Extracts Histogram of Oriented Gradients features from input image. More...
Functions | |
| VPIStatus | vpiCreateExtractHOGFeatures (uint32_t backends, int32_t width, int32_t height, int32_t features, int32_t cellSize, int32_t numOrientations, int32_t *outNumFeatures, VPIPayload *payload) |
| Create a payload for the non-batch version of HOG algorithm. More... | |
| VPIStatus | vpiCreateExtractHOGFeaturesBatch (uint32_t backends, int32_t maxBatchWidth, int32_t maxBatchHeight, int32_t imgWidth, int32_t imgHeight, int32_t features, int32_t cellSize, int32_t numOrientations, int32_t *outNumFeatures, VPIPayload *payload) |
| Create a payload for the batch version of HOG algorithm. More... | |
| VPIStatus | vpiSubmitExtractHOGFeatures (VPIStream stream, uint32_t backend, VPIPayload payload, VPIImage input, VPIImage *outFeatures, int32_t numFeatures) |
| Submit the HOG algorithm to the stream associated with the payload. More... | |
HOG flags | |
| #define | VPI_HOG_CONTRAST_SENSITIVE 0x01 |
| Return contrast sensitive features. | |
| #define | VPI_HOG_CONTRAST_INSENSITIVE 0x02 |
| Return contrast insensitive features. | |
| #define | VPI_HOG_TEXTURE 0x04 |
| Return texture-related features. | |
| #define | VPI_HOG_ALL_FEATURES (VPI_HOG_CONTRAST_SENSITIVE | VPI_HOG_CONTRAST_INSENSITIVE | VPI_HOG_TEXTURE) |
| Helper flag to return all features. | |
Extracts Histogram of Oriented Gradients features from input image.
| VPIStatus vpiCreateExtractHOGFeatures | ( | uint32_t | backends, |
| int32_t | width, | ||
| int32_t | height, | ||
| int32_t | features, | ||
| int32_t | cellSize, | ||
| int32_t | numOrientations, | ||
| int32_t * | outNumFeatures, | ||
| VPIPayload * | payload | ||
| ) |
#include <vpi/experimental/HOG.h>
Create a payload for the non-batch version of HOG algorithm.
| [in] | backends | VPI backends that are eligible to execute the algorithm. Currently only one backend is accepted. |
| [in] | width,height | Dimensions of the input image to be used. |
| [in] | features | Flags to specify what features will be returned |
| [in] | cellSize | Cell size, typically 8 or 16 for 8x8 and 16x16 cells respectively. |
| [in] | numOrientations | Number of orientations used. This is typically 18. |
| [out] | outNumFeatures | Receives the number of features that will be returned. Pass NULL if not needed. |
| [out] | payload | Pointer to memory where the created payload handle will be written to. |
| VPIStatus vpiCreateExtractHOGFeaturesBatch | ( | uint32_t | backends, |
| int32_t | maxBatchWidth, | ||
| int32_t | maxBatchHeight, | ||
| int32_t | imgWidth, | ||
| int32_t | imgHeight, | ||
| int32_t | features, | ||
| int32_t | cellSize, | ||
| int32_t | numOrientations, | ||
| int32_t * | outNumFeatures, | ||
| VPIPayload * | payload | ||
| ) |
#include <vpi/experimental/HOG.h>
Create a payload for the batch version of HOG algorithm.
The input images are assumed to be laid out in memory as a 2D matrix of images. All images must have the same dimensions.
| [in] | backends | VPI backends that are eligible to execute the algorithm. Currently only one backend is accepted. |
| [in] | maxBatchWidth,maxBatchHeight | Maximum number of images horizontally and vertically, respectively. |
| [in] | imgWidth,imgHeight | Dimensions each of the batch images. |
| [in] | features | Flags to specify which features will be returned |
| [in] | cellSize | Cell size, typically 8 or 16 for 8x8 and 16x16 cells respectively. |
| [in] | numOrientations | Number of orientations used. This is typically 18. |
| [out] | outNumFeatures | Receives the number of features that will be returned. Pass NULL if not needed. |
| [out] | payload | Pointer to a payload handle that will receive the allocated payload. |
| VPIStatus vpiSubmitExtractHOGFeatures | ( | VPIStream | stream, |
| uint32_t | backend, | ||
| VPIPayload | payload, | ||
| VPIImage | input, | ||
| VPIImage * | outFeatures, | ||
| int32_t | numFeatures | ||
| ) |
#include <vpi/experimental/HOG.h>
Submit the HOG algorithm to the stream associated with the payload.
It handles both batch and non-batch payloads.
| [in] | stream | The stream where the operation will be queued in. |
| [in] | backend | Backend that will execute the algorithm. Must be one of the backends specified during payload creation. If 0, VPI will select one of the eligible backends from the payload that accepts the given parameters, usually the fastest one. |
| [in] | payload | Payload to be submitted along the other parameters. |
| [in] | input | If using a non batch payload, this is the input image to be processed. Its dimensions must match what was passed to vpiCreateExtractHOGFeatures. If using a batch payload, the image dimensions must be a multiple of (imgWidth,imgHeight), and it must be at most (imgWidth*maxBatchWidth, imgHeight*maxBatchHeight). |
| [out] | outFeatures | Pointer to an array of images that will receive the features. The dimensions of each image must be (input.width / cellSize, input.height / cellSize). In case of batch processing, the output features position in the 2D matrix be the same position of the corresponding input image. |
| [in] | numFeatures | Number of images in the output array. |