mosaic | Python script for creating photomosaic images | Computer Vision library

I'm trying to read a number of Siemens DICOM images with DCMTK, some of which are mosaic images. I'm looking for a quick way to find those.

What I can see with mosaic images is that this is specified in the ImageType tag, e.g.

The lidR package has a neat way to work with huge (pointcloud) datasets: The catalog function (doc here) avoids loading the dataset to memory and can treat mosaics [datasets that are spread across multiple (non-overlapping) tiles] as single dataset. It loads required tiles on-the-fly during computations in an intelligent way. It is great to avoid working with huge files (multiple GBs) and keep memory requirements lean if only working with small parts of the dataset.

Is there a similar convenient/memory-efficient/"lidR-catalog-way" to process large raster mosaics in R? Or more put in a more general way: Is there a way to work with mosaic raster datasets in R without merging them first?

I am aware of the mosaic (doc) and merge functions, which allow me to merge my tiled raster mosaic into a single raster dataset. I also found that gdal will do so a lot faster and memory efficient. Here is a R-snippet for this:

With a large number of variables, the sizing of tick mark labels is too large in barplots along the diagonal of a mosaic pairs plot created with pairs_barplot() in the R vcd package. Is there any way to make them smaller? Here is a minimal working example:

I am trying to automatically add multiple model evaluation parameters in lattice plot. I am using the following code

I recently started learning web scraping. I wanted to have some information about the Job ads in the "Indeed" website. My problem is that when I click on the job name, the site shows the job description on the right side. I want to have access to this part to get information out but I run into this problem every time :

Message: no such element: Unable to locate element: {"method":"css selector","selector":"[id="jobDescriptionText"]"}

I tried other ways , but I couldn't solve it , so How can I get access to that part without getting that Error?

I'm trying to stitch two pre-warped images together seamlessly using multi-band blending. I have two input images (that have already been warped) and one mask. However, when I apply MBB, the area surrounding the seams glow brighter and as a result, they become more visible which is the opposite of the objective here. I have absolutely no idea what I'm doing wrong.

To better explain the problem, here are the images and the output:

Target:

Source:

Mask:

And once I blend the source image into the target, this is what I get:

Here's my code for reference:

I want to perform the color calibration of my camera. That's why I search demosaic algorithm, which can provide the closest color to color of a real object. That's why I want:

• create synthetic images in OpenCV with known colors
• mosaic it
• pass it in an algorithm for estimation of efficiency

I use libraw for unpacking raw images and OpenCV for processing and storing them.

So, the question is, is there a library that can provide me different demosaic algorithms(i am ready to convert my synthetic image from Mat to C-style array) where I can pass my mosaic image and receive demosaic image. I think that it is possible to convert my image from tiff to dng and use RawTherapee for demosaicing, but it looks more complicated.

I have some issues trying to sum 15 rasters with these dimensions Col = 53241 rows=45598 cell size =30 meters, data type= float32. I used rasterio to perform this operation but I have a problem with memory. Any suggestions?

Thanks in advance

This the code

Section 6.2 of A Layered Grammar of Graphics says the following:

In the grammar, a pie chart is a stacked bar geom drawn in a polar coordinate system.

Similarly, the documentation for ggplot2's coord_polar says:

...