UNET Implementation in PyTorch | Semantic Segmentation

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  • เผยแพร่เมื่อ 8 พ.ย. 2024

ความคิดเห็น • 28

  • @isaacbaffoursenkyire1018
    @isaacbaffoursenkyire1018 2 ปีที่แล้ว +5

    So far this is my best video I have ever watched on UNET, thank you sir. You make it so simple and very easy to follow.

    • @IdiotDeveloper
      @IdiotDeveloper  2 ปีที่แล้ว

      Thanks for your valuable feedback. 👍

  • @joyli9106
    @joyli9106 ปีที่แล้ว +1

    Very clear explanation. Thank you!

  • @gurinderjeetkaur8087
    @gurinderjeetkaur8087 3 ปีที่แล้ว +1

    excellent explanantion

  • @rs9130
    @rs9130 3 ปีที่แล้ว +1

    Please make video on how to use pretrained weights as encoder backbone. Also need fcn model video

  • @tilkesh
    @tilkesh ปีที่แล้ว +1

    Thank you

  • @timandersen8030
    @timandersen8030 ปีที่แล้ว

    Thanks for the video. Shouldn't the nn.MaxPool2d function have stride 2 as seen in the paper @14:37 ?? This implementation only set the kernel size as the parameter for the nn.MaxPool2d function.

  • @Mosa-wu1zq
    @Mosa-wu1zq 2 ปีที่แล้ว

    waiting for the second part of this vedio.

    • @IdiotDeveloper
      @IdiotDeveloper  2 ปีที่แล้ว

      So, what should include in next part? Any suggestions.

    • @Mosa-wu1zq
      @Mosa-wu1zq 2 ปีที่แล้ว +1

      @@IdiotDeveloper training part

  • @punamsarmah3436
    @punamsarmah3436 3 ปีที่แล้ว +2

    Can you please help me out with how we can calculate IoU for semantic segmentation in each class. In case of video scene parsing dataset like CamVid etc.

  • @miralpatel4134
    @miralpatel4134 3 ปีที่แล้ว +1

    Excellent....can u give me video link for training phase

    • @IdiotDeveloper
      @IdiotDeveloper  3 ปีที่แล้ว

      The video tutorial for the training is still not uploaded. It will be uploaded soon.

  • @Teddytx-ss6fx
    @Teddytx-ss6fx 3 ปีที่แล้ว +1

    well explained as always

    • @IdiotDeveloper
      @IdiotDeveloper  3 ปีที่แล้ว

      🙏 Thanks 🙏

    • @Teddytx-ss6fx
      @Teddytx-ss6fx 3 ปีที่แล้ว

      @@IdiotDeveloper when are you going to keep doing TensorFlow and semantic segmentation topic?

    • @IdiotDeveloper
      @IdiotDeveloper  3 ปีที่แล้ว +1

      Don't worry. I will keep uploading videos related to semantic segmentation in TensorFlow. I just want to expand my tutorials to both TensorFlow and PyTorch.

  • @vidhichaudhary861
    @vidhichaudhary861 3 ปีที่แล้ว

    Hi Sir, Can you please clarify how can we know how many hidden layers are there in this architecture and how can we know about no. of neurons. Also, what all learning parameters can we try changing for getting better results? Thank you.

  • @rs9130
    @rs9130 3 ปีที่แล้ว

    how to use pretrained weights in the encoder.

  • @yoganandaseethepalli8079
    @yoganandaseethepalli8079 3 ปีที่แล้ว +1

    Bhai, can we do both object detection and instance segmentation with UNET ?

    • @IdiotDeveloper
      @IdiotDeveloper  3 ปีที่แล้ว

      UNET is only designed for semantic segmentation. It cannot be used for instance segmentation and object detection

    • @yoganandaseethepalli8079
      @yoganandaseethepalli8079 3 ปีที่แล้ว

      @@IdiotDeveloper which algorithm is best for both detection and segmentation, can u suggest ?

    • @IdiotDeveloper
      @IdiotDeveloper  3 ปีที่แล้ว

      You can go for Mask-RCNN.

    • @yoganandaseethepalli8079
      @yoganandaseethepalli8079 3 ปีที่แล้ว

      @@IdiotDeveloper can u please make a tutorial explaining the implementation of Mask-RCNN

  • @El_Mr_Misterioso
    @El_Mr_Misterioso 10 หลายเดือนก่อน

    So, for 4 classes, out channels should be 4?

  • @aguirrediana8110
    @aguirrediana8110 3 ปีที่แล้ว

    Hiii, hey!! can help me? i send inbox in facebook