登录
首页 » Python » 机器学习数据增强代码-平移、旋转、加噪声

机器学习数据增强代码-平移、旋转、加噪声

于 2022-08-21 发布 文件大小:1.98 kB
0 100
下载积分: 2 下载次数: 1

代码说明:

输入一张图片,经过上下左右平移、加入高斯噪声,5°、10°旋转,加入椒盐噪声,可以生成原数据集10倍的图片。

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • all_regressor
    说明:  对于小型数据怎么做回归预测,包含svr,决策树,随机森林等(regression prediction for small data)
    2020-04-13 18:22:08下载
    积分:1
  • MC1.7.10NBTEdit
    一个普通的小游戏,没有什么功能,就一个小游戏(An ordinary little game, no function, just a junk game)
    2020-06-19 16:20:02下载
    积分:1
  • Galileo_singlefrequency
    Galileo单频定位程序,能基于rinex文件实现高精度定位,供编写时参考(Galileo single-frequency positioning program can achieve high-precision positioning based on RINEX file for reference when writing.)
    2020-07-04 14:20:01下载
    积分:1
  • 在 pYthon 中编码的螺纹规范
    这是一个在多线程编程到 python 代码
    2022-03-25 01:06:29下载
    积分:1
  • non_local
    自己用python复现的NL-mean去噪,备注比较详细,便于理解原理; 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)
    2020-06-21 00:40:02下载
    积分:1
  • Labeling Complicated Objects Multi-View Multi-Instance Multi-Label Learning 多视角多实例多标签学习
    附件是Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning的pdf文档,南京大学的教授
    2022-03-24 14:16:17下载
    积分:1
  • android
    python语言,获取android手机内存脚本(python language, access to the android phone memory script)
    2012-11-20 14:19:28下载
    积分:1
  • MobileNet-master
    我们提供一类称为MobileNets的高效模型,用于移动和嵌入式视觉应用。?MobileNets是基于一个流线型的架构,它使用深度可分离的卷积来构建轻量级的深层神经网络。我们引入两个简单的全局超参数,在延迟度和准确度之间有效地进行平衡。这两个超参数允许模型构建者根据问题的约束条件,为其应用选择合适大小的模型。我们进行了资源和精度权衡的广泛实验,与ImageNet分类上的其他流行的网络模型相比,MobileNets表现出很强的性能。最后,我们展示了MobileNets在广泛的应用场景中的有效性,包括物体检测,细粒度分类,人脸属性和大规模地理定位。(We provide an efficient model called MobileNets for mobile and embedded vision applications. MobileNets is based on a streamlined architecture that USES deep separable convolution to build a lightweight deep neural network. We introduce two simple global hyperparameters to effectively balance the delay and accuracy. These two hyperparameters allow the model builder to select an appropriate size model for its application based on the constraints of the problem. We conducted extensive experiments on resource and precision tradeoffs, and MobileNets showed strong performance compared with other popular network models on the ImageNet classification. Finally, we demonstrate the effectiveness of MobileNets in a wide range of application scenarios, including object detection, fine-grained classification, face attributes, and large-scale geographic localization.)
    2018-09-26 18:51:51下载
    积分:1
  • GUI_programming_python_tkinter
    说明:  GUI_programming_python_tkinter
    2019-11-01 13:11:06下载
    积分:1
  • JanErikSolem.ProgrammingComputerVision
    Programming Computer Vision with Python by Jan Erik Solem
    2019-02-06 15:40:06下载
    积分:1
  • 696516资源总数
  • 106446会员总数
  • 9今日下载