Dataset used for training

[Diksha-Moolchandani]

Dataset used for training

[Alexey-Kamenev]

For training and validation we used KITTI dataset. We used Stereo 2015 benchmark dataset only for evaluation, i.e. we did not train/fine-tune models on that dataset (it's too small anyway, 200 samples AFAIR).

[Diksha-Moolchandani]

What is the significance of input size for these models? The inputs in KITTI 2015 training set are of size (375, 1242). And the input size that is mentioned in ResNet-18_2D is 513x257. How am I suposed to run it?
./nvstereo resnet18_2D 1242 375 stereoDNN/models/ResNet-18_2D/TensorRT/trt_weights.bin left_image_path right_image_path ./disp

or

./nvstereo resnet18_2D 513 257 stereoDNN/models/ResNet-18_2D/TensorRT/trt_weights.bin left_image_path right_image_path ./disp

In any case the ground truth will be 1242x375 and then how will I find the error if I use the second method for inference?