fix

open-mmlab · May 31, 2021 · ac9cf82 · ac9cf82
1 parent 020540b
commit ac9cf82
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Showing 5 changed files with 10 additions and 10 deletions.
diff --git a/configs/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py b/configs/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py
@@ -81,7 +81,7 @@
 
 train_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='RandomRescale', scale_range=(256, 320)),
     dict(type='RandomCrop', size=256),
     dict(type='Flip', flip_ratio=0.5),
@@ -102,7 +102,7 @@
 # The testing is w/o. any cropping / flipping
 val_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='Resize', scale=(-1, 256)),
     dict(type='Normalize', **img_norm_cfg),
     dict(type='FormatShape', input_format='NCTHW', collapse=True),

diff --git a/configs/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava_rgb.py b/configs/detection/acrn/slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava_rgb.py
@@ -81,7 +81,7 @@
 
 train_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='RandomRescale', scale_range=(256, 320)),
     dict(type='RandomCrop', size=256),
     dict(type='Flip', flip_ratio=0.5),
@@ -102,7 +102,7 @@
 # The testing is w/o. any cropping / flipping
 val_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='Resize', scale=(-1, 256)),
     dict(type='Normalize', **img_norm_cfg),
     dict(type='FormatShape', input_format='NCTHW', collapse=True),

diff --git a/configs/detection/ava/slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py b/configs/detection/ava/slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py
@@ -79,7 +79,7 @@
 
 train_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='RandomRescale', scale_range=(256, 320)),
     dict(type='RandomCrop', size=256),
     dict(type='Flip', flip_ratio=0.5),
@@ -100,7 +100,7 @@
 # The testing is w/o. any cropping / flipping
 val_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='Resize', scale=(-1, 256)),
     dict(type='Normalize', **img_norm_cfg),
     dict(type='FormatShape', input_format='NCTHW', collapse=True),

diff --git a/...st_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py b/...st_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py
@@ -80,7 +80,7 @@
 
 train_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='RandomRescale', scale_range=(256, 320)),
     dict(type='RandomCrop', size=256),
     dict(type='Flip', flip_ratio=0.5),
@@ -101,7 +101,7 @@
 # The testing is w/o. any cropping / flipping
 val_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='Resize', scale=(-1, 256)),
     dict(type='Normalize', **img_norm_cfg),
     dict(type='FormatShape', input_format='NCTHW', collapse=True),

diff --git a/...detection/ava/slowfast_temporal_max_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py b/...detection/ava/slowfast_temporal_max_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb.py
@@ -80,7 +80,7 @@
 
 train_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='RandomRescale', scale_range=(256, 320)),
     dict(type='RandomCrop', size=256),
     dict(type='Flip', flip_ratio=0.5),
@@ -101,7 +101,7 @@
 # The testing is w/o. any cropping / flipping
 val_pipeline = [
     dict(type='SampleAVAFrames', clip_len=32, frame_interval=2),
-    dict(type='RawFrameDecode', ),
+    dict(type='RawFrameDecode'),
     dict(type='Resize', scale=(-1, 256)),
     dict(type='Normalize', **img_norm_cfg),
     dict(type='FormatShape', input_format='NCTHW', collapse=True),