# Image Loading Code used for these examples from PIL import Image import numpy as np import matplotlib.pyplot as plt img = Image.open('./NIKE.png') img = np.array(img) plt.imshow(img) plt.show() 翻转|Flipping 对图像进行翻转是最流行的图像数据增强方法之一。这主要是由于翻转图像操作的代码...
# Image Loading Code used for these examples from PIL import Image import numpy as np import matplotlib.pyplot as plt img = Image.open('./NIKE.png') img = np.array(img) plt.imshow(img) plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 翻转|Flipping 对图像进行翻转是最流行的图像数据增强方...
# Image Loading Code usedforthese examplesfromPILimportImageimportnumpyasnpimportmatplotlib.pyplotasplt img = Image.open('./NIKE.png') img = np.array(img) plt.imshow(img) plt.show() 翻转|Flipping 对图像进行翻转是最流行的图像数据增强方法之一。这主要是由于翻转图像操作的代码简单,以及对于大多数问...
fd=cv2.resize(img,(int(cols*1.2),int(rows*1.2)))#显示图像 titles=['Source','JX','XZ30','XZ45','XZ90','XZ330','XZ180','SX','FD']images=[img,jx,rotated30,rotated45,rotated90,rotated330,rotated180,sx,fd]foriinrange(9):plt.subplot(3,3,i+1),plt.imshow(images[i],'gray...
Image rotation is a common image processing routine with applications in matching, alignment, and other image-based algorithms, it is also extensively in data augmentation, especially when it comes to image classification.The transformation matrix of rotation is shown in the below figure, where theta...
Python library for fast and flexible image augmentations(https://albumentations.ai/#). 数据集 WiderPerson, https://wider-challenge.org/2019.html CAVIAR, http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/ CALTECH Pedestrian dataset, http://www.vision.caltech.edu/Image_Datasets/CaltechPedes...
简介 音频时域波形具有以下特征:音调,响度,质量。我们在进行数据增强时,最好只做一些小改动,使得增强数据和源数据存在较小差异即可,切记不能改变原有数据的结构,不然将产生“脏数据”,通过对音频数据进行数据增强,能有助于我们的模型避免过度拟合并变得更加通用。
Image augmentation library in Python-Augmentor使用心得 Augmentor是个增强图像训练数据的库,减少了使用图像库自己编写代码的繁杂工序,能够批量完成图像的旋转,放大,缩小,添加噪音以扩充数据量。接下来结合官方文档介绍下这个库和使用心得。 首先github:https:///mdbloice/Augmentor...
create_category_index(categories) # ## Helper code # In[8]: def load_image_into_numpy_array(image): (im_width, im_height) = image.size return np.array(image.getdata()).reshape( (im_height, im_width, 3)).astype(np.uint8) # # Detection # In[9]: # For the sake of simplicity...
Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer grained control over augmentation, and implements the most real-world relevant augmentation techniques. ...