Complex-YOLOv4-Pytorch
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maudzung
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
I have a point cloud of a scene that contains some 3D objects in pcd, ply or bin format and without the jpg images, only the point cloud. I have...
I have some unlabeled files in kitti format, so I would like to see the predictions in real time, how does it work. How to start the real time detection...
@maudzung Hello, thanks for this great work. Does the complex-yolov4 network network support training rectangular BEV input ? I think the bev map input of rectangle is better than square...
Hi, as said in README, dropblock has been implemented in this repo, but I can not find where it is implemented.
Great works! Could you please tell me how is anchor box size been designed in this work? I'm a liitle confused with it. https://github.com/maudzung/Complex-YOLOv4-Pytorch/blob/d50e2d55c4aae6df5595cf2835a10731c0ff742f/src/config/cfg/complex_yolov4.cfg#L1146
How can I extract the resulting predicted files of test.py ? Like the coordinates of the bounding box etc.
Hello, the inference on my own dataset works very good. The bounding boxes in point cloud are exact. But the transformation to my camera data is not good. Where do...
@maudzung Hi, Nice work! Did you compare speed and accuracy of Complex-YOLOv4-Pytorch vs other algorithms on Kitti dataset? Is it still better in accuracy and speed than other competitors? ----...
Is there a way to display the output as a live continuous feed? I wanted to make a live lidar object detector to detect pedestrians, etc. Is it possible?
