acl.himpi.vpc_batch_crop_resize_paste
C Prototype |
hi_s32 hi_mpi_vpc_batch_crop_resize_paste (hi_vpc_chn chn, const hi_vpc_pic_info *source_pic[], hi_u32 pic_num, hi_vpc_crop_resize_paste_region crop_resize_paste_info[], hi_u32 count[], hi_u32 *task_id, hi_s32 milli_sec); |
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Python Function |
task_id, ret =acl.himpi.vpc_batch_crop_resize_paste(chn, source_pic, pic_num, crop_resize_paste_info, count, milli_sec) |
Function Usage |
Extended from acl.himpi.vpc_crop_resize_paste, for processing images in batches. Crops one or more ROIs from each source image, resizes the cropped images, and pastes the resized images to each output canvas. This API is asynchronous. The Atlas 200/300/500 Inference Product does not support this API in the current version. The Atlas Training Series Product does not support this API in the current version. |
Input Description |
chn: int, image processing channel ID. source_pic: dict, original image information. For details, see hi_vpc_pic_info. For details about related restrictions, see #EN-US_TOPIC_0000002127918592/section1676152117452. pic_num: int, number of source images. Its length must be the same as that of the source_pic list and that of the count array. crop_resize_paste_info: dictionary for crop, resize, and paste information. You need to set the buffer address of the destination image for storing this information. For details, see hi_vpc_crop_resize_paste_region. count: int, array for the number of crop ROIs of each source image. Has the same length as the crop_resize_paste_info array. The sum of element values in the count array must be in the range of [1, 256]. milli_sec: int, timeout interval (ms).
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Return Value |
ret: int, error code.
task_id: task ID, used to identify a task. |