acldvppVpcBatchCropAndPasteAsync

Applicability

Product	Supported
Atlas 350 Accelerator Card	☓
Atlas A3 training product / Atlas A3 inference product	√
Atlas A2 training product / Atlas A2 inference product	√
Atlas 200I/500 A2 inference product	√
Atlas inference product	√
Atlas training product	√

Function Description

Crops one or more ROIs from one or more images and pastes the crop ROIs to the canvas for output. This API is asynchronous.

Prototype

      
           aclError acldvppVpcBatchCropAndPasteAsync(acldvppChannelDesc  *channelDesc,
acldvppBatchPicDesc *srcBatchPicDescs,
uint32_t  *roiNums,
uint32_t size,
acldvppBatchPicDesc *dstBatchPicDescs,
acldvppRoiConfig *cropAreas[],
acldvppRoiConfig *pasteAreas[],
aclrtStream stream)

Parameters

Parameter	Input/Output	Description
channelDesc	Input	Pointer to the channel description. The value must be the same as that of channelDesc specified when the acldvppCreateChannel API is called to create a channel.
srcBatchPicDescs	Input	Pointer to the description of batch input images. Invoke the acldvppCreateBatchPicDesc interface to create the description of images in batches. Call the acldvppGetPicDesc API to obtain the description of a specified image. Call acldvppSetPicDesc series to set the image description (including the buffer address, buffer size, image format, and image resolution).
roiNums	Input	Pointer to the number of crop ROIs of each input image. The maximum number of crop ROIs is 256. roiNums is an array. The sum of the elements is up to 256, which must be consistent with batchSize in the dstBatchPicDescs struct. roiNums[0]+...+roiNums[size-1] <= 256
size	Input	Length of the roiNums array, up to 256.
dstBatchPicDescs	Input/Output	Pointer to the description of batch output images. When dstBatchPicDescs is used as an input, the user needs to: Invoke the acldvppCreateBatchPicDesc interface to create the description of images in batches. Call the acldvppGetPicDesc API to obtain the description of a specified image. Call acldvppSetPicDesc series to set the image description (including the buffer address, buffer size, image format, and image resolution).
cropAreas	Input	Pointer array for the crop ROIs. Call acldvppCreateRoiConfig to create an ROI configuration. The cropAreas or pasteAreas array length is the same as the value of batchSize in the dstBatchPicDescs struct.
pasteAreas	Input	Pointer array for the paste ROIs. Call acldvppCreateRoiConfig to create an ROI configuration. Round up the left offset of each paste ROI to the nearest multiple of 16. The cropAreas or pasteAreas array length is the same as the value of batchSize in the dstBatchPicDescs struct.
stream	Input	Stream. For details about the type definition, see aclrtStream.

Returns

If the return value is 0, the task is successfully delivered. If the return value is not 0, the task fails to be delivered. For details, see aclError.

Restrictions

Model	Restrictions
Atlas training product	Input image resolution and format: If the input image resolution is within the range of [10 x 6, 4096 x 4096], the input image format described in Restrictions on Image Formats, Width and Height Alignment, and Buffers is supported. When the width or height of the input image is within the range of (4096, 8192], the supported formats are as follows: The following enum values of acldvppPixelFormat are supported: PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1, // YUV420SP NV12 8bit PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2, // YUV420SP NV21 8bit For details about the output image resolution and format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers. For details about the restrictions on the width and height alignment and buffer size of each image format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers. A cropped image will be resized again if pasteArea and cropArea have different sizes. The high-order filtering algorithm developed by Huawei is used by default.
Atlas inference product	Input image resolution and format: If the input image resolution is within the range of [10 x 6, 4096 x 4096], the input image format described in Restrictions on Image Formats, Width and Height Alignment, and Buffers is supported. When the width or height of the input image is within the range of (4096, 8192], the supported formats are as follows: The following enum values of acldvppPixelFormat are supported: PIXEL_FORMAT_YUV_400 = 0, // YUV400 8bit PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1, // YUV420SP NV12 8bit PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2, // YUV420SP NV21 8bit PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3, // YUV422SP 8bit PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4, // YVU422SP 8bit PIXEL_FORMAT_YUV_SEMIPLANAR_444 = 5, // YUV444SP 8bit PIXEL_FORMAT_YVU_SEMIPLANAR_444 = 6, // YVU444SP 8bit PIXEL_FORMAT_YUYV_PACKED_422 = 7, // YUV422Packed YUYV 8bit PIXEL_FORMAT_UYVY_PACKED_422 = 8, // YUV422Packed UYVY 8bit PIXEL_FORMAT_YVYU_PACKED_422 = 9, // YUV422Packed YVYU 8bit PIXEL_FORMAT_VYUY_PACKED_422 = 10, // YUV422Packed VYUY 8bit For details about the output image resolution and format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers. For details about the restrictions on the width and height alignment and buffer size of each image format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers. A cropped image will be resized again if pasteArea and cropArea have different sizes. The conventional bilinear algorithm is used by default.
Atlas A3 training product / Atlas A3 inference product Atlas A2 training product / Atlas A2 inference product Atlas 200I/500 A2 inference product	For details about the restrictions on the image resolution, image format, width and height alignment, and memory, see Restrictions on Image Formats, Width and Height Alignment, and Buffers. A cropped image will be resized again if pasteArea and cropArea have different sizes. The conventional bilinear algorithm is used by default. Due to restrictions on downsampling of YUV images, when the output image format is YUV420SP or YUV422SP, it is recommended that the top and left offset of the paste ROI be even numbers.

Model

Restrictions

Atlas training product

Input image resolution and format:
- If the input image resolution is within the range of [10 x 6, 4096 x 4096], the input image format described in Restrictions on Image Formats, Width and Height Alignment, and Buffers is supported.
- When the width or height of the input image is within the range of (4096, 8192], the supported formats are as follows:
  The following enum values of acldvppPixelFormat are supported:
```
PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1,       // YUV420SP NV12 8bit   
PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2,       // YUV420SP NV21 8bit 
```
For details about the output image resolution and format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers.
For details about the restrictions on the width and height alignment and buffer size of each image format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers.
A cropped image will be resized again if pasteArea and cropArea have different sizes. The high-order filtering algorithm developed by Huawei is used by default.

Atlas inference product

Input image resolution and format:

If the input image resolution is within the range of [10 x 6, 4096 x 4096], the input image format described in Restrictions on Image Formats, Width and Height Alignment, and Buffers is supported.

When the width or height of the input image is within the range of (4096, 8192], the supported formats are as follows:

The following enum values of acldvppPixelFormat are supported:

PIXEL_FORMAT_YUV_400 = 0,               // YUV400 8bit
PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1,    // YUV420SP NV12 8bit   
PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2,    // YUV420SP NV21 8bit 
PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3,    // YUV422SP 8bit
PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4,    // YVU422SP 8bit
PIXEL_FORMAT_YUV_SEMIPLANAR_444 = 5,    // YUV444SP 8bit
PIXEL_FORMAT_YVU_SEMIPLANAR_444 = 6,    // YVU444SP 8bit
PIXEL_FORMAT_YUYV_PACKED_422 = 7,       // YUV422Packed YUYV 8bit
PIXEL_FORMAT_UYVY_PACKED_422 = 8,       // YUV422Packed UYVY 8bit
PIXEL_FORMAT_YVYU_PACKED_422 = 9,       // YUV422Packed YVYU 8bit
PIXEL_FORMAT_VYUY_PACKED_422 = 10,      // YUV422Packed VYUY 8bit

For details about the output image resolution and format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers.
For details about the restrictions on the width and height alignment and buffer size of each image format, see Restrictions on Image Formats, Width and Height Alignment, and Buffers.
A cropped image will be resized again if pasteArea and cropArea have different sizes. The conventional bilinear algorithm is used by default.

Atlas A3 training product / Atlas A3 inference product

Atlas A2 training product / Atlas A2 inference product

Atlas 200I/500 A2 inference product

For details about the restrictions on the image resolution, image format, width and height alignment, and memory, see Restrictions on Image Formats, Width and Height Alignment, and Buffers.
A cropped image will be resized again if pasteArea and cropArea have different sizes. The conventional bilinear algorithm is used by default.
Due to restrictions on downsampling of YUV images, when the output image format is YUV420SP or YUV422SP, it is recommended that the top and left offset of the paste ROI be even numbers.

acldvppVpcBatchCropAndPasteAsync

Applicability

Function Description

Prototype

Parameters

Returns

Restrictions

See Also