kiriakospapa

Hello, Apologies for not stating my question clearly. My goal is to include in the loss for training, the difference between the predicted translation vector and ground truth translation vector...

Also the code from sequence_folders.py ``` def __init__(self, root, seed=None, train=True, sequence_length=3, transform=None, target_transform=None): np.random.seed(seed) random.seed(seed) self.root = Path(root) scene_list_path = self.root/'train.txt' if train else self.root/'val.txt' self.scenes = [self.root/folder[:-1] for...

Thank you very much Clement for you usefull feedback and for the guidance to the paper from Toyota, I was not aware of it! I assume that when you say...

Hello Clement, Aplogies for reopening the issue after closing it at first place. Initially, I tried the way that I mentioned, but I figure out that its way more complicated...