GitLab

* fix

* add docs for VisionDataset

* add getitem

* add deprecated note to transform

* Update torchvision/datasets/vision.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* fix docs

* Update torchvision/datasets/vision.py

* flake8
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Fixed read_image bug

* Removed unused import

* Skip tests if cv2 unavailable

* Removed cv2 dependency

* [doc] add minimum input size for alexnet builder

* [doc] add minimum input size for vgg builder

* [doc] add minimum input size for squeezenet builder

* [doc] add minimum input size for densenet builder

* [doc] add minimum input size for inception_v3 builder

* [doc] add minimum input size for googlenet builder
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* remove unused functions

* shut up annoying warnings via cast

* prabhat's comments

* Fixed clang format error
Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* Fixed audio-video synchronisation problem in read_video() when using  as unit

* Addressed review comments

* Added unit test

* Fix a bug when trainable_layers == 0

* Fix same issue on ssd.

Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Moving tensors to the right device.

* Switch to gpu.medium

Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

replaced byteTensor with from_numpy

fixed lint issues and copy related worning
Co-authored-by: Sofiane Abbar <sofa@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Reviewed By: fmassa

Differential Revision: D28537606

fbshipit-source-id: beaf15f4e38a7d986ef26587383aa2aee3e48952

* Added CUDA support for interpolation AA bilinear/bicubic

* Fixed code formatting error

* Fixed cuda tests on cpu-only builds

* Fixed cuda internal torch check for bicubic mode

* Remove incorrect params from doc and add references to the paper.

* Add paper links in doc.

* correct the size of returne tensor

* Styling changes
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Make crop work the same for pil and tensor

* Only call pad if needed in functional_tensor.crop

* Fix top-left functional_tensor.crop

* Update document for functional.crop

* Add other test cases of functional.crop

* Fix bug

* Fixing formattter

* Fix stylings
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Rewrite draw_segmentation_masks and update gallery example to illustrate both instance and semantic segmentation models (#3824)

* Converting private parameters to public.

* Add kwargs to handle extra params.

* Add another kwargs.

* Add arguments in _mobilenet_extractor.

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/3823

Uploaded FashionMNIST dataset to [manifold](https://www.internalfb.com/intern/network/manifold/?bucket=torchvision&path=tree%2Fdatasets) bucket `torchvision`. Any new dataset that needs to be added could be uploaded under `tree/datasets/<dataset_name>`.

Reviewed By: datumbox

Differential Revision: D28358470

fbshipit-source-id: 6f2282d3f1ce4b1416e962de8fb132896d4b2d76

* Added support for bicubic mode with AA

* Updated comment in the test

* Fix io imports and expose methods

* fix fmt
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Partial implementation of SSDlite.

* Add normal init and BN hyperparams.

* Refactor to keep JIT happy

* Completed SSDlite.

* Fix lint

* Update todos

* Add expected file in repo.

* Use C4 expansion instead of C4 output.

* Change scales formula for Default Boxes.

* Add cosine annealing on trainer.

* Make T_max count epochs.

* Fix test and handle corner-case.

* Add support of support width_mult

* Add ssdlite presets.

* Change ReLU6, [-1,1] rescaling, backbone init & no pretraining.

* Use _reduced_tail=True.

* Add sync BN support.

* Adding the best config along with its weights and documentation.

* Make mean/std configurable.

* Fix not implemented for half exception

Co-authored-by: James Thewlis <james@unitary.ai>

* Fix inconsistent version pinning across yaml files.

* Pin pillow to >=5.3.0

* Pin pillow>=5.3.0 everywhere

* Refactor grid default boxes with torch.meshgrid

* Fix torch jit tracing

* Only doing the list multiplication once
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Make grid_default_box private as suggested
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Replace list multiplication with torch.repeat

* Move the clipping into _grid_default_boxes to accelerate
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* WIP Added antialias option to transforms.functional.resize

* Updates according to the review

* Excluded these C++ files for iOS build

* Added support for mixed downsampling/upsampling

* Fixed heap overflow caused by explicit loop unrolling

* Applied PR review suggestions
- used pytest parametrize instead unittest
- cast to scalar_t ptr
- removed interpolate aa files for ios/android keeping original cmake version