Draw like Bob Ross using the power of Neural Networks (With PyTorch)!

Related tags

Deep Learning drawlikebobross
Overview

Draw like Bob Ross using the power of Neural Networks! (+ Pytorch)

Sample

Learning Process Visualization

webm

Getting started

Install dependecies

Requires python3.x

pip install -r requirements.txt
pip install http://download.pytorch.org/whl/cu75/torch-0.1.11.post5-cp36-cp36m-linux_x86_64.whl 
pip install torchvision

Run server (using pretrained model)

python app.py --resume pretrained_models/450epoch_aae.tar

Navigate to 127.0.0.1:5000

Run server (from scatch)

1. Scrapping data

./scrapper.sh

2. Preprocess data (should take around 5-10 mins)

python preprocess.py

3. Train data

cd aae
python train.py

4. Run server

cd PROJECT_ROOT
python app.py --resume TRAINEDMODEL.path.tar

Navigate to 127.0.0.1:5000

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Comments
  • Doubt

    Doubt 

        self.conv = nn.Sequential(
        # Input: (channel_num) x 256 x 256
        nn.Conv2d(channel_num, filter_num, 4, 2, 1, bias=False),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num) x 128 x 128
        nn.Conv2d(filter_num, filter_num * 2, 4, 2, 1, bias=False),
        nn.BatchNorm2d(filter_num * 2),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num * 2) x 64 x 64
        nn.Conv2d(filter_num * 2, filter_num * 2, 8, 4, 1, bias=False),
        nn.BatchNorm2d(filter_num * 2),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num * 2) x 16 x 16
        nn.Conv2d(filter_num * 2, filter_num, 8, 4, 1, bias=False),
        nn.BatchNorm2d(filter_num),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num) x 3 x 3
    )

    Can you tell me how these parameters are set, if I modify the size of the input of the picture?

    opened by linzhi123 0
Owner
Kendrick Tan
Kendrick Tan
GitHub https://kendricktan.github.io/draw-like-bob-ross-with-pytorch.html#draw-like-bob-ross-with-pytorch
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