如何从"ravi"文件中获取数据? [英] How can I get data from 'ravi' file?
问题描述
什么是 ravi 文件:
RAVI文件是由热成像软件创建的视频文件，例如作为Micro-Epsilon TIM Connect或Optris PIX Connect.它包含视频由热像仪捕获并以类似于音频视频交错(.AVI)格式.RAVI文件也存储辐射信息，例如温度和测量区域热像仪收集的信息.
我的问题:
我必须处理 ravi 文件中的数据.我需要像素的温度值(或者帧的最高温度足以满足我的需要).我想检查特定框架上的最高温度.最终结果将是一个报告，其中包含框架上的最高温度值(这将是一个图形).使用 Micro-Epsilon TIM Connect 或 Optris PIX Connect 工具很容易检查和处理，但是我无法使用它们(我必须编写自己的工具).
我的问题:
- 如何从
ravi文件中获取数据(实际上我只需要温度值)? - 是否有转换器将
ravi文件转换为另一个文件(是否可以从ravi文件中获取数据无关?)
注意:
- 首选Python语言，但我对每个想法都持开放态度.
- 我必须使用
ravi文件，但是我无法记录新文件或修改录音. - 我找到了一个为此类相机提供
SDK的网站但是我不清楚从ravi文件获取数据是可能的.链接到libirimager2文档:官方软件中的流:
HexEditor中的ravi文件:我找到了一个有关
cv :: Mat img;如果(data.size()== w * h * 2){std :: cout<<data.size()<<"<<w * h * 2<<std :: endl;cv :: Mat t(h，w，CV_16UC1，& data [0]);//img(y，x)=(float)t(y，x)/10.0-100.0t.convertTo(img，CV_32F，0.1，-100.0);}别的返回;双重mi，ma;cv :: minMaxLoc(img，& mi，& ma);std :: cout<<范围:["<<mi<<"，<<ma<<]"<<std :: endl;cv ::棕灰色；img.convertTo(灰色，CV_8U);//[0，255]范围已饱和cv ::垫子更大；cv :: resize(gray，bigger，cv :: Size(4 * w，4 * h)，0,0，cv :: INTER_LINEAR);cv :: Mat jet;cv :: applyColorMap(较大，喷射，cv :: COLORMAP_JET);cv :: imshow("image"，jet);//看起来不错cv :: waitKey(0);reader.close();What
ravifile is:A RAVI file is a video file created by thermal imaging software, such as Micro-Epsilon TIM Connect or Optris PIX Connect. It contains video captured by thermal cameras and is saved in a format similar to the Audio Video Interleave (.AVI) format. RAVI files also store radiometric information, such as temperature and measurement area information collected by the thermal camera.
My issue:
I have to work with data from the
ravifile. I need the temperature value for the pixels (Or the maximum temperature of the frame is enough for me). I would like to check the maximum temperature on a certain frame. The final result would be a report which contains the maximum temperature values on frames (It would be a graph). It is easy to check and process withMicro-Epsilon TIM ConnectorOptris PIX Connecttools but I am not able to use them (I have to write an own one).My questions:
- How can I get the data from
ravifile (Actually I need only the temperature values)? - Is there any converter to convert
ravifile to another (It is not relevant if I can get the data fromravifile)?
Note:
- The Python language is the preferred but I am open for every idea.
- I have to work with the
ravifiles and I am not able to record new files or modify the recording. - I have found a site which provides a
SDKfor this type of camera but it is not clear for me that get data fromravifile is possible. Link tolibirimager2documentation: libirimager2 - If I play the
ravifile with a media player then it says the used codeck is:Uncompressed packed YUV 4:2:2(You can see the getting stream below)
If I parse it with
OpenCVor play with a media player, I can see something stream. But I am not sure how I can get the temperature...CV2 code:
import cv2 cap = cv2.VideoCapture("my_test.ravi") if not cap.isOpened(): print("Error opening video stream or file") while cap.isOpened(): ret, frame = cap.read() if ret: cv2.imshow('Frame', frame) if cv2.waitKey(25) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows()Getting stream:
(I see the same "pink and green" stream in a simple media player as well.)
Stream in the official software:
ravifile in HexEditor:I have found a site about AVI video format. You can see below some lines from begging of my file, perhaps it can help.
00000000 52 49 46 46 F8 B1 C6 3F 41 56 49 20 4C 49 53 54 RIFF...?AVI LIST 00000010 CC 7F 00 00 68 64 72 6C 61 76 69 68 38 00 00 00 ....hdrlavih8... 00000020 12 7A 00 00 44 FF DD 00 00 02 00 00 10 08 00 00 .z..D........... 00000030 44 6D 00 00 00 00 00 00 01 00 00 00 08 65 09 00 Dm...........e.. 00000040 80 02 00 00 E1 01 00 00 00 00 00 00 00 00 00 00 ................ 00000050 00 00 00 00 00 00 00 00 4C 49 53 54 74 7E 00 00 ........LISTt~.. 00000060 73 74 72 6C 73 74 72 68 38 00 00 00 76 69 64 73 strlstrh8...vids 00000070 59 55 59 32 00 00 00 00 00 00 00 00 00 00 00 00 YUY2............ 00000080 B4 C4 04 00 80 96 98 00 00 00 00 00 A4 50 00 00 .............P.. 00000090 08 65 09 00 00 00 00 00 00 00 00 00 00 00 00 00 .e.............. 000000A0 00 00 00 00 73 74 72 66 28 00 00 00 28 00 00 00 ....strf(...(... 000000B0 80 02 00 00 E1 01 00 00 01 00 10 00 59 55 59 32 ............YUY2 000000C0 00 65 09 00 60 00 00 00 60 00 00 00 00 00 00 00 .e..`...`....... 000000D0 00 00 00 00 69 6E 64 78 F8 7D 00 00 04 00 00 00 ....indx.}...... 000000E0 06 00 00 00 30 30 64 62 00 00 00 00 00 00 00 00 ....00db........Testing materials:
If you download the
PIX Connect Rel. 3.6.3046.0 Softwarefrom http://infrarougekelvin.com/en/optris-logiciel-eng/ site, you can find severalravifiles in the "Samples" folder inside zip.Additional info from an official documentation:
Software for thermoIMAGER TIM Infrared camera documentation
Video sequences can both be saved as a radiometric file (RAVI) or as a non-radiometric file (AVI). RAVI files contain all temperature as well as measure area information.
If Radiometric Recording, see Chap. 5.6.2, is not activated the images will be saved as standard AVI file only containing color information. A later conversion of a RAVI file into an AVI file and vice versa is not possible
Update:
I have tried to use the
PyAVmodule to get data. This module is able to handle theyuyv422format. I got the same "green-pink" stream and I was not able to get the temperature from it...Used code:
# coding=utf-8 import av import os ravi_path = "Brake disc.ravi" container = av.open(ravi_path) stream = container.streams.video[0] stream.codec_context.skip_frame = 'NONKEY' tgt_path = "frames" if not os.path.isdir(tgt_path): os.makedirs(tgt_path) for frame in container.decode(stream): tgt_filename = os.path.join(tgt_path, 'frame-{:09d}.jpg'.format(frame.pts)) print(frame, tgt_filename) frame.to_image().save(tgt_filename, quality=80)The output of script:
>>> python ravi_test2.py (<av.VideoFrame #0, pts=0 yuyv422 160x121 at 0x7f501bfa8598>, 'frames/frame-000000000.jpg') (<av.VideoFrame #1, pts=1 yuyv422 160x121 at 0x7f501bfa8600>, 'frames/frame-000000001.jpg') (<av.VideoFrame #2, pts=2 yuyv422 160x121 at 0x7f5018e0fdb8>, 'frames/frame-000000002.jpg') (<av.VideoFrame #3, pts=3 yuyv422 160x121 at 0x7f501bfa8598>, 'frames/frame-000000003.jpg') (<av.VideoFrame #4, pts=4 yuyv422 160x121 at 0x7f501bfa8600>, 'frames/frame-000000004.jpg') (<av.VideoFrame #5, pts=5 yuyv422 160x121 at 0x7f5018e0fdb8>, 'frames/frame-000000005.jpg')解决方案I don't know your camera make, but expect the video file to contain raw sensor values as 16-bit unsigned int, which is maybe just named YUV422 in the video header, because they fit the same 16 bits per pixel.
These values you can convert to real valued temperature via a particular non-linear calibration curve. If the RAVI-format is a single file format (as opposed to some legacy IR-cameras with raw-AVI + calibration table) then you should find the location of the few floating point constants and/or table, which make up the equation.
It's possible to reverse engineer the logic, but better ask the correct equation from the manufacturer. For example, what you find on the internet, could be just a legacy version of the calibration curve. Most manufacturers offer calibration libraries together with their devices. Some, out-of-product cycle devices could be a pain to negotiate, but you should get at least a white paper on the topic.
If you use OpenCV, you need to read YUV422-frames raw (16bpp, not 24bpp) and just reinterpret their context as uint16 before applying look up table.
// sample C++ code employing private content of OpenCV library // Particularly container_avi.private.hpp and container_avi.cpp void mainactual() { cv::AVIReadContainer reader; reader.initStream(cv::String("C:/tello/intro2.avi")); cv::frame_list frames; // initializes the stream reader.parseRiff( frames ); std::cout << "Number of frames: " << frames.size() << std::endl; int w=reader.getWidth(); int h=reader.getHeight(); std::cout << "size " << cv::Size(w,h) << std::endl; // a frame in the middle cv::frame_iterator it=frames.begin() + frames.size()/2; std::vector< char> data = reader.readFrame( it ); // In your case, data here is supposed to be // uncompressed YUV422 which is w * h * 2 bytes per frame // You might need to modify // bool AVIReadContainer::parseStrl(char stream_id, Codecs codec_) // to accept your FCC // // //if ( data.size()!=w*h*2 ) //{ // // error //} // My video is MJPEG, so I'm confident to just to decode it cv::Mat img = cv::imdecode( data, cv::IMREAD_UNCHANGED ); cv::imshow("image", img ); // looks fine cv::waitKey( 0 ); reader.close(); }EDIT: Tested brake disk.ravi, looks like below. Modified the parser to accept uncompressed YUV2 format and added a hack according to https://docs.microsoft.com/en-us/previous-versions/windows/desktop/api/Aviriff/ns-aviriff-avioldindex
dwOffset
Specifies the location of the data chunk in the file. The value should be specified as an offset, in bytes, from the start of the 'movi' list; however, in some AVI files it is given as an offset from the start of the file.
Not sure what the scrabble is, but looks like a brake disc.
cv::Mat img; if ( data.size()==w*h*2 ) { std::cout << data.size() << " " << w*h*2 << std::endl; cv::Mat t( h, w, CV_16UC1, &data[0] ); // img(y,x) = (float)t(y,x)/10.0 - 100.0 t.convertTo( img, CV_32F, 0.1, -100.0 ); }else return; double mi,ma; cv::minMaxLoc( img, &mi, &ma ); std::cout << "range: [" << mi << ", " << ma << "]" << std::endl; cv::Mat gray; img.convertTo( gray, CV_8U ); // [0, 255] range saturated cv::Mat bigger; cv::resize(gray,bigger,cv::Size(4*w,4*h),0,0,cv::INTER_LINEAR ); cv::Mat jet; cv::applyColorMap( bigger, jet, cv::COLORMAP_JET ); cv::imshow("image", jet ); // looks fine cv::waitKey( 0 ); reader.close();这篇关于如何从"ravi"文件中获取数据?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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