ID: 5d861bb7850bb704a303272d
GAN City to GTA
by SHIVAM GARG
GAN to convert City landscape images to GTA5 like Images
License: Not Specified
Tags:
Model stats and performance
| Dataset Used | Cityscapes Dataset |
| Framework | PyTorch |
| OS Used | Linux |
| Publication | View |
Inference time in seconds per sample.
Performance data is not available.
Screenshots
WHAT IS IT?
Want to imagine how your city will look like in GTA? This AI model helps you to convert city images into GTA like images.
HOW TO USE?
To run The Inference Script run this command
python run.py -input ../input/panda.jpg -generatestats 1 -infer 1 -gpu 0.25 -modelpath ../model/mobilenet_v2_1.4_224_frozen.pb
For help, python run.py -h
Usage
run.py -h [--config CONFIG] [--input INPUT]
| ARGUMENTS | DETAILS | HELP OPTIONS |
|---|---|---|
| --config | CONFIG | net configuration |
| --input | INPUT | input image path |
| --output_folder | OUTPUT_FOLDER | output image path |
| --checkpoint | CHECKPOINT | checkpoint of autoencoders |
| --style | STYLE | style image path |
| --a2b | A2B | 1 for a2b and others for b2a |
| --num_style | NUM_STYLE | number of styles to sample |
| --synchronised | SYNCHRONISED | whether use synchronised style code or not |
| --output_path | OUTPUT_PATH | path for logs, checkpoints, and VGG model weight |
WHAT ARE THE REQUIREMENTS?
To get all the requirements and dependencies installed run the command
For GPU - pip install -r gpu_requirements.txt
For CPU - pip install -r cpu_requirements.txt
Author View Profile
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A philosophy student cleverly disguised as a Coax Deep Learning engineer spending whole day, practically every day, experimenting with TensorFlow,Pytorch, and Caffe; dabbling with Python and C++; and drinking a wide variety of Coffee everyday.
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