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  1. Nov 2018
  2. blog.paperspace.com blog.paperspace.com
    Tutorial on implementing YOLO v3 from scratch in PyTorch
    3
    1. lakj 30 Nov 2018
      three bounding boxes

      B = 3

    2. lakj 30 Nov 2018
      (B x (5 + C))

      I think there is an error, by looking at the original YOLO paper we have: S x S x ( B*5 + C )

    3. lakj 30 Nov 2018
      For example, if the stride of the network is 32, then an input image of size 416 x 416 will yield an output of size 13 x 13. Generally, stride of any layer in the network is equal to the factor by which the output of the layer is smaller than the input image to the network.

      416 / 32 = 13

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    blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/
  3. Oct 2018
  4. towardsdatascience.com towardsdatascience.com
    R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
    1
    1. lakj 19 Oct 2018
      R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
      cnn computer-vision object-recognition image-segmentation
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    towardsdatascience.com/r-cnn-fast-r-cnn-faster-r-cnn-yolo-object-detection-algorithms-36d53571365e