This demo demonstrates an example of using neural networks to colorize a video. You can use the following models with the demo:
colorization-v2
colorization-siggraph
For more information about the pre-trained models, refer to the model documentation.
On the start-up, the application reads command-line parameters and loads one network to the Inference Engine for execution.
Once the program receives an image, it performs the following steps:
Running the application with the -h
option yields the following usage message:
To run the demo, you can use public or Intel's pretrained models. To download pretrained models, use the OpenVINO™ Model Downloader. The list of models supported by the demo is in the models.lst
file in the demo's directory.
NOTE: Before running the demo with a trained model, make sure the model is converted to the Inference Engine format (*.xml + *.bin) using the Model Optimizer tool.
The demo uses OpenCV to display the colorized frame.