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Functions3,743 in github.com/Gabesarch/ICAL

↓ 4 callersMethodiou_2d
Compute 2d IoU for two boxes in coordinate format.
TEACh/utils/wctb.py:777
↓ 4 callersMethodmap_and_explore
(self, render=False)
TEACh/models/agent/executor.py:76
↓ 4 callersFunctionmatch_name_keywords
(n, name_keywords)
TEACh/models/perception/alfred_RICK_SOLQ.py:50
↓ 4 callersFunctionmatch_name_keywords
(n, name_keywords)
TEACh/SOLQ/main.py:237
↓ 4 callersFunctiononed2inferno
(d, norm=True)
TEACh/utils/improc.py:351
↓ 4 callersMethodparse_object
(self, line, subgoals, objects, object_mapping, search_dict)
TEACh/prompt/run_gpt.py:418
↓ 4 callersFunctionpil_to_b64
(img: Image.Image)
Ego4d/ego4d_forecasting/models/gpt4v_model.py:65
↓ 4 callersFunctionprint
(*args, **kwargs)
TEACh/utils/dist.py:134
↓ 4 callersFunctionremove_small_regions
Removes small disconnected regions and holes in a mask. Returns the mask and an indicator of if the mask has been modified.
Ego4d/SoM/task_adapter/seem/tasks/inference_seem_pano.py:126
↓ 4 callersMethodrender_movie
(self, dir, episode, tag='', fps=5)
TEACh/task_base/animation_util.py:220
↓ 4 callersMethodreset_image
Args: img: same as in __init__
Ego4d/Tracking-Anything-with-DEVA/deva/inference/visualizer.py:298
↓ 4 callersFunctionround_width
(width, multiplier, min_width=1, divisor=1, verbose=False)
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/models/video_model_builder.py:1334
↓ 4 callersFunctionround_width
(width, multiplier, min_width=1, divisor=1, verbose=False)
Ego4d/ego4d_forecasting/models/video_model_builder.py:1334
↓ 4 callersMethodrun_llm_replan
( self, execution_error, code_remaining, code_finished, )
TEACh/models/agent/planner.py:725
↓ 4 callersFunctionscale
Scale the short side of the image to size. Args: size (int): size to scale the image. image (array): image to perform short s
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/datasets/cv2_transform.py:70
↓ 4 callersFunctionscale
Scale the short side of the image to size. Args: size (int): size to scale the image. image (array): image to perform short s
Ego4d/ego4d_forecasting/datasets/cv2_transform.py:70
↓ 4 callersMethodset_goal
(self, goal)
TEACh/map_and_plan/mess/shortest_path_planner.py:35
↓ 4 callersFunctionsigmoid_focal_loss
Loss used in RetinaNet for dense detection: https://arxiv.org/abs/1708.02002. Args: inputs: A float tensor of arbitrary shape.
TEACh/SOLQ/models/segmentation.py:303
↓ 4 callersMethodslice
Slices the object into pieces, assuming the agent is holding a knife and is at the object's location. Returns: bool: True if
TEACh/prompt/api_primitives_nodefinitions.py:76
↓ 4 callersMethodsort_masks_by_reprojected_from_ID
sorts masks by which are closer to reprojected point of ID masks: NxWxH ID: object id to reproject
TEACh/task_base/object_tracker.py:1034
↓ 4 callersMethodstep_back
( self, vis=None, text='Step back', object_tracker=None, )
TEACh/task_base/navigation.py:652
↓ 4 callersMethodsumm_gif
(self, name, tensor, blacken_zeros=False)
TEACh/utils/improc.py:709
↓ 4 callersMethodvalidation_step
(self, batch, batch_idx)
Ego4d/ego4d_forecasting/tasks/video_task.py:45
↓ 4 callersMethodwith_pos_embed
(self, tensor, pos: Optional[Tensor])
TEACh/nets/ID_Transformer/transformer.py:316
↓ 4 callersFunctionwrap2pi
(rad_angle)
TEACh/utils/py.py:123
↓ 4 callersFunctionwrap2pi
(rad_angle)
TEACh/utils/geom.py:935
↓ 3 callersMethodGetPascalVOCMetrics
Get the metrics used by the VOC Pascal 2012 challenge. Get Args: boundingboxes: Object of the class BoundingBoxes represen
TEACh/utils/Detection_Metrics/lib/Evaluator.py:27
↓ 3 callersMethodMem2Ref
(self, xyz_mem, Z, Y, X,assert_cube=True, device='cuda')
TEACh/utils/vox.py:182
↓ 3 callersMethodPlotPrecisionRecallCurve
PlotPrecisionRecallCurve Plot the Precision x Recall curve for a given class. Args: boundingBoxes: Object of the class Bou
TEACh/utils/Detection_Metrics/lib/Evaluator.py:156
↓ 3 callersFunctionPrintHelp
()
Ego4d/output/eval_slowfast_trf/Ego4D-Future-Locomotion/gen_model_fut_loc.py:104
↓ 3 callersFunctionPrintHelp
()
Ego4d/output/eval_slowfast_trf/Ego4D-Future-Locomotion/eval_fut_loc.py:51
↓ 3 callersMethodRef2Zoom
(self, xyz_ref, lrt_ref, Z, Y, X, additive_pad=0.0)
TEACh/utils/vox.py:1065
↓ 3 callersFunctionValidatePaths
(arg, nameArg, errors)
TEACh/utils/Detection_Metrics/pascalvoc.py:119
↓ 3 callersMethod__check_per_step_custom_properties
Check whether any custom object properties need to be updated; Should be called after taking each action
TEACh/teach/src/teach/simulators/simulator_THOR.py:259
↓ 3 callersMethod__generate_navigation_graph
Generate navigation graph: We construct a directed graph with nodes representing agent position and rotation. For every occupiable gr
TEACh/teach/src/teach/simulators/simulator_THOR.py:955
↓ 3 callersMethod__get_click_normalized_position_from_xz
Convert AI2-THOR x, z coordinate to a visual coordinate on topdown map for TEACh data collection :param x: x coordinate on AI
TEACh/teach/src/teach/simulators/simulator_THOR.py:2219
↓ 3 callersMethod__get_nav_graph_point
Get the index in the navigation graph nearest to the given x,z coord in AI2-THOR coordinates :param thor_x: x coordinate on AI2-THOR
TEACh/teach/src/teach/simulators/simulator_THOR.py:896
↓ 3 callersMethod__get_nav_graph_rot
Get the cardinal direction to rotate to, to be facing (thor_facing_x, thor_facing_x=z) when standing at (thor_x, thor_z) :par
TEACh/teach/src/teach/simulators/simulator_THOR.py:932
↓ 3 callersMethod__get_object_by_position
Get the object closet to the given position. :param m: output of get_objects() :param pos: object x, y, z dict pose :
TEACh/teach/src/teach/simulators/simulator_THOR.py:2720
↓ 3 callersMethod__get_y_rot_from_xz
Given (x, z) norm rotation (e.g., (0, 1)), return the closest degrees in [270, 180, 90, 0] matching.
TEACh/teach/src/teach/simulators/simulator_THOR.py:2264
↓ 3 callersMethod__init__
ResBlock class constructs redisual blocks. More details can be found in: Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun.
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/models/resnet_helper.py:235
↓ 3 callersMethod__init__
The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as input where
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/models/head_helper.py:16
↓ 3 callersMethod__init__
ResBlock class constructs redisual blocks. More details can be found in: Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun.
Ego4d/ego4d_forecasting/models/resnet_helper.py:235
↓ 3 callersMethod__init__
The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as input where
Ego4d/ego4d_forecasting/models/head_helper.py:16
↓ 3 callersMethod__init__
(self, in_dim: int, out_dim: int)
Ego4d/Tracking-Anything-with-DEVA/deva/model/group_modules.py:71
↓ 3 callersMethod__init__
(self, gate_channels, reduction_ratio=16, pool_types=['avg', 'max'], no_spatial=False)
Ego4d/Tracking-Anything-with-DEVA/deva/model/cbam.py:67
↓ 3 callersMethod__init__
(self, input_dim, hidden_dim, output_dim, num_layers)
TEACh/nets/ID_Transformer/network_base.py:396
↓ 3 callersMethod__init__
(self, backbone, position_embedding)
TEACh/nets/ID_Transformer/backbone.py:131
↓ 3 callersMethod__init__
(self, backbone, position_embedding)
TEACh/SOLQ/models/backbone.py:131
↓ 3 callersMethod__init__
( self, archi, device="cuda", checkpoint_path=None, share_memory=False
TEACh/teach/src/teach/modeling/ET/alfred/nn/enc_visual.py:55
↓ 3 callersFunction_create_text_labels
Args: classes (list[int] or None): scores (list[float] or None): class_names (list[str] or None): is_crowd (list[
Ego4d/SoM/task_adapter/utils/visualizer.py:231
↓ 3 callersFunction_create_text_labels
Args: classes (list[int] or None): scores (list[float] or None): class_names (list[str] or None): is_crowd (list[
Ego4d/Tracking-Anything-with-DEVA/deva/inference/visualizer.py:234
↓ 3 callersMethod_get_action
(self, ID)
TEACh/map_and_plan/mess/explore.py:390
↓ 3 callersFunction_get_activation_fn
Return an activation function given a string
TEACh/SOLQ/models/deformable_transformer_stp.py:848
↓ 3 callersFunction_get_clones
(module, N)
TEACh/SOLQ/models/deformable_transformer_stp.py:840
↓ 3 callersMethod_get_reachable_area
(self)
TEACh/map_and_plan/mess/explore.py:1044
↓ 3 callersMethod_jitter
Randomly modifies given color to produce a slightly different color than the color given. Args: color (tuple[double]): a
Ego4d/SoM/task_adapter/utils/visualizer.py:1245
↓ 3 callersMethod_jitter
Randomly modifies given color to produce a slightly different color than the color given. Args: color (tuple[double]): a
Ego4d/Tracking-Anything-with-DEVA/deva/inference/visualizer.py:1250
↓ 3 callersFunction_keys2ids
(keys: list[int | str] | str)
VisualWebArena/browser_env/actions.py:390
↓ 3 callersMethod_load_lists
(self, _list)
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/datasets/short_term_anticipation.py:357
↓ 3 callersMethod_load_lists
(self, _list)
Ego4d/ego4d_forecasting/datasets/short_term_anticipation.py:357
↓ 3 callersMethod_map_classes
Return the classes related to the predictions. These are used to specify how to compute mAP. :param preds: the predictions :r
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/evaluation/sta_metrics.py:207
↓ 3 callersMethod_map_classes
Return the classes related to the predictions. These are used to specify how to compute mAP. :param preds: the predictions :r
Ego4d/ego4d_forecasting/evaluation/sta_metrics.py:207
↓ 3 callersMethod_readout
(self, affinity, v)
Ego4d/Tracking-Anything-with-DEVA/deva/inference/memory_manager.py:64
↓ 3 callersFunction_run
(command)
TEACh/utils/misc.py:290
↓ 3 callersFunction_run
(command)
TEACh/nets/ID_Transformer/util/misc.py:294
↓ 3 callersFunction_run
(command)
TEACh/SOLQ/util/misc.py:294
↓ 3 callersMethod_segment
(self, key: torch.Tensor, selection: torch.Tensor, ms_featu
Ego4d/Tracking-Anything-with-DEVA/deva/inference/inference_core.py:89
↓ 3 callersFunction_update_dict_stats
Updates a given dict with corresponding counts.
Ego4d/Tracking-Anything-with-DEVA/deva/vps_metrics/segmentation_and_tracking_quality.py:29
↓ 3 callersMethodaclose
(self)
VisualWebArena/browser_env/async_envs.py:116
↓ 3 callersMethodadd_interaction
(self, interaction)
TEACh/teach/src/teach/dataset/episode.py:23
↓ 3 callersMethodadd_tensor
(self, key: str, tensor: torch.Tensor)
Ego4d/Tracking-Anything-with-DEVA/deva/utils/log_integrator.py:23
↓ 3 callersMethodadd_to_temporary_buffer
(self, frame_info: FrameInfo)
Ego4d/Tracking-Anything-with-DEVA/deva/inference/inference_core.py:115
↓ 3 callersFunctionaexecute_focus
Click the specified DOM element.
VisualWebArena/browser_env/actions.py:998
↓ 3 callersFunctionaggregate_metrics
compute overall success and goal_condition success rates along with path-weighted metrics
TEACh/teach/src/teach/eval/compute_metrics.py:71
↓ 3 callersFunctionall_gather
Run all_gather on arbitrary picklable data (not necessarily tensors) Args: data: any picklable object Returns: list[data]
TEACh/SOLQ/util/misc.py:129
↓ 3 callersFunctionarea
(boxes)
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/evaluation/sta_metrics.py:17
↓ 3 callersFunctionarea
(boxes)
Ego4d/ego4d_forecasting/evaluation/sta_metrics.py:17
↓ 3 callersMethodarea
(self)
Ego4d/SoM/task_adapter/utils/visualizer.py:144
↓ 3 callersMethodarea
(self)
Ego4d/Tracking-Anything-with-DEVA/deva/inference/visualizer.py:147
↓ 3 callersFunctionbase_transform
(im, size)
Ego4d/Tracking-Anything-with-DEVA/deva/utils/image_saver.py:90
↓ 3 callersFunctionblend
Blend two images with a given weight alpha. Args: images1 (tensor): the first images to be blended, the dimension is `num
Ego4d/output/eval_slowfast_trf/ego4d_forecasting/utils/transform.py:205
↓ 3 callersFunctionblend
Blend two images with a given weight alpha. Args: images1 (tensor): the first images to be blended, the dimension is `num
Ego4d/ego4d_forecasting/utils/transform.py:205
↓ 3 callersFunctionboxlist_2d_iou
Input: [boxlist1, boxlist2]: N x 4 each, or B x N x 4 Ordering: ymin, xmin, ymax, xmax Output: [IoUs]: N x 1 or B x N
TEACh/utils/box.py:139
↓ 3 callersFunctionbuild_dataset
(image_set, args)
TEACh/SOLQ/datasets/__init__.py:26
↓ 3 callersFunctioncached_text_embedding
If text is in cache, return cached embedding. Otherwise, compute and store.
VisualWebArena/agent/prompts/retrieval_augmented_prompt_faiss.py:54
↓ 3 callersFunctioncheck_for_detections
rgb: single rgb image NOTE: currently this only handles a single RGB
TEACh/utils/ddetr_utils.py:311
↓ 3 callersMethodcheck_object_type
(obj, desired_value)
TEACh/teach/src/teach/dataset/task_THOR.py:605
↓ 3 callersMethodclose
Closes the interaction object. Note: Assumes object is open and agent is at its location. Objects like fridges, cabi
TEACh/models/agent/api_primitives_executable.py:390
↓ 3 callersMethodclose
(self)
VisualWebArena/real_time_agent_runner.py:415
↓ 3 callersFunctioncollate_actions
(actions: list[Action])
VisualWebArena/tests/test_browser_env/test_script_browser_env.py:77
↓ 3 callersFunctionconv1x1
1x1 convolution
TEACh/SOLQ/models/resnet.py:37
↓ 3 callersFunctionconv3x3
3x3 convolution with padding
TEACh/SOLQ/models/resnet.py:31
↓ 3 callersFunctionconvert_to_xywh
(boxes)
TEACh/SOLQ/datasets/coco_eval.py:218
↓ 3 callersFunctioncreate_key_press_action
Return the key press action
VisualWebArena/browser_env/actions.py:533
↓ 3 callersMethodcreate_new_object_entry
(self, attributes)
TEACh/task_base/object_tracker.py:518
↓ 3 callersFunctioncreate_random_action
Return a random action.
VisualWebArena/browser_env/actions.py:439
↓ 3 callersFunctioncrop
(image, target, region)
TEACh/SOLQ/datasets/transforms.py:25
↓ 3 callersMethodcutout
(p=0.5, scale=(0.02, 0.33), ratio=(0.3, 3.3), value=0.0)
TEACh/teach/src/teach/modeling/ET/alfred/nn/transforms.py:39
↓ 3 callersMethoddelete
(self, index)
Ego4d/Tracking-Anything-with-DEVA/deva/inference/image_feature_store.py:39
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