DeepDream_ParameterSearch.py

# Set parameters for generating different images
parameters = [
    {'name': uuid.uuid4(), 't_obj_filter': 139, 'img0': img0, 'iter_n':10, 'step':1.5, 'octave_n':4, 'octave_scale':1.4},
    {'name': uuid.uuid4(), 't_obj_filter': 139, 'img0': img0, 'iter_n':10, 'step':1.5, 'octave_n':4, 'octave_scale':1.0}, ]
output_data={}

# Iterate through all parameters and track performance
for i in range(0,len(parameters)):
    start_time=time.time()
    # Perform the deep dream rendering and store output array, which is called output_image
    output_image=render_deepdream(T(layer)[:,:,:,parameters[i]['t_obj_filter']],
                                  img0=parameters[i]['img0'],
                                  iter_n=parameters[i]['iter_n'],
                                  step=parameters[i]['step'], 
                                  octave_n=parameters[i]['octave_n'],
                                  octave_scale=parameters[i]['octave_scale'],
                                  show_image=False)
    #log the output as a dictionary of tuples, including the image, timing and original parameters
    end_time=time.time()
    output_data[str(parameters[i]['name'])]=(output_image.copy(), end_time-start_time, parameters[i])

# Iterate through all parameters and track performance
for p in parameters:
    start_time = time.time()
    # Perform the deep dream rendering and store output array, which is called output_image
    output_image = render_deepdream(T(layer)[:,:,:, p['t_obj_filter']],
                                  img0=p['img0'],
                                  iter_n=p['iter_n'],
                                  step=p['step'], 
                                  octave_n=p['octave_n'],
                                  octave_scale=p['octave_scale'],
                                  show_image=False)

    # log the output as a dictionary of tuples, including the image, timing and original parameters
    end_time = time.time()
    output_data[str(p['name'])] = (output_image.copy(), end_time-start_time, p)