experiments.py

### Experiments

datasets_pre = ['melspectrograms', 'spectrograms', 'cwt_images']
archs = ['vggnet', 'resnet', 'inceptionv3','inception_res', 'vgg_by_hand']
top = ['top_init', 'top_long', 'top_short']
num_frozen = [0,3,5]
filepaths = []
ensemb = []

opt = [{'dataset_pre':'melspectrograms',
		'batch_size':40,
		'num_classes':2,
		'num_epochs':10,
		'network':'audio_model',
		'input_shape':(224,224,3),
		'freeze':0,
		'output_file':'outputs901.txt',
		'top_model':'top_init',
		'mizer':'SGD',
		'ensemble':False}]

opt_temp = [{'dataset_pre':'melspectrograms',
		'batch_size':40,
		'num_classes':2,
		'num_epochs':10,
		'network':'audio_model',
		'input_shape':(224,224,3),
		'output_file':'outputs901.txt',
		'top_model':'top_init',
		'mizer':'SGD',
		'ensemble':False}]

### REGULAR
for fr in num_frozen:
	for ar in archs:
		for data in datasets_pre:
			for t in top:

				tmp = dict(opt_temp[0])

				tmp['dataset_pre'] = data
				tmp['network'] = ar
				tmp['num_epochs'] = 50
				tmp['freeze'] = fr
				tmp['output_file'] = 'outputs901.txt'
				tmp['top_model'] = t

				fp = 'models/' + str(fr) + '/' + t + '/' + data + '/' + ar + ".hdf5"
				filepaths.append(fp)

				opt.append(tmp)

### TESTING
opt_ensemble = []
for data in datasets_pre:
	tmp = dict(opt_temp[0])

	tmp['ensemble'] = True
	tmp['dataset_pre'] = data
	tmp['network'] = ['vggnet', 'inceptionv3', 'resnet']
	tmp['freeze'] = 5
	tmp['num_epochs'] = 50
	tmp['output_file'] = 'output_ens.txt'

	opt_ensemble.append(tmp)




print(len(opt))
print(len(opt_ensemble))