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epi-attention's Introduction

Epi-Attention

CUDA Implementation of Computing Epipolar Attention Mask from SPAD. Our implementation is 1000x faster than numpy-based implementation of SPAD.

Installation

cd epi-attention;
pip install .

Usage

# Emit ray from src camera and project onto tgt camera screen
setting = EpiAttentionSettings(
    image_height=image_height,  # image height
    image_width=image_width,    # image width
    tan_fov=tan_fov,            # math.tan(0.5 * fov)
    projmatrix=full_proj_matrix,# full projection matrix of tgt camera
    unproj_depth=1.5,           # camera distance
    dilate_size=1               # dilated size [-d, d], 0 for none
)
attn = EpiAttention(setting)
mask = attn.compute_attention_mask(pose)    # src camera pose(c2w)
# return type [hw, hw] from src to tgt.

Match

You can check the results of SPAD and our implementation by commands.

python test.py

Visualize

You can visualize the epipolar line by commands.

python visualize.py

Please check index in visualize.py for using different images in assets.

epi-attention's People

Contributors

logan0601 avatar

Stargazers

 avatar Chen Wang avatar  avatar  avatar yangfan avatar  avatar

Watchers

Kostas Georgiou avatar  avatar

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