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Types & classes57 in github.com/darglein/ADOP

⨍ Functions 206◇ Types & classes 57

↓ 1 callersClassMultiDatasetSampler

src/lib/data/Dataset.h:64

↓ 1 callersClassSceneCameraParams

src/lib/data/SceneData.h:115

↓ 1 callersClassSceneDatasetParams

src/lib/data/SceneData.h:88

↓ 1 callersClassTorchSingleSceneDataset

src/lib/data/Dataset.h:94

ClassADOPVRViewer

src/apps/adop_vr_viewer.cpp:23

ClassADOPViewer

src/apps/adop_viewer.h:35

ClassBackwardOutputOcam

src/lib/rendering/PointRendererHelper.h:173

ClassBackwardOutputPinhole

src/lib/rendering/PointRendererHelper.h:106

src/lib/config.h:23

EnumCameraModel

src/lib/data/SceneData.h:25

ClassCameraResponseNetImpl

src/lib/models/NeuralCamera.h:98

ClassCombinedParams

src/lib/data/Settings.h:330

ClassDevicePointCloud

A simple helper class to make the kernels more compact.

src/lib/rendering/NeuralPointCloudCuda.h:52

src/lib/opengl/RealTimeRenderer.h:45

ClassEnvironmentMapImpl

src/lib/rendering/EnvironmentMap.h:15

ClassExperiment

src/lib/opengl/RealTimeRenderer.h:37

ClassForwardResult

src/lib/models/Pipeline.h:99

Additional dataset information for the ground truth images. Includes, for example, the filenames for the images/masks.

src/lib/data/SceneData.h:70

This is the full info required for generating a novel frame. The realtime renderer automatically uploads the camera/pose params to the device.

src/lib/data/SceneData.h:48

ClassIntrinsicsModuleImpl

src/lib/data/NeuralStructure.h:41

src/lib/rendering/PointRenderer.h:65

ClassLossResult

src/lib/models/Pipeline.h:22

src/tests/test_loss.cpp:20

ClassMotionblurNetImpl

Also a test Not really used

src/lib/models/NeuralCamera.h:74

ClassMyTrainParams

src/lib/data/Settings.h:226

ClassNeuralCameraImpl

src/lib/models/NeuralCamera.h:120

ClassNeuralCameraParams

src/lib/data/Settings.h:68

ClassNeuralPipeline

src/lib/models/Pipeline.h:115

ClassNeuralPointCloud

src/lib/rendering/NeuralPointCloud.h:22

ClassNeuralPointCloudCudaImpl

src/lib/rendering/NeuralPointCloudCuda.h:19

ClassNeuralPointCloudOpenGL

src/lib/opengl/NeuralPointCloudOpenGL.h:14

ClassNeuralPointTextureImpl

[num_channels, num_points]

src/lib/models/NeuralTexture.h:18

ClassNeuralRenderInfo

src/lib/rendering/PointRenderer.h:25

ClassNeuralScene

src/lib/data/NeuralScene.h:21

ClassNeuralTrainer

src/apps/adop_train.cpp:291

ClassOptimizerParams

src/lib/data/Settings.h:100

ClassOutputImages

src/lib/rendering/PointRendererHelper.h:43

ClassPerSceneData

src/apps/adop_train.cpp:272

ClassPipelineParams

src/lib/data/Settings.h:183

ClassPointRender

src/lib/rendering/PointRenderer.h:39

ClassPointRenderModuleImpl

src/lib/rendering/RenderModule.h:10

ClassPointRendererCache

src/lib/rendering/PointRenderer.h:23

ClassPoseModuleImpl

src/lib/data/NeuralStructure.h:19

ClassRealTimeRenderer

Helper class which is able to use a pretrained network to render a neural point cloud The output is an RGB image of the given viewpoint

src/lib/opengl/RealTimeRenderer.h:21

ClassReducedImageInfo

The reduced image is actually passed to the render module and is used during training. Note that it does not contain the camera and pose parameters. T

src/lib/data/SceneData.h:34

ClassRenderImages

src/lib/rendering/PointRendererHelper.h:37

ClassRenderParams

src/lib/data/Settings.h:16

ClassRollingShutterNetImpl

This is just test. It does not work very well.

src/lib/models/NeuralCamera.h:53

ClassSAIGA_ALIGN

src/lib/rendering/NeuralPointCloud.h:16

src/lib/data/SceneData.h:20

ClassSceneDataTrainSampler

src/lib/data/Dataset.h:29

ClassSceneViewer

src/lib/opengl/SceneViewer.h:17

ClassTorchFrameData

src/lib/rendering/RenderInfo.h:18

ClassTrainScene

src/apps/adop_train.cpp:44

src/apps/viewer_base.h:14

ClassViewerBase

src/apps/viewer_base.h:25

ClassVignetteNetImpl

src/lib/models/NeuralCamera.h:19