example_config.json

{
	"help": "Standard Parameters for training , use this as template.",



	"data_augmentation": {
			"video_image_param": { "input_size" : 256 , "output_size": 224},
			"video_augmentation": {"RandomHorizontalFlip": true, "scales": [1, 0.875, 0.75, 0.66], "ColorJitter": false, "RandomGrayscale": 0.0, "GaussianBlur":false},
			"audio_image_param": {"window_sizes": [25, 50, 100], "hop_sizes": [10, 25, 50], "n_mels": 224, "eps": 1e-6, "spec_size": [3, 224, 224], "num_segments": 1, "m_segments": 1},
			"audio_augmentation": {"status":true, "random_shift_waveform": [1.0, 1.0]}
	},

	"model": {
		"video_segments": 4,
		"audio_segments": 0,
		"arch": "resnet50_timm",
		"pretrain": "imagenet",
		"dropout": 0.5
	},

	"shift_temporal": {
		"status": true,
		"f_div": 4,
		"shift_depth": 4,
		"n_insert": 2,
		"m_insert": 0
	},



    "training_param": {"epochs": 50, "batch_size": 3, "num_workers": 40},
	"optimizer_param": {"lr": 5.0e-2, "lr_decay": [0.1, 5, 0.01, 25, 0.001,45], "momentum":  0.9, "gd": 20 ,"weight_decay": 1e-4},


    "save_epoch": [90],
	"results_folder": "results"

}