Change Description
The Kunpeng Computer Vision Library (KPCV) leverages Kunpeng vector instructions to optimize OpenCV, KP_LITHO_IMG, and PyTorch image operators. Table 1 lists the operators in KPCV.
No. |
Operator |
Description |
|---|---|---|
1 |
CV image operator |
Kunpeng vector instructions are used to optimize its image processing interfaces, including merge, resize (it supports multiple interpolation modes, such as cv2.INTER_LINEAR, cv2.INTER_CUBIC, and cv2.INTER_NEAREST_EXACT), remap, dilate, GaussianBlur, and cvtColor. |
2 |
KP_LITHO_IMG |
Kunpeng vector instructions are used to optimize its image interfaces, including gaussian_blur, gaussian_blur_fft, local_min/local_max, slope, laplacian, and fft_upsampling. |
3 |
PyTorch image operator |
Kunpeng vector instructions are used to optimize its data preprocessing interfaces, including normalize, resize, and permute. |