dreamify 0.31.38

No project description provided

A function that applies deep dream to an image using a pre-trained CNN trained on the ImageNet dataset.

Testing it

dreamify

Installation

pip install dreamify

Usage

To apply Dreamify to an image, use the following Python script:

from dreamify.deepdream import deepdream


image_path = "example.jpg"

deepdream(image_path)

You may customize the behavior of the dreamifyer by selecting a different pre-trained model, saving it as a video, etc.:

from dreamify.deepdream import deepdream


image_path = "example.jpg"

deepdream(
    image_path,
    output_path="deepdream.png",
    model_name="inception_v3",
    iterations=100,
    learning_rate=0.01,
    octaves=range(-2, 3),
    octave_scale=1.3,
    save_video=False,
    save_gif=False,
    duration=3,
    vid_duration=3,
    gif_duration=3,
    mirror_video=False,
    seed=None,
)

Available Models

Dreamify supports the following models:

Model Name	Enum Value
VGG19	vgg19
ConvNeXt-XL	convnext_xl
DenseNet121	densenet121
EfficientNet-V2L	efficientnet_v2l
Inception-ResNet-V2	inception_resnet_v2
Inception-V3 (Default)	inception_v3
ResNet152V2	resnet152v2
Xception	xception
MobileNet-V2	mobilenet_v2

Other Examples

DeepDream

Dream (shallow) -- See documentation of dream (shallow).