You would use the area-fill (^) geometry modifier on the -resize operation to unify the down-scale. For cropping the center, -extent with -gravity Center will work. convert input.jpg -resize 100×100^ \ -gravity Center \ -extent 100×100 \ output.jpg Update As Mark Setchell pointed out in the comments, the mogrify utility can be leveraged to batch … Read more
First, take note that the measurement unit for PDF is the same as for PostScript: it’s called a point [pt]. 72 points == 1 inch == 25.4 millimeters Assuming you have a page size of A4. Then the media dimensions are: 595 points width == 210 millimeters 842 points height == 297 millimeters Assuming you … Read more
You can use centerCrop() or fitCenter() methods: Glide.with(context) .load(url) .centerCrop() .placeholder(R.drawable.default_image) .into(img) or Glide.with(context) .load(url) .fitCenter() .placeholder(R.drawable.default_image) .into(img) You can also find more information at: https://futurestud.io/tutorials/glide-image-resizing-scaling
Splitting image to tiles of MxN pixels (assuming im is numpy.ndarray): tiles = [im[x:x+M,y:y+N] for x in range(0,im.shape[0],M) for y in range(0,im.shape[1],N)] In the case you want to split the image to four pieces: M = im.shape[0]//2 N = im.shape[1]//2 tiles[0] holds the upper left tile
In Linux you can use mogrify -crop {Width}x{Height}+{X}+{Y} +repage image.png for CLI image manipulation
If you are trying to generate thumbnails, you must first resize the image using imagecopyresampled();. You must resize the image so that the size of the smaller side of the image is equal to the corresponding side of the thumb. For example, if your source image is 1280x800px and your thumb is 200x150px, you must … Read more
I have managed to grab bits of code from various sources and stitch this together. It is still a work in progress. Also, do you have any example images? ”’ Sources: PIL to OpenCV image Computer vision: OpenCV realtime face detection in Python ”’ #Python 2.7.2 #Opencv 2.4.2 #PIL 1.1.7 import cv import Image def DetectFace(image, … Read more
Take a look at the -t and -ss arguments. They should do what you want. -t duration Restrict the transcoded/captured video sequence to the duration specified in seconds. hh:mm:ss[.xxx] syntax is also supported. -ss position’ Seek to given time position in seconds. hh:mm:ss[.xxx] syntax is also supported. For example, ffmpeg -ss 30 -t 70 -i … Read more
I used this method to crop the image and it works perfect: Bitmap bmp = BitmapFactory.decodeResource(getResources(), R.drawable.xyz); Bitmap resizedBmp = Bitmap.createBitmap(bmp, 0, 0, yourwidth, yourheight); createBitmap() takes bitmap, start X, start Y, width & height as parameters.
I am not sure if I understood correctly. It must be either of the two, that you want, I guess. In your image view set the attribute android:scaleType=”fitXY” to fit the ImageView completely. You can choose android:scaleType=”centerCrop” to crop Center.