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huangjun12huangjun12
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Merge pull request #276 from HydrogenSulfate/dev_tipc_data
Update TIPC's data prepare
2 parents dc6df2a + 8608b84 commit 7ae1699

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-2234
lines changed

‎configs/recognition/slowfast/slowfast.yaml

+52-52
Original file line numberDiff line numberDiff line change
@@ -39,67 +39,67 @@ DATASET: #DATASET field
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PIPELINE:
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train:
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decode_sampler:
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name: "DecodeSampler"
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num_frames: 32
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sampling_rate: 2
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name: "DecodeSampler"
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num_frames: 32
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sampling_rate: 2
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transform: #Mandotary, image transfrom operator
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- JitterScale:
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min_size: 256
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max_size: 320
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- MultiCrop:
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target_size: 224
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- RandomFlip:
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- Image2Array:
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transpose: False
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- Normalization:
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mean: [0.45, 0.45, 0.45]
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std: [0.225, 0.225, 0.225]
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tensor_shape: [1, 1, 1, 3]
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- PackOutput:
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alpha: 8
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- JitterScale:
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min_size: 256
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max_size: 320
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- MultiCrop:
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target_size: 224
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- RandomFlip:
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- Image2Array:
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transpose: False
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- Normalization:
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mean: [0.45, 0.45, 0.45]
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std: [0.225, 0.225, 0.225]
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tensor_shape: [1, 1, 1, 3]
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- PackOutput:
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alpha: 8
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valid:
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decode_sampler:
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name: "DecodeSampler"
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num_frames: 32
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sampling_rate: 2
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name: "DecodeSampler"
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num_frames: 32
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sampling_rate: 2
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transform: #Mandotary, image transfrom operator
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- JitterScale:
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min_size: 256
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max_size: 320
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- MultiCrop:
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target_size: 224
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- RandomFlip:
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- Image2Array:
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transpose: False
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- Normalization:
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mean: [0.45, 0.45, 0.45]
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std: [0.225, 0.225, 0.225]
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tensor_shape: [1, 1, 1, 3]
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- PackOutput:
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alpha: 8
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- JitterScale:
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min_size: 256
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max_size: 320
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- MultiCrop:
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target_size: 224
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- RandomFlip:
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- Image2Array:
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transpose: False
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- Normalization:
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mean: [0.45, 0.45, 0.45]
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std: [0.225, 0.225, 0.225]
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tensor_shape: [1, 1, 1, 3]
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- PackOutput:
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alpha: 8
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test:
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decode_sampler:
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name: "DecodeSampler"
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num_frames: 32
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sampling_rate: 2
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test_mode: True
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transform: #Mandotary, image transfrom operator
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- JitterScale:
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min_size: 256
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max_size: 256
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- MultiCrop:
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target_size: 256
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name: "DecodeSampler"
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num_frames: 32
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sampling_rate: 2
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test_mode: True
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- Image2Array:
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transpose: False
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- Normalization:
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mean: [0.45, 0.45, 0.45]
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std: [0.225, 0.225, 0.225]
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tensor_shape: [1, 1, 1, 3]
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- PackOutput:
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alpha: 8
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transform: #Mandotary, image transfrom operator
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- JitterScale:
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min_size: 256
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max_size: 256
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- MultiCrop:
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target_size: 256
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test_mode: True
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- Image2Array:
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transpose: False
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- Normalization:
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mean: [0.45, 0.45, 0.45]
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std: [0.225, 0.225, 0.225]
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tensor_shape: [1, 1, 1, 3]
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- PackOutput:
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alpha: 8
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OPTIMIZER: #OPTIMIZER field
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name: 'Momentum'

‎configs/recognition/timesformer/timesformer_k400_videos.yaml

+3
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@@ -26,12 +26,15 @@ DATASET: #DATASET field
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test_batch_size: 8
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train:
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format: "VideoDataset" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset'
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data_prefix: "data/k400/videos" #Mandatory, train data root path
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file_path: "data/k400/train.list" #Mandatory, train data index file path
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valid:
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format: "VideoDataset" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset'
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data_prefix: "data/k400/videos" #Mandatory, train data root path
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file_path: "data/k400/val.list" #Mandatory, valid data index file path
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test:
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format: "VideoDataset" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset'
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data_prefix: "data/k400/videos" #Mandatory, train data root path
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file_path: "data/k400/val.list" #Mandatory, valid data index file path
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PIPELINE: #PIPELINE field TODO.....

‎data/k400/download_k400_data.sh

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@@ -0,0 +1,9 @@
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file=$1
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while read line
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do
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wget "$line"
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array=(${line//// })
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file_name=${array[-1]}
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cmd=`tar -xzvf ${file_name} --strip-components 1 -C ./videos`
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eval $cmd
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done <$file

‎data/k400/train_small_frames.list

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