Modify demos
shaoniangu
parent
f5805d7fe5
commit
4bd2178838
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<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="0">
|
||||
<caret line="0" column="137" lean-forward="true" selection-start-line="0" selection-start-column="137" selection-end-line="0" selection-end-column="137" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Experiment-all_tricks-tri_center-market.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="200">
|
||||
<caret line="10" column="111" lean-forward="true" selection-start-line="10" selection-start-column="111" selection-end-line="10" selection-end-column="111" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Experiment-all_tricks-without_center-duke.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="0">
|
||||
<caret line="0" column="115" lean-forward="false" selection-start-line="0" selection-start-column="115" selection-end-line="0" selection-end-column="115" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Experiment-all_tricks-without_center-market.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="0">
|
||||
<caret line="0" column="115" lean-forward="false" selection-start-line="0" selection-start-column="115" selection-end-line="0" selection-end-column="115" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Test-all_tricks-without_center-feat_after_bn-cos-duke.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="0">
|
||||
<caret line="0" column="44" lean-forward="false" selection-start-line="0" selection-start-column="44" selection-end-line="0" selection-end-column="44" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Test-all_tricks-without_center-feat_after_bn-cos-market.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="0">
|
||||
<caret line="0" column="13" lean-forward="true" selection-start-line="0" selection-start-column="13" selection-end-line="0" selection-end-column="62" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Test-reranking-all_tricks-tri_center-feat_after_bn-cos-market.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
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|
||||
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|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/Test-reranking-all_tricks-tri_center-feat_after_bn-cos-duke.sh">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="220">
|
||||
<caret line="11" column="211" lean-forward="false" selection-start-line="11" selection-start-column="211" selection-end-line="11" selection-end-column="211" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/engine/trainer.py">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="-1060">
|
||||
<caret line="144" column="129" lean-forward="false" selection-start-line="144" selection-start-column="129" selection-end-line="144" selection-end-column="129" />
|
||||
<folding />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
</component>
|
||||
</project>
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
# Experiment all tricks with center loss : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# with center loss
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('3')" DATASETS.NAMES "('dukemtmc')" OUTPUT_DIR "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005')"
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
# Experiment all tricks with center loss : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# with center loss
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('2')" DATASETS.NAMES "('market1501')" OUTPUT_DIR "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005')"
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
# Experiment 6 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on (=raw all trick, softmax_triplet.yml)
|
||||
# Experiment all tricks without center loss : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
|
|
@ -7,6 +7,5 @@
|
|||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# SOLVER.WARMUP_ITERS 10 MODEL.LAST_STRIDE 1 INPUT.RE_PROB 0.5 MODEL.NECK "('bnneck')"
|
||||
|
||||
# without center loss
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" OUTPUT_DIR "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on')"
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
# Experiment parameters : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on (=raw all trick, softmax_triplet.yml)
|
||||
# Experiment all tricks without center loss : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
|
|
@ -7,5 +7,5 @@
|
|||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
# without center loss
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" OUTPUT_DIR "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 9-4 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('3')" DATASETS.NAMES "('dukemtmc')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" OUTPUT_DIR "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 9-4 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('2')" DATASETS.NAMES "('market1501')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" OUTPUT_DIR "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005')"
|
||||
21
LICENSE
21
LICENSE
|
|
@ -1,21 +0,0 @@
|
|||
MIT License
|
||||
|
||||
Copyright (c) 2019 Hao Luo
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
12
README.md
12
README.md
|
|
@ -1,5 +1,5 @@
|
|||
# ReID Strong Baseline
|
||||
Paper:Bags of Tricks and A Strong Baseline for Deep Person Re-identification.
|
||||
# Bags of Tricks and A Strong ReID Baseline
|
||||
Paper:
|
||||
The codes are expanded on a [ReID-baseline](https://github.com/L1aoXingyu/reid_baseline) , which is open sourced by our co-author Xingyu Liao.
|
||||
|
||||
We support
|
||||
|
|
@ -83,7 +83,7 @@ python3 tools/train.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_
|
|||
|
||||
|
||||
```bash
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('dukemtmc')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" OUTPUT_DIR "('your path to save checkpoints and logs')"
|
||||
python3 tools/train.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('dukemtmc')" OUTPUT_DIR "('your path to save checkpoints and logs')"
|
||||
```
|
||||
|
||||
## Test
|
||||
|
|
@ -92,17 +92,17 @@ You can test your model's performance directly by running these commands in `.sh
|
|||
1. Test with Euclidean distance using feature before BN without re-ranking,.
|
||||
|
||||
```bash
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('market1501')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('before')" TEST.FEAT_NORM "('no')" TEST.WEIGHT "('your path to trained checkpoints')"
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('market1501')" TEST.NECK_FEAT "('before')" TEST.FEAT_NORM "('no')" TEST.WEIGHT "('your path to trained checkpoints')"
|
||||
```
|
||||
2. Test with Cosine distance using feature after BN without re-ranking,.
|
||||
|
||||
```bash
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('market1501')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.WEIGHT "('your path to trained checkpoints')"
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('market1501')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.WEIGHT "('your path to trained checkpoints')"
|
||||
```
|
||||
3. Test with Cosine distance using feature after BN with re-ranking
|
||||
|
||||
```bash
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('dukemtmc')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.RE_RANKING "('yes')" TEST.WEIGHT "('your path to trained checkpoints')"
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('your device id')" DATASETS.NAMES "('dukemtmc')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.RE_RANKING "('yes')" TEST.WEIGHT "('your path to trained checkpoints')"
|
||||
```
|
||||
|
||||
## Results
|
||||
|
|
|
|||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 6 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on (=raw all trick, softmax_triplet.yml)
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on/resnet50_model_120.pth')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 6 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on (=raw all trick, softmax_triplet.yml)
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on/resnet50_model_120.pth')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 9-4 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# Experiment all tricks without center loss without re-ranking: 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# with center loss
|
||||
# without re-ranking
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# Experiment all tricks without center loss : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# with center loss
|
||||
# without re-ranking
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# Experiment all tricks without center loss without re-ranking: 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# without center loss
|
||||
# without re-ranking
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on/resnet50_model_120.pth')"
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# Experiment all tricks without center loss without re-ranking: 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on (=raw all trick, softmax_triplet.yml)
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# without center loss
|
||||
# without re-ranking
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on/resnet50_model_120.pth')"
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# Experiment all tricks without center loss with re-ranking : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# with center loss
|
||||
# with re-ranking
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" TEST.RE_RANKING "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# Experiment all tricks without center loss with re-ranking : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
# with center loss
|
||||
# with re-ranking
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet_with_center.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" TEST.RE_RANKING "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 9-4 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 9-4 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 1: market1501
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('0')" DATASETS.NAMES "('market1501')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.RE_RANKING "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
# Experiment 9-4 : 256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005
|
||||
# Dataset 2: dukemtmc
|
||||
# imagesize: 256x128
|
||||
# batchsize: 16x4
|
||||
# warmup_step 10
|
||||
# random erase prob 0.5
|
||||
# labelsmooth: on
|
||||
# last stride 1
|
||||
# bnneck on
|
||||
|
||||
python3 tools/test.py --config_file='configs/softmax_triplet.yml' MODEL.DEVICE_ID "('1')" DATASETS.NAMES "('dukemtmc')" MODEL.IF_WITH_CENTER "('yes')" MODEL.METRIC_LOSS_TYPE "('triplet_center')" TEST.NECK_FEAT "('after')" TEST.FEAT_NORM "('yes')" TEST.RE_RANKING "('yes')" TEST.WEIGHT "('/home/haoluo/log/gu/reid_baseline_review/Opensource_test/dukemtmc/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005/resnet50_model_120.pth')"
|
||||
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|
|
@ -0,0 +1,66 @@
|
|||
MODEL:
|
||||
PRETRAIN_PATH: '/home/haoluo/.torch/models/resnet50-19c8e357.pth'
|
||||
METRIC_LOSS_TYPE: 'triplet_center'
|
||||
IF_LABELSMOOTH: 'on'
|
||||
IF_WITH_CENTER: 'yes'
|
||||
|
||||
|
||||
|
||||
|
||||
INPUT:
|
||||
SIZE_TRAIN: [256, 128]
|
||||
SIZE_TEST: [256, 128]
|
||||
PROB: 0.5 # random horizontal flip
|
||||
RE_PROB: 0.5 # random erasing
|
||||
PADDING: 10
|
||||
|
||||
DATASETS:
|
||||
NAMES: ('market1501')
|
||||
|
||||
DATALOADER:
|
||||
SAMPLER: 'softmax_triplet'
|
||||
NUM_INSTANCE: 4
|
||||
NUM_WORKERS: 8
|
||||
|
||||
SOLVER:
|
||||
OPTIMIZER_NAME: 'Adam'
|
||||
MAX_EPOCHS: 120
|
||||
BASE_LR: 0.00035
|
||||
|
||||
CLUSTER_MARGIN: 0.3
|
||||
|
||||
CENTER_LR: 0.5
|
||||
CENTER_LOSS_WEIGHT: 0.0005
|
||||
|
||||
RANGE_K: 2
|
||||
RANGE_MARGIN: 0.3
|
||||
RANGE_ALPHA: 0
|
||||
RANGE_BETA: 1
|
||||
RANGE_LOSS_WEIGHT: 1
|
||||
|
||||
BIAS_LR_FACTOR: 1
|
||||
WEIGHT_DECAY: 0.0005
|
||||
WEIGHT_DECAY_BIAS: 0.0005
|
||||
IMS_PER_BATCH: 64
|
||||
|
||||
STEPS: [40, 70]
|
||||
GAMMA: 0.1
|
||||
|
||||
WARMUP_FACTOR: 0.01
|
||||
WARMUP_ITERS: 10
|
||||
WARMUP_METHOD: 'linear'
|
||||
|
||||
CHECKPOINT_PERIOD: 40
|
||||
LOG_PERIOD: 20
|
||||
EVAL_PERIOD: 40
|
||||
|
||||
TEST:
|
||||
IMS_PER_BATCH: 128
|
||||
RE_RANKING: 'no'
|
||||
WEIGHT: "path"
|
||||
NECK_FEAT: 'after'
|
||||
FEAT_NORM: 'yes'
|
||||
|
||||
OUTPUT_DIR: "/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-tri_center-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on-triplet_centerloss0_0005"
|
||||
|
||||
|
||||
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Reference in New Issue