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1000 results for “recursive”

  1. What if you could generate "impossible" recursive geometry in 5 seconds? 🤯 If you are a #tattooartist, #digitalcreator, or #laserfabricator, you are probably wasting hours manually copying and rotating shapes to get perfect symmetry. www.nbloglinks.com/omnigeometry/ #GeometricDesigns #Software #AI

    OmniGeometry : Create Impossib...

  2. What if you could generate "impossible" recursive geometry in 5 seconds? 🤯 If you are a #tattooartist, #digitalcreator, or #laserfabricator, you are probably wasting hours manually copying and rotating shapes to get perfect symmetry. www.nbloglinks.com/omnigeometry/ #GeometricDesigns #Software #AI

    OmniGeometry : Create Impossib...

  3. #AI #Research has an incredible #recursive find out what you don't know so you can find out how to ask what else you don't know property. And in another view, #generate the first report. #Chop it into pieces. #Explode the piece. Rinse and repeat as needed. #Prompt #consistency is essential.

  4. #AI #Research has an incredible #recursive find out what you don't know so you can find out how to ask what else you don't know property. And in another view, #generate the first report. #Chop it into pieces. #Explode the piece. Rinse and repeat as needed. #Prompt #consistency is essential.

  5. To search for Google API keys recursively in the current folder and its sub-folders with ripgrep:

    rg 'AIza[0-9A-Za-z\-_]{35}' -o

    Also shared on Shodan Snippets:

    snippets.shodan.io/c/FHw2r7wWI

    #Security #OneLiner #Google #GoogleAPIKeys #APIkeys #ripgrep #Regex #BugBounty #Snippet

  6. To search for Google API keys recursively in the current folder and its sub-folders with ripgrep:

    rg 'AIza[0-9A-Za-z\-_]{35}' -o

    Also shared on Shodan Snippets:

    snippets.shodan.io/c/FHw2r7wWI

    #Security #OneLiner #Google #GoogleAPIKeys #APIkeys #ripgrep #Regex #BugBounty #Snippet

  7. To search for Google API keys recursively in the current folder and its sub-folders with ripgrep:

    rg 'AIza[0-9A-Za-z\-_]{35}' -o

    Also shared on Shodan Snippets:

    snippets.shodan.io/c/FHw2r7wWI

    #Security #OneLiner #Google #GoogleAPIKeys #APIkeys #ripgrep #Regex #BugBounty #Snippet

  8. To search for Google API keys recursively in the current folder and its sub-folders with ripgrep:

    rg 'AIza[0-9A-Za-z\-_]{35}' -o

    Also shared on Shodan Snippets:

    snippets.shodan.io/c/FHw2r7wWI

    #Security #OneLiner #Google #GoogleAPIKeys #APIkeys #ripgrep #Regex #BugBounty #Snippet

  9. Генерация лабиринтов с использованием алгоритма Recursive backtracker

    Расскажу о том, как сгенерировать рандомный лабиринт используя алгоритм Recursive backtracker. Все подробности об алгоритме, структуре кода, асимптотике и итоговых лабиринтах здесь.

    habr.com/ru/articles/1002460/

    #лабиринт #алгоритм #Recursive_backtracker #как_написать #визуализация #рандомная_генерация

  10. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  11. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  12. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  13. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  14. Parts Shortage Forces Creativity for this Recursive Clock of Clocks - We’ve been seeing a lot of metaclocks lately — a digital clock whose display is fo... - hackaday.com/2021/07/25/parts- #clockhacks #lightpipe #metaclock #neopixel #digital #analog #clock #meta

  15. From regular to irregular polygon / Polygon recursive division based on centroïd and a variable amount of randomness. Subdivision ends when polygon has reached a minimal perimeter. Vector output.

    #generativeart #paperjs #svg #vectorart

  16. > writes a shell function recursively
    > would’ve been easier to output to file and for-loop

    sometimes programming at 2am does go bad :gutkato_hihias:

    replace_emojis() {
    	local post_data="$1"
    	local emojis="$2"
    
    	if test -n "$post_data" -a -z "$emojis"; then
    		# Init case; start subsitutions in next level of recursion
    		replace_emojis \
    			"" \
    			"$(echo "$post_data" \
                		| jq -r '.emojis[]|(.url + "\t" + .shortcode)')"
    	elif test -n "$emojis"; then
    		# Substitute the current emoji (first line of $emojis)
    		local url="$(echo "$emojis" | head -1 | awk '{print $1}')"
    		local shortcode="$(echo "$emojis" | head -1 | awk '{print $2}')"
    
    		sed "s%:${shortcode}:%<img src='$url'>%g" \
    			| replace_emojis \
    				  "" \
    				  "$(echo "$emojis" | tail +2)"
        else
    		# End-case; $emojis is empty, so our job is done.
    		# Just print the results.
    		cat
    	fi
    }
    

    #lang_en #programming #shell #gnu #linux #lignux

  17. This article introduces a Tiny Recursive Model (TRM) with only 7M parameters that outperforms many large LLMs on reasoning benchmarks like ARC-AGI, achieving 45% accuracy on ARC-AGI-1 and 8% on ARC-AGI-2. #AIResearch #EfficientAI #RecursiveReasoning arxiv.org/abs/2510.04871

    Less is More: Recursive Reason...

  18. No reason to centralize DNS recursive queries, but they got centralized anyway

    Vixie at #SCaLE18x