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体验新版 GitCode,发现更多精彩内容 >>
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6b7f9dbb
编写于
6月 22, 2020
作者:
L
lixuanyi
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Signed-off-by:
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lixuanyi
<
lixuanyi@sensetime.com
>
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-19
configs/localization/bmn/README.md
configs/localization/bmn/README.md
+3
-2
configs/localization/bsn/README.md
configs/localization/bsn/README.md
+10
-9
configs/recognition/r2plus1d/README.md
configs/recognition/r2plus1d/README.md
+5
-4
configs/recognition/slowfast/README.md
configs/recognition/slowfast/README.md
+5
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configs/localization/bmn/README.md
浏览文件 @
6b7f9dbb
# BMN
|config | pretrain | AR@100| AUC | gpu_mem(M) | iter time(s) | ckpt | log|
|-|-|-|-|-|-|- | -|
|bmn_400x100_9e_2x8_activitynet_feature | None |75.28|67.22|5420|3.27|
[
ckpt
](
)|
[
log
]
()|
...
...
@@ -23,7 +24,7 @@ You can use the following command to train a model.
python tools/train.py ${CONFIG_FILE} [optional arguments]
# Example: train BMN on ActivityNet features dataset
python tools/train.py config/localization/bmn/bmn_400x100_2x8_9e_activitynet_feature.py
python tools/train.py config
s
/localization/bmn/bmn_400x100_2x8_9e_activitynet_feature.py
```
## Test
...
...
@@ -33,5 +34,5 @@ python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [optional arguments]
# Example: test BMN on ActivityNet feature dataset
# Note: If evaluated, then please make sure the annotation file for test data contains groundtruth.
python tools/test.py config/localization/bmn/bmn_400x100_2x8_9e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth --eval AR@AN --out results.json
python tools/test.py config
s
/localization/bmn/bmn_400x100_2x8_9e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth --eval AR@AN --out results.json
```
configs/localization/bsn/README.md
浏览文件 @
6b7f9dbb
# BSN
|config | pretrain | AR@100| AUC | gpu_mem(M) | iter time(s) | ckpt | log|
|-|-|-|-|-|-|- | -|
|bsn_400x100_1x16_20e_activitynet_feature | None |74.
91|66.31
|41(TEM)+25(PEM)|0.074(TEM)+0.036(PEM)|
[
ckpt_tem
](
)
[
ckpt_pem
]
|
[
log_tem
](
)
[
log_pem
]
()|
|bsn_400x100_1x16_20e_activitynet_feature | None |74.
65|66.45
|41(TEM)+25(PEM)|0.074(TEM)+0.036(PEM)|
[
ckpt_tem
](
)
[
ckpt_pem
]
|
[
log_tem
](
)
[
log_pem
]
()|
## Preparation
### Data
...
...
@@ -24,29 +25,29 @@ You can use the following commands to train a model.
# TEM Train
python tools/train.py ${CONFIG_FILE} [optional arguments]
# Example: train BSN(TEM) on ActivityNet features dataset
python tools/train.py config/localization/bsn/bsn_400x100_1x16_20e_activitynet_feature.py
python tools/train.py config
s
/localization/bsn/bsn_400x100_1x16_20e_activitynet_feature.py
# TEM Inference
# Note: This could not be evaluated.
python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [optional arguments]
# Example: Inference BSN(TEM) with trained model.
python tools/test.py config/localization/bsn/bsn_tem_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth
python tools/test.py config
s
/localization/bsn/bsn_tem_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth
# PGM
python tools/bsn_proposal_generation.py ${CONFIG_FILE} [--mode ${MODE}]
# Example: Inference BSN(PGM)
python tools/bsn_proposal_generation.py config/localization/bsn/bsn_pgm_400x100_activitynet_feature.py --mode train
python tools/bsn_proposal_generation.py config
s
/localization/bsn/bsn_pgm_400x100_activitynet_feature.py --mode train
# PEM Train
python tools/train.py ${CONFIG_FILE} [optional arguments]
# Example: train BSN(PEM) on PGM results.
python tools/train.py config/localization/bsn/bsn_pem_400x100_1x16_20e_activitynet_feature.py
python tools/train.py config
s
/localization/bsn/bsn_pem_400x100_1x16_20e_activitynet_feature.py
# PEM Inference
python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [optional arguments]
# Example: Inference BSN(PEM) with evaluation metric 'AR@AN' and output the results.
# Note: If evaluated, then please make sure the annotation file for test data contains groundtruth.
python tools/test.py config/localization/bsn/bsn_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth --eval AR@AN --out results.json
python tools/test.py config
s
/localization/bsn/bsn_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth --eval AR@AN --out results.json
```
## Test
...
...
@@ -55,16 +56,16 @@ python tools/test.py config/localization/bsn/bsn_400x100_1x16_20e_activitynet_fe
# Note: This could not be evaluated.
python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [optional arguments]
# Example: Test a TEM model on ActivityNet dataset.
python tools/test.py config/localization/bsn/bsn_tem_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth
python tools/test.py config
s
/localization/bsn/bsn_tem_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth
# PGM
python tools/bsn_proposal_generation.py ${CONFIG_FILE} [--mode ${MODE}]
# Example:
python tools/bsn_proposal_generation.py config/localization/bsn/bsn_pgm_400x100_activitynet_feature.py --mode test
python tools/bsn_proposal_generation.py config
s
/localization/bsn/bsn_pgm_400x100_activitynet_feature.py --mode test
# PEM
python tools/test.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [optional arguments]
# Example: Test a PEM model with with evaluation metric 'AR@AN' and output the results.
# Note: If evaluated, then please make sure the annotation file for test data contains groundtruth.
python tools/test.py config/localization/bsn/bsn_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth --eval AR@AN --out results.json
python tools/test.py config
s
/localization/bsn/bsn_400x100_1x16_20e_activitynet_feature.py checkpoints/SOME_CHECKPOINT.pth --eval AR@AN --out results.json
```
configs/recognition/r2plus1d/README.md
浏览文件 @
6b7f9dbb
# R2plus1D
config | pretrain | top1 acc| top5 acc | gpu_mem(M) | iter time(s) | ckpt | log
-|-|-|-|-|-|- | -
r2plus1d_r34_3d_8x8x1_180e_kinetics400_rgb | None |68.68|88.36|5014|0.68|
[
ckpt
](
)|
[
log
]
()
r2plus1d_r34_3d_32x2x1__180e_kinetics400_rgb|None|74.60|91.59|9003|1.23|
[
ckpt
](
)
|
[
log
](
)
|config | pretrain | top1 acc| top5 acc | gpu_mem(M) | iter time(s) | ckpt | log|
|-|-|-|-|-|-|- | -|
|r2plus1d_r34_3d_8x8x1_180e_kinetics400_rgb | None |68.68|88.36|5014|0.68|
[
ckpt
](
)|
[
log
]
()|
|r2plus1d_r34_3d_32x2x1__180e_kinetics400_rgb|None|74.60|91.59|9003|1.23|
[
ckpt
](
)
|
[
log
](
)|
configs/recognition/slowfast/README.md
浏览文件 @
6b7f9dbb
# Slowfast
config | pretrain | top1 acc| top5 acc | gpu_mem(M) | iter time(s) | ckpt | log
-|-|-|-|-|-|- | -
slowfast_r50_3d_4x16x1_256e_kinetics400_rgb | None |75.3|92.2|6250|0.826|
[
ckpt
](
)|
[
log
]
()
slowfast_r50_3d_8x8x1_256e_kinetics400_rgb|None|76.36|92.56|9159|1.032|
[
ckpt
](
)
|
[
log
](
)
|config | pretrain | top1 acc| top5 acc | gpu_mem(M) | iter time(s) | ckpt | log|
|-|-|-|-|-|-|- | -|
|slowfast_r50_3d_4x16x1_256e_kinetics400_rgb | None |75.3|92.2|6250|0.826|
[
ckpt
](
)|
[
log
]
()|
|slowfast_r50_3d_8x8x1_256e_kinetics400_rgb|None|76.36|92.56|9159|1.032|
[
ckpt
](
)
|
[
log
](
)|
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