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GitHub / ASGuard-UCI / ld-metric

Code for the paper entitled "Towards Driving-Oriented Metric for Lane Detection Models" (CVPR 2022)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ASGuard-UCI%2Fld-metric

Stars: 24
Forks: 4
Open Issues: 1

License: mit
Language: Python
Repo Size: 20.9 MB
Dependencies: 74

Created: about 2 years ago
Updated: 7 months ago
Last pushed: about 2 years ago
Last synced: 3 months ago

Files

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Dependencies

LaneATT/requirements.txt pypi

PyYAML ==5.3.1
Shapely ==1.7.0
gdown ==3.12.2
imgaug ==0.4.0
lxml ==4.5.0
matplotlib ==3.1.3
opencv_python ==4.2.0.32
p_tqdm ==1.3.3
scikit_learn ==0.23.2
scipy ==1.4.1
tensorboard ==2.3.0
thop ==0.0.31.post2005241907
tqdm ==4.43.0
ujson ==1.35
xmljson ==0.2.0

PolyLaneNet/requirements.txt pypi

PyYAML ==5.3.1
efficientnet_pytorch ==0.6.3
imgaug ==0.4.0
lxml ==4.6.2
matplotlib ==3.1.3
numpy ==1.18.1
opencv_python ==4.2.0.32
progressbar33 ==2.4
scikit-learn ==0.21.3
scipy ==1.4.1
tabulate ==0.8.6
torch ==1.4.0
torchvision ==0.5.0
tqdm ==4.43.0
ujson ==1.35
xmljson ==0.2.0

Ultra-Fast-Lane-Detection/requirements.txt pypi

data/tools/requirements.txt pypi

aenum *
atomicwrites *
av ==0.5.0
futures *
hexdump ==3.3
libarchive *
lru-dict *
matplotlib ==2.0.2
numpy ==1.14.5
opencv-python ==3.4.0.12
pygame ==1.9.3

requirements.txt pypi

PyYAML ==5.3.1
Shapely ==1.7.0
aenum ==3.1.8
cffi ==1.14.5
crcmod ==1.7.0
efficientnet-pytorch ==0.6.3
gdown ==3.12.2
imgaug ==0.4.0
lxml ==4.5.0
matplotlib ==3.1.3
p_tqdm ==1.3.3
pandas *
pycapnp ==1.0.0
pymap3d ==2.7.2
pyzmq ==22.0.3
scikit_learn ==0.23.2
scipy ==1.4.1
tensorboard ==2.3.0
thop ==0.0.31.post2005241907
tqdm ==4.43.0
ujson ==1.35
xmljson ==0.2.0

scnn/requirements.txt pypi