Python-2019Google地标检索比赛第一名第三名方案

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The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.

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( 91 个子文件 381KB ) Python-2019Google地标检索比赛第一名第三名方案
Landmark2019-1st-and-3rd-Place-Solution-master
docker
Dockerfile.cuda92 1.79KB
Dockerfile 1.80KB
experiments
matching_localfeatures.py 11.79KB
v19c.py 17.63KB
v22c.py 17.56KB
v21.py 15.91KB
extract_delf_features.py 5.53KB
v19.py 15.99KB
v21c.py 17.62KB
v20c.py 17.61KB
submit_retrieval.py 6.71KB
v7c.py 18.82KB
v20.py 16.59KB
v1only.py 15.93KB
v1only_r50.py 15.67KB
v22.py 17.45KB
delf
pretrained
delf_config_example.pbtxt 831B
v7.py 15.22KB
submit_recognition.py 5.03KB
v23.py 15.85KB
v23c.py 17.45KB
v2noisy.py 17.79KB
v2clean.py 19.15KB
v24.py 16.59KB
cleaning_train2019.py 1.99KB
v24c.py 17.37KB
output
.gitkeep 0B
src
data_utils.py 13.04KB
FishNet
logs
README.md 22B
utils
profile.py 3.32KB
__init__.py 23B
data_aug.py 577B
checkpoints
README.md 22B
models
fish_block.py 2.06KB
fishnet.py 9.08KB
net_factory.py 1.92KB
__init__.py 60B
fix_checkpoint.py 3.99KB
main.py 12.65KB
cfgs
fishnet99.yaml 220B
fishnet150.yaml 223B
README.md 3.52KB
head_pic.jpg 240.49KB
eval_retrieval.py 5.71KB
modeling
batch_norm.py 3.68KB
resnet_csail.py 8.65KB
models.py 6.25KB
metric_learning.py 14.91KB
pooling.py 5.16KB
utils.py 11.38KB
reranking.py 11.45KB
torch_custom.py 15.89KB
metrics.py 2.50KB
autoaugment.py 11.29KB
downloader.py 4.23KB
debug.py 679B
qsub.py 2.87KB
scripts
check_size.sh 285B
reproduce.sh 2.47KB
prepare_cleaned_subset.sh 717B
setup.sh 3.47KB
download_train.sh 590B
cirtorch
layers
loss.py 1.65KB
__init__.py 0B
normalization.py 767B
pooling.py 7.78KB
functional.py 4.59KB
utils
whiten.py 1.63KB
download.py 7.45KB
general.py 895B
__init__.py 0B
evaluate.py 4.93KB
__init__.py 291B
examples
train.py 22.12KB
test.py 10.22KB
__init__.py 0B
download_test.py 179B
datasets
traindataset.py 10.43KB
datahelpers.py 1.54KB
__init__.py 0B
genericdataset.py 3.54KB
testdataset.py 1.03KB
networks
__init__.py 0B
imageretrievalnet.py 15.06KB
retrieval_paper_memo.md 36.38KB
input
.gitkeep 0B
LICENSE 11.09KB
README.md 4.80KB
tests
test_modeling.py 530B
.gitignore 1.17KB
benchmark.md 10.25KB
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