I need to obtain the square version of my images using instagram API. I could obtain the original images in the original ratio (vertical or horizontal) but not the square version in an acceptable size. Here is the image I could get with the API, which is horizontal. I would want to get this square version that appears in my instagram profile.
I could also get the square image in a small size, but not the larger one.
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I'm working with satellite imagery (from Sentinel-2), in particular with cloud detection and cloud cleaning.
I got a batch of images of the same area, but in different periods:
From these images, you can see that the position of the clouds is always different.
I also have the mask for each image, where the black areas represent clouds:
These masks are not perfect, but this is not a problem.
What I want to do is to use the mask to cut all the white portions (so get the land and exclude the clouds), and then fill these cuts with a black portion of another image (fill the "hole" in the image with a part of another image without clouds).
Imagery is in TIFF format, while masks are in JPG format.
I'm using Python with libraries like Rasterio, numpy and scikit-image, so a Pythonic solution would be appreciated.
I have gone through canvas and SVG in html5. When it comes to the difference, It is mentioned that canvas is pixel based and SVG is vector based. I have not got what do they mean by these.
Thanks in advance
There is 2 way to register an image in your computer:
Register in pixel: It means that your image is register as a table of pixel. And in every box of your table a color is register. Such images, have a defined size (1 computer pixel for 1 table box). If you want to reduce the size, an algorithm will mix pixel to render a lower size image. And if you want to display bigger than it is you will see pixel or the image will become blurred.
Register in vector: This kind of image do not own a size. Indeed the file format register vector (direction and scale). And when you want to display it, you will specify a size and the computer will process your image to display it. If you zoom on the image (for example a line). You will never see pixels. Indeed every time you zoom, the image is reprocessed and a line stay a line.
I am an undergraduate student working with detecting defects on a surface of an object, in a given digital image using image processing technique. I am planning on using OpenCV library to get image processing functions. Currently I am trying to decide on which defect detection algorithm to use, in order to detect defects. This is one of my very first projects related to this field, so it will be appreciated if I can get some help related to this issue. The reference image with a defect (missing teeth in the gear), which I am currently working with is uploaded as a link below ("defective gear image").
defective gear image
Get the convex hull of a gear (which is a polygon) and shrink is slightly so that it crosses the teeth. Make sure that the centroid of the gear is the fixed point.
Then sample the pixels along the hull, preferably using equidistant points (divide the perimeter by a multiple of the number of teeth). The unwrapped profile will be a dashed line, with missing dashes corresponding to missing teeth, and the problem is reduced to 1D.
You can also try a polar unwarping, making the outline straight, but you will need an accurate location of the center.
I have a Geoserver which serves WMS layers. I have a requirement where I select a location which has latitude and longitude and corresponding to the latitude and longitude I have to fetch the value from WMS layer. I am not able to find a solution to this requirement. Any help is highly appreciated.
The WMS spec provides a GetFeatureInfo request that allows you to query a point on the map, however it uses image coordinates rather than map coordinates (lat/lon). Provided that your image is reasonably small you should be able to get away with assuming a linear relationship between the two coordinate systems so by using the bounds of the map (which you know from the WMS request bbox param) and the size of the image (also part of the WMS request) you should be able to convert a lat/lon pair to an image coordinate (remember to flip the Y-axis though, as the image origin is top left).
I have developed a user control for my windows 8.1 app. I want to rotate the control at a certain angle may me 180 degrees .
I am using RotateTransform and the image is rotating at one go !! I want a smooth rotation and the complete rotation should happen in 1 sec.
Above is the image of my user control
The image rotates only when the tapped point is very near to image boundary !
when my finger reaches the image boundry , the control should keep itself inside the image so it would rotate
Have this video link for your reference. I have to develop exactly like this.This is my code