我有一个numpy图片数组,其中包含numpy图片数组,并且我尝试使用给定的颜色填充该数组中的每个图片,而不使用for循环。换句话说,我希望一切都矢量化。
要产生错误:取消注释行并注释其下面的行,您将得到ValueError:操作数不能与重新映射的形状一起广播[original-> remapped]:(3,)和要求的形状(4 ,2)
您可以使用此图像进行测试。
这是我所做的:
import cv2
import numpy as np
import matplotlib.pyplot as plt
def pad_image(image, pad_width, values, mode='img_arr'):
"""
Add a pad(border) of a given width and value to the image.
Args:
image: Image array or a single image.
pad_width: The width of the pad.
values: Value of the pad layer.
mode: A string representation of the input
'img_arr': Array of images.
'img': A single image.
Return:
numpy array of padded images or a padded image.
"""
if mode == 'img_arr':
# The following commented line will give an error if constant_values is an RGB tuple.
# return np.pad(
# image, ((0, 0), (pad_width, pad_width), (pad_width, pad_width), (0, 0)), constant_values=values)
return np.array([cv2.copyMakeBorder(
img, pad_width, pad_width, pad_width, pad_width, cv2.BORDER_CONSTANT, value=values)
for img in image])
if mode == 'img':
return cv2.copyMakeBorder(
image, pad_width, pad_width, pad_width, pad_width, cv2.BORDER_CONSTANT, value=values)
if __name__ == '__main__':
tiger = cv2.imread('tiger.jpeg')
tiger_arr_test = np.array([tiger for i in range(1000)])
pad_width = 5
color = (255, 0, 0)
padded_arr = pad_image(tiger_arr_test, pad_width, color)
plt.imshow(padded_arr[0])
plt.title(f'First padded image of the array of images.')
plt.show()
padded_single = pad_image(tiger, pad_width, color, 'img')
print(padded_single.shape)
plt.imshow(padded_single)
plt.title('Padded single image.')
plt.show()
答案 0 :(得分:1)
这是一种无需使用CrimeListFragment
import React, { Component } from 'react';
import { TouchableOpacity,StyleSheet, Text, View, Image } from 'react-native';
import { withNavigation } from 'react-navigation';
class HomeScreen extends React.Component {
render() {
const {navigation} = this.props;
return (
<View style={styles.MasterContainer}>
<NavBar navigation/>
<UserBar/>
<View style={{height: 40,}}></View>
<ButtonTab/>
<Admob/>
<TapBar/>
</View>
);
}
}
class NavBar extends React.Component {
render(){
return(
<View style={styles.NavBar}>
<TouchableOpacity>
<Text style={{fontWeight: 'bold',fontSize: 18, color: 'white'}}
onPress={() => navigation.navigate('NavPg')}>더보기</Text>
</TouchableOpacity>
</View>
)
}
}
使用原始形状制作边框颜色数组
class CustomEditText(context: Context, attrs: AttributeSet) : AppCompatEditText(context, attrs) {
...
}
然后只需将原始数组分配到新数组的中间
numpy.pad
使用import cv2
import numpy as np
tiger = cv2.imread('tiger.jpg')
tigers = np.array((tiger,tiger,tiger,tiger,tiger))
color = np.array((255, 0, 0))
pad = 5
sub = slice(pad,-pad)
-用零填充,然后将颜色分配给四个边缘
z,a,b,c = tigers.shape
newshape = (z, pad+a+pad, pad+b+pad, c)
w = np.zeros(newshape,dtype=np.uint8) + color
w[:,sub,sub,:] = tigers
plt.imshow(w[3])
plt.show()
plt.close()
并使用布尔掩码分配颜色
numpy.pad