README.md

pytorch-inpainting-with-partial-conv

Input

(Image from Places2 dataset http://places2.csail.mit.edu/download.html)

Shape : (n, 3, 256, 256)

Output

Left to right: input, mask, image generated by the network, ground truth

Shape : (n, 3, 256, 256)

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 image,

$ python3 pytorch-inpainting-with-partial-conv.py

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

$ python3 pytorch-inpainting-with-partial-conv.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --mask-index option, you can specify index of mask file.
(default is randomly selected)

$ python3 pytorch-inpainting-with-partial-conv.py --mask-index 12

If you want to re-generate mask file, run generate_masks.py.
You can specify the number of files to generate by --N option.

$ python3 generate_masks.py --N 16

Reference

pytorch-inpainting-with-partial-conv

Framework

Pytorch

Model Format

ONNX opset=11

Netron

partialconv.onnx.prototxt