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Demo

We provide some task-specific demo scripts to test a single image.

Inpainting

You can use the following commands to test a pair of images for inpainting.

python demo/inpainting_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${MASKED_IMAGE_FILE} \
    ${MASK_FILE} \
    ${SAVE_FILE} \
    [--imshow] \
    [--device ${GPU_ID}]

If --imshow is specified, the demo will also show image with opencv. Examples:

python demo/inpainting_demo.py \
    configs/inpainting/global_local/gl_256x256_8x12_celeba.py \
    https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_celeba_20200619-5af0493f.pth \
    tests/data/image/celeba_test.png \
    tests/data/image/bbox_mask.png \
    tests/data/pred/inpainting_celeba.png

The predicted inpainting result will be save in tests/data/pred/inpainting_celeba.png.

Matting

You can use the following commands to test a pair of images and trimap.

python demo/matting_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${IMAGE_FILE} \
    ${TRIMAP_FILE} \
    ${SAVE_FILE} \
    [--imshow] \
    [--device ${GPU_ID}]

If --imshow is specified, the demo will also show image with opencv. Examples:

python demo/matting_demo.py \
    configs/mattors/dim/dim_stage3_v16_pln_1x1_1000k_comp1k.py \
    work_dirs/dim_stage3/latest.pth \
    tests/data/merged/GT05.jpg \
    tests/data/trimap/GT05.png \
    tests/data/pred/GT05.png

The predicted alpha matte will be save in tests/data/pred/GT05.png.

Restoration (Image)

You can use the following commands to test an image for restoration.

python demo/restoration_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${IMAGE_FILE} \
    ${SAVE_FILE} \
    [--imshow] \
    [--device ${GPU_ID}] \
    [--ref-path ${REF_PATH}]

If --imshow is specified, the demo will also show image with opencv. Examples:

python demo/restoration_demo.py \
    configs/restorers/esrgan/esrgan_x4c64b23g32_g1_400k_div2k.py \
    work_dirs/esrgan_x4c64b23g32_g1_400k_div2k/latest.pth \
    tests/data/lq/baboon_x4.png \
    demo/demo_out_baboon.png

You can test Ref-SR by providing --ref-path. Examples:

python demo/restoration_demo.py \
    configs/restorers/ttsr/ttsr-gan_x4_c64b16_g1_500k_CUFED.py \
    https://download.openmmlab.com/mmediting/restorers/ttsr/ttsr-gan_x4_c64b16_g1_500k_CUFED_20210626-2ab28ca0.pth \
    tests/data/test_multiple_gt/sequence_1/00000000.png \
    work_dirs/demo_out.png \
    --ref-path tests/data/test_multiple_gt/sequence_1/00000001.png

Restoration (Face Image)

You can use the following commands to test an face image for restoration.

python demo/restoration_face_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${IMAGE_FILE} \
    ${SAVE_FILE} \
    [--upscale-factor] \
    [--face-size] \
    [--imshow] \
    [--device ${GPU_ID}]

If --imshow is specified, the demo will also show image with opencv. Examples:

python demo/restoration_face_demo.py \
    configs/restorers/glean/glean_in128out1024_4x2_300k_ffhq_celebahq.py \
    https://download.openmmlab.com/mmediting/restorers/glean/glean_in128out1024_4x2_300k_ffhq_celebahq_20210812-acbcb04f.pth \
    tests/data/face/000001.png \
    results/000001.png \
    --upscale-factor 4

Restoration (Video)

You can use the following commands to test a video for restoration.

python demo/restoration_video_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${INPUT_DIR} \
    ${OUTPUT_DIR} \
    [--window-size=${WINDOW_SIZE}] \
    [--device ${GPU_ID}]

It supports both the sliding-window framework and the recurrent framework. Examples:

EDVR:

python demo/restoration_video_demo.py \
    ./configs/restorers/edvr/edvrm_wotsa_x4_g8_600k_reds.py \
    https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522-0570e567.pth \
    data/Vid4/BIx4/calendar/ \
    ./output \
    --window-size=5

BasicVSR:

python demo/restoration_video_demo.py \
    ./configs/restorers/basicvsr/basicvsr_reds4.py \
    https://download.openmmlab.com/mmediting/restorers/basicvsr/basicvsr_reds4_20120409-0e599677.pth \
    data/Vid4/BIx4/calendar/ \
    ./output

The restored video will be save in output/.

video frame interpolation

You can use the following commands to test a video for frame interpolation.

python demo/video_interpolation_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${INPUT_DIR} \
    ${OUTPUT_DIR} \
    [--fps-multiplier ${FPS_MULTIPLIER}] \
    [--fps ${FPS}]

${INPUT_DIR} / ${OUTPUT_DIR} can be a path of video file or the folder of a sequence of ordered images. If ${OUTPUT_DIR} is a path of video file, its frame rate can be determined by the frame rate of input video and fps_multiplier, or be determined by fps directly (the former has higher priority). Examples:

The frame rate of output video is determined by the frame rate of input video and fps_multiplier

python demo/video_interpolation_demo.py \
    configs/video_interpolators/cain/cain_b5_320k_vimeo-triplet.py \
    https://download.openmmlab.com/mmediting/video_interpolators/cain/cain_b5_320k_vimeo-triple_20220117-647f3de2.pth \
    tests/data/test_inference.mp4 \
    tests/data/test_inference_vfi_out.mp4 \
    --fps-multiplier 2.0

The frame rate of output video is determined by fps:

python demo/video_interpolation_demo.py \
    configs/video_interpolators/cain/cain_b5_320k_vimeo-triplet.py \
    https://download.openmmlab.com/mmediting/video_interpolators/cain/cain_b5_320k_vimeo-triple_20220117-647f3de2.pth \
    tests/data/test_inference.mp4 \
    tests/data/test_inference_vfi_out.mp4 \
    --fps 60.0

Generation

python demo/generation_demo.py \
    ${CONFIG_FILE} \
    ${CHECKPOINT_FILE} \
    ${IMAGE_FILE} \
    ${SAVE_FILE} \
    [--unpaired-path ${UNPAIRED_IMAGE_FILE}] \
    [--imshow] \
    [--device ${GPU_ID}]

If --unpaired-path is specified (used for CycleGAN), the model will perform unpaired image-to-image translation. If --imshow is specified, the demo will also show image with opencv. Examples:

Paired:

python demo/generation_demo.py \
    configs/example_config.py \
    work_dirs/example_exp/example_model_20200202.pth \
    demo/demo.jpg \
    demo/demo_out.jpg

Unpaired (also show image with opencv):

python demo/generation_demo.py 、
    configs/example_config.py \
    work_dirs/example_exp/example_model_20200202.pth \
    demo/demo.jpg \
    demo/demo_out.jpg \
    --unpaired-path demo/demo_unpaired.jpg \
    --imshow
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