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Source - AutoGazeCausalLmOutput
- AutoGazeClipShape
- AutoGazeConfig
- AutoGazeDeviceGenerateOutput
- AutoGazeDeviceMask
- AutoGazeDeviceReadoutRunOutput
- AutoGazeDeviceTokens
- AutoGazeEmaMetric
- AutoGazeEmbedOutput
- AutoGazeGazeRatioStats
- AutoGazeGazingModel
- AutoGazeGenerateOutput
- AutoGazeInferenceSequencer
- Monotonic sequence gate for asynchronous AutoGaze inference results.
- AutoGazeLoadOptions
- AutoGazeMaskPlanStats
- AutoGazePatchDiffConfig
- AutoGazePatchDiffDeviceMask
- AutoGazePipeline
- AutoGazePipelineOptions
- AutoGazePipelinePacket
- AutoGazePreparedRun
- AutoGazePsnrStats
- AutoGazeReadoutRunOutput
- Selected fixation points from a prepared AutoGaze run.
- AutoGazeReadoutStats
- AutoGazeRealtimePolicy
- Frontend admission policy for realtime AutoGaze streams.
- AutoGazeRgbaClip
- AutoGazeRgbaClipShape
- AutoGazeRgbaFrameClip
- AutoGazeRgbaFrameQueue
- AutoGazeRgbaVisualizationBuffers
- Reusable RGBA work buffers for allocation-stable CPU visualization.
- AutoGazeRgbaVisualizationOptions
- AutoGazeScaleTokenLayout
- AutoGazeScaleTokenMask
- AutoGazeSparseUpdatePlan
- AutoGazeStreamingCache
- Stateful generation cache for advancing an AutoGaze video stream one frame at a time.
- AutoGazeTensorClip
- AutoGazeTensorClipShape
- AutoGazeTensorPipeline
- AutoGazeTensorPipelineConfig
- AutoGazeTensorVisualization
- AutoGazeTensorVisualizationOptions
- AutoGazeTensorVisualizationPanels
- AutoGazeTensorVisualizationState
- AutoGazeTile
- AutoGazeTileLayout
- AutoGazeTraceRunOutput
- AutoGazeTraceStore
- AutoGazeVisualization
- AutoGazeVisualizationPanels
- AutoGazeVisualizationPanelsView
- AutoGazeVisualizationState
- Connector
- ConnectorConfig
- Conv3dBlockForStreaming
- FixationBounds
- FixationPixelRect
- FixationPoint
- FixationSet
- FnOutputNode
- FrameFixationTrace
- GazeDecoderConfig
- GazeModelConfig
- ImagePyramidLevel
- ImagePyramidMask
- ImagePyramidMaskOptions
- ImagePyramidTokens
- NativeAutoGazeModel
- RgbaClipInput
- ShallowVideoConvNet
- SparseImagePyramidTokens
- SparseReadoutGrid
- Downstream image-token grid used to project AutoGaze regions into sparse readout tokens.
- SparseReadoutOptions
- Projection options for converting AutoGaze fixations into sparse image readout tokens.
- SparseReadoutRect
- Normalized image-space rectangle selected for sparse downstream readout.
- SparseVideoPatchGeometry
- Video/tubelet/patch geometry for downstream sparse video patchifiers.
- SparseVideoReadoutGrid
- Sparse video-token grid used to project per-frame image readout into
downstream tubelet or temporal-token layouts.
- SparseVideoReadoutOptions
- Projection options for converting per-frame image readout into sparse video
token indices.
- SparseVideoReadoutProjection
- Complete sparse-video projection settings for adapting AutoGaze image
readout into a downstream video-token grid.
- TensorClipInput
- VecOutputNode
- VisionModelConfig
- AutoGazeDecodeStrategy
- Greedy decoder readout strategy for streaming AutoGaze generation.
- AutoGazeInferenceMode
- AutoGazeMaskGeometryMode
- AutoGazeMaskVisualizationMode
- AutoGazeSparseMaskSource
- AutoGazeTaskLossOption
- AutoGazeTensorInterframePath
- AutoGazeVisualizationMode
- AUTO_GAZE_IMAGE_MEAN
- AUTO_GAZE_IMAGE_STD
- AUTO_GAZE_PROCESSOR_SHORT_EDGE
- AUTO_GAZE_RESCALE_FACTOR
- DEFAULT_BLEND_ALPHA
- Default alpha for readable white-mask overlays.
- DEFAULT_KEYFRAME_DURATION
- Default keyframe interval for interframe visualization.
- DEFAULT_MAX_IN_FLIGHT
- Default maximum number of realtime AutoGaze inference tasks in flight.
- DEFAULT_METRIC_EMA_ALPHA
- Default exponential moving average coefficient used by AutoGaze runtime metrics.
- DEFAULT_MODEL_GENERATION_BUDGET
- Wrapper sentinel for keeping the model’s configured generation budget.
- DEFAULT_PATCH_DIFF_GRID_SIZE
- DEFAULT_PATCH_DIFF_THRESHOLD
- DEFAULT_REALTIME_FRAMES_PER_CLIP
- Default number of frames kept in realtime input windows.
- DEFAULT_REALTIME_TOP_K
- Default number of displayed trace slots for realtime resize-mode streams.
- DEFAULT_TENSOR_FULL_FRAME_UPDATE_MIN_RATIO
- DEFAULT_TENSOR_SPARSE_UPDATE_MAX_RATIO
- DEFAULT_TENSOR_SPARSE_UPDATE_MAX_RECTS
- DEFAULT_TILED_FRAMES_PER_CLIP
- Default number of frames kept in tiled input windows.
- DEFAULT_TILED_MAX_GAZE_TOKENS
- Default per-frame generated-token cap for tiled inspection modes.
- DEFAULT_TILED_TILE_BATCH_SIZE
- Default tile batch size for tiled AutoGaze embedding and tracing.
- DEFAULT_TILED_TOP_K
- Default displayed trace slots per tile for tiled inspection modes.
- AutoGazeInputNode
- AutoGazeOutputNode
- AutoGazeTeacher
- apply_image_mask
- batched_video_readout_tokens_to_coord_tensor
- Convert per-batch sparse video-token indices directly into a flattened Burn
coordinate tensor with shape
[rows, 4]. - batched_video_readout_tokens_to_coords
- Convert per-batch sparse video-token indices into flattened sparse
patchification coordinates.
- copy_sparse_update_rgba
- Copy source RGBA pixels for sparse update rectangles into a persistent output frame.
- copy_sparse_update_tensor
- ema_metric
- fixation_alpha_mask
- fixation_cell_rects
- fixation_deduplicated_cell_rects
- fixation_deduplicated_sparse_update_plan
- Build native-scale sparse update rectangles after dropping fully covered cells.
- fixation_effective_alpha_mask
- Build a projected sparse footprint from multi-scale gaze tokens.
- fixation_effective_cell_rects
- fixation_effective_scale_mask_rgba
- Colorize the same projected cells used by
fixation_effective_alpha_mask. - fixation_effective_scale_mask_rgba_into
- fixation_effective_sparse_update_plan
- Build sparse update rectangles projected onto the finest active gaze grid.
- fixation_image_mask_only_rgba
- fixation_image_mask_only_rgba_into
- fixation_image_mask_tensor
- fixation_image_overlay_mask_rgba
- fixation_image_overlay_mask_rgba_into
- fixation_mask_rgba
- fixation_mask_rgba_into
- fixation_points_to_readout_rects
- Convert AutoGaze fixation points into normalized readout rectangles.
- fixation_points_to_readout_tokens
- Convert AutoGaze fixation points directly into sparse image readout token indices.
- fixation_rect_union_pixel_count
- fixation_scale_mask_rgba
- fixation_scale_mask_rgba_into
- fixation_scale_rows_mask_rgba
- fixation_scale_rows_mask_rgba_into
- fixation_sparse_update_plan
- Build the native-scale sparse update rectangles used by the default AutoGaze visualization.
- format_fps
- format_gaze_ratio_percent
- format_psnr_db
- fps_from_millis
- frame_fixation_masks_tensor
- frame_readout_rects_to_video_coord_tensor
- Project per-frame normalized readout rectangles directly into a Burn sparse
video-coordinate tensor with shape
[rows, 4]. - frame_readout_rects_to_video_coords
- Project per-frame normalized readout rectangles into sparse video-token
coordinates for downstream sparse patchification kernels.
- frame_readout_rects_to_video_tokens
- Project per-frame normalized readout rectangles into a sparse video-token grid.
- frame_readout_tokens_to_video_coord_tensor
- Project per-frame image readout token indices directly into a Burn sparse
video-coordinate tensor with shape
[rows, 4]. - frame_readout_tokens_to_video_coords
- Project per-frame image readout token indices into sparse video-token
coordinates for downstream sparse patchification kernels.
- frame_readout_tokens_to_video_tokens
- Project per-frame image readout token indices into a sparse video-token grid.
- generated_frame_readout_rects
- Convert one frame from generated AutoGaze output into normalized readout rectangles.
- generated_frame_readout_tokens
- Convert one frame from generated AutoGaze output into sparse image readout token indices.
- generated_to_frame_readout_rects
- Convert every frame from generated AutoGaze output into normalized readout rectangles.
- generated_to_frame_readout_tokens
- Convert every frame from generated AutoGaze output into sparse image readout token indices.
- generated_to_video_readout_coord_tensor
- Convert generated AutoGaze output directly into a Burn sparse-video
coordinate tensor with shape
[rows, 4]. - generated_to_video_readout_coords
- Convert generated AutoGaze output directly into downstream sparse-video
coordinates.
- generated_to_video_readout_tokens
- Convert generated AutoGaze output directly into downstream sparse
video-token indices.
- image_pyramid_masks
- last_rgba_frame
- normalized_rgb_clip_to_unit_rgba_tensor
- patch_diff_device_mask_async
- patch_diff_points_to_traces
- patch_diff_readout_points
- patch_diff_readout_points_async
- patch_diff_scores
- prepare_rgba_clip_for_trace
- readout_rects_to_tokens
- Project normalized readout rectangles onto a sparse image-token grid.
- resize_dimensions_preserving_aspect
- resize_rgba_frame_to_dimensions
- resize_video_shortest_edge
- rgba_clip_to_inference_tensor
- rgba_clip_to_processor_tensor
- rgba_clip_to_tensor
- sanitize_gaze_ratio
- scale_token_layouts
- should_use_streaming_cache
- sparsify_image_pyramid_tokens
- task_loss_requirement_from_l1_db
- task_loss_requirement_to_l1_db
- tokenize_masked_image_pyramid
- trace_frame_readout_rects
- Convert one frame of an AutoGaze trace into normalized readout rectangles.
- trace_frame_readout_tokens
- Convert one frame of an AutoGaze trace into sparse image readout token indices.
- trace_to_frame_readout_rects
- Convert every frame in an AutoGaze trace into normalized readout rectangles.
- trace_to_frame_readout_tokens
- Convert every frame in an AutoGaze trace into sparse image readout token indices.
- trace_to_video_readout_coord_tensor
- Convert an AutoGaze trace directly into a Burn sparse-video coordinate
tensor with shape
[rows, 4]. - trace_to_video_readout_coords
- Convert an AutoGaze trace directly into downstream sparse-video coordinates.
- trace_to_video_readout_tokens
- Convert an AutoGaze trace directly into downstream sparse video-token
indices.
- video_frame_tensor
- video_readout_coords_to_tensor
- Convert sparse patchification coordinate rows into a Burn int tensor with
shape
[rows, 4]. - video_readout_tokens_to_coord_tensor
- Convert sparse video-token indices directly into a Burn coordinate tensor
with shape
[rows, 4]. - video_readout_tokens_to_coords
- Convert sparse video-token indices into
[batch, temporal, row, col]
coordinates for downstream sparse patchification kernels. - visualize_fixations_rgba
- NdArrayAutoGazeModel
- NdArrayAutoGazePipeline
- WebGpuAutoGazeModel
- WebGpuAutoGazePipeline
- WgpuAutoGazeModel
- WgpuAutoGazePipeline