Image Processing Functions¶

`blur`¶

template<std::uint32_t filterSize = 1>
qVar_t<FixedPoint32<16>> chimera::image::blur(qVar_t<FixedPoint32<16>> qFrame)¶
Applies a 3x3 blur function on a qVar. The filter is.
* ┌           ┐
* │   1 2 1   │
* │   2 4 2   │  / 16
* │   1 2 1   │
* └           ┘
*
Return
qVar_t<FixedPoint32<16>> The blurred output of the tile

Parameters

qFrame: The input Frame tile

`sobel`¶

template<std::uint32_t filterSize = 1>
qVar_t<FixedPoint32<16>> chimera::image::sobel(qVar_t<FixedPoint32<16>> qFrame)¶
Applies a 3x3 sobel vertical edge detection. The filter is Vertical edge filter.
* ┌            ┐
* │  -1 -2 -1  │
* │   0  0  0  │  / 4
* │   1  2  1  │
* └            ┘
*
Horizontal edge filter
* ┌          ┐
* │  -1 0 1  │
* │  -2 0 2  │  / 4
* │  -1 0 1  │
* └          ┘
*
Return
qVar_t<FixedPoint32<16>> The vertical edges in the tile

Parameters

qFrame: The input Frame tile

`edge3x3`¶

qVar_t<FixedPoint32<16>> chimera::image::edge3x3(qVar_t<FixedPoint32<16>> qFrame)¶

Gets an image of all the adges in a tile calculated using the sobel filter.

Return
qVar_t<FixedPoint32<16>> The edge image tile

Parameters

qFrame: The input image tile

`resize`¶

Warning

doxygenfunction: Unable to resolve function “resize” with arguments (OcmInputImageShape&, OcmOutputImageShape&) in doxygen xml output for project “quadric.io SDK” from directory: _build/xml/. Potential matches:

- template<typename OcmInputImageShape, typename OcmOutputImageShape> void resize(OcmInputImageShape &ocmInputImage, OcmOutputImageShape &ocmOutputImage, MemAllocator &ocmMemAlloc)
- template<typename OcmInputTensorShape, typename OcmOutputTensorShape, typename T, UpsamplingMethod upsamplingMethod, bool generateSingleTileOutput = false, isOcmTensor<OcmInputTensorShape> = 0, isOcmTensor<OcmOutputTensorShape> = 0, std::enable_if_t<!generateSingleTileOutput, std::int32_t> = 0> INLINE void resize(OcmInputTensorShape &ocmInp, OcmOutputTensorShape &ocmOut)

`grayscale`¶

template<typename OcmInputImageShape, typename OcmOutputImageShape>
void chimera::image::grayscale(OcmInputImageShape &ocmInputImage, OcmOutputImageShape &ocmOutputImage, FixedPoint16<12> fxChannel1Weight = 0.114, FixedPoint16<12> fxChannel2Weight = 0.587, FixedPoint16<12> fxChannel3Weight = 0.299)¶
Converts a 3 channel image to grayscale, default values work best for a BGR input image.

Assuming a BGR input image would look like
* ┌------------------------------...-┐
* |BGR,BGR,BGR,BGR,BGR,BGR, ...      |
* |BGR,BGR,BGR,BGR,BGR,BGR, ...      |
* |------------------------------...-|
* |BGR,BGR,BGR,BGR,BGR,BGR, ...      |
* |.                                 |
* |.                                 |
* |.                                 |
* └------------------------------...-┘
*
The ouput is a weighted sum of the 3 channels for each pixel. Enough rows of the image are processed to fill out maxOutTilesInBuffer(128) unless one row does not fit into the buffer. In that case each row is broken up into multiple buffers to fill out maxOutTilesInBuffer

Template Parameters

OcmInputImageShape: The input image shape in (b,g,r) format

OcmOutputImageShape: The output image shape in (b,g,r) format

Parameters

ocmInputImage: The input image tensor

ocmOutputImage: The output image tensor

fxChannel1Weight: The weight given to the blue channel. Default 0.114

fxChannel2Weight: The weight given to the green channel. Default 0.587

fxChannel3Weight: The weight given to the red channel. Default 0.299