[英]Save bounding box as image
I have some python code that takes in an image of an A4 letter, then draws bounding boxes around each character. 我有一些python代码,可以接收A4字母的图像,然后在每个字符周围绘制边框。
I want to know how to save each bounding box as an image, so essentially it's taking every character it detects and saving it. 我想知道如何将每个边界框保存为图像,因此从本质上讲,它将占用它检测到的每个字符并将其保存。 Preferable as a .png resized to 20x20
最好将.png调整为20x20
(A similar question was asked here but the answer is quite vague and don't know how to implement it in my code) ( 这里也提出了类似的问题,但答案很模糊,不知道如何在我的代码中实现)
Here is my code: 这是我的代码:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from scipy.misc import imread,imresize
from skimage.segmentation import clear_border
from skimage.morphology import label
from skimage.measure import regionprops
image = imread('./adobe.png',1)
#apply threshold in order to make the image binary
bw = image < 120
# remove artifacts connected to image border
cleared = bw.copy()
clear_border(cleared)
# label image regions
label_image = label(cleared,neighbors=8)
borders = np.logical_xor(bw, cleared)
label_image[borders] = -1
print label_image.max()
fig, ax = plt.subplots(ncols=1, nrows=1, figsize=(6, 6))
ax.imshow(bw, cmap='jet')
for region in regionprops(label_image, ['Area', 'BoundingBox']):
# skip small images
if region['Area'] > 50:
# draw rectangle around segmented coins
minr, minc, maxr, maxc = region['BoundingBox']
rect = mpatches.Rectangle((minc, minr), maxc - minc, maxr - minr,
fill=False, edgecolor='red', linewidth=2)
ax.add_patch(rect)
plt.show()
If I'm not clear enough, please comment and I'll try elaborate my best, 如果我不够清楚,请发表评论,我会尽力而为,
Thank you 谢谢
The question you reference uses findContours from OpenCV, a common library for image manipulation. 您引用的问题使用来自OpenCV的findContours ,OpenCV是图像处理的通用库。 If you already have the bounding box (in x, y and width, height) then you can simply export using matplotlib or, alternatively opencv:
如果已经有了边界框(以x,y和宽度,高度表示),则可以使用matplotlib或opencv进行简单导出:
image_patch = img[minr:maxr, minc:maxc] # get region of interest (slice)
# .. maybe do some scaling
plt.imsave("filename.png", image_patch)
Alternatively with fig.savefig(path) after rendering it to a figure. 将其渲染到图形后,也可以使用fig.savefig(path)。 Or with opencv:
或使用opencv:
import cv2
cv2.imsave("path.png", img_patch)
You may want to add suffixes to your file names (and/o checking if the file already exists?) to avoid overwriting. 您可能需要在文件名中添加后缀(和/或检查文件是否已存在?),以避免覆盖。
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