Invert Transform #3104
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Invert Transform #3104
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* Invert Transform (#3104) * Adding invert operator. * Make use of the _assert_channels(). * Update upper bound value. * Remove private doc from invert, create or reuse generic testing methods to avoid duplication of code in the tests. (#3106) * Create posterize transformation and refactor common methods to assist reuse. (#3108) * Implement the solarize transform. (#3112) * Implement the adjust_sharpness transform (#3114) * Adding functional operator for sharpness. * Adding transforms for sharpness. * Handling tiny images and adding a test. * Implement the autocontrast transform. (#3117) * Implement the equalize transform (#3119) * Implement the equalize transform. * Turn off deterministic for histogram. * Fixing test. (#3126) * Force ratio to be float to avoid numeric overflows on blend. (#3127) * Separate the tests of Adjust Sharpness from ColorJitter. (#3128) * Add AutoAugment Policies and main Transform (#3142) * Separate the tests of Adjust Sharpness from ColorJitter. * Initial implementation, not-jitable. * AutoAugment passing JIT. * Adding tests/docs, changing formatting. * Update test. * Fix formats * Fix documentation and imports. * Apply changes from code review: - Move the transformations outside of AutoAugment on a separate method. - Renamed degenerate method for sharpness for better clarity. * Update torchvision/transforms/functional.py Co-authored-by: vfdev <[email protected]> * Apply more changes from code review: - Add InterpolationMode parameter. - Move all declarations away from AutoAugment constructor and into the private method. * Update documentation. * Apply suggestions from code review Co-authored-by: Francisco Massa <[email protected]> * Apply changes from code review: - Refactor code to eliminate as any to() and clamp() as possible. - Reuse methods where possible. - Apply speed ups. * Replacing pad. Co-authored-by: vfdev <[email protected]> Co-authored-by: Francisco Massa <[email protected]>
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Dec 23, 2020
Summary: * Invert Transform (#3104) * Adding invert operator. * Make use of the _assert_channels(). * Update upper bound value. * Remove private doc from invert, create or reuse generic testing methods to avoid duplication of code in the tests. (#3106) * Create posterize transformation and refactor common methods to assist reuse. (#3108) * Implement the solarize transform. (#3112) * Implement the adjust_sharpness transform (#3114) * Adding functional operator for sharpness. * Adding transforms for sharpness. * Handling tiny images and adding a test. * Implement the autocontrast transform. (#3117) * Implement the equalize transform (#3119) * Implement the equalize transform. * Turn off deterministic for histogram. * Fixing test. (#3126) * Force ratio to be float to avoid numeric overflows on blend. (#3127) * Separate the tests of Adjust Sharpness from ColorJitter. (#3128) * Add AutoAugment Policies and main Transform (#3142) * Separate the tests of Adjust Sharpness from ColorJitter. * Initial implementation, not-jitable. * AutoAugment passing JIT. * Adding tests/docs, changing formatting. * Update test. * Fix formats * Fix documentation and imports. * Apply changes from code review: - Move the transformations outside of AutoAugment on a separate method. - Renamed degenerate method for sharpness for better clarity. * Update torchvision/transforms/functional.py * Apply more changes from code review: - Add InterpolationMode parameter. - Move all declarations away from AutoAugment constructor and into the private method. * Update documentation. * Apply suggestions from code review * Apply changes from code review: - Refactor code to eliminate as any to() and clamp() as possible. - Reuse methods where possible. - Apply speed ups. * Replacing pad. Reviewed By: fmassa Differential Revision: D25679210 fbshipit-source-id: f7b4a086dc9479e44f93e508d6070280cbc9bdac Co-authored-by: vfdev <[email protected]> Co-authored-by: Francisco Massa <[email protected]> Co-authored-by: vfdev <[email protected]> Co-authored-by: Francisco Massa <[email protected]>
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Part of #3050
Implementing the Invert transform.