Function: set_aipp_dtc_pixel_min

Applicability

Product	Supported (√/x)
Atlas A3 training products / Atlas A3 inference products	√
Atlas A2 training products / Atlas A2 inference products	√
Atlas training products	√
Atlas inference products	√
Atlas 200I/500 A2 inference products	√

Function Usage

Sets the minimum value of each channel in the dynamic AIPP scenario.

Prototype

C Prototype

        
             aclError aclmdlSetAIPPDtcPixelMin(aclmdlAIPP *aippParmsSet, float dtcPixelMinChn0, float dtcPixelMinChn1, float dtcPixelMinChn2, float dtcPixelMinChn3, uint64_t batchIndex)

Python Function

        
             ret = acl.mdl.set_aipp_dtc_pixel_min(aipp_parms_set, dtc_pixel_mean_chn0, dtc_pixel_mean_chn1, dtc_pixel_mean_chn2, dtc_pixel_mean_chn3, batch_index)

Parameter Description

Parameter	Description
aipp_parms_set	Int, pointer address of the dynamic AIPP configuration object. The aclmdlAIPP data must be created by the acl.mdl.create_aipp call in advance.
dtc_pixel_mean_chn0	Int, mean value of channel 0. The value range is [0, 255].
dtc_pixel_mean_chn1	Int, mean value of channel 1. The value range is [0, 255].
dtc_pixel_mean_chn2	Int, mean value of channel 2. The value range is [0, 255].
dtc_pixel_mean_chn3	Int, mean value of channel 3. If there are only three channels, the default value 0 is used. Value range: [0, 255]
batch_index	Int, index of the batch for setting the mean value of each image channel. The default value is 0. The value range is [0, batch_size). batch_size is set when acl.mdl.create_aipp is called to create data of the aclmdlAIPP type.

Return Value Description

Return Value	Description
ret	Int, error code. 0: success. Other values: failure

Parent topic: Dynamic AIPP Parameter Settings