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  1. Masking images with cv-cat

    . The mask filter allows you to run a pipeline of almost any filters available in cv-cat on an image to generate the mask and then apply it to the original image … an image. To try it, right-click on the original image and save it on your computer as rippa.png. rippa.png > # mask image > cv-cat --file rippa.png "mask=linear
    ACFR Software BlogFeb 07, 2017
  2. cv-cat view: an issue of running multiple instance of it

    () call or deeper in X-windows-related stuff, thus, at the moment, it seems to be out of our control. Use the following instead: > cat images.bin | cv-cat "view … Recently, we found that cv-cat view stopped working properly, when used several times in the same cv-cat call. Something like > cat images.bin | cv-cat "view
    ACFR Software BlogNov 22, 2017
  3. Morphology operations in cv-cat

    A brief notification on the latest additions to cv-cat (and all other camera applications linking in the same filters). As of today, the application provides … for comparative evaluation of several thinning algorithms (highly recommended!) Some examples of usage are given below. Erosion Input image spots.png Processing cv-cat
    ACFR Software BlogJul 21, 2017
  4. cv-cat accumulate: more ways to accumulate images

    A few new features have been added to cv-cat accumulate filter. Before, it accumulated images as sliding window of a given size. Now, you could also ask … of the input > ( yes 255 | csv-to-bin ub ) | cv-cat --input 'no-header;rows=64;cols=64;type=ub' 'count;view=0;null' > # accumulate as sliding window of size 4 > ( yes
    ACFR Software BlogNov 22, 2017
  5. labeling images with cv-cat view

    Suppose, you need to go through a dataset to pick images for your classification training data. cv-cat view can be used for basic browsing, selecting images, and assigning a numeric label to them: cat images.bin | cv-cat "view=0,,png" The command above will show the image and wait a key press: Press whitespace
    ACFR Software BlogDec 08, 2017
  6. k-means for pixel clustering in cv-cat

    cv-cat is now able to perform pixel clustering by color using the k-means algorithm. for example: > cv-cat --file rippa.png "convert-to=f,0.0039;kmeans=4;view;null" --stay input image: rippa.png output image (4 clusters): rippa_posterized.png
    ACFR Software BlogNov 13, 2017
  7. cv-cat tee: process your images and view them, too (but differently)

    can do it with cv-cat tee. For example: > # make a test image > ( echo 20170101T000000,64,64,0 | csv-to-bin t,3ui; yes 255 | head -n $(( 64 * 64 )) | csv … image.bin; done | cv-cat --fps 1 "count;tee=invert|view;resize=2" | cv-cat "view;null" You could specify (almost) any pipeline in your tee filter, but viewing
    ACFR Software BlogNov 22, 2017
  8. cv-calc: multiple region of interests

    --binary=8ui,t,3ui,s[21723870] --fields 9-13 \ > masked.bin > # crop out 2 rectangles ( csv-bin-cut not needed in this case ) > cv-cat --file … %2F70452390%2F20180101T000000.jpg. > # mask in 2 rectangles > cv-cat --file 20180101T000000.jpg \ | csv-paste "value=800,500,1600,1700,2500,750,3100,1700
    ACFR Software BlogJul 05, 2018
  9. cv-cat's Accumulated and Forked Arithmetic Operations

    This is a brief introduction to cv-cat new filters:   Filter: Accumulated This filter is used to calculate pixel-wise (and channel-wise) average from the sequential series of input images. As it relies on the sequential accumulated input images, this filter is run in serial mode in cv-cat. This as implications
    ACFR Software BlogJul 17, 2017
  10. cv-calc random-crop: crop random rectangles from images

    of the same image would have different filenames.) > cat your-image-data.bin | cv-calc thin --rate 0.01 | cv-calc random-crop --width 300 --height 200 --count 4 | cv-cat "file=png,index" See cv-calc --help for more configuration options.  
    ACFR Software BlogJun 04, 2018