ETRI IVCL
1.0.0
Acceleration SW Platform for Ondevice
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Namespace List
Here is a list of all namespaces with brief descriptions:
[detail level
1
2
3
]
►
N
bgr_to_yuv
C
BGRtoYUV
►
N
bilinear_sampler
C
BilinearSampler
►
N
bilinear_sampler_layer
C
BilinearSamplerLayer
►
N
bilinear_sampler_layer_3ch
C
BilinearSamplerLayer3ch
►
N
blur_layer
C
BlurLayer
►
N
caffe
C
FlowWarpLayer
►
N
center_lf
C
CenterLF
►
N
dataset_loader
C
inverse_warp_get_cost
C
SequenceFolder
N
datasetPreprocess
N
denseUNet
N
denseUNet_best
►
N
deployment
C
inverse_warp_get_cost
►
N
depthNet_model
C
depthNet
►
N
depthNet_model_v2_for_export
C
depthNet
Handcrafted Multi-view Stereo Network
Estimate depth map
►
N
edge_layer
C
EdgeLayer
►
N
estimation_layer
C
EstimationLayer
►
N
euclidean_loss_layer
C
EuclideanLossLayer
►
N
euclidean_loss_layer2
C
EuclideanLossLayer2
N
Export_model
N
extract_seconds
►
N
FIB
C
fibheap
C
fibheap_el
►
N
GraphCutAL
C
Block
C
DBlock
C
Graph
►
N
GraphCutFS
C
Block
C
DBlock
►
C
Graph
C
arc_for_block_st
C
arc_forward_st
C
arc_rev_block_st
C
arc_reverse_st
C
node_block_st
C
node_st
C
nodeptr_st
►
N
half_float
►
N
detail
C
binary_t
Tag type for binary construction
C
bits
Type traits for floating-point bits
C
bits< const T >
C
bits< const volatile T >
C
bits< double >
Unsigned integer of (at least) 64 bits width
C
bits< float >
Unsigned integer of (at least) 32 bits width
C
bits< volatile T >
C
bool_type
Helper for tag dispatching
C
conditional
Conditional type
C
conditional< false, T, F >
C
f31
Class for 1.31 unsigned floating-point computation
C
half_caster
C
half_caster< half, half, R >
C
half_caster< half, U, R >
C
half_caster< T, half, R >
C
is_float
Type traits for floating-point types
C
is_float< const T >
C
is_float< const volatile T >
C
is_float< double >
C
is_float< float >
C
is_float< long double >
C
is_float< volatile T >
C
half
►
N
horizontal_mean_layer
C
HorizontalMeanLayer
►
N
image_print_layer
C
ImagePrintLayer
►
N
image_read_layer
C
ImageReadLayer
►
N
image_transform
C
ImageTransform
►
N
image_transform_3x3
C
ImageTransform3x3
►
N
input_shifting_layer
C
InputShiftingLayer
►
N
lf_add2_layer
C
LfAdd2Layer
►
N
lf_add9_layer
C
LfAdd9Layer
►
N
lf_axis_mean_layer
C
LfAxisMeanLayer
►
N
lf_extract_layer
C
LfExtractLayer
N
lf_func
►
N
lf_image_data_layer8x8
C
LfImageDataLayer8x8
►
N
lf_mean_layer
C
LfMeanLayer
►
N
lf_reloc_layer
C
LfRelocLayer
►
N
lf_result_layer
C
LfResultLayer
N
LF_to_SAIs
N
lf_utils
N
loss_functions
►
N
MC
C
gridcell
C
triangle
C
xyz
►
N
my_image_data_layer
C
MyImageDataLayer
►
N
norm_layer
C
NormLayer
N
parse_log
►
N
print_error_layer
C
PrintErrorLayer
►
N
print_layer
C
PrintLayer
►
N
print_scaled
C
PrintScaledLayer
►
N
print_shape_layer
C
PrintShapeLayer
N
reconstruction
►
N
resize_and_crop_images
C
OpenCVResizeCrop
C
PILResizeCrop
Http://united-coders.com/christian-harms/image-resizing-tips-every-coder-should-know/
C
ResizeCropImagesMapper
N
SAIs_to_LF
►
N
shape_changer
C
ShapeChanger
N
shift_test
N
simple_util
►
N
std
Extensions to the C++ standard library
C
numeric_limits< half_float::half >
N
summarize
►
N
total_loss_layer
C
TotalLossLayer
N
train
►
N
Ui
C
MainWindow
N
util
►
N
vertical_mean_layer
C
VerticalMeanLayer
►
N
visualization_layer
C
VisualizationLayer
►
N
visualization_layer_norm
C
VisualizationLayer
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