HOG.h File Reference
Include dependency graph for HOG.h:
Go to the source code of this file.
Macros | |
HOG flags | |
Defines what features will be returned. | |
| #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. | |
Functions | |
| VPIStatus | vpiCreateExtractHOGFeatures (VPIStream stream, uint32_t width, uint32_t height, uint32_t features, uint32_t cellSize, uint32_t numOrientations, VPIPayload *payload, uint32_t *outNumFeatures) |
| Create a payload for the non-batch version of HOG algorithm. More... | |
| VPIStatus | vpiCreateExtractHOGFeaturesBatch (VPIStream stream, uint32_t maxBatchWidth, uint32_t maxBatchHeight, uint32_t imgWidth, uint32_t imgHeight, uint32_t features, uint32_t cellSize, uint32_t numOrientations, VPIPayload *payload, uint32_t *outNumFeatures) |
| Create a payload for the batch version of HOG algorithm. More... | |
| VPIStatus | vpiSubmitExtractHOGFeatures (VPIPayload payload, VPIImage input, VPIImage *outFeatures, uint32_t numFeatures) |
| Submit the HOG algorithm to the stream associated with the payload. More... | |
Detailed Description
Declares functions that implement the Histogram of Oriented Gradients algorithm.
Definition in file HOG.h.
Function Documentation
◆ vpiCreateExtractHOGFeatures()
| VPIStatus vpiCreateExtractHOGFeatures | ( | VPIStream | stream, |
| uint32_t | width, | ||
| uint32_t | height, | ||
| uint32_t | features, | ||
| uint32_t | cellSize, | ||
| uint32_t | numOrientations, | ||
| VPIPayload * | payload, | ||
| uint32_t * | outNumFeatures | ||
| ) |
Create a payload for the non-batch version of HOG algorithm.
- Parameters
-
[in] stream Stream that will execute the algorithm. [in] width,height Dimensions of the input image to be used. [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] payload Pointer to a payload handle that will receive the allocated payload. [out] outNumFeatures Receives the number of features that will be returned. Pass NULL if not needed.
- Returns
- VPI_SUCCESS if payload was created successfully, or some other VPIStatus code in case of error.
◆ vpiCreateExtractHOGFeaturesBatch()
| VPIStatus vpiCreateExtractHOGFeaturesBatch | ( | VPIStream | stream, |
| uint32_t | maxBatchWidth, | ||
| uint32_t | maxBatchHeight, | ||
| uint32_t | imgWidth, | ||
| uint32_t | imgHeight, | ||
| uint32_t | features, | ||
| uint32_t | cellSize, | ||
| uint32_t | numOrientations, | ||
| VPIPayload * | payload, | ||
| uint32_t * | outNumFeatures | ||
| ) |
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.
- Parameters
-
[in] stream Stream that will execute the algorithm. [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] payload Pointer to a payload handle that will receive the allocated payload. [out] outNumFeatures Receives the number of features that will be returned. Pass NULL if not needed.
- Returns
- VPI_SUCCESS if payload was created successfully, or some other VPIStatus code in case of error.
◆ vpiSubmitExtractHOGFeatures()
| VPIStatus vpiSubmitExtractHOGFeatures | ( | VPIPayload | payload, |
| VPIImage | input, | ||
| VPIImage * | outFeatures, | ||
| uint32_t | numFeatures | ||
| ) |
Submit the HOG algorithm to the stream associated with the payload.
It handles both batch and non-batch payloads.
- Parameters
-
[in] payload Payload to be submitted. [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.
- Returns
- VPI_SUCCESS if payload was created successfully, or some other VPIStatus code in case of error.