diff --git a/ChangeLog b/ChangeLog index 3a1658c2..46f517af 100644 --- a/ChangeLog +++ b/ChangeLog @@ -1,5 +1,13 @@ # ChangeLog +## v0.2.1 (2016-10-07) +* Localization improvements + * Bug fix: Handle >64 ground truth bounding boxes +* Image improvements + * Add 'hue' argument to image augmentation where 'hue' can be set from 0..360 degrees +* Stereo provider improvements + * stereo_image,blob provides direct passthrough of arbitrary binary blob + ## v0.2.0 (2016-09-23): * Improved documentation diff --git a/doc/source/etl_image.rst b/doc/source/etl_image.rst index b9f38fe3..fd54cb33 100644 --- a/doc/source/etl_image.rst +++ b/doc/source/etl_image.rst @@ -48,6 +48,7 @@ The complete table of configuration parameters is shown below: contrast (float, float) | (1.0, 1.0) | Boundaries of a uniform distribution from which to draw a contrast adjustment factor. A contrast adjustment factor of 1.0 results in no change to the contrast of the image. Values less than 1 decrease the contrast, while values greater than 1 increase the contrast. Recommended boundaries for random contrast perturbation are (0.9 and 1.1). brightness (float, float) | (1.0, 1.0) | Boundaries of a uniform distribution from which to draw a brightness adjustment factor. A brightness adjustment factor of 1.0 results in no change to the brightness of the image. Values less than 1 decrease the brightness, while values greater than 1 increase the brightness. Recommended boundaries for random brightness perturbation are (0.9 and 1.1). saturation (float, float) | (1.0, 1.0) | Boundaries of a uniform distribution from which to draw a saturation adjustment factor. A saturation adjustment factor of 1.0 results in no change to the saturation of the image. Values less than 1 decrease the saturation, while values greater than 1 increase the saturation. Recommended boundaries for random saturation perturbation are (0.9 and 1.1). + hue (int,int) | (0, 0) | Boundaries of a uniform distribution from which to draw a hue rotation factor. Values can be both positive and negative with 360 being one full rotation of hue. Recommended boundaries are symetric around zero (-10, 10). center (bool) | False | Take the center crop of the image. If false, a randomly located crop will be taken. crop_enable (bool) | True | Crop the input image using ``center`` and ``scale``\``do_area_scale`` fixed_aspect_ratio (bool) | False | Maintain fixed aspect ratio when copying the image to the output buffer. This may result in padding of the output buffer. diff --git a/doc/source/user_guide.rst b/doc/source/user_guide.rst index 475ae458..ed5013df 100644 --- a/doc/source/user_guide.rst +++ b/doc/source/user_guide.rst @@ -102,6 +102,7 @@ Importantly, the ``type`` key indicates to the dataloader which input data type - image segmentation (``"image,pixelmask"``), - image localization (``"image,localization"``), - image bounding box (``"image,boundingbox"``), +- stereo depthmap (``"stereo_image,blob"``), - video classification (``"video,label"``), - audio classification (``"audio,label"``), and - audio transcription (``"audio,transcription``"). diff --git a/setup.py b/setup.py index 9d8b505c..7f1efaeb 100644 --- a/setup.py +++ b/setup.py @@ -48,7 +48,7 @@ def _single_compile(obj): setup( name='nervana-aeon', - version='0.2.0', + version='0.2.1', packages=['aeon'], ext_modules=[module], )