Tencent/ncnn

master

ncnn

Grade	Name	Complexity	Churn	Issues
A	src\layer\arm\convolution_3x3_pack8_fp16s.h	16	1	5
A	python\examples\yolov5.py		1	-
F	src\layer\arm\convolution_3x3_winograd_bf16s.h	348	1	41
A	.github\workflows\labeler.yml		1	-
F	src\layer\arm\convolution_3x3_winograd_int8.h	328	1	21
A	python\ncnn\__init__.py		1	-
B	src\layer\arm\convolution_5x5.h	17	1	9
A	examples\nanodet.cpp	41	1	-
F	src\layer\arm\convolution_5x5_pack4_bf16s.h	26	1	118
A	python\ncnn\model_zoo\fasterrcnn.py	16	1	3
A	src\layer\arm\convolution_7x7.h	14	1	3
A	.github\workflows\android.yml		1	-
B	src\layer\arm\convolutiondepthwise_arm.cpp	380	1	12
A	src\layer\arm\convolutiondepthwise_5x5_pack8_fp16s.h	18	1	-
B	src\layer\arm\convolution_packed_fp16s.h	214	1	13
F	src\layer\arm\convolution_im2col_gemm_int8.h	323	1	69
F	src\layer\arm\convolution_im2col_gemm.h	201	1	57
A	.github\workflows\linux-aarch64.yml		1	-
A	.github\workflows\mac-catalyst.yml		1	-
A	examples\ppocrv5.cpp	59	1	2