/dports/graphics/opencv/opencv-4.5.3/samples/dnn/dnn_model_runner/dnn_conversion/common/evaluation/classification/ |
H A D | cls_data_fetcher.py | 27 def center_crop(self, img): member in DataFetch 42 img = self.center_crop(img) 72 img = self.center_crop(img)
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tools/ |
H A D | im2rec.cc | 86 int center_crop = 0; in main() local 108 if (!strcmp(key, "center_crop")) center_crop = atoi(val); in main() 131 if (center_crop) { in main() 252 if (center_crop) { in main()
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/tools/ |
H A D | im2rec.cc | 86 int center_crop = 0; in main() local 108 if (!strcmp(key, "center_crop")) center_crop = atoi(val); in main() 131 if (center_crop) { in main() 252 if (center_crop) { in main()
|
/dports/misc/mnn/MNN-1.2.0/tools/MNNPythonOfflineQuant/ |
H A D | calibration_dataset.py | 37 def center_crop(image_data, crop_factor): function 78 image_data = center_crop(image_data, 0.875)
|
/dports/misc/mnn/MNN-1.2.0/pymnn/examples/MNNTrain/quantization_aware_training/ |
H A D | imagenet_dataset.py | 36 def center_crop(image_data, crop_factor): function 81 image_data = center_crop(image_data, 0.85)
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/ |
H A D | crop-inl.h | 49 bool center_crop; member 60 DMLC_DECLARE_FIELD(center_crop).set_default(false) in DMLC_DECLARE_PARAMETER() 129 if (param_.center_crop) { in InferCropOfferset()
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/ |
H A D | crop-inl.h | 49 bool center_crop; member 60 DMLC_DECLARE_FIELD(center_crop).set_default(false) in DMLC_DECLARE_PARAMETER() 129 if (param_.center_crop) { in InferCropOfferset()
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/cpp-package/include/mxnet-cpp/ |
H A D | op_suppl.h | 141 bool center_crop = false) { 146 .SetParam("center_crop", center_crop)
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/cpp-package/include/mxnet-cpp/ |
H A D | op_suppl.h | 141 bool center_crop = false) { 146 .SetParam("center_crop", center_crop)
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet-Gluon-ModelZoo/examples/ |
H A D | image_classification.pl | 56 ($image) = mx->image->center_crop($image, [($model =~ /inception/ ? 299 : 224)x2]);
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet-Gluon-ModelZoo/examples/ |
H A D | image_classification.pl | 56 ($image) = mx->image->center_crop($image, [($model =~ /inception/ ? 299 : 224)x2]);
|
/dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/torch_glow/examples/ |
H A D | resnet_example.py | 24 image = torchvisionTransforms.center_crop(image, 224)
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/ |
H A D | data.py | 70 image, _ = mx.image.center_crop(image, (data_shape, data_shape)) 115 cropped, crop_info = mx.image.center_crop(resized, (224, 224))
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/ |
H A D | data.py | 70 image, _ = mx.image.center_crop(image, (data_shape, data_shape)) 115 cropped, crop_info = mx.image.center_crop(resized, (224, 224))
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python-pytest/onnx/ |
H A D | test_onnxruntime_cv.py | 318 img, _ = mx.image.center_crop(img, size=(512, 512)) 411 img, _ = mx.image.center_crop(img, size=(480, 480)) 476 img, _ = mx.image.center_crop(img, size=(512, 512))
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python-pytest/onnx/ |
H A D | test_onnxruntime_cv.py | 318 img, _ = mx.image.center_crop(img, size=(512, 512)) 411 img, _ = mx.image.center_crop(img, size=(480, 480)) 476 img, _ = mx.image.center_crop(img, size=(512, 512))
|
/dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/torch_glow/utils/torchvision_fake/ |
H A D | transforms.py | 66 def center_crop(img, output_size): function
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/embedding_learning/ |
H A D | data.py | 44 data, _ = mx.image.center_crop(data, (224, 224))
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/embedding_learning/ |
H A D | data.py | 44 data, _ = mx.image.center_crop(data, (224, 224))
|
/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/frontend/ |
H A D | mxnet.py | 267 center_crop = parse_bool_str(attrs, 'center_crop', default="False") 268 if center_crop:
|
/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/frontend/ |
H A D | mxnet.py | 267 center_crop = parse_bool_str(attrs, 'center_crop', default="False") 268 if center_crop:
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/lib/AI/MXNet/ |
H A D | Image.pm | 240 method center_crop(AI::MXNet::NDArray $src, Shape $size, Int $interp=2) 418 return [(__PACKAGE__->center_crop($src, $size, $interp))[0]];
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/lib/AI/MXNet/ |
H A D | Image.pm | 240 method center_crop(AI::MXNet::NDArray $src, Shape $size, Int $interp=2) 418 return [(__PACKAGE__->center_crop($src, $size, $interp))[0]];
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/docs/static_site/src/pages/api/perl/docs/tutorials/ |
H A D | io.md | 107 mx->image->center_crop
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/docs/static_site/src/pages/api/perl/docs/tutorials/ |
H A D | io.md | 107 mx->image->center_crop
|