/
├──火车/
├──
Yes
├──
No
├──
有效/
├──
Yes
├──
No
├──测试/
对于
SpectrogramClassificationAlgorithm.ipynb：Yes
和
No
子文件夹包含我们训练模型的正面和负面案例图像。
测试文件夹包含我们测试模型的未分类图像。
对于
Use_pretrained_model.ipynb：测试文件夹包含要由我们的预训练模型
(saved_model.pkl)
评估的
2022-04-15 01:53:45
7.77MB
1
任务说明：编写一个钱币定位系统，其不仅能够检测出输入图像中各个钱币的边缘，同时，还能给出各个钱币的圆心坐标与半径。
效果
代码实现
Canny边缘检测：
# Author: Ji Qiu （BUPT）
# filename: my_canny.py
import cv2
import numpy as np
class Canny:
def __init__(self, Guassian_kernal_size, img, HT_high_threshold, HT_low_threshold):
'''
:param Guassian_kernal_size: 高斯滤
2022-04-13 08:19:13
378KB
1
The structural similarity image quality paradigm is based on the
assumption that the human visual system is highly adapted for
extracting structural information from the scene, and therefore a
measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale
structural similarity method, which supplies more flexibility than
previous single-scale methods in incorporating the variations of
viewing conditions. We develop an image synthesis method to
calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.
2022-04-10 22:50:33
464KB
1
粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster convergence and better results)
2022-04-10 16:05:29
541KB