I encountered a problem when I want to read an image using the OpenCV function imread().
The image is Ok and I can show it in the image display software.
But when I use the imdecode() to get the image data, the data returns NULL.
I will upload the image and the code and hope some one could help me
Mat img = imread(image_name);
if(!img.data) return -1;
The image's link is here: http://img3.douban.com/view/photo/raw/public/p2198361185.jpg
PS: The image_name is all right.
I guess OpenCV cannot decode this image. So is there any way to decode this image using OpenCV?, like add new decode library. By the way, I can read this image using other image library such as freeImage.
Your image is in .gif and it is not supported by OpenCV as of now.
Note OpenCV offers support for the image formats Windows bitmap (bmp),
portable image formats (pbm, pgm, ppm) and Sun raster (sr, ras). With
help of plugins (you need to specify to use them if you build yourself
the library, nevertheless in the packages we ship present by default)
you may also load image formats like JPEG (jpeg, jpg, jpe), JPEG 2000
(jp2 - codenamed in the CMake as Jasper), TIFF files (tiff, tif) and
portable network graphics (png). Furthermore, OpenEXR is also a
possibility.
Source - Click here
You can use something like this, to perform the conversion.
I was able to load your image using imread using this. Also, you can check out FreeImage.
You can also try to use the library gif2numpy. It converts a gif image to a numpy image which then can be loaded by OpenCV:
import cv2, gif2numpy
np_images, extensions, image_specs = gif2numpy.convert("yourgifimage.gif")
cv2.imshow("np_image", np_images[0])
cv2.waitKey()
The library can be found here: https://github.com/bunkahle/gif2numpy It is not dependent on PIL or pillow for this like imageio.
There are two methods to read an image in OpenCV, one is using Mat the other one using IplImage. I see you have used the former one. You can try with the second argument of imread also:
image = imread("image.jpg", CV_LOAD_IMAGE_COLOR); // Read the file
else use IplImage
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include <opencv2/core/core.hpp>
IplImage* src = 0;
if( (src = cvLoadImage("filename.jpg",1)) == 0 )
{
printf("Cannot load file image %s\n", filename);
}
If they don't work please check if you have installed libjpeg, libtiff and other dependencies for reading an image in OpenCV.
Hope it would help.
Related
from kivy.uix.image import Image
self.img = Image(source="image") # This works when image is an PNG image
self.img = Image(source="image.jpg") # This works when image.jpg is a JPG image
self.img = Image(source="image") # This doesn't work when image is a JPG image
I need to specify images without extention for the app to be generic (working with more image types). Can I achieve it somehow?
Kivy is using "imghdr" to determine the image type here, and as a fallback it uses the file extension here.
That explains why the image loads fine when it has a file extension, even though "imghdr" can't find the file type in the file's content.
I tested on a list of JPEG files, and each time "imghdr" was able to detect the file type each time. That is done here im imghdr. Notably, "imghdr" does not consider the file extension.
$ python
>>> import os, imghdr
... for f in os.listdir('.'):
... print('%s -- %s' % (f, imghdr.what(f)))
Maybe the JPEG file is missing the "JFIF" or "Exif" string that imghdr is looking for? You could use hexedit to see if one of those string is present at Byte 6 of the image file.
my goal is to capture a frame from a rtmp stream every second, and process it using OpenCV. I'm using FFmpeg version N-71899-g6ef3426 and OpenCV 2.4.9 with the Java interface (but I'm first experimenting with Python).
For the moment, I can only take the simple and dirty solution, which is to capture images using FFmpeg, store them in disk, and then read those images from my OpenCV program. This is the FFmpeg command I'm using:
ffmpeg -i "rtmp://antena3fms35livefs.fplive.net:1935/antena3fms35live-live/stream-lasexta_1 live=1" -r 1 capImage%03d.jpg
This is currently working for me, at least with this concrete rtmp source. Then I would need to read those images from my OpenCV program in a proper way. I have not actually implemented this part, because I'm trying to find a better solution.
I think the ideal way would be to capture the rtmp frames directly from OpenCV, but I cannot find the way to do it. This is the code in Python I'm using:
cv2.namedWindow("camCapture", cv2.CV_WINDOW_AUTOSIZE)
cap = cv2.VideoCapture()
cap.open('"rtmp://antena3fms35livefs.fplive.net:1935/antena3fms35live-live/stream-lasexta_1 live=1"')
if not cap.open:
print "Not open"
while (True):
err,img = cap.read()
if img and img.shape != (0,0):
cv2.imwrite("img1", img)
cv2.imshow("camCapture", img)
if err:
print err
break
cv2.waitKey(30)
Instead of read() function, I'm also trying with grab() and retrieve() functions without any good result. The read() function is being executed every time, but no "img" or "err" is received.
Is there any other way to do it? or maybe there is no way to get frames directly from OpenCV 2.4.9 from a stream like this?
I've read OpenCV uses FFmpeg to do this kind of tasks, but as you can see, in my case FFmpeg is able to get frames from the stream while OpenCV is not.
In the case I could not find the way to get the frames directly from OpenCV, my next idea is to pipe somehow, FFmpeg output to OpenCV, which seems harder to implement.
Any idea,
thank you!
UPDATE 1:
I'm in Windows 8.1. Since I was running the python script from Eclipse PyDev, this time I run it from cmd instead, and I'm getting the following warning:
warning: Error opening file (../../modules/highgui/src/cap_ffmpeg_impl.hpp:545)
This warning means, as far as I could read, that either the file-path is wrong, or either the codec is not supported. Now, the question is the same. Is OpenCV not capable of getting the frames from this source?
Actually I have spent more that one day to figure out how to solve this issue. Finally I have solved this problem with the help of this link.
Here is client side code.
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
using namespace cv;
int main(int, char**) {
cv::VideoCapture vcap;
cv::Mat image;
const std::string videoStreamAddress = "rtmp://192.168.173.1:1935/live/test.flv";
if(!vcap.open(videoStreamAddress)) {
std::cout << "Error opening video stream or file" << std::endl;
return -1;
}
cv::namedWindow("Output Window");
cv::Mat edges;
for(;;) {
if(!vcap.read(image)) {
std::cout << "No frame" << std::endl;
cv::waitKey();
}
cv::imshow("Output Window", image);
if(cv::waitKey(1) >= 0) break;
}
}
Note: In this case I have created a android application to get real time video and send it to rtmp server wowza which is deployed in PC.So that is where I created this c++ implementation for real time video processing.
python -c "import cv2; print(cv2.getBuildInformation())"
check build opencv with ffmpeg。If it is correct, your code should be fine。
If not, rebuild opencv with ffmpeg。
Under osx
brew install opencv --with-ffmpeg
In opencv 2.4.6. I am trying to load a mat image file with a simple code given below. But the image is not loaded as I print the image size, it is showing '0'. Can anybody please tell me , what is going wrong?
int main(int argc, char argv[])
{
Mat a=imread("C:/image3.jpg");
cv::Size frame11_size = a.size();
printf("%d",frame11_size.height);
return 0;
}
Update: I solved the problem. The problem was, I was only including all the library,include and additional dependencies in 'debug mode' only. I did not change anything in 'release mode'. When I change the properties in 'release mode' as-well, it worked. thanks all for your kind responses, I am giving '+1' for your answers.
I think there should be single slash on your image path, and always check whether image is successfully loaded.
Mat a=imread("C:/image3.jpg");
if(! a.data ) // Check for invalid input
{
cout << "Could not open or find the image" << std::endl ;
return -1;
}
OpenCV can't open jpg files by itself. It depends on third parties to do so. Maybe you are missing certain dlls, or maybe your OpenCV installation don't have the right path to them. To test this assumption store your image in other formats. For example pgm or ppm. Those formats does not perform any encoding and just store image buffer in file as is. As a result OpenCV will not need any external libraries to open image in ppm format.
I am using batik library for image conversion , I need to convert jpeg/png to tiff format.
Can anyone help me on how to do the conversion using batik (preferable) , because i am using the same library for other SVG conversions.
You could probably do PNG - > SVG - > TIFF conversion.
This link should point you in the right direction:
http://xmlgraphics.apache.org/batik/tools/rasterizer.html
check the "Examples of using the rasterizer task" section.
Hope this helps.
I am trying to stitch multiple images by using JavaCV 0.1 and OpenCV 2.4.0 in Java, i use this code for stitching images :
stitcher = Stitcher.createDefault(false);
MatVector images = new MatVector(imageN.size());
for(...){
CvArr image = cvLoadImage(imageN);
images.put(index,image);
}
MatVector result = new MatVector(1);
int status = stitcher.stitch(images,result);
if( status == stitcher.OK )
{
cvSaveImage(result.getIplImage(0));
}
NOTE 1 : Loaded images in this example are valid image for stitching.
NOTE 2 : C++ version of the code runs with no problem on current configuration
In stitcher.stitch method opencv throws an assertion exception such as "k == MAT". How should i fix this? Is MatVector usage is right in this sample code?
Thanks...
I found it, it is a bug related with JavaCv.
Actually JavaCv is not guilty.OpenCV stitcher API uses cv::OutputArray for returning stitched image but this method casts cv::OutputArray to cv::Mat when executing. JavaCV ports OpenCV method only by using parameter interface and so it converts the parameter as std::vector, this results as a assertion failure.
It is required to convert std::vector to Mat to make it working. I don't know any other way exist for this conversion but otherwise it is possible to be fixed by only lib's author.
It is said that c++ version is working but in fact, it is working when pano parameter is given as cv::Mat, when std::vector is entered it gives the same failure assertions again.