Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Improve] Use metric_dict to replace hardcode arg in evaluate #286

Merged
merged 11 commits into from
Oct 31, 2020
Merged

[Improve] Use metric_dict to replace hardcode arg in evaluate #286

Show file tree
Hide file tree
Changes from 6 commits
Commits
Show all changes
11 commits
Select commit Hold shift + click to select a range
80838bd
use metric_dict to replace hardcode arg
dreamerlin Oct 27, 2020
153aedf
polish docstring
dreamerlin Oct 27, 2020
544d557
update changelog
dreamerlin Oct 27, 2020
b0bb464
resolve conflict
dreamerlin Oct 30, 2020
e1f4ffe
add mean_average_precision in base
dreamerlin Oct 30, 2020
77b2bb9
move all to base
dreamerlin Oct 30, 2020
2bf0268
fix typo
dreamerlin Oct 31, 2020
93d8a90
add metric key in default dict
dreamerlin Oct 31, 2020
7b99818
use setdefault and update docstring
dreamerlin Oct 31, 2020
f3c18a8
polish docstring
dreamerlin Oct 31, 2020
c1fcabf
add deprecated kwargs
dreamerlin Oct 31, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion configs/recognition/c3d/c3d_sports1m_16x1x1_45e_ucf101_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -102,7 +102,7 @@
total_epochs = 45
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@
total_epochs = 58
checkpoint_config = dict(interval=2)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[dict(type='TextLoggerHook'),
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@
total_epochs = 58
checkpoint_config = dict(interval=2)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[dict(type='TextLoggerHook'),
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -106,7 +106,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -106,7 +106,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_r50_heavy_8x8x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_r50_lazy_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20, hooks=[
dict(type='TextLoggerHook'),
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/i3d/i3d_r50_video_heavy_8x8x1_100e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 100
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/r2plus1d/r2plus1d_r34_32x2x1_180e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@
total_epochs = 180
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/r2plus1d/r2plus1d_r34_8x8x1_180e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,7 @@
total_epochs = 180
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/r2plus1d/r2plus1d_r34_video_8x8x1_180e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@
total_epochs = 180
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowfast/slowfast_r50_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -121,7 +121,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowfast/slowfast_r50_8x8x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowfast/slowfast_r50_video_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -124,7 +124,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion ...lowonly/data_benchmark/slowonly_r50_randomresizedcrop_256p_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion ...lowonly/data_benchmark/slowonly_r50_randomresizedcrop_320p_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion ...only/data_benchmark/slowonly_r50_randomresizedcrop_340x256_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_4x16x1_150e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_imagenet_pretrained_r50_8x8x1_150e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r101_8x8x1_196e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -105,7 +105,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20, hooks=[
dict(type='TextLoggerHook'),
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_flow.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_flow.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_8x8x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_video_4x16x1_256e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -102,7 +102,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics600_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/slowonly/slowonly_r50_video_8x8x1_256e_kinetics700_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
checkpoint_config = dict(interval=4)
workflow = [('train', 1)]
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tin/tin_r50_1x1x8_40e_sthv1_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -115,7 +115,7 @@
total_epochs = 40
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tin/tin_r50_1x1x8_40e_sthv2_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -115,7 +115,7 @@
total_epochs = 40
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tin/tin_tsm_finetune_r50_1x1x8_50e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tpn/tpn_imagenet_pretrained_slowonly_r50_8x8x1_150e_kinetics_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@
total_epochs = 150
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tpn/tpn_slowonly_r50_8x8x1_150e_kinetics_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@
total_epochs = 150
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tpn/tpn_tsm_r50_1x1x8_150e_sthv1_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 150
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_nl_dot_product_r50_1x1x8_50e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_r101_1x1x8_50e_sthv1_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -110,7 +110,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -107,7 +107,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_r50_1x1x16_50e_kinetics400_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 50
checkpoint_config = dict(interval=5)
evaluation = dict(
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
2 changes: 1 addition & 1 deletion configs/recognition/tsm/tsm_r50_1x1x16_50e_sthv1_rgb.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@
total_epochs = 50
checkpoint_config = dict(interval=1)
evaluation = dict(
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5))
interval=2, metrics=['top_k_accuracy', 'mean_class_accuracy'])
log_config = dict(
interval=20,
hooks=[
Expand Down
Loading