Alexander Alekhin
2cf34c0fe5
dnn: fix tests build with disabled OpenCL
6 years ago
Dmitry Kurtaev
c7cf8fb35c
Import SSDs from TensorFlow by training config ( #12188 )
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* Remove TensorFlow and protobuf dependencies from object detection scripts
* Create text graphs for TensorFlow object detection networks from sample
6 years ago
Dmitry Kurtaev
50bceea038
Include preprocessing nodes to object detection TensorFlow networks ( #12211 )
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* Include preprocessing nodes to object detection TensorFlow networks
* Enable more fusion
* faster_rcnn_resnet50_coco_2018_01_28 test
6 years ago
Alexander Alekhin
c557193b8c
dnn(test): use dnnBackendsAndTargets() param generator
6 years ago
Alexander Alekhin
3e6b3a6856
dnn(perf): fix and merge Convolution tests
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- OpenCL tests didn't run any OpenCL kernels
- use real configuration from existed models (the first 100 cases)
- batch size = 1
6 years ago
Dmitry Kurtaev
ea43e28a37
Replace Slice layer to Crop in Faster-RCNN networks from Caffe
6 years ago
Dmitry Kurtaev
4062ef5fcb
Fix lifetime of networks which are loaded from Model Optimizer IRs
6 years ago
Dmitry Kurtaev
3e027df583
Enable more deep learning tests using Intel's Inference Engine backend
6 years ago
Dmitry Kurtaev
472b71ecef
Merge pull request #12243 from dkurt:dnn_tf_mask_rcnn
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* Support Mask-RCNN from TensorFlow
* Fix a sample
6 years ago
Alexander Alekhin
f25450791b
dnn(test): mark unstable OpenCL tests
6 years ago
Alexander Alekhin
d2e08a524e
core: repair CV_Assert() messages
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Multi-argument CV_Assert() is accessible via CV_Assert_N() (with malformed messages).
6 years ago
Dmitry Kurtaev
f056c0f137
UINT8 face detection network using Intel's Inference Engine backend
6 years ago
Dmitry Kurtaev
449696f1e5
Enable reshape-as-shape layer from TensorFlow
6 years ago
Dmitry Kurtaev
be08730cd6
MVN layer using Intel's Inference Engine backend
6 years ago
Dmitry Kurtaev
4fb086d6c3
MobileNet-SSD v1 from TensorFlow with shared convolution weights
6 years ago
Dmitry Kurtaev
8e034053af
Faster-RCNN from TensorFlow on CPU with Intel's Inference Engine backend
6 years ago
Dmitry Kurtaev
ed0e79cb61
Add missing parameter to DetectionOutput layer from Intel's Inference Engine
6 years ago
Triplesalt
9eb79926df
Allow a different input order for Mul+Maximum.
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Squashed : ReLU operand order tests.
6 years ago
Dmitry Kurtaev
faa6c4e1e1
Faster-RCNN anf RFCN models on CPU using Intel's Inference Engine backend.
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Enable Torch layers tests with Intel's Inference Engine backend.
6 years ago
Alexander Alekhin
dd8701c1a0
dnn(test): skip checks only for unstable tests
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but execute tested functions in Layer_Test_Halide/Convolution.Accuracy
6 years ago
Alexander Alekhin
74cf48b5d7
dnn(test): use Backend/Target enums
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instead of 'int'
6 years ago
Alexander Alekhin
4283309daa
dnn: update tests for OpenVINO models
6 years ago
Dmitry Kurtaev
28e08ae0bd
Add a sample which tests OpenVINO models
6 years ago
Dmitry Kurtaev
c213a3823e
Run entire SSDs from TensorFlow using Intel's Inference Engine
6 years ago
Dmitry Kurtaev
070393dfda
uint8 inputs for deep learning networks
6 years ago
Dmitry Kurtaev
6eb8faea85
Enable TensorFlow networks tests for different backends and targets
6 years ago
Dmitry Kurtaev
de6f0a537d
Fix fully-connected layer in case of number of rows less than 4
6 years ago
Dmitry Kurtaev
dcc1beb1f8
Clip kernel for OpenCL PriorBox layer
6 years ago
Alexander Alekhin
452fa3011c
dnn(test): drop CV_ENUM for DNNBackend / DNNTarget
6 years ago
Dmitry Kurtaev
d57e5406f0
Add readNet* functions which parse models from byte arrays
6 years ago
Alexander Alekhin
e2b5d11290
dnn: allow to use external protobuf
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"custom layers" feature will not work properly in these builds.
6 years ago
Alexander Alekhin
52b151dceb
dnn(test): use checkMyriadTarget() in Test_Caffe_layers.Conv_Elu test
6 years ago
asciian
61d8719b8d
Reading net from std::ifstream
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Remove some assertions
Replace std::ifstream to std::istream
Add test for new importer
Remove constructor to load file
Rename cfgStream and darknetModelStream to ifile
Add error notification to inform pathname to user
Use FileStorage instead of std::istream
Use FileNode instead of FileStorage
Fix typo
6 years ago
Dmitry Kurtaev
019c2f2115
Enable more deep learning tests
6 years ago
Dmitry Kurtaev
f25a01bb5a
Disable fusion to output layers
6 years ago
Dmitry Kurtaev
36288eebe7
Nearest neighbor resize from Keras
6 years ago
Dmitry Kurtaev
7ed5d85f25
Add Reshape layer tests
6 years ago
Dmitry Kurtaev
346871e27f
Set output layers names and types for models in DLDT's intermediate representation
6 years ago
Dmitry Kurtaev
dbeb4a11be
Parse strides and convolution kernel shapes considering data layout
6 years ago
Dmitry Kurtaev
b11e22c25b
Update Inference Engine tests
6 years ago
Dmitry Kurtaev
9510551c63
Multiple inputs for TensorFlow models
6 years ago
Dmitry Kurtaev
715f40a48d
Use layers consumers to predict data layout
6 years ago
Dmitry Kurtaev
e8e9d1d021
Implement Interp layer using Resize layer
6 years ago
Dmitry Kurtaev
4626246087
Add ShuffleChannel layer
6 years ago
Dmitry Kurtaev
40b85c1cd9
Remove undocumented feature to retreive layers outputs by indices
7 years ago
Dmitry Kurtaev
bd87eb6e66
Import average pooling and softmax layers from Darknet
7 years ago
Dmitry Kurtaev
693a7663e7
Import ClipByValue from Keras
7 years ago
Dmitry Kurtaev
2c291bc2fb
Enable FastNeuralStyle and OpenFace networks with IE backend
7 years ago
Dmitry Kurtaev
40765c5f8d
Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine
7 years ago
rockzhan
1187a7fa34
Merge pull request #11649 from rockzhan:dnn_dw_prelu
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dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu] (#11649 )
* this can make sure [depthwise conv(group=1) + bn + prelu] output not shift
* add TEST to show the output mismatch in [DWconv+Prelu]
* fix typo
* change loading image to init cvMat directly
* build runtime model, without loading external model
* remove whitespace
* change way to create a cvmat
* add bias_term, add target output
* fix [dwconv + prelu] value mismatch when no optimizations
* fix Test error when change output channels
* add parametric test
* change num_output to group value
* change conv code and change test back
7 years ago