Python使用Opencv打開(kāi)筆記本電腦攝像頭報(bào)錯(cuò)解問(wèn)題及解決

更新時(shí)間：2022年06月21日 08:52:57 作者：skye_fly

這篇文章主要介紹了Python使用Opencv打開(kāi)筆記本電腦攝像頭報(bào)錯(cuò)解問(wèn)題及解決方案，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。如有錯(cuò)誤或未考慮完全的地方，望不吝賜教

使用Opencv打開(kāi)筆記本電腦攝像頭報(bào)錯(cuò)

近期要做一個(gè)下位機(jī)上發(fā)圖像數(shù)據(jù)給上位機(jī)的任務(wù)，調(diào)試時(shí)自己寫了一個(gè)客戶端獲取筆記本電腦的攝像頭視頻數(shù)據(jù)傳輸給服務(wù)器，然后服務(wù)器端顯示攝像頭視頻數(shù)據(jù)。結(jié)果運(yùn)行時(shí)發(fā)現(xiàn)客戶端報(bào)錯(cuò)，視頻窗口閃退。

一般獲取攝像頭圖像數(shù)據(jù)的代碼如下：

capture = cv.VideoCapture(0)

但是運(yùn)行會(huì)報(bào)錯(cuò)如下：

[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-52oirelq\opencv\modules\videoio\src\cap_msmf.cpp (677) CvCapture_MSMF::initStream Failed to set mediaType (stream 0, (640x480 @ 30) MFVideoFormat_RGB24(codec not found)

網(wǎng)上搜索了一下后發(fā)現(xiàn)只要對(duì)上述代碼稍作修改即可

# 建立圖像讀取對(duì)象
? ? capture = cv.VideoCapture(0,cv.CAP_DSHOW) ?#更改API設(shè)置

此處0代表筆記本自帶的攝像頭，如果有外接攝像頭則可以選填1、2等。

Opencv打開(kāi)攝像頭報(bào)錯(cuò)問(wèn)題

CvCapture_MSMF::initStream Failed to set mediaType (stream 0, (640x480 @ 30)

cap=cv2.VideoCapture(0,cv2.CAP_DSHOW)

enum VideoCaptureAPIs {
       CAP_ANY          = 0,            //!< Auto detect == 0
       CAP_VFW          = 200,          //!< Video For Windows (obsolete, removed)
       CAP_V4L          = 200,          //!< V4L/V4L2 capturing support
       CAP_V4L2         = CAP_V4L,      //!< Same as CAP_V4L
       CAP_FIREWIRE     = 300,          //!< IEEE 1394 drivers
       CAP_FIREWARE     = CAP_FIREWIRE, //!< Same value as CAP_FIREWIRE
       CAP_IEEE1394     = CAP_FIREWIRE, //!< Same value as CAP_FIREWIRE
       CAP_DC1394       = CAP_FIREWIRE, //!< Same value as CAP_FIREWIRE
       CAP_CMU1394      = CAP_FIREWIRE, //!< Same value as CAP_FIREWIRE
       CAP_QT           = 500,          //!< QuickTime (obsolete, removed)
       CAP_UNICAP       = 600,          //!< Unicap drivers (obsolete, removed)
       CAP_DSHOW        = 700,          //!< DirectShow (via videoInput)
       CAP_PVAPI        = 800,          //!< PvAPI, Prosilica GigE SDK
       CAP_OPENNI       = 900,          //!< OpenNI (for Kinect)
       CAP_OPENNI_ASUS  = 910,          //!< OpenNI (for Asus Xtion)
       CAP_ANDROID      = 1000,         //!< Android - not used
       CAP_XIAPI        = 1100,         //!< XIMEA Camera API
       CAP_AVFOUNDATION = 1200,         //!< AVFoundation framework for iOS (OS X Lion will have the same API)
       CAP_GIGANETIX    = 1300,         //!< Smartek Giganetix GigEVisionSDK
       CAP_MSMF         = 1400,         //!< Microsoft Media Foundation (via videoInput)
       CAP_WINRT        = 1410,         //!< Microsoft Windows Runtime using Media Foundation
       CAP_INTELPERC    = 1500,         //!< RealSense (former Intel Perceptual Computing SDK)
       CAP_REALSENSE    = 1500,         //!< Synonym for CAP_INTELPERC
       CAP_OPENNI2      = 1600,         //!< OpenNI2 (for Kinect)
       CAP_OPENNI2_ASUS = 1610,         //!< OpenNI2 (for Asus Xtion and Occipital Structure sensors)
       CAP_GPHOTO2      = 1700,         //!< gPhoto2 connection
       CAP_GSTREAMER    = 1800,         //!< GStreamer
       CAP_FFMPEG       = 1900,         //!< Open and record video file or stream using the FFMPEG library
       CAP_IMAGES       = 2000,         //!< OpenCV Image Sequence (e.g. img_%02d.jpg)
       CAP_ARAVIS       = 2100,         //!< Aravis SDK
       CAP_OPENCV_MJPEG = 2200,         //!< Built-in OpenCV MotionJPEG codec
       CAP_INTEL_MFX    = 2300,         //!< Intel MediaSDK
       CAP_XINE         = 2400,         //!< XINE engine (Linux)
     };

附查看攝像頭下標(biāo)：

import cv2
ID = 0
while(1):
    cap = cv2.VideoCapture(ID,cv2.CAP_DSHOW)
    # get a frame
    ret, frame = cap.read()
    if ret == False:
        ID += 1
    else:
        print(ID)
    break

以上為個(gè)人經(jīng)驗(yàn)，希望能給大家一個(gè)參考，也希望大家多多支持腳本之家。

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