ubuntu22.04@laptop OpenCV Get Started: 002_reading_writing_videos
ubuntu22.04@laptop OpenCV Get Started: 002_reading_writing_videos
- 1. 源由
- 2. Read/Display/Write应用Demo
- 3 video_read_from_file
-
- 3.1 C++应用Demo
- 3.2 Python应用Demo
- 3.3 重点过程分析
-
- 3.3.1 读取视频文件
- 3.3.2 读取文件信息
- 3.3.3 帧读取&显示
- 4 video_read_from_image_sequence
-
- 4.1 C++应用Demo
- 4.2 Python应用Demo
- 4.3 重点过程分析
- 5 video_read_from_webcam
-
- 5.1 C++应用Demo
- 5.2 Python应用Demo
- 5.3 重点过程分析
- 6 video_write_from_webcam
-
- 6.1 C++应用Demo
- 6.2 Python应用Demo
- 6.3 重点过程分析
-
- 6.3.1 获取视频参数
- 6.3.2 设置保存视频参数
- 6.3.3 保存视频文件
- 7 video_write_to_file
-
- 7.1 C++应用Demo
- 7.2 Python应用Demo
- 7.3 重点过程分析
- 8. 总结
- 9. 参考资料
1. 源由
在OpenCV中对视频的读写操作与图像的读写操作非常相似。视频不过是一系列通常被称为帧的图像。所以，所需要做的就是在视频序列中的所有帧上循环，然后一次处理一帧。
接下来研读下：
- Read/Display/Write视频文件
- Read/Display/Write系列图片
- Read/Display/Write网络摄像头
2. Read/Display/Write应用Demo
002_reading_writing_videos是OpenCV读写、显示视频文件例程。
确认OpenCV安装路径：
$ find /home/daniel/ -name "OpenCVConfig.cmake"
/home/daniel/OpenCV/installation/opencv-4.9.0/lib/cmake/opencv4/
/home/daniel/OpenCV/opencv/build/OpenCVConfig.cmake
/home/daniel/OpenCV/opencv/build/unix-install/OpenCVConfig.cmake
$ export OpenCV_DIR=/home/daniel/OpenCV/installation/opencv-4.9.0/lib/cmake/opencv4/
3 video_read_from_file
3.1 C++应用Demo
C++应用Demo工程结构：
002_reading_writing_videos/CPP/video_read_from_file$ tree .
.
├── CMakeLists.txt
├── Resources
│ └── Cars.mp4
└── video_read_from_file.cpp
1 directory, 3 files
C++应用Demo工程编译执行：
$ cd video_read_from_file
$ mkdir build
$ cd build
$ cmake ..
$ cmake --build . --config Release
$ cd ..
$ ./build/video_read_from_file
3.2 Python应用Demo
Python应用Demo工程结构：
002_reading_writing_videos/Python$ tree . -L 2
.
├── requirements.txt
├── Resources
│ ├── Cars.mp4
│ └── Image_sequence
├── video_read_from_file.py
├── video_read_from_image_sequence.py
├── video_read_from_webcam.py
├── video_write_from_webcam.py
└── video_write_to_file.py
2 directories, 7 files
Python应用Demo工程执行：
$ workoncv-4.9.0
$ python video_read_from_file.py
3.3 重点过程分析
3.3.1 读取视频文件
- VideoCapture(path, apiPreference)
C++:
# Create a video capture object, in this case we are reading the video from a file
VideoCapture vid_capture("Resources/Cars.mp4");
Python:
# Create a video capture object, in this case we are reading the video from a file
vid_capture = cv2.VideoCapture('Resources/Cars.mp4')
3.3.2 读取文件信息
- vid_capture.isOpened()
- vid_capture.get()
C++:
if (!vid_capture.isOpened())
{
cout << "Error opening video stream or file" << endl;
}
else
{
// Obtain fps and frame count by get() method and print
int fps = vid_capture.get(5):
cout << "Frames per second :" << fps;
frame_count = vid_capture.get(7);
cout << "Frame count :" << frame_count;
}
Python:
if (vid_capture.isOpened() == False):
print("Error opening the video file")
else:
# Get frame rate information
fps = int(vid_capture.get(5))
print("Frame Rate : ",fps,"frames per second")
# Get frame count
frame_count = vid_capture.get(7)
print("Frame count : ", frame_count)
3.3.3 帧读取&显示
- vid_capture.read()
- cv2.imshow()
C++:
while (vid_capture.isOpened())
{
// Initialize frame matrix
Mat frame;
// Initialize a boolean to check if frames are there or not
bool isSuccess = vid_capture.read(frame);
// If frames are present, show it
if(isSuccess == true)
{
//display frames
imshow("Frame", frame);
}
// If frames are not there, close it
if (isSuccess == false)
{
cout << "Video camera is disconnected" << endl;
break;
}
//wait 20 ms between successive frames and break the loop if key q is pressed
int key = waitKey(20);
if (key == 'q')
{
cout << "q key is pressed by the user. Stopping the video" << endl;
break;
}
}
Python:
while(vid_capture.isOpened()):
# vCapture.read() methods returns a tuple, first element is a bool
# and the second is frame
ret, frame = vid_capture.read()
if ret == True:
cv2.imshow('Frame',frame)
k = cv2.waitKey(20)
# 113 is ASCII code for q key
if k == 113:
break
else:
break
4 video_read_from_image_sequence
4.1 C++应用Demo
C++应用Demo工程结构：
002_reading_writing_videos/CPP/video_read_from_image_sequence$ tree . -L 2
.
├── CMakeLists.txt
├── Resources
│ └── Image_Sequence
└── video_read_from_image_sequence.cpp
2 directories, 2 files
C++应用Demo工程编译执行：
$ cd video_read_from_image_sequence
$ mkdir build
$ cd build
$ cmake ..
$ cmake --build . --config Release
$ cd ..
$ ./build/video_read_is
4.2 Python应用Demo
Python应用Demo工程结构：
002_reading_writing_videos/Python$ tree . -L 2
.
├── requirements.txt
├── Resources
│ ├── Cars.mp4
│ └── Image_sequence
├── video_read_from_file.py
├── video_read_from_image_sequence.py
├── video_read_from_webcam.py
├── video_write_from_webcam.py
└── video_write_to_file.py
2 directories, 7 files
Python应用Demo工程执行：
$ workoncv-4.9.0
$ python video_read_from_image_sequence.py
4.3 重点过程分析
读取系列照片文件
- VideoCapture(path, apiPreference)
C++:
VideoCapture vid_capture("Resources/Image_sequence/Cars%04d.jpg");
Python:
vid_capture = cv2.VideoCapture('Resources/Image_sequence/Cars%04d.jpg')
注：Cars%04d.jpg: Cars0001.jpg, Cars0002.jpg, Cars0003.jpg, etc
5 video_read_from_webcam
5.1 C++应用Demo
C++应用Demo工程结构：
002_reading_writing_videos/CPP/video_read_from_webcam$ tree .
.
├── CMakeLists.txt
└── video_read_from_webcam.cpp
0 directories, 2 files
C++应用Demo工程编译执行：
$ cd video_read_from_webcam
$ mkdir build
$ cd build
$ cmake ..
$ cmake --build . --config Release
$ cd ..
$ ./build/video_read_from_webcam
5.2 Python应用Demo
Python应用Demo工程结构：
002_reading_writing_videos/Python$ tree . -L 2
.
├── requirements.txt
├── Resources
│ ├── Cars.mp4
│ └── Image_sequence
├── video_read_from_file.py
├── video_read_from_image_sequence.py
├── video_read_from_webcam.py
├── video_write_from_webcam.py
└── video_write_to_file.py
2 directories, 7 files
Python应用Demo工程执行：
$ workoncv-4.9.0
$ python video_read_from_webcam.py
5.3 重点过程分析
- VideoCapture(path, apiPreference)
C++:
VideoCapture vid_capture(0);
Python:
vid_capture = cv2.VideoCapture(0)
注：cv2.CAP_DSHOW不要使用，有时会导致vid_capture.isOpened()返回false。
6 video_write_from_webcam
6.1 C++应用Demo
C++应用Demo工程结构：
002_reading_writing_videos/CPP/video_write_from_webcam$ tree .
.
├── CMakeLists.txt
└── video_write_from_webcam.cpp
0 directories, 2 files
C++应用Demo工程编译执行：
$ cd video_write_from_webcam
$ mkdir build
$ cd build
$ cmake ..
$ cmake --build . --config Release
$ cd ..
$ ./build/video_write_from_webcam
6.2 Python应用Demo
Python应用Demo工程结构：
002_reading_writing_videos/Python$ tree . -L 2
.
├── requirements.txt
├── Resources
│ ├── Cars.mp4
│ └── Image_sequence
├── video_read_from_file.py
├── video_read_from_image_sequence.py
├── video_read_from_webcam.py
├── video_write_from_webcam.py
└── video_write_to_file.py
2 directories, 7 files
Python应用Demo工程执行：
$ workoncv-4.9.0
$ python video_write_from_webcam.py
6.3 重点过程分析
6.3.1 获取视频参数
- vid_capture.get()
C++:
// Obtain frame size information using get() method
Int frame_width = static_cast(vid_capture.get(3));
int frame_height = static_cast(vid_capture.get(4));
Size frame_size(frame_width, frame_height);
int fps = 20;
Python:
# Obtain frame size information using get() method
frame_width = int(vid_capture.get(3))
frame_height = int(vid_capture.get(4))
frame_size = (frame_width,frame_height)
fps = 20
6.3.2 设置保存视频参数
- VideoWriter(filename, apiPreference, fourcc, fps, frameSize[, isColor])
- filename: pathname for the output video file
- apiPreference: API backends identifier
- fourcc: 4-character code of codec, used to compress the frames fourcc
- fps: Frame rate of the created video stream
- frame_size: Size of the video frames
- isColor: If not zero, the encoder will expect and encode color frames. Else it will work with grayscale frames (the flag is currently supported on Windows only).
C++:
//Initialize video writer object
VideoWriter output("Resources/output.avi", VideoWriter::fourcc('M', 'J', 'P', 'G'),frames_per_second, frame_size);
Python:
# Initialize video writer object
output = cv2.VideoWriter('Resources/output_video_from_file.avi', cv2.VideoWriter_fourcc('M','J','P','G'), 20, frame_size)
保存视频文件格式可以选择：
- AVI: cv2.VideoWriter_fourcc(‘M’,‘J’,‘P’,‘G’)
- MP4: cv2.VideoWriter_fourcc(*‘XVID’)
6.3.3 保存视频文件
- output.write()
C++:
while (vid_capture.isOpened())
{
// Initialize frame matrix
Mat frame;
// Initialize a boolean to check if frames are there or not
bool isSuccess = vid_capture.read(frame);
// If frames are not there, close it
if (isSuccess == false)
{
cout << "Stream disconnected" << endl;
break;
}
// If frames are present
if(isSuccess == true)
{
//display frames
output.write(frame);
// display frames
imshow("Frame", frame);
// wait for 20 ms between successive frames and break
// the loop if key q is pressed
int key = waitKey(20);
if (key == ‘q’)
{
cout << "Key q key is pressed by the user.
Stopping the video" << endl;
break;
}
}
}
Python:
while(vid_capture.isOpened()):
# vid_capture.read() methods returns a tuple, first element is a bool
# and the second is frame
ret, frame = vid_capture.read()
if ret == True:
# Write the frame to the output files
output.write(frame)
else:
print(‘Stream disconnected’)
break
7 video_write_to_file
7.1 C++应用Demo
C++应用Demo工程结构：
002_reading_writing_videos/CPP/video_write_to_file$ tree -L 2
.
├── CMakeLists.txt
├── Resources
│ └── Cars.mp4
└── video_write_to_file.cpp
1 directory, 4 files
C++应用Demo工程编译执行：
$ cd video_write_to_file
$ mkdir build
$ cd build
$ cmake ..
$ cmake --build . --config Release
$ cd ..
$ ./build/video_write_to_file
7.2 Python应用Demo
Python应用Demo工程结构：
002_reading_writing_videos/Python$ tree . -L 2
.
├── requirements.txt
├── Resources
│ ├── Cars.mp4
│ └── Image_sequence
├── video_read_from_file.py
├── video_read_from_image_sequence.py
├── video_read_from_webcam.py
├── video_write_from_webcam.py
└── video_write_to_file.py
2 directories, 7 files
Python应用Demo工程执行：
$ workoncv-4.9.0
$ python video_write_to_file.py
7.3 重点过程分析
整合了以下章节重点过程：
-
- video_read_from_file
-
- video_write_from_webcam
8. 总结
主要通过以下三个函数API实现：
- videoCapture()：获取数据源
- read()：读取数据
- imshow()：显示图像
- write()：保存数据
其他API函数：
- isOpened() - 数据源打开是否成功过
- get() - 获取数据源相关信息
9. 参考资料
【1】ubuntu22.04@laptop OpenCV Get Started
【2】ubuntu22.04@laptop OpenCV安装
【3】ubuntu22.04@laptop OpenCV定制化安装