Python-DenseFusion6D物体姿态估计.zip
(预估有个55文件)
DenseFusion-master
experiments
logs
ycb
.gitignore
5B
linemod
.gitignore
5B
scripts
train_linemod.sh
190B
eval_ycb.sh
598B
eval_linemod.sh
345B
train_ycb.sh
179B
eval_result
ycb
Densefusion_iterative_result
.gitignore
5B
Densefusion_wo_refine_result
.gitignore
5B
linemod
.gitignore
5B
lib
utils.py
461B
pspnet.py
2KB
loss.py
4KB
transformations.py
65KB
knn
src
knn_cuda_kernel.h
445B
knn_pytorch.c
2KB
knn_pytorch.h
97B
knn_cuda_kernel.cu
8KB
__init__.py
1KB
build
knn_cuda_kernel.so
20KB
build_ffi.py
716B
Makefile
877B
knn_pytorch
__init__.py
385B
_knn_pytorch.so
602KB
__pycache__
__init__.cpython-35.pyc
589B
__init__.cpython-36.pyc
548B
loss_refiner.py
4KB
network.py
7KB
extractors.py
4KB
trained_models
ycb
.gitignore
5B
linemod
.gitignore
5B
datasets
ycb
dataset_config
train_data_list.txt
1.48MB
classes.txt
338B
test_data_list.txt
49KB
dataset.py
11KB
linemod
dataset_config
models_info.yml
2KB
dataset.py
9KB
replace_ycb_toolbox
plot_accuracy_keyframe.m
5KB
evaluate_poses_keyframe.m
8KB
LICENSE
1KB
tools
eval_ycb.py
9KB
train.py
12KB
eval_linemod.py
6KB
_init_paths.py
52B
assets
compare.png
1.34MB
result_ycb.png
643KB
pullfig.png
888KB
result_linemod.png
319KB
download.sh
2KB
README.md
13KB
vanilla_segmentation
logs
.gitignore
5B
segnet.py
6KB
train.py
5KB
data_controller.py
4KB
loss.py
721B
trained_models
.gitignore
5B
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