mirror of
https://github.com/iperov/DeepFaceLive
synced 2025-07-16 10:03:42 -07:00
96 lines
No EOL
3.5 KiB
Python
96 lines
No EOL
3.5 KiB
Python
import numpy as np
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from ..AShape import AShape
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from ..backend import Kernel
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from ..HKernel import HKernel
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from ..SCacheton import SCacheton
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from ..Tensor import Tensor
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def remap_np_affine (input_t : Tensor, affine_n : np.array, inverse=False, output_size=None, dtype=None) -> Tensor:
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"""
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remap affine operator for all channels using single numpy affine mat
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arguments
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input_t Tensor (...,H,W)
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affine_n np.array (2,3)
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dtype
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"""
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if affine_n.shape != (2,3):
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raise ValueError('affine_n.shape must be (2,3)')
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op = SCacheton.get(_RemapAffineOp, input_t.shape, input_t.dtype, output_size, dtype)
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output_t = Tensor( op.o_shape, op.o_dtype, device=input_t.get_device() )
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((a, b, c),
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(d, e, f)) = affine_n
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if not inverse:
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# do inverse by default, match cv2.warpAffine behaviour
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D = a*e - b*d
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D = 1.0 / D if D != 0.0 else 0.0
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a, b, c, d, e, f = ( e*D, -b*D, (b*f-e*c)*D ,
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-d*D, a*D, (d*c-a*f)*D )
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input_t.get_device().run_kernel(op.forward_krn, output_t.get_buffer(), input_t.get_buffer(),
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np.float32(a), np.float32(b), np.float32(c), np.float32(d), np.float32(e), np.float32(f) )
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return output_t
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class _RemapAffineOp():
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def __init__(self, i_shape : AShape, i_dtype, o_size, o_dtype):
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if np.dtype(i_dtype).type == np.bool_:
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raise ValueError('np.bool_ dtype of i_dtype is not supported.')
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if i_shape.ndim < 2:
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raise ValueError('i_shape.ndim must be >= 2 (...,H,W)')
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IH,IW = i_shape[-2:]
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if o_size is not None:
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OH,OW = o_size
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else:
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OH,OW = IH,IW
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o_shape = AShape( (OH,OW) )
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if i_shape.ndim > 2:
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o_shape = i_shape[:-2] + o_shape
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self.o_shape = o_shape
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self.o_dtype = o_dtype = o_dtype if o_dtype is not None else i_dtype
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self.forward_krn = Kernel(global_shape=(o_shape.size,), kernel_text=f"""
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{HKernel.define_tensor('O', o_shape, o_dtype)}
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{HKernel.define_tensor('I', i_shape, i_dtype)}
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__kernel void impl(__global O_PTR_TYPE* O_PTR_NAME, __global const I_PTR_TYPE* I_PTR_NAME,
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float a, float b, float c,
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float d, float e, float f)
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{{
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size_t gid = get_global_id(0);
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{HKernel.decompose_idx_to_axes_idxs('gid', 'O', o_shape.ndim)}
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float cx01 = om1*a + om2*b + c;
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float cy01 = om1*d + om2*e + f;
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float cx0f = floor(cx01); int cx0 = (int)cx0f;
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float cy0f = floor(cy01); int cy0 = (int)cy0f;
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float cx1f = cx0f+1; int cx1 = (int)cx1f;
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float cy1f = cy0f+1; int cy1 = (int)cy1f;
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float p00 = I_GLOBAL_LOAD(I_IDX_MOD({HKernel.axes_seq_enum('O', o_shape.ndim-2, suffix='cy0,cx0')}));
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float p01 = I_GLOBAL_LOAD(I_IDX_MOD({HKernel.axes_seq_enum('O', o_shape.ndim-2, suffix='cy0,cx1')}));
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float p10 = I_GLOBAL_LOAD(I_IDX_MOD({HKernel.axes_seq_enum('O', o_shape.ndim-2, suffix='cy1,cx0')}));
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float p11 = I_GLOBAL_LOAD(I_IDX_MOD({HKernel.axes_seq_enum('O', o_shape.ndim-2, suffix='cy1,cx1')}));
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p00 *= (cx1f - cx01)*(cy1f - cy01)*(cy0 >= 0 & cy0 < Im2 & cx0 >= 0 & cx0 < Im1);
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p01 *= (cx01 - cx0f)*(cy1f - cy01)*(cy0 >= 0 & cy0 < Im2 & cx1 >= 0 & cx1 < Im1);
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p10 *= (cx1f - cx01)*(cy01 - cy0f)*(cy1 >= 0 & cy1 < Im2 & cx0 >= 0 & cx0 < Im1);
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p11 *= (cx01 - cx0f)*(cy01 - cy0f)*(cy1 >= 0 & cy1 < Im2 & cx1 >= 0 & cx1 < Im1);
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O_GLOBAL_STORE(gid, p00 + p01 + p10 + p11);
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}}
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""") |