(Image from Vimeo-90K dataset http://data.csail.mit.edu/tofu/dataset/vimeo_septuplet.zip)
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 flavr.py
If you want to specify the input images, put the directory path of input images after the --input
option.
You can use --savepath
option to change the name of the directory of the output file to save.
$ python3 flavr.py --input IMAGE_PATH --savepath SAVE_IMAGE_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 flavr.py --video VIDEO_PATH --savepath SAVE_VIDEO_PATH
For multi frame interpolation model, you can specify the multiple of output frame (4 or 8) after the -ip
option.
$ python3 flavr.py -ip 4
You can set output video size using -hw
option.
$ python3 flavr.py -hw 544,960
Pytorch
ONNX opset=11
FLAVR_2x.onnx.prototxt
FLAVR_4x.onnx.prototxt
FLAVR_8x.onnx.prototxt