Python调用大恒相机录制视频(Ubuntu16.04)
环境配置
驱动安装:https://blog.csdn.net/liuzongyuan1996/article/details/104219550
API安装:https://blog.csdn.net/liuzongyuan1996/article/details/104221841
opencv-python安装:
sudo pip3 install opencv-python
视频录制代码
# !/home/liu/miniconda3/envs/dahengcamera/bin/python
# coding=utf-8
import cv2 # 导入opencv包
import gxipy as gx # 导入大恒相机Python包
import time
# 打开设备
# 枚举设备
device_manager = gx.DeviceManager()
dev_num, dev_info_list = device_manager.update_device_list()
if dev_num == 0:
sys.exit(1)
# 获取设备基本信息列表
str_sn = dev_info_list[0].get("sn")
# 通过序列号打开设备
cam = device_manager.open_device_by_sn(str_sn)
# 导入配置信息
# cam.import_config_file("./import_config_file.txt")
# 开始采集
cam.stream_on()
# 视频存储的格式
fourcc = cv2.VideoWriter_fourcc(*'XVID' )
# 帧率
fps = cam.AcquisitionFrameRate.get()
# 视频的宽高
size = (cam.Width.get(),cam.Height.get())
print(cam.Width.get(),cam.Height.get())
# 文件名定义
filename = '/home/liu/DaHengCamera/Video/video_'+time.strftime("%Y%m%d_%H%M%S", time.localtime())+'.avi'
#视频存储
out = cv2.VideoWriter(filename, fourcc, fps, size)
while out.isOpened():
raw_image = cam.data_stream[0].get_image() # 使用相机采集一张图片
rgb_image = raw_image.convert("RGB") # 从彩色原始图像获取 RGB 图像
numpy_image = rgb_image.get_numpy_array() # 从 RGB 图像数据创建 numpy 数组
if rgb_image is None:
continue
numpy_image = cv2.cvtColor(numpy_image, cv2.COLOR_RGB2BGR) # opencv采用的是BGR图像, 讲RGB转为BGR
cv2.namedWindow('video',cv2.WINDOW_NORMAL)#创建一个名为video的窗口
cv2.imshow('video',numpy_image) # 将捕捉到的图像在video窗口显示
out.write(numpy_image) # 将捕捉到的图像存储
#按esc键退出程序
if cv2.waitKey(1) & 0xFF ==27:
break
# 停止录制,关闭设备
cam.stream_off()
cam.close_device()
使用本地摄像头录制视频
import cv2#导入opencv包
import time
video=cv2.VideoCapture(0) # 打开摄像头,0代表摄像头编号
fourcc = cv2.VideoWriter_fourcc(*'XVID') # 视频存储的格式
fps = video.get(cv2.CAP_PROP_FPS) # 帧率
# 视频的宽高
size = (int(video.get(cv2.CAP_PROP_FRAME_WIDTH)), \
int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)))
# 文件名设置
filename = '/home/liu/DaHengCamera/Video/video_'+ \
time.strftime("%Y%m%d_%H%M%S", time.localtime())+'.avi'
out = cv2.VideoWriter(filename, fourcc, fps, size) # 视频存储
while out.isOpened():
ret,img=video.read() # 开始使用摄像头读数据,返回ret为true,img为读的图像
if ret is False: # ret为false则关闭
exit()
cv2.namedWindow('video',cv2.WINDOW_AUTOSIZE) # 创建一个名为video的窗口
cv2.imshow('video',img) # 将捕捉到的图像在video窗口显示
out.write(img) # 将捕捉到的图像存储
# 按esc键退出程序
if cv2.waitKey(1) & 0xFF ==27:
video.release() # 关闭摄像头
break
问题解答
出现错误请参考文档《Python接口开发说明书.pdf》,在doc_cn文件夹下。