fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))
时间: 2024-01-24 10:05:03 浏览: 132
This code sets up a VideoWriter object to write video frames to a file named "output.avi" with the XVID codec, a frame rate of 20 frames per second, and a resolution of 640x480 pixels. The asterisk before 'XVID' is used to unpack the string into individual characters, as expected by the VideoWriter_fourcc function.
相关问题
filepath='F:\\步态数据库\\CASIA_Gait_Dataset\\DatasetB-1\\video\\001-nm-01-090.avi' cap = cv2.VideoCapture(filepath) ## Setup mediapipe instance with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose: frame_count = 0 # 实际帧数计数器 pose_count = 0 # 检测到姿势的视频帧数计数器 while cap.isOpened(): success,frame = cap.read() 将输入视频的像素提高
您想将输入视频的像素提高,您可以使用OpenCV库中的resize()函数。该函数可以将图像缩放到指定的大小,从而提高图像的像素。以下是一个示例代码片段,演示如何使用resize()函数来提高输入视频的像素:
```
import cv2
filepath = 'F:\\步态数据库\\CASIA_Gait_Dataset\\DatasetB-1\\video\\001-nm-01-090.avi'
cap = cv2.VideoCapture(filepath)
# 获取原始视频的宽度和高度
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# 定义新的视频宽度和高度
new_width = 2 * width
new_height = 2 * height
# 创建VideoWriter对象,用于保存新的视频
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('output.avi', fourcc, 20.0, (new_width, new_height))
# 读取视频并将每一帧缩放到指定的大小
while cap.isOpened():
success, frame = cap.read()
if success:
resized_frame = cv2.resize(frame, (new_width, new_height))
out.write(resized_frame)
else:
break
# 释放资源
cap.release()
out.release()
cv2.destroyAllWindows()
```
在上面的代码中,我们定义了一个新的视频宽度和高度,然后使用resize()函数将每一帧缩放到这个大小。最后,我们使用VideoWriter对象保存新的视频。
cv2.VideoWriter例子
下面是一个使用cv2.VideoWriter库的例子,将视频帧写入到输出文件中:
```python
import cv2
# 打开输入视频文件
input_file = "input_video.avi"
cap = cv2.VideoCapture(input_file)
# 获取视频帧的宽度和高度
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# 创建输出视频文件的编码器
fourcc = cv2.VideoWriter_fourcc(*'XVID')
output_file = "output_video.avi"
out = cv2.VideoWriter(output_file, fourcc, 20.0, (width, height))
# 逐帧读取并写入输出文件
while(cap.isOpened()):
ret, frame = cap.read()
if ret==True:
out.write(frame)
else:
break
# 释放资源
cap.release()
out.release()
cv2.destroyAllWindows()
```
在上面的代码中,我们首先打开输入视频文件,获取视频帧的宽度和高度。然后我们创建输出视频文件的编码器,并设置帧速率为20帧/秒。接着我们逐帧读取输入文件,并将每一帧写入输出文件中。最后释放资源,关闭文件。
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