OpenCV系列 | BGR图像转换为RGB图像
opencv
OpenCV: 开源计算机视觉库
项目地址:https://gitcode.com/gh_mirrors/opencv31/opencv
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使用OpenCV加载图像时,默认使用BGR的格式,而使用matplotlib显示图像时又采用RGB的格式,因此显示图像时,会显得非常奇怪。
如以一张船的照片为例,原图如下:

使用OpenCV进行读取:
import cv2
import matplotlib.pyplot as plt
import numpy as np
ship_BGR = cv2.imread('ship.jpg',cv2.IMREAD_COLOR) # 第二个参数可以不写,默认值就是以彩色图像方式读取
plt.imshow(ship_BGR)
plt.show()
输出的图像结果:

可以很容易发现,这和原图的颜色差的非常多,这一切原因都在于读取channel的顺序,因此需要改变channel顺序。
方法一
ship_RGB_1 = ship_BGR[:,:,::-1] # BGR和RGB正好是顺逆序关系
plt.imshow(ship_RGB_1)
plt.show()
输出的图像结果:

方法二
ship_RGB_2 = cv2.cvtColor(ship_BGR, cv2.COLOR_BGR2RGB)
plt.imshow(ship_RGB_2)
plt.show()
输出的图像结果:

以上两种方法均适用于BGR图像转换为RGB图像,小伙伴们可根据自己的喜好各取所需。
OpenCV: 开源计算机视觉库
最近提交(Master分支:4 个月前 )
b229f1ef
core: add NEON support for cvFloor in fast_math.hpp #28243
- This PR adds NEON intrinsics-based implementation for the cvFloor function in fast_math.hpp for Windows-ARM64.
- Both float and double overloads now use NEON intrinsics for cvFloor Function.
- calchist and calchist1d function uses cvFloor function for its computations.
- After adding these changes both functions showed improvement in performance.
**Performance Benchmarks:**
<img width="956" height="273" alt="image" src="https://github.com/user-attachments/assets/a00c98cd-d245-4d11-a9fd-361a3bd89f59" />
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
9 小时前
1d20b65f
Optimized Bilateral Filter (32f) with AVX512 9 小时前
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