GitLab

* add tests for PhotoTour dataset

* fix grayscale image generation

* fix test_feature_types for a examples of a single feature

* make image size variable instead of hard coding it

* make dataset length variable instead of hard coding it

* replace numpy with torch

* fix typo

* include intended structure of root directory in docstring of Kinetics400

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

Co-authored-by: vfdev <vfdev.5@gmail.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

Current implementation is generating bad graph after onnx conversion. So replacing with flatten like in mobilenetv3 code.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* deprecate _video modules

* flake8
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: vfdev <vfdev.5@gmail.com>

* Specify coordinate constraints

* some more

* flake8

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

* use common download utils in VOC and SBDataset

* add tests for VOC

* use common base class for VOC datasets

* remove old voc test and fake data generation
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Avoid freezing bn1 if all layers are trainable.

* Remove misleading comments.

Fixes #3393

* Replace type T with accumulator.

* Upcast tensors of box ops to avoid overflow in multiplications.

* On MSVC, instruct the linker not to drop the _register_ops symbol

* Remove workaround for ops registration on windows
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

Summary:
Noticed this copy-paste error while reading D26026259 (https://github.com/pytorch/vision/commit/f16322b596c7dc9e9d67d3b40907694f29e16357) for inspiration to solve a similar problem

Created from Diffusion's 'Open in Editor' feature.

Reviewed By: datumbox

Differential Revision: D26373056

fbshipit-source-id: d67f46243a280e8a59d12bad9dd730c1a3d512c9

* Adding TODO placeholders.

* More placeholders.

* Add MobileNetV3 small pre-trained weights.

* Remove placeholders.

* aspect ratio must be a sampling from log scale.
reference from: https://github.com/pytorch/vision/blob/8317295c1d272e0ba7b2ce31e3fd2c048235fc73/torchvision/transforms/transforms.py#L833-L836



* add random erasing unittest code

* Increased threshold for difference in sampling rate

* move outside of the loop

* log_ratio move outside of the loop. RandomResizedCrop also
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* fix STL10 folds

* use np.int64 over np.long

* [android] android gradle project for ops

* Change CMakeLists to latest PyTorch

* Use mobilenet_v3 models for detection

Don't need to have two variants of the model anymore, but I'm not removing it for now

* Fix orientation when angle = 0

* [android][test_app] Fix YUV decoding

* Use smaller version of mobilenet model

* Divide inputs by 255 again

* [android] assets mobilenetv3
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

Summary:
We accept python bytes for video in existing API, such as `_read_video_timestamps_from_memory`.
We should do so to `_read_video_timestamps_from_memory` as well.

Reviewed By: fmassa

Differential Revision: D26216777

fbshipit-source-id: 5d7ecf15c5a65dc5c57f17b343e7c63b4933189e
Co-authored-by: Zhicheng Yan <zyan3@fb.com>

* Refactoring mobilenetv3 to make code reusable.

* Adding quantizable MobileNetV3 architecture.

* Fix bug on reference script.

* Moving documentation of quantized models in the right place.

* Update documentation.

* Workaround for loading correct weights of quant model.

* Update weight URL and readme.

* Adding eval.

* Check if the file is located on Google Drive

download_file() detects if the provided URL contains a link to Google
Drive and passes the request through the download_file_from_google_drive()
if it is the case.

* remove lazy re import

* add guard clause

* use urlparse

* add tests

* Fixing lint.

* make id matching more safe

* Fixing type check.

* Remove AnyStr.
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* Renamed original method to test center crop

* Added test method, docs and added padding when imgsize < cropsize.

* BugFix - keep odd_crop_size odd

* Do not crop when image size after padding matches crop size; updated test.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Fixing mypy errors.

* Fixing typing issue.

* adds fill paramter

* small doc edit

* Change fill to bool

* add filled

* fix the bugs

* Fixes bugs

* adds test with fill param

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

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

Disable pretrained backbone downloading if pretrained is True
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Document undodcumented parameters

* remove setup.cfg changes

* Properly pass normalize down instead of deprecating it

* Fix flake8

* Add new CI check

* Fix type spec

* Leave normalize be part of kwargs
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* initial fix

* fill=0

* docstrings

* fill type check

* fill type check

* set None to zero

* unit tests

* set instead of NotImplemented

* fix W293
Co-authored-by: vfdev <vfdev.5@gmail.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Moving jpegcommon inside cpu implementation

* Adding namespaces on image and moving private methods to anonymous.

* Fixing headers.

* Renaming public image methods to match the ones on python.

* Refactoring to remove the double ifs in common_jpeg.h

* Moving registration of video methods in Video.cpp and removing unnecessary includes.

* Rename files according to cpp styles.

* Adding namespaces and moving private methods to anonymous namespaces.

* Syncing method names.

* Fixing minor issues.

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

* Adding the note to the backend function

* addressing the new master change
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Making _segm_resnet() generic and reusable.

* Adding fcn and deeplabv3 directly on mobilenetv3 backbone.

* Adding tests for segmentation models.

* Rename is_strided with _is_cn.

* Add dilation support on MobileNetV3 for Segmentation.

* Add Lite R-ASPP with MobileNetV3 backbone.

* Add pretrained model weights.

* Removing model fcn_mobilenet_v3_large.

* Adding docs and imports.

* Fixing typo and readme.