CONTA:NeurIPS口头论文的实施资源-CSDN文库

共70个文件

py：46个

txt：7个

yaml：3个

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package

CONTA-master.zip （70个子文件）

folder

CONTA-master

requirements.txt 204B

folder

segmentation

.gitignore 1KB

folder

data

.gitignore 51B

folder

datasets

folder

coco

labels.txt 965B

folder

voc12

README.md 2KB

labels.txt 202B

folder

models

folder

voc12

folder

deeplabv2_resnet101_msc

folder

caffemodel

.gitkeep 0B

folder

tools

convert.py 9KB

sublayers.py 8KB

demo.py 7KB

CRF.py 1KB

vis_preds.py 2KB

m_t.py 2KB

folder

libs

folder

datasets

__init__.py 124B

base.py 3KB

voc.py 5KB

folder

models

deeplabv1.py 1KB

deeplabv3plus.py 3KB

__init__.py 3KB

deeplabv3.py 3KB

deeplabv2.py 2KB

msc.py 1KB

resnet.py 4KB

folder

utils

__init__.py 131B

lr_scheduler.py 805B

crf.py 990B

metric.py 1KB

caffe.proto 58KB

caffe_pb2.py 344KB

folder

scripts

setup_voc12.sh 261B

train_eval.sh 1KB

folder

configs

voc12.yaml 985B

coco.yaml 832B

conda_env.yaml 322B

main.py 14KB

LICENSE 1KB

README.md 5KB

folder

pseudo_mask

folder

step

eval_sem_seg.py 1KB

make_sem_seg_labels.py 3KB

make_cocoann.py 2KB

cam_to_ir_label.py 2KB

make_ins_seg_labels.py 6KB

eval_cam.py 1KB

eval_ins_seg.py 920B

train_cam.py 3KB

train_irn.py 5KB

make_cam.py 3KB

folder

tools

utils.py 29KB

loss.py 3KB

dilated_fcn.py 1KB

CRF.py 1KB

folder

net

resnet50_irn.py 8KB

resnet50_cam.py 2KB

resnet50.py 4KB

folder

misc

imutils.py 8KB

pyutils.py 3KB

torchutils.py 2KB

indexing.py 6KB

folder

pre_trained

resnet50-19c8e357.pth 97.75MB

folder

voc12

train_aug.txt 124KB

test.txt 17KB

dataloader.py 9KB

make_cls_labels.py 1007B

train.txt 17KB

val.txt 17KB

cls_labels.npy 2.32MB

run_sample.py 5KB

folder

docker

Dockerfile 2KB

build_push_docker.sh 280B

Dockerfile_cluster 1KB

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BetterRose

2022-11-15

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