Add Background image to 3D Plotly - Python - image

I have been trying to add an image to my 3D surface plots on Plotly; where the image is stored in a local file and I give the file path as an input to "source" in go.Layout; but it does not show up and shows no errors.
Plotly background images this doesn't work for me either; can someone explain it a bit more!
The final plot could look like this https://plot.ly/~empet/14397/plotly-plot-of-a-map-from-data-available/#/ where instead of json file,I just want to add am image.

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Fill Broken and Damaged Texts - OPENCV

I am trying to extract the text from an image using openCV and tesseract.
Since, we need to pass a clean image to tesseract to fetch the text properly with accuracy. But I am facing an issue related to preprocessing of an image using opencv.
How can i join the texts and get proper text to to pass to the tesseract?
image1(ORIGINAL IMAGE)
image2(PROCESSED IMAGE).

Oracle Autovue 3d image extraction with Zoom

I am using Oracle Autovue Server to extract 3d images from CAD file. We call Autovue server with CAD file and Autovue server extract the images in different formats like Isometric, Left, Right, Top etc. I would need the image should be extracted with Zoom fit. But I can not find any solution.
Following are the codes that I am using for zooming functionality:
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Matlab cpselect with RGB fixed image

I would like to be able to use the cpselect matlab tool (or a similar one) with the capability of showing both images (moving image and reference image) in RGB (I only managed to see moving image in RGB and reference image in grayscale).
Could someone point me to an alternative for this tool that would support this or anyway to be able to display both image in rgb in cpselect?
Thanks in advance.
Not sure what you're talking about, and I'm quite confused about your statement. cpselect is image independent. You can show both of them as colour or grayscale or one or the other. The example you're probably looking at is the one that comes with MATLAB: http://www.mathworks.com/help/images/ref/cpselect.html . One image is grayscale, while the other has a pinkish hue.
Here's an example showing both the source and target image as being in colour. I used onion.png that is a colour image that is part of the MATLAB system path:
im = imread('onion.png');
im_rotate = imrotate(im, 35);
cpselect(im, im_rotate);
We get:

I have generated a pdf file using matplotlib and I want to add a logo to this pdf file. How can I do it

I am using matplotlib to draw a graph using some data and I have saved it in Pdf format.Now I want to add a logo to this file.How can I do this.
Thanks in advance
If you can do it the other way round, it is easier:
plot the image
load the logo from file with, e.g. Image module (PIL)
add the logo with plt.imshow, use the extent keyword to place it correctly
save the image into PDF
(You may even want to plot the logo first, so that it stays in the background.)
Unfortunately, this does not work with vector graphics, but as logos usually are not that large, you may use a .png or even a .jpg.
If you already have the PDF's then this is not a matplotlib or python question. You need some PDF editing tools or libraries to add the logo. Possible, but an entirely different thing.

How to subset raster image using gdal?

I have read pixel values of an raster image using GDAL libraries in visual studio 2010(vc++).
Next is , I have to crop the image (subset) according to the grid given in shape file.
Forget about the grid this time.
I just want to clip square or rectangular area and save to new file.
I have read some documents which suggest about gdal_translate and gdal_warp function to use but it can only be run in python where as i want to use c++.
Please help me as early as possible.
I have solved the problem of cropping the image using VC++ with gdal libraries. I have created VRTDataset of my desired size of raster to be cropped and then save it using CreateCopy().

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