Amathuluzi omthombo ovulekile wokubona ngekhompyutha

Ukubona ngekhompyutha kuyinkambu ekhula ngokushesha.

I-Artificial intelligence ihlanganisa imikhakha eyahlukene, eziningi zazo zidinga ukubanjwa noma ukuhunyushwa kwezimpawu ezivela phesheya. Kulokhu okuthunyelwe sizobona amathuluzi omthombo ovulekile wombono wekhompyutha.

Ingenye yezinkambu eziningi lapho isofthiwe yomthombo wamahhala nevulekile ihola khona ezinye izindlela zobunikazi ezisebenza kahle kakhulu.

Kuyini umbono wekhompyutha?

Amakhompyutha akwazile ukuthatha izithombe isikhathi eside, kodwa ukumenza azi futhi asabele kuzo kuwumkhakha osuqalile eminyakeni yamuva. Intshisekelo kulolu hlobo lwekhono ikhule kusukela emizamweni yokuthuthukisa ubuchwepheshe bokubona ubuso kanye nomjaho wokuthuthukisa imoto yokuqala engashayeli.

Inselele iwukwenza ama-algorithms akwazi ukubona umumo, imibala, namaphethini ezithombeni ezithwetshulwe ngamakhompyutha., kanye nokubona ukunyakaza, ukulandelela izinto futhi uqonde indawo ezikuyo. Amathuluzi anamandla kakhulu asebenzisa ama-algorithms okufunda okujulile aqeqeshwe ezigidini zezithombe ezaziwayo ezizokuvumela ukuthi ubone amaphethini futhi wenze izibikezelo ngokuzayo.

Ngokungeziwe ezimotweni ezizimele, kukhona okunye ukusetshenziswa okungenzeka njengokuhlaziywa kwezithombe zezokwelapha noma ukutholwa kokukhubazeka emikhiqizweni ekhiqiziwe engabonakali ngeso lomuntu.

I-algorithm yokufunda ejulile ihlukile kuma-algorithms wokufunda wendabuko ngokuthi isekelwe kunethiwekhi ye-neural enezendlalelo eziningi ekwazi ukufunda ngokukhipha ulwazi olufanele kudatha yokufaka ngokwayo.

Amathuluzi omthombo ovulekile wokubona ngekhompyutha

Umtapo wolwazi wekhompyutha isethi yezinhlelo ezibhalwe ngaphambilini ezingasetshenziswa yilabo abasakha izinhlelo zokusebenza ezidinga amakhono okucubungula izithombe nevidiyo. Ukusebenzisa la mamitapo kukuvumela ukuthi unciphise isikhathi sokubhala amakhodi.

I-OpenCV

Es edume kakhulu ezitolo zezincwadi kulolu hlu. Inezinguqulo zezilimi zokuhlela iPython, Java, C++ neJavascript phakathi kwezinye. Ingafakwa ezinhlelweni zokusebenza zeWindows, Mac kanye ne-Android.

Okunye ukusetshenziswa kwe-OpenCV ukubonwa kobuso, ukutholwa kokunyakaza, ukuhlonza ukuthinta, nokutholwa kwento.

I-SimpleCV

Kumayelana yesethi yesofthiwe nemitapo yolwazi ethuthukiswe e-Python elungele izinhlelo zokusebenza ze-prototyping ezihambisana namakhamera ahlukene ewebhu, e-IP kanye namadivayisi eselula.

Akudingi ukufunda okuningi njengezinye izinketho.

I-DeepFace

Como igama lakhe ikhombisa, iyithuluzi lokusebenza ngobuso. Iwumtapo wezincwadi wePython okuvumela ukuthi uhlaziye ubuso ngesikhathi sangempela, ububone, wenze ukuqinisekiswa futhi uhlaziye izimfanelo zabo.

BoofCV

Le software Ibhalwe kusukela ekuqaleni futhi igxile ekucutshungulweni kwesithombe esisezingeni eliphansi, ukulinganisa kwekhamera, ukutholwa kwesici/ukulandelela, ukwenza iphethini yokunyakaza, nokubonwa. Konke lokhu ngesikhathi sangempela.

I-OpenVINO

Igama yalo mtapo wezincwadi uvela kwisifinyezo se-Open Visual Inference kanye ne-Neural Network Optimization. Iqukethe isethi yamathuluzi okuthuthukisa izinhlelo zokusebenza ezilingisa umbono womuntu. Ukusetshenziswa kwayo kudinga ukuba nemodeli eqeqeshwe ngaphambilini. Ukusetshenziswa kwayo kuhloselwe ukutholwa kwento, ukubonwa kobuso nokunyakaza kanye nemibala.

ama-albhamu

Es umtapo wezincwadi wePython osetshenziselwa ukuhlukaniswa kwezithombe, ukulinganisa kwesithombe, nokutholwa kwento.

Caffe

Kuyathakazelisa ukuthi iziqalo ze-Artificial Intelligence zibhekisela kanjani ekudleni, iwayini, ikhofi. Esimeni sakamuva kusho i-Convolutional Architecture yokushumeka kwesici esisheshayo. Ibhalwe ngo-C++, nakuba isekelwa izilimi eziningi kanye nezakhiwo ezihlukahlukene zokufunda ezijulile. Ilungele ukuhlukaniswa kwezithombe nokuhlukaniswa okuyenza ifaneleke kumaphrojekthi ocwaningo lwezemfundo, ama-prototypes emikhiqizo, kanye nezinhlelo zokusebenza zezimboni ezinkulu ezidinga amandla okubona, izwi, kanye ne-multimedia.

Kuyabonakala ukuthi kusekuningi okusamele kwenziwe emkhakheni we-Artificial Intelligence. Kodwa, ukuba khona kwemitapo yolwazi evulekile kusinika ithemba lokuthi izixazululo ezithuthukisiwe azilawulwa abambalwa.


Shiya umbono wakho

Ikheli lakho le ngeke ishicilelwe. Ezidingekayo ibhalwe nge *

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  1. Unomthwalo wemfanelo ngedatha: AB Internet Networks 2008 SL
  2. Inhloso yedatha: Lawula Ugaxekile, ukuphathwa kwamazwana.
  3. Ukusemthethweni: Imvume yakho
  4. Ukuxhumana kwemininingwane: Imininingwane ngeke idluliselwe kubantu besithathu ngaphandle kwesibopho esisemthethweni.
  5. Isitoreji sedatha: Idatabase ebanjwe yi-Occentus Networks (EU)
  6. Amalungelo: Nganoma yisiphi isikhathi ungakhawulela, uthole futhi ususe imininingwane yakho.