Image Segmentation with K-Means Clustering in Python

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  • Опубликовано: 10 ноя 2024

Комментарии • 16

  • @benoitchouinard1056
    @benoitchouinard1056 Год назад +16

    This is the best Python RUclips channel out there. It’s literally an amazing library of knowledge, thank you.

  • @anastasiiaandrusyshyna735
    @anastasiiaandrusyshyna735 Год назад +2

    i spent half day trying to fallow my book, fell through rabbit halls surching online and here you are in 15 min i got the idea !!!

  • @bozok1903
    @bozok1903 Год назад +4

    I have just started to read about K-means algorithm and saw your video. It is going to be a good start for me. Thank you.

  • @IT_psychopath
    @IT_psychopath Год назад +1

    Thank you. That's very helpful.

  • @tcgvsocg1458
    @tcgvsocg1458 Год назад +1

    it can be really interesting if you take a fragment of picture like for example nose of dog and you submit to many video of dog and soft know where nose is location on video and each time we see a dog nose on screen it appear a red flag

  • @hamzaomari7052
    @hamzaomari7052 Год назад +2

    I like your IDE what is it ?

  • @Ricocase
    @Ricocase Год назад +1

    Can a similarity score be applied?

  • @pldvs
    @pldvs Год назад +1

    Nice. Thanks.

  • @trunghieule8975
    @trunghieule8975 11 месяцев назад +1

    can i ask you a question: which program do you use to code ?

    • @Ivan-xo2td
      @Ivan-xo2td 10 месяцев назад +1

      He is using Jupiter’s Notebook

  • @masoudnaserian7973
    @masoudnaserian7973 Год назад +2

    how can i found source code from this movie?

  • @Rumo_Ao_Abismo
    @Rumo_Ao_Abismo 4 месяца назад

    Awesome!!!

  • @hosseinsalimi3228
    @hosseinsalimi3228 3 месяца назад

    Do you have the jupyter file in this tutorial?

  • @prabhpreetsingh8665
    @prabhpreetsingh8665 9 месяцев назад

    half of the time the new image is more heavy than the original one

  • @ArjunKrishna-o9v
    @ArjunKrishna-o9v 10 месяцев назад

    THis is not that good. Should have explained more. I had to litreally go through all the commands you just put there...