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Commits on Sep 18, 2018

• refactor: Update demo notebook

  voeykovroman

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• docs: Fix some typos

  voeykovroman

  committed
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• feat: Add optional using of parallel computation on multiple GPUs

  voeykovroman

  committed
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• feat: Update Readme

  voeykovroman

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• feat: Add txt with paths for downloading KITTI dataset

  voeykovroman

  committed
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• feat: Add number of workers as a parameter for dataloader

  voeykovroman

  committed
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• fix: Fix bug with class names

  voeykovroman

  committed
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Commits on Sep 17, 2018

• refactor: Remove import of unused modules

  voeykovroman

  committed
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• feat: Add passing of argument for downloading of pretrained models

  voeykovroman

  committed
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• feat: Add chosing of arbitrary resnet model from torchvision as encoder

  voeykovroman

  committed
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Commits on Sep 13, 2018

• feat: Add saving of the last model and validation before the beginning of training

  voeykovroman

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Commits on Sep 12, 2018

• feat: Add model with useful functions

  voeykovroman

  committed
  f9e24c2

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• refactor: Updated demo notebook

  voeykovroman

  committed
  8c280a9

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• feat: Add val dataloader and saving model which performs best on val data

  voeykovroman

  committed
  5d82b52

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• refactor: Add transforms to separate file. DRemoved unnecessery variable tensor.type

  voeykovroman

  committed
  0050cd8

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• fix: Change type of image loader

  voeykovroman

  committed
  f05e7a6

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• refactor: Remove unused loader

  voeykovroman

  committed
  0849b4e

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• refactor: Update gitignore

  voeykovroman

  committed
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Commits on Sep 11, 2018

• fix: Merge with disp_from_skip branch to fix unused low scaled disparities

  voeykovroman

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• fix: Normalization of shifts in apply_disparity

  askorikov

  committed
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Commits on Sep 10, 2018

• Merge pull request #6 from tanmaniac/master

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  askorikov

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• fix: Use absolute values when summing gradients

  askorikov

  committed
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Commits on Sep 9, 2018

• fix: Add a newline before animation

  askorikov

  committed
  7e94c69

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• refactor: Logic of passing tensor type between functions

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  askorikov

  committed
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Commits on Sep 8, 2018

• Correctly add image gradients instead of concatenating lists

  tanmaniac

  committed
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Commits on Aug 14, 2018

• fix: Fixed loss calculation for all batches in one epoch.

  

  voeykovroman

  committed
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Commits on Aug 12, 2018

• refactor: Replace nn.functional.sigmoid with nn.Sigmoid to avoid warning messages

  

  voeykovroman

  committed
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• fix: Fixed bug for resnet18 where disparities from skip connections were not used in cat operation (except the last layer). Also replaced nn.Upsample with nn.functional.interpolate to avoid warning…

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  voeykoroman

  committed
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• Merge pull request #5 from ClubAI/tensor_type

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  voeykovroman

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Commits on Aug 2, 2018

• enhance: Logic of passing tensor type between functions

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  askorikov

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• fix: Passing tensor and device types between functions

  askorikov

  committed
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Commits on Aug 1, 2018

• feat: Make apply_disparity a method of loss class instead of detached function

  askorikov

  committed
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• feat: Use PyTorch's grid_sample instead of handmade bilinear sampler

  askorikov

  committed
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Commits on Jun 29, 2018

• docs: Add encoder name for presented results and pretrained model

  voeykovroman

  committed
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Commits on Jun 27, 2018

• docs: Add data folder structure

  NikolasEnt

  authored
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