I'm trying to use line-mod (in special line-2d) in opencv 2.4 to compare images. At the moment I try to change the test-implementation linemod.cpp to use an input images instead of the camera, but without any success.
I tried to load an image via imread('...', CV_LOAD_IMAGE_COLOR); and pushed that in the sources vector but got a 'OpenCV Error: Assertion failed (response_map.rows % T == 0) in linearize' error.
If I load a CV_LOAD_IMAGE_GRAYSCALE image the run stops at detector->match with the error 'Thread 1: EXC_BAD_ACCESS (code=1, address=0x11310f000)'.
I don't understand what makes the difference between images coming from a VideoCapturer and from imread...
Is there anyone out there that may help me? I'm totally lost ... again ;-)
(For example sample code for matching two objects from images with linemod would be absolutely great!)
I use opencv 2.4 with xcode on a mac.
Maybe it is too late for an answer, but I am also interested in the algorithm
In the OpenCV Minutes 2012-06-26 ( http://code.opencv.org/projects/opencv/wiki/2012 ) you can read:
Will work with Stefan Hinterstoisser for final version of LINEMOD by September
So if you did not already solve it, you may want to wait.
Related
I am trying to use C++ AMP in Visual C++ 2017 on Windows 10 (updated to the latest) and I find the archived FFT library from C++ AMP team on codeplex. I try to run the sample code, however the program throws ran out of memory error when creating DirectX FFT. I solve that problem by following the thread on Microsoft forum.
However, the problem doesn't stop. When the FFT library tries to create Unordered Access View, it throws error of CLIPBRD_E_CANT_OPEN. I did not try to operate on clipboard anyhow.
Thank you for reading this!
It seems I solve the problem. The original post mentioned that we need to create a new DirectX device and then create accelerator view upon it. Then I pass that view to ctor of fft as the second parameter.
fft(
concurrency::extent<_Dim> _Transform_extent,
const concurrency::accelerator_view& _Av = concurrency::accelerator().default_view,
float _Forward_scale = 0.0f,
float _Inverse_scale = 0.0f)
However, I still have crashes of the CLIPBRD_E_CANT_OPEN.
After reading the code, I realize that I need to create array on that DirectX views too. So I started to change:
array<std::complex<float>,dims> transformed_array(extend, directx_acc_view);
The idea comes from the different behaviors of create_uav(). The internal buffers and the precomputing caused no problem, but the samples' calls trigger the clipboard error. I guess the device matters here, so I do that change.
I hope my understanding is correct and anyway there is no such errors now.
I'm trying to use the OSVR IR camera in OpenCV 3.1.
Initialization works OK.
Green LED is lit on camera.
When I call VideoCapture.read(mat) it returns false and mat is empty.
Other cameras work fine with the same code and VLC can grab the stream from the OSVR camera.
Some further testing reveals: grab() return true, whereas retrieve(mat) again returns false.
Getting width and height from the camera yields expected results but MODE and FORMAT gets me 0.
Is this a config issue? Can it be solved by a combination of VideoCapture.set calls?
Alternative Official answer received from the developers (after my own solution below):
The reason my camera didn't work out of the box with OpenCV might be that it has old firmware (pre-v7).
Work around (or just update firmware):
I found the answer here while browsing anything remotely linked to the issue:
Fastest way to get frames from webcam
You need to specify that it should use DirectShow.
VideoCapture capture( CV_CAP_DSHOW + id_of_camera );
For the past two weeks I am trying to find a proper way to read frames from .mts video file and process them in OpenCV. When .mts file is in 25p (25 fps progressive) format VideoCapture of OpenCV works fine for seeking video frames but when it is in 50i (25 fps interlaced) format VideoCapture of OpenCV can not properly decode it frame by frame.
(e.g. in a sample scenario when I get frame #1 and then read frame #300 and later read frame #1, it returns a corrupted image different from my previous read of frame #1) (i am using OpenCV 2.4.6)
I decided to replace video decoder part of the program.
I tried FFmpegSource2 but the problem of proper frame seeking for .mts was not resolved (most of the time FFMS_GetFrame function returns same output for several consecutive frames for 50i .mts file).
I also tried DirectShow. But IsFormatSupported method of IMediaSeeking for TIME_FORMAT_FRAME does not return S_OK for 50i .mts video file and it only supports TIME_FORMAT_MEDIA_TIME for this kind of video file. I have not tried myself but a friend said even using TIME_FORMAT_MEDIA_TIME for frame seeking will result in the same problem as above and I may not be able to jump back and forward to individual frames and read their data.
Now I am going to try gstreamer. I found sample method for linking gstreamer and openCV in the following link:
Adding opencv processing to gstreamer application
When I try to compile it in gstreamer 1.0, I get the following error:
error C3861: 'gst_app_sink_pull_buffer': identifier not found
I have included gst/gst.h, gst/app/gstappsink.h, gst/app/gstappsrc.h
Looked at the following help link and there was not gst_app_sink_pull_buffer function there too.
http://gstreamer.freedesktop.org/data/doc/gstreamer/head/gst-plugins-base-libs/html/gst-plugins-base-libs-appsink.html
I am using gstreamer 1.0 (v1.2.0) from gstreamer.freedesktop.org
May be gstreamer SDK from www.gstreamer.com (based on gstreamer 0.1) work for that, but I have not tried it yet and prefer to use gstreamer from gstreamer.freedesktop.org
I don't know where gst_app_sink_pull_buffer is defined. Anybody knows how I can compile the sample method provided for gstreamer 0.1 in
Adding opencv processing to gstreamer application for gstreamer 1.0?
Thank you in advance.
UPDATE 1: I am new to gstreamer. Now I know that have to port the sample method of Adding opencv processing to gstreamer application from gstreamer 0.1 to gstreamer 1.0. I replaced gst_app_sink_pull_buffer function with gst_app_sink_pull_sample and gst_sample_get_buffer. Have to work more on the other parts of the code and see if can open a desired frame from 50i .mts video file and process it with OpenCV.
UPDATE 2: I found a very good example at
http://gstreamer.freedesktop.org/data/doc/gstreamer/head/manual/html/section-data-spoof.html#section-spoof-appsink
And I easily replaced the part which saves the snapshot using GTk with functions that load frame data buffer to an OpenCV Mat. This program works fine for many video file types and I can grab frames of the video file in OpenCV Mat. But when the input video file is a 50i .mts video file, it returns the following errors and I can not read the frame data:
No accelerated IMDCT transform found
0:00:00.405110839 4632 0B775380 ERROR libav :0:: get_buffer() failed (-1 2 00000000)
0:00:00.405740899 4632 0B775380 ERROR libav :0:: decode_slice_header error
0:00:00.406401077 4632 0B7756A0 ERROR libav :0:: Missing reference picture
0:00:00.406705867 4632 0B7756A0 ERROR libav :0:: Missing reference picture
0:00:00.416044436 4632 0B7759C0 ERROR libav :0:: Cannot combine reference and non-reference fields in the same frame
0:00:00.416813339 4632 0B7759C0 ERROR libav :0:: decode_slice_header error
0:00:00.417725301 4632 0B775CE0 ERROR libav :0:: Missing reference picture
The step by step debug shows that "No accelerated IMDCT transform found" appears after running
ret = gst_element_get_state( pipeline, NULL, NULL, 5 * GST_SECOND );
and google search shows that I can ignore it as a warning.
All of the other errors emerge just after running
g_signal_emit_by_name( sink, "pull-preroll", &sample, NULL );
I have no idea how to resolve this issue? I have already played this .mts file in another example using playbin and gstreamer can play this .mts video file well when I use playbin.
ok, what i am trying to do is retrieve a frame from an existing video file, do some work on the frame and then save it to a new file,
what actually happens is that it writes some frames and then crashes as the code is quite fast,
if i don't put cvWaitKey() i get the same error i get when writing video frames with AVFoundation Library without using
AVAssetWriterInput.readyForMoreMediaData
OpenCV video writer is implemented using AVFoundation classes but we lose access to
AVAssetWriterInput.readyForMoreMediaData
or am i missing something ?
here is the code similar to what i'm trying to do,
while (grabResult&&frameResult) {
grabResult = cvGrabFrame(capture); // capture a frame
if(grabResult){
img = cvRetrieveFrame(capture, 0); // retrieve the captured frame
cvFlip(img,NULL,0); // edit img
frameResult = cvWriteFrame(writer,img); // add the frame to the file
cvWaitKey(-1); or anything that helps to finish adding the previous frame
}
}
I am trying to convert a video file using OpenCV (without displaying)
in my iPhone/iPad app, everything works except cvWaitKey() function
and I get this error:
OpenCV Error: Unspecified error (The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script) in cvWaitKey,
Without this function frames are dropped as there's no way to know if
the video writer is ready, is there an alternative to my problem?
I am using OpenCV 2.4.2 and I get same error with the latest
precompiled version of OpenCV.
Repaint the UIImageView:
[[NSRunLoop currentRunLoop]runUntilDate:[NSDate dateWithTimeIntervalSinceNow:0.0f]];
followed by your imshow or cvShowImage
I don't know anything about iOS development, but did you try calling the C++ interface method waitKey()?
I am using cvBlobsLib library for a blob detection work, however, i am facing a crash in the program in the code.
My code crashes at this point:
CBlobResult blobs;
blobs = CBlobResult(imageSkinPixels, NULL, 0);
imageSkinPixels must be a single-channel image: in other words, you need to convert your RGB image to GRAY before passing it to CBlobResult().
Also, we don't know what is the type of imageSkinPixels, but it should be a pointer to IplImage.
That's all I can say with the code you shared. If this doesn't fix the problem you'll need to share more code.