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ultralytics 8.0.90 actions and docs improvements (#2326)

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Glenn Jocher 2023-04-29 20:16:56 +02:00 • committed by GitHub
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11
ultralytics/vit/sam/modules/encoders.py
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@ -233,10 +233,10 @@ class PromptEncoder(nn.Module):
embeddings.
Arguments:
points (tuple(torch.Tensor, torch.Tensor) or none): point coordinates
points (tuple(torch.Tensor, torch.Tensor), None): point coordinates
and labels to embed.
boxes (torch.Tensor or none): boxes to embed
masks (torch.Tensor or none): masks to embed
boxes (torch.Tensor, None): boxes to embed
masks (torch.Tensor, None): masks to embed
Returns:
torch.Tensor: sparse embeddings for the points and boxes, with shape
@ -337,7 +337,7 @@ class Block(nn.Module):
rel_pos_zero_init (bool): If True, zero initialize relative positional parameters.
window_size (int): Window size for window attention blocks. If it equals 0, then
use global attention.
input_size (tuple(int, int) or None): Input resolution for calculating the relative
input_size (tuple(int, int), None): Input resolution for calculating the relative
positional parameter size.
"""
super().__init__()
@ -392,9 +392,8 @@ class Attention(nn.Module):
dim (int): Number of input channels.
num_heads (int): Number of attention heads.
qkv_bias (bool): If True, add a learnable bias to query, key, value.
rel_pos (bool): If True, add relative positional embeddings to the attention map.
rel_pos_zero_init (bool): If True, zero initialize relative positional parameters.
input_size (tuple(int, int) or None): Input resolution for calculating the relative
input_size (tuple(int, int), None): Input resolution for calculating the relative
positional parameter size.
"""
super().__init__()