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settings.py
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import os
def add_config(configs, name, config, base_config=None):
new_config = dict()
if base_config:
new_config.update(base_config)
new_config.update(config)
new_config.update(tasks[new_config['task']])
configs[name] = new_config
configs = {}
FRAMES_PER_VIDEO = 90
UCF_DATA_DIR = '../../datasets/ucf_data/'
configs['moments__features'] = {
'description': 'Extract features from Moments in Time dataset',
'input_shape': (160, 160, 3),
'batch_size': 10,
'sample_step': 3,
'task': '10c',
'model_type': 'vgg_imagenet',
'base_results_dir': './results',
'training_data_dir': '../../datasets/moments_video_frames/training',
'validation_data_dir': '../../datasets/moments_video_frames/validation'
}
configs['ucf__features'] = {
'description': 'Extract features from UCF-101 dataset',
'input_shape': (160, 160, 3),
'batch_size': 10,
'sample_step': 3,
'task': 'full',
'model_type': 'vgg_imagenet',
'base_results_dir': './results',
'training_data_dir': os.path.join(UCF_DATA_DIR, 'train_01'),
'validation_data_dir': os.path.join(UCF_DATA_DIR, 'test_01'),
}
configs['moments_audio__features'] = {
'description': 'Extract features from Moments in Time dataset',
'input_shape': (160, 160, 3),
'batch_size': 10,
'sample_step': 1,
'task': '10c',
'model_type': 'vgg_imagenet',
'base_results_dir': './results',
'training_data_dir': '../../datasets/moments_audio_frames/training',
'validation_data_dir': '../../datasets/moments_audio_frames/validation'
}
tasks = {
'2c_easy': {
'classes': ['cooking', 'walking']
},
'2c_hard': {
'classes': ['running', 'walking']
},
'5c_hard': {
'classes': ['biting', 'climbing', 'running', 'sleeping', 'walking']
},
'10c': {
'classes': ['barking', 'cooking', 'driving', 'juggling', 'photographing',
'biting', 'climbing', 'running', 'sleeping', 'walking']
},
'full': {
'classes': None
}
}
VGG_FEATURES_PER_VIDEO = 30
vgg_base_config = {
'epochs': 100,
'stopping_patience': 50,
'batch_size': 10,
'shuffle': True,
'dropout': 0.9,
#'workers': 4,
#'use_multiprocessing': True,
'task': '2c_easy',
'model_type': 'lstm',
'hidden_dims': [64],
'training_index_start': 0.6,
'training_max_per_class': 0.2,
'test_index_start': 0.8,
'test_max_per_class': 0.2,
'base_results_dir': './results',
'training_data_dir': './results/vgg__imagenet__moments__features__10c/training',
'validation_data_dir': './results/vgg__imagenet__moments__features__10c/validation',
'test_data_dir': './results/vgg__imagenet__moments__features__10c/training',
}
VGG_SAMPLE_STEP = 2
FRAME_SAMPLE_STEP = 6
add_config(configs, 'moments__vgg_imagenet',
{ 'description': 'A classifier using VGG features',
'seq_length': VGG_FEATURES_PER_VIDEO/VGG_SAMPLE_STEP,
'min_seq_length': VGG_FEATURES_PER_VIDEO/VGG_SAMPLE_STEP,
'sample_step': VGG_SAMPLE_STEP }, vgg_base_config)
add_config(configs, 'moments_audio__vgg_imagenet',
{ 'description': 'A classifier using VGG audio features',
'seq_length': VGG_FEATURES_PER_VIDEO/VGG_SAMPLE_STEP,
'min_seq_length': VGG_FEATURES_PER_VIDEO/VGG_SAMPLE_STEP,
'sample_step': VGG_SAMPLE_STEP,
'training_data_dir': './results/vgg_imagenet__moments_audio__features__10c/training',
'validation_data_dir': './results/vgg_imagenet__moments_audio__features__10c/validation',
'test_data_dir': './results/vgg_imagenet__moments_audio__features__10c/training'
}, vgg_base_config)
add_config(configs, 'moments__vgg_random',
{ 'description': 'A classifier using VGG features',
'training_data_dir': './results/vgg_random__moments__features__10c/training',
'validation_data_dir': './results/vgg_random__moments__features__10c/validation',
'test_data_dir': './results/vgg_random__moments__features__10c/training',
'seq_length': VGG_FEATURES_PER_VIDEO/VGG_SAMPLE_STEP,
'min_seq_length': VGG_FEATURES_PER_VIDEO/VGG_SAMPLE_STEP,
'sample_step': VGG_SAMPLE_STEP }, vgg_base_config)
add_config(configs, 'moments__images',
{ 'description': 'A classifier using raw images',
'seq_length': FRAMES_PER_VIDEO/FRAME_SAMPLE_STEP,
'sample_step': FRAME_SAMPLE_STEP,
'input_channels': 3,
'input_height': 128,
'input_width': 160,
'rescale': 1./255,
'pad_sequences': True,
'average_predictions': True,
'training_data_dir': '../../datasets/moments_video_frames/training',
'validation_data_dir': '../../datasets/moments_video_frames/validation',
'test_data_dir': '../../datasets/moments_video_frames/training' }, vgg_base_config)
add_config(configs, 'ucf__images',
{ 'description': 'A classifier using raw images',
'seq_length': FRAMES_PER_VIDEO/FRAME_SAMPLE_STEP,
'sample_step': FRAME_SAMPLE_STEP,
'input_channels': 3,
'input_height': 128,
'input_width': 160,
'rescale': 1./255,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': os.path.join(UCF_DATA_DIR, 'train_01'),
'validation_data_dir': os.path.join(UCF_DATA_DIR, 'train_01'),
'test_data_dir': os.path.join(UCF_DATA_DIR, 'test_01') }, vgg_base_config)
PREDNET_FEATURES_PER_VIDEO = 5
prednet_base_config = dict()
prednet_base_config.update(vgg_base_config)
prednet_base_config.update({
'seq_length': PREDNET_FEATURES_PER_VIDEO,
'min_seq_length': PREDNET_FEATURES_PER_VIDEO,
'training_index_start': 0, #PREDNET_FEATURES_PER_VIDEO * 300,
'training_max_per_class': 0.5,
'test_index_start': 0.5,
'test_max_per_class': None, # features_per_video * max_videos_per_class
'hidden_dims': [64],
'model_type': 'lstm',
'max_seq_per_source': 1
})
add_config(configs, 'prednet_kitti_moments',
{ 'description': 'A convnet classifier trained on PredNet \
(pretrained on KITTI) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_kitti__moments__representation__10c/training',
'validation_data_dir': '../prednet/results/prednet_kitti__moments__representation__10c/validation',
'test_data_dir': '../prednet/results/prednet_kitti__moments__representation__10c/training'}, prednet_base_config)
add_config(configs, 'prednet_random_moments',
{ 'description': 'A convnet classifier trained on PredNet \
(random weights) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_random__moments__representation__10c/training',
'validation_data_dir': '../prednet/results/prednet_random__moments__representation__10c/validation',
'test_data_dir': '../prednet/results/prednet_random__moments__representation__10c/training'}, prednet_base_config)
add_config(configs, 'prednet_kitti_finetuned_moments_3c',
{ 'description': 'A convnet classifier trained on PredNet \
(pretrained on Moments in Time) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__3c/training',
'validation_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__3c/validation',
'test_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__3c/training'}, prednet_base_config)
add_config(configs, 'prednet_random_finetuned_moments_3c',
{ 'description': 'A convnet classifier trained on PredNet \
(pretrained on Moments in Time) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_random_finetuned_moments__representation__3c/training',
'validation_data_dir': '../prednet/results/prednet_random_finetuned_moments__representation__3c/validation',
'test_data_dir': '../prednet/results/prednet_random_finetuned_moments__representation__3c/training'}, prednet_base_config)
add_config(configs, 'prednet_kitti_finetuned_moments_10c',
{ 'description': 'A convnet classifier trained on PredNet \
(pretrained on Moments in Time) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__10c/training',
'validation_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__10c/validation',
'test_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__10c/training'}, prednet_base_config)
add_config(configs, 'prednet_kitti_finetuned_moments_full',
{ 'description': 'A convnet classifier trained on PredNet \
(pretrained on Moments in Time) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__full/validation',
'test_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__representation__full/training'}, prednet_base_config)
add_config(configs, 'prednet_random_finetuned_moments_audio_10c',
{ 'description': 'A classifier trained on PredNet \
(pretrained on Moments in Time audio) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__representation__10c/training',
'validation_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__representation__10c/validation',
'test_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__representation__10c/training'}, prednet_base_config)
add_config(configs, 'prednet_random_finetuned_moments_audio_full',
{ 'description': 'A classifier trained on PredNet \
(pretrained on Moments in Time audio) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__representation__full/validation',
'test_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__representation__full/training'}, prednet_base_config)
add_config(configs, 'prednet_kitti_finetuned_moments_audio_full',
{ 'description': 'A classifier trained on PredNet \
(pretrained on Moments in Time audio) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__audio__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__audio__representation__full/validation',
'test_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__audio__representation__full/training'}, prednet_base_config)
add_config(configs, 'prednet_random_moments_audio',
{ 'description': 'A classifier trained on PredNet \
(pretrained on Moments in Time audio) features extracted from the Moments in Time dataset.',
'training_data_dir': '../prednet/results/prednet_random__moments_audio__representation__10c/training',
'validation_data_dir': '../prednet/results/prednet_random__moments_audio__representation__10c/validation',
'test_data_dir': '../prednet/results/prednet_random__moments_audio__representation__10c/training'}, prednet_base_config)
'''add_config(configs, 'vgg_prednet_ensemble',
{ 'description': 'An ensemble classifier trained on features extracted from the Moments in Time dataset.',
'task': '2c_easy',
'model_type': 'convlstm',
'batch_size': 10,
'shuffle': False,
'base_results_dir': './results',
'ensemble': ['moments__vgg_imagenet', # 'moments__vgg_imagenet']
'prednet_kitti_finetuned_moments_10c']
}, dict())'''
add_config(configs, 'prednet_random__ucf_01',
{ 'description': 'A classifier trained on PredNet \
features extracted from the UCF-101 dataset.',
'task': 'full',
'seq_length': PREDNET_FEATURES_PER_VIDEO,
'batch_size': 20,
'min_seq_length': 1,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': '../prednet/results/prednet_random__ucf_01__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_random__ucf_01__representation__full/training',
'test_data_dir': '../prednet/results/prednet_random__ucf_01__representation__full/validation'}, prednet_base_config)
add_config(configs, 'prednet_random__ucf_01_audio',
{ 'description': 'A classifier trained on PredNet \
features extracted from the UCF-101 dataset.',
'task': 'full',
'seq_length': PREDNET_FEATURES_PER_VIDEO,
'batch_size': 20,
'min_seq_length': 1,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': '../prednet/results/prednet_random__ucf_01_audio__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_random__ucf_01_audio__representation__full/training',
'test_data_dir': '../prednet/results/prednet_random__ucf_01_audio__representation__full/validation'}, prednet_base_config)
add_config(configs, 'prednet_kitti_finetuned_moments_full__ucf_01',
{ 'description': 'A classifier trained on PredNet \
features extracted from the UCF-101 dataset.',
'task': 'full',
'seq_length': PREDNET_FEATURES_PER_VIDEO,
'batch_size': 20,
'min_seq_length': 1,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__ucf_01__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__ucf_01__representation__full/training',
'test_data_dir': '../prednet/results/prednet_kitti_finetuned_moments__ucf_01__representation__full/validation'}, prednet_base_config)
add_config(configs, 'prednet_random_finetuned_moments_audio_full__ucf_01',
{ 'description': 'A classifier trained on PredNet \
features extracted from the UCF-101 dataset.',
'task': 'full',
'seq_length': PREDNET_FEATURES_PER_VIDEO,
'batch_size': 20,
'min_seq_length': 1,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__ucf_01__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__ucf_01__representation__full/training',
'test_data_dir': '../prednet/results/prednet_random_finetuned_moments_audio__ucf_01__representation__full/validation'}, prednet_base_config)
add_config(configs, 'prednet_finetuned_ucf__ucf_01',
{ 'description': 'A classifier trained on PredNet \
features extracted from the UCF-101 dataset.',
'task': 'full',
'seq_length': PREDNET_FEATURES_PER_VIDEO,
'batch_size': 20,
'min_seq_length': 1,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': '../prednet/results/prednet_finetuned_ucf__ucf_01__representation__full/training',
'validation_data_dir': '../prednet/results/prednet_finetuned_ucf__ucf_01__representation__full/training',
'test_data_dir': '../prednet/results/prednet_finetuned_ucf__ucf_01__representation__full/validation'}, prednet_base_config)
add_config(configs, 'vgg_imagenet__ucf_01',
{ 'description': 'A classifier trained on VGG Imagenet \
features extracted from the UCF-101 dataset.',
'task': 'full',
'seq_length': VGG_FEATURES_PER_VIDEO,
'batch_size': 20,
'min_seq_length': 4,
'pad_sequences': True,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
'training_data_dir': './results/vgg_imagenet__ucf__features__full/train_01',
'validation_data_dir': './results/vgg_imagenet__ucf__features__full/train_01',
'test_data_dir': './results/vgg_imagenet__ucf__features__full/test_01'}, prednet_base_config)
add_config(configs, 'prednet_finetuned_moments_full__ucf_01',
{ 'description': 'An end2end Prednet classifier trained on the UCF-101 dataset.',
'task': 'full',
'seq_length': 10,
'n_timesteps': 10,
'min_seq_length': 5,
'sample_step': 3,
'input_channels': 3,
'input_height': 128,
'input_width': 160,
'data_format': 'channels_first',
'rescale': 1./255,
'batch_size': 10,
'pad_sequences': True,
'model_type': 'multistream',
'hidden_dims': [64],
'dropout': 0.5,
'average_predictions': True,
'training_max_per_class': .9,
'training_index_start': 0,
'validation_index_start': .9,
'test_max_per_class': None,
'test_index_start': 0,
#'training_data_dir': '../../datasets/moments_video_frames/training',
#'test_data_dir': '../../datasets/moments_video_frames/validation',
'training_data_dir': os.path.join(UCF_DATA_DIR, 'train_01'),
'validation_data_dir': os.path.join(UCF_DATA_DIR, 'train_01'),
'test_data_dir': os.path.join(UCF_DATA_DIR, 'test_01'),
#'model_weights_file': '../prednet/results/prednet__ucf_01__model__full/weights.hdf5',
#'model_json_file': '../prednet/results/prednet__ucf_01__model__full/model.json',
'model_weights_file': '../prednet/results/prednet_kitti__moments__model__full/weights.hdf5',
'model_json_file': '../prednet/results/prednet_kitti__moments__model__full/model.json' }, prednet_base_config)