how to implement to tiny yolo voc?

[Voltress]

how to implement to tiny yolo voc?

[paul-pias]

Any pull request is welcome. You may try changing the weight and cfg files to try on. But I would suggest you try new Object Detectors such as YOLOv4 or Yolact++.

[Voltress]

Thanks for your suggestion @paul-pias , but i want to ask you something more. In the formula distance = (2 * 3.14 * 180) / (w.item()+ h.item() * 360) * 1000 + 3, "w.item()+ h.item()" what do you mean w.item () + h.item (), do w and h be the width and height of the bounding box when detecting an object? or w and h is the frame size of the video / image used?

Thanks in advance

[paul-pias]

.item() is a Pytorch function to retrieve values out of a PyTorch Tensor. You can see the documentation for reference.

The width and height used in the formula are from each object's bounding box. The size of the frame had been declared globally with the variables self.height and self.width.

[HassanBinHaroon]

Check out the following relevant and easiest implementation.

https://github.com/HassanBinHaroon/object_detection-PLUS-distance_estimation-v1