YOLOP
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You Only Look Once for Panopitic Driving Perception.(MIR2022)
Can someome share additional details as to how retrain with addional class ? For instance Rider
In our research we will try to reduce the computational cost of the pretrained model. Can I ask some help? I really want to pursue this research.
When i try to test the model generalization with coco datasets, I got this error: -------------------------------------------------------------------------------------------------------- UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify...
Hello, I have trained the yolop model for 13 classes. Now, I want to run inference on NVIDIA Jetson AGX device and for that I am trying to export the...
Could you please give inform us about the epochs that the pretrained model was trained and also about the batch-size used? Thank you in advance
I found there are a lot of "Add-Clip-Div" architecture in yolop-320-320.onnx:  Where does they come from ?
I find that YOLOP is trained on RGB images, While loading images for train/val, in AutoDriveDataset.py, its mentioned this : img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) but while loading data for demo.py,...