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config.py
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config.py
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class video_pixel_network_config:
input_shape = [64, 64, 1]
# RMB config
rmb_c = 128
# Encoder config
encoder_rmb_num = 8
encoder_rmb_dilation = False
encoder_rmb_dilation_scheme = [1, 2, 4, 8]
# Decoder config
decoder_rmb_num = 12
# ConvLSTM config
conv_lstm_filters = 256
# Training config
epochs_num = 50000
iters_per_epoch = 450
truncated_steps = 9
learning_rate = 3 * 1e-4
# Data config
train_sequences_num = 7000
# tensorflow config
max_to_keep = 3
test_every = 100
class mini_video_pixel_network_config:
input_shape = [64, 64, 1]
# RMB config
rmb_c = 32
# Encoder config
encoder_rmb_num = 4
encoder_rmb_dilation = False
encoder_rmb_dilation_scheme = [1, 2, 4, 8]
# Decoder config
decoder_rmb_num = 6
# ConvLSTM config
conv_lstm_filters = 64
# Training config
epochs_num = 50000
iters_per_epoch = 450
truncated_steps = 9
learning_rate = 3 * 1e-4
# Data config
train_sequences_num = 7000
# tensorflow config
max_to_keep = 3
test_every = 100
class micro_video_pixel_network_config:
input_shape = [64, 64, 1]
# RMB config
rmb_c = 32
# Encoder config
encoder_rmb_num = 2
encoder_rmb_dilation = False
encoder_rmb_dilation_scheme = [1, 2, 4, 8]
# Decoder config
decoder_rmb_num = 3
# ConvLSTM config
conv_lstm_filters = 64
# Training config
epochs_num = 50000
iters_per_epoch = 450
truncated_steps = 9
learning_rate = 3 * 1e-4
# Data config
train_sequences_num = 7000
# tensorflow config
max_to_keep = 3
test_every = 100