ec7fc5adca
Merge pull request #22529 from fengyuentau:scatter_scatternd
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DNN: supports Scatter and ScatterND from ONNX
2022-10-17 14:57:46 +03:00
02143cd0e2
Merge pull request #22531 from zihaomu:stop_rely_name
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Parsing quantized nodes does not rely on names
2022-10-17 11:20:24 +03:00
1c5dcbcac8
Merge pull request #22639 from WanliZhong:issue#22625
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DNN: Make Unsqueeze layer support negative axes
2022-10-17 09:27:49 +03:00
d24d8f2abe
implementation of scatter and scatternd with conformance tests enabled
2022-10-17 11:30:32 +08:00
762481411d
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-10-15 16:44:47 +00:00
d816442e4d
Make Unsqueeze layer support negative axes.
2022-10-14 18:00:19 +08:00
ec26541771
Merge pull request #22577 from zihaomu:Disable_winograd_branch_in_tryquantize
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DNN: add enableWinograd API for Net
2022-10-11 09:44:00 +03:00
d9eff7daeb
parse quantized nodes does not rely on name.
2022-10-10 17:08:46 +08:00
3419e64dcf
Merge pull request #22611 from zihaomu:greaterOrEqual
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DNN: support GreaterOrEqual and LessOrEqual op in ONNX
2022-10-10 11:43:44 +03:00
1e2ceca4df
add enableWinograd API for Net.
2022-10-09 09:33:07 +08:00
347246901e
Merge pull request #21745 from alalek:dnn_plugin_openvino
2022-10-08 22:32:25 +00:00
9821fae59d
add greater_or_equal and less_or_equal ONNX support
2022-10-08 15:51:40 +08:00
43b2bb2c25
dnn: plugin support for OpenVINO
2022-10-07 16:57:31 +00:00
96844b0ca5
Merge pull request #22554 from WanliZhong:slice_axes_no_seq
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DNN: Let Slice layer support non-sequential and negative axes
2022-10-03 10:15:55 +03:00
4557971481
enhance slice layer
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refactor the code for parsing Slice layer
add test for Slice layer
let 'begin' and 'end' resize to dims
add opset message comment
2022-10-01 17:12:07 +08:00
15cfafb360
DNN: Remove unused code in onnx_importer.cpp
2022-09-29 10:53:43 +08:00
a6274647a4
Merge pull request #21738 from rogday:gather
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add Gather implementation
2022-09-19 16:21:14 +03:00
65f71ce2eb
add Gather implementation
2022-09-19 15:06:44 +03:00
6aefb8e86f
Merge pull request #22290 from fengyuentau:naive_yolov7
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Support for YOLOv7 ONNX (not simplified)
2022-09-19 14:43:18 +03:00
4aef9b1c93
dnn: support yolov7 (not simplified)
2022-09-19 18:38:03 +08:00
e1e9261450
Merge pull request #22479 from scottchou007:master
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Fix issues in opencv_test_dnn from conv48 kernels without bias
2022-09-16 09:05:55 +03:00
a3cb2020bc
Fix issues in opencv_test_dnn from conv48 kernels using uninitialized tensors when there is no bias.
2022-09-15 13:41:27 -07:00
65bdb3a544
dnn: eliminate GCC12 warning in total() call
2022-09-14 11:37:00 +00:00
c2c8da2517
Merge pull request #22448 from Ichini24:reshape-permutations-fix
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changed names of permutations if Reshpe is in NHWC
2022-09-13 09:24:56 +03:00
4154bd0667
Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
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* Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
* Add resize.lasx.cpp for Loongson SIMD acceleration
* Add imgwarp.lasx.cpp for Loongson SIMD acceleration
* Add LASX acceleration support for dnn/conv
* Add CV_PAUSE(v) for Loongarch
* Set LASX by default on Loongarch64
* LoongArch: tune test threshold for Core/HAL.mat_decomp/15
Co-authored-by: shengwenxue <shengwenxue@loongson.cn >
2022-09-10 09:39:43 +03:00
ca7f964104
dnn: use inheritance for OpenVINO net impl
2022-09-06 18:05:00 +00:00
337452b4c0
changed names of permutations if Reshpe is in NHWC
2022-09-03 19:02:41 +02:00
b69b1eae8f
fix bug 22450
2022-09-02 16:30:06 +08:00
70fb1cd603
Merge pull request #22440 from zihaomu:fix_conv_bug
2022-08-30 07:01:05 +00:00
d2c48b898c
Merge pull request #22306 from zihaomu:qgemm_and_squeeze_opset13_onnximporter
2022-08-30 06:33:57 +00:00
2d837efba7
add qgemm and squeeze op13 supported on ONNXImporter
2022-08-30 09:50:29 +08:00
1fd45a1b85
Merge pull request #22362 from fengyuentau:conv_asym_pad_fuse
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Remove asymmetric padding in Conv layer since it is supported in CPU backend
2022-08-29 17:56:17 +03:00
2cd7e17b65
replace v_add with +
2022-08-29 17:15:35 +08:00
2619099fe5
Merge pull request #22337 from zihaomu:load_ONNX_fp16_as_fp32
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DNN: load fp16 ONNX model as fp32
2022-08-29 09:32:25 +03:00
2959286eb5
tengine: supports conv with asymmetric padding
2022-08-29 02:51:26 +00:00
9638e34ab0
reuse WORDS_BIGENDIAN.
2022-08-27 07:42:38 +08:00
bb64db98d8
Further optimization of Conv2D, fused Conv_Add_Activation, bring latest code from ficus OpConv.fx. ( #22401 )
2022-08-26 12:57:25 +03:00
7eaec9dd22
load fp16 as fp32 and align fp16 and double in onnx_graph_simplifie
2022-08-26 10:04:44 +08:00
5e92bf8e41
support silu activation in darknet
2022-08-22 10:51:29 +08:00
2ebdc04787
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-08-14 15:50:42 +00:00
0cdff46725
tune for opencl
2022-08-14 17:47:48 +08:00
bb71cb200e
Merge pull request #22199 from zihaomu:bug_fix_22195
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DNN: Reduce Layer (add dynamic batch and ReduceSum support)
2022-08-11 12:59:51 +03:00
e7e814fa8c
remove asymmetric padding checks
2022-08-10 19:52:44 +08:00
d4640f4647
support ReduceLayer without reshape layer.
2022-08-02 10:32:31 +08:00
57545653b1
replace new mish impl with softplus
2022-07-28 13:19:06 +08:00
3c5377ca1b
add another Mish graph simplifier.
2022-07-28 11:21:29 +08:00
e2bfe0ce76
Use "#if" instead of "#ifdef" for CV_SIMD128.
2022-07-21 03:23:57 +00:00
98c33c605d
batchsize dynamic is set to index 0.
2022-07-20 19:02:16 +08:00
ed69bcae2d
Merge pull request #21865 from rogday:nary_eltwise_layers
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Reimplementation of Element-wise layers with broadcasting support
* init
* semi-working initial version
* add small_vector
* wip
* remove smallvec
* add nary function
* replace auto with Mat in lambda expr used in transform
* uncomment asserts
* autobuffer shape_buf & step_buf
* fix a missing bracket
* fixed a missing addLayer in parseElementWise
* solve one-dimensional broadcast
* remove pre_broadcast_transform for the case of two constants; fix missing constBlobsExtraInfo when addConstant is called
* one autobuffer for step & shape
* temporal fix for the missing original dimension information
* fix parseUnsqueeze when it gets a 1d tensor constant
* support sum/mean/min/max with only one input
* reuse old code to handle cases of two non-constant inputs
* add condition to handle div & mul of two non-constant inputs
* use || instead of or
* remove trainling spaces
* enlarge buf in binary_forward to contain other buffer
* use autobuffer in nary_forward
* generate data randomly and add more cases for perf
* add op and, or & xor
* update perf_dnn
* remove some comments
* remove legacy; add two ONNX conformance tests in filter
* move from cpu_denylist to all_denylist
* adjust parsing for inputs>=2
Co-authored-by: fengyuentau <yuantao.feng@opencv.org.cn >
2022-07-19 06:14:05 +03:00
1c7b71bf9e
define data_layout as unknown for pack
2022-07-14 19:27:20 +08:00
Alexander Smorkalov
fengyuentau
Alexander Alekhin
zoom
Zihao Mu
Egor Smirnov
scottchou007
wxsheng
anton
Alexander Smorkalov
fengyuentau
HAN Liutong