README.md

FILM: Frame Interpolation for Large Motion

Input

(Image from https://github.com/google-research/frame-interpolation/tree/main/photos)

Output

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample images,

$ python3 film.py

If you want to specify the input image, put the first image path after the --input option, and the next image path after the --input2 option.
You can use --savepath option to change the name of the output file to save.

$ python3 film.py --input IMAGE_PATH1 --input2 IMAGE_PATH2 --savepath SAVE_IMAGE_PATH

The --input option can also specify the directory path where the images are located.

$ film film.py --input DIR_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 film.py --video VIDEO_PATH --savepath SAVE_VIDEO_PATH

You can specify the number of times to perform recursive midpoint interpolation with the --interpolate-times option. (default is 1.)

$ python3 film.py --interpolate-times 6

Reference

• FILM: Frame Interpolation for Large Motion

Framework

Tensorflow

Model Format

ONNX opset=12

Netron

film_net.onnx.prototxt