GitLab

* Encapsulate and standardize deform_conv2d (#3074)

* Rename files.

* Standardizing method names.

* Adding anonymous namespaces.

* Applying C++ naming rules and alinging variable names across headers and cpp files.

* Syncing names across implementations.

* Rename deform_conv2d.h to deform_conv2d.cpp

* Use header files:
- Create header files for kernel implementation and remove definitions from vision_*.h files.
- Eliminate unnecessary headers and ensure all cpp include their headers.

* Change the naming convention for kernel implementations.

* Remove the _param postfix from the variables and standardizing names.

* Exposing public forward/backward methods to the C++ API and moving methods around to minimize git blame changes.

* Encapsulate and standardize nms (#3081)

* Syncing, where possible, the names of functions across devices.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Update CMakeLists.txt to include all headers.

* Encapsulate and standardize ps_roi_align (#3082)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.
Syncing, where possible, the names of functions across devices.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize ps_roi_pool (#3084)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize roi_align (#3085)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Adding all internal functions in anonymous namespaces.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize roi_pool  (#3088)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Adding all internal functions in anonymous namespaces.

* Syncing variable names between the cpp files and their header files.

* Renaming C++/CUDA kernel files and moving operator code from header to cpp file.

* Create foreach cpp file a separate header file with "public" functions.

* Removing unnecessary repeated includes.

* Encapsulate and standardize new_empty_tensor_op (#3089)

* Renaming C++ files & methods according to recommended naming conventions and aligning them with Python's API.

* Create foreach cpp file a separate header file with "public" functions.

* Adding all internal functions in anonymous namespaces.

* Convert to const ref all possible parameters.

* Removing unnecessary repeated includes.

* Encapsulate and standardize C++ Ops - Clean up (#3094)

* Removing unnecessary repeated includes.

* Remove unnecessary vision_cpu.h, vision_cuda.h, autocast.h.

* Fixing naming convention and correcting method names on macros.

* Turn on clang formatter for cu files and fixing broken styles.

* Replace "#ifndef ... #define ... #endif" with "#pragma once" on header files.

* Adding operator methods in vision::ops namespace. (#3096)

* Adding operator methods in vision::ops namespace.

* Replace general.h with macros.h

* Adding vision.h to the necessary cpp files.

* adding base files

* setup modification to actually build the thing

* video api constructor registration

* FAIL metadata

* FAIL update for QS

* revert

* debugging with Victor

* adding base files

* setup modification to actually build the thing

* video api constructor registration

* FAIL metadata

* FAIL update for QS

* revert

* debugging with Victor

* metadata registration works

* API build next

* test

* Merge change

* formatting parameters to avoid the segfault

* next now works on a video

* make size of the output tensor format dependent

* Make next work on audio stream only as well

* refactoring the _setCurrentStream param

* Fixing the last frame return and sensor

* todo docs

* Formatting

* cleanup and comments

* introducing new tests for the API

* cleanup

* Comment out unnecesary format (will add following FFMPEG fix)

* Reformat parsing function

* removing the seek bug `get_decoder_params`

* Removing unnecessary code/variables

* enforce RGB24 as a reading format (will crash before ffmpeg fix)

* permute the dimensions to return (RGB x H x W)

* Changing the return type to std::tuple<torch::Tensor, double> as opposed to tensor list

* Adjusting tests for the new return type

* remove unnecessary jitter

* clangangangang

* Metadata return changes (#1)

* remove implicit calls to set a current stream (#2)

* Adding new tests to check the accuracy of the seek

* cleanup debugging statements

* adding base files

* setup modification to actually build the thing

* video api constructor registration

* FAIL metadata

* FAIL update for QS

* revert

* debugging with Victor

* adding base files

* video api constructor registration

* FAIL metadata

* FAIL update for QS

* revert

* debugging with Victor

* metadata registration works

* API build next

* test

* Merge change

* formatting parameters to avoid the segfault

* next now works on a video

* make size of the output tensor format dependent

* Make next work on audio stream only as well

* refactoring the _setCurrentStream param

* Fixing the last frame return and sensor

* todo docs

* Formatting

* cleanup and comments

* introducing new tests for the API

* cleanup

* Comment out unnecesary format (will add following FFMPEG fix)

* Reformat parsing function

* removing the seek bug `get_decoder_params`

* Removing unnecessary code/variables

* enforce RGB24 as a reading format (will crash before ffmpeg fix)

* permute the dimensions to return (RGB x H x W)

* Changing the return type to std::tuple<torch::Tensor, double> as opposed to tensor list

* Adjusting tests for the new return type

* remove unnecessary jitter

* clangangangang

* Metadata return changes (#1)

* remove implicit calls to set a current stream (#2)

* Adding new tests to check the accuracy of the seek

* cleanup debugging statements

* Addressing PR comments

* addressing Francisco's comments

* CLANG build formatting

* Updated testing to test against pyav for the video tensor reads

* Formatting

* remove pyav from pip deps and add it to conda build

* add pyav and ffmeped to conda builds

* Formatting?

* Setting up linter once and for all hopefully

* Testing pyav

* Fix to 8.0.0

* Try 6.2.0

* See what happens with av from pip

* Remove FFMPEG blocker

* What is going on?

* More tests

* Forgot something

* unblocker

* Check if cache is messing up with things

* Now try with different ffmpeg

* Now try with different ffmpeg

* Testing pyav

* Fix to 8.0.0

* Try 6.2.0

* See what happens with av from pip

* What is going on?

* More tests

* Forgot something

* Check if cache is messing up with things

* Now try with different ffmpeg

* Now try with different ffmpeg

* Do not install av

* Test with ffmpeg 4.2

* clean up video tests

* cleaning up the tests a bit to better test partial reading

* arrgh linter

* Forgot the av test

* forgot av test

* checkout build files from master

* revert circleci

* addressing Franciscos comments

* addressing Franciscos comments

* Ignore ffmpeg in travis
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>
Co-authored-by: Edgar Andrés Margffoy Tuay <andfoy@gmail.com>