Easy way to Run Official YOLOv7 on Windows 11 in 12 Minutes | CPU & GPU

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  • เผยแพร่เมื่อ 4 ก.ย. 2024

ความคิดเห็น • 34

  • @Augmented_AI
    @Augmented_AI  2 ปีที่แล้ว +3

    Want to Learn YOLOv7 and solve real-world problems?
    🚀Get Notified of the Full YOLOv7 Course here - lnkd.in/dJ2j9ukU
    ☕ Buy me a Coffee/Chai - augmentedstartups.info/BuyMeCoffee

  • @srinath1314
    @srinath1314 หลายเดือนก่อน +1

    I want to do this in jupyter Notebook , can you help me out ?

    • @Augmented_AI
      @Augmented_AI  หลายเดือนก่อน

      @@srinath1314 let's discuss here chat.whatsapp.com/JTuIB3eEfDRGo0TL4RzqwB

  • @prasannaravijr1420
    @prasannaravijr1420 11 หลายเดือนก่อน

    Hi can you tell how to show bounding box and its values for an output of an image

    • @Augmented_AI
      @Augmented_AI  11 หลายเดือนก่อน

      Please join our WhatsApp group chat.whatsapp.com/JTuIB3eEfDRGo0TL4RzqwB

  • @florisvanderhout2675
    @florisvanderhout2675 ปีที่แล้ว +1

    thank you u are a legend

  • @randomgaming6353
    @randomgaming6353 7 หลายเดือนก่อน +1

    Summary here is that you can only use Yolo on an Nvidia Graphics Card due to CUDA

  • @brightamenu1617
    @brightamenu1617 ปีที่แล้ว +1

    I have followed all the steps ...but when I am testing , the rectangle does not appear on the objects..can you please help

    • @akbabu3007
      @akbabu3007 ปีที่แล้ว

      same problem help

  • @nitantsadadiwala2727
    @nitantsadadiwala2727 ปีที่แล้ว

    Could you please help me with training my custom model on Anaconda just the way you demonstrated on Google Collab?

  • @DarrylGaming598
    @DarrylGaming598 3 หลายเดือนก่อน

    What if the GPU is AMD, is that possible? And is there a tutorial?

  • @ranjithkumarkarthic8696
    @ranjithkumarkarthic8696 ปีที่แล้ว +2

    Hi, thanks for this wonderful session, I ran the code without any errors. Result image also saved. But their is no bounding box or any detection happens. Could you please help me to find why?

    • @Augmented_AI
      @Augmented_AI  ปีที่แล้ว

      Please join our whatsapp computer vision group chat.whatsapp.com/HuwhV3D7Wbo8qOO7l1doQq

    • @gase812
      @gase812 ปีที่แล้ว

      Im facing the same issue, did you manage to find a fix?

    • @rohanpokale4651
      @rohanpokale4651 ปีที่แล้ว

      Having same issue while inferencing on gpu, no detection. But it detects when set to cpu. Did you got the solution ??

    • @ranjithkumarkarthic8696
      @ranjithkumarkarthic8696 ปีที่แล้ว

      @@rohanpokale4651 Not I didn't

  • @joart333
    @joart333 2 ปีที่แล้ว +1

    Superb

  • @Bayuadityaprtma
    @Bayuadityaprtma ปีที่แล้ว

    How to detection video with cpu?

  • @ShtHappensBro
    @ShtHappensBro 2 ปีที่แล้ว +1

    You know best site that can train a database got about 500k images i need to train for aimbot already labeled.

    • @Augmented_AI
      @Augmented_AI  2 ปีที่แล้ว +1

      We actually plan on implementing an aimbot with yolov7 😁

    • @Augmented_AI
      @Augmented_AI  2 ปีที่แล้ว +1

      I can help training with my roboflow account

    • @ShtHappensBro
      @ShtHappensBro 2 ปีที่แล้ว

      @@Augmented_AI you pay 1k for roboflow lol?

    • @Augmented_AI
      @Augmented_AI  2 ปีที่แล้ว +1

      @@ShtHappensBro Contact me on www.augmentedstartups.info/whatsapp we can discuss further.

    • @ShtHappensBro
      @ShtHappensBro 2 ปีที่แล้ว

      @@Augmented_AI don't have whatsapp only discord

  • @anziledge326
    @anziledge326 ปีที่แล้ว

    Hi, I have cuda toolkit version of 11.2. I downloaded this because it gives tensorflow gpu support. But i cant find this cuda version in pytorch. What should i do ?
    If I install cuda toolkit 11.3 from nvidia, will it remove the existing cuda toolkit ?

    • @Augmented_AI
      @Augmented_AI  ปีที่แล้ว

      Hi! PyTorch supports CUDA 11.0, 11.1, and 11.2, but not 11.3. So, you can use the CUDA 11.2 toolkit that you have installed for GPU support in TensorFlow, but it may not be compatible with PyTorch.
      Regarding your question about installing CUDA 11.3, it is possible to have multiple versions of CUDA installed on your system. Installing CUDA 11.3 will not remove the existing CUDA 11.2 toolkit, but it may cause compatibility issues if you use both TensorFlow and PyTorch.
      It is recommended to stick with the version of CUDA that is compatible with both TensorFlow and PyTorch, which is 11.2 in your case. If you have a specific reason to use CUDA 11.3, you may need to manage the different CUDA versions and make sure that the correct version is being used when you run your programs.

  • @freeyt1849
    @freeyt1849 ปีที่แล้ว +1

    What gpu do you have ?

  • @alvindaakbar9788
    @alvindaakbar9788 ปีที่แล้ว

    My graphic card is AMD Radeon. Is there any other way to detect the images with my graphic card?

  • @rihabjdaida344
    @rihabjdaida344 2 ปีที่แล้ว

    the link to clone yolov7 plz