I trained the model, it is working fine for the Kitti dataset images. I went through your prediction code and found you are using ground truth labels for generating predictions. You are creating an image patch using the ground truth labels and feeding that patch to the trained model instead of just raw images. So, what if I do not have ground truth labels which is normal for testing images or videos?
I trained the model, it is working fine for the Kitti dataset images. I went through your prediction code and found you are using ground truth labels for generating predictions. You are creating an image patch using the ground truth labels and feeding that patch to the trained model instead of just raw images. So, what if I do not have ground truth labels which is normal for testing images or videos?