:param tensor: (c,h,w) :param max_image: :return:

Takes in the direction the camera is pointing and the camera origin and returns a world2cam matrix.

r"""source: pytorch 1.9.0, only one modification to original code

NS : number of source src_images : NS x B x C x H x W src_camposes : (NS x B x 2), 2 is pitch and yaw or None render_

fake vqmodel interface

Performs NeRF volumetric rendering.

inputs : from dataloader, must have image_key full_render_partial_grad : rendering full resolution but gradiendt is calculated partia

inputs : from dataloader, must have image_key full_render_partial_grad : rendering full resolution but gradiendt is calculated partia

Args: input_tensor: shape(batch, channel, x_dim, y_dim)

output : dictionary type

output : dictionary type

For extracting ResNet's features. :param x image (B, C, H, W) :return latent (B, latent_dim)

For extracting ResNet's features. :param x image (B, C, H, W) :return latent (B, latent_dim)

For extracting ResNet's features. :param x image (B, C, H, W) :return latent (B, latent_dim)