Args: cfg (CfgNode): configs. Details can be found in slowfast/config/defaults.py async_vis (AsyncVis

Args: cfg (CfgNode): configs. Details can be found in slowfast/config/defaults.py gpu_id (Optional[in

Args: model (nn.Module): the model containing layers to obtain weights and activations from. layers (list of strings)

Args: model (model): the model to be used. target_layers (list of str(s)): name of convolutional layer to be used to

Args: cfg (CfgNode): configs. Details can be found in slowfast/config/defaults.py

Args: cfg (CfgNode): configs. Details can be found in slowfast/config/defaults.py

Construct the Kinetics video loader with a given csv file. The format of the csv file is: ``` path_to_video_1 label_1

Load Something-Something V2 data (frame paths, labels, etc. ) to a given Dataset object. The dataset could be downloaded from Somethi

Args: mixup_alpha (float): Mixup alpha value. cutmix_alpha (float): Cutmix alpha value. mix_prob (float):

Construct the dataset. Args: num_vidoes (int): number of videos in the dataset. clips_per_video (int): numbe

Load Charades data (frame paths, labels, etc. ) to a given Dataset object. The dataset could be downloaded from Chrades official webs

Load Something-Something data (frame paths, labels, etc. ) to a given Dataset object. The dataset could be downloaded from Something-

Args: dim (int): number of dimension for the input. dim_inner (int): number of dimension inside of the Non-local bloc

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildi

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildi

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildi

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildi

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildi

Args: num_splits (int): number of splits. args (list): other arguments.

Args: dim_in (int): the channel dimension of the input. fusion_conv_channel_ratio (int): channel ratio for the convol

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildin

The `__init__` method of any subclass should also contain these arguments. Args: cfg (CfgNode): model buildi

Args: dim_in (int): the channel dimensions of the input. dim_out (int): the channel dimension of the output.

Args: dim_in (int): the channel dimensions of the input. dim_out (int): the channel dimension of the output.

Args: dim_in (int): the channel dimensions of the input. dim_out (int): the channel dimension of the output.

The `__init__` method of any subclass should also contain these arguments. ResStage builds p streams, where p can be greater or equal

The `__init__` method of any subclass should also contain these arguments. List size of 1 for single pathway models (C2D, I3D, Slow

The `__init__` method of any subclass should also contain these arguments. Args: dim_in (int): the channel dimension of

The `__init__` method of any subclass should also contain these arguments. ResNetRoIHead takes p pathways as input where

The `__init__` method of any subclass should also contain these arguments. ResNetBasicHead takes p pathways as input wher

The `__init__` method of any subclass should also contain these arguments. X3DHead takes a 5-dim feature tensor (BxCxTxHx

Perform linear projection and activation as head for tranformers. Args: dim_in (int): the channel dimension of the input

Args: dim_in (int): the channel dimensions of the input. ratio (float): the channel reduction ratio for squeeze.

Returns: (int): the number of videos in the dataset.

Returns: (int): the number of videos in the dataset.

Returns: (int): the number of videos in the dataset.

Returns: (int): the number of clips per replica in the IterableDataset.

Returns: (int): the number of videos in the dataset.

Returns: (int): the number of videos in the dataset.

Read and return the required number of frames for 1 clip. Returns: was_read (bool): False if not enough frames to return.

Retrieves the next clip from the dataset.

Return a clip corresponding to a keyframe index for visualization. Args: keyframe_idx (int): keyframe index.

Return a layer (nn.Module Object) given a hierarchical layer name, separated by /. Args: layer_name (str): the name of th