Video model

class apps.expert.core.congruence.video_emotions.video_model.DAN(num_class: int = 8, num_head: int = 4, pretrained: bool = True, device: torch.device | None = None)

Bases: Module

Distract Your Attention Network implementation.

Distract Your Attention Network performs facial expression recognition on tensor face images.

property device: device

Check the device type.

Returns:

Device type on local machine.

Return type:

torch.device

forward(x: Tensor) → Tuple[Tensor, Tensor, Tensor]

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class apps.expert.core.congruence.video_emotions.video_model.CrossAttentionHead

Bases: Module

forward(x: Tensor) → Tensor

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class apps.expert.core.congruence.video_emotions.video_model.SpatialAttention

Bases: Module

forward(x: Tensor) → Tensor

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

class apps.expert.core.congruence.video_emotions.video_model.ChannelAttention

Bases: Module

forward(sa: Tensor) → Tensor

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.