EDVR
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.
파일 탐색기
최종 버전 다운로드 (.zip)- pylint.yml
- basicsr.png
- overall_structure.png
- wandb.jpg
- meta_info_DIV2K800sub_GT.txt
- meta_info_REDS4_test_GT.txt
- meta_info_REDS_GT.txt
- meta_info_REDSofficial4_test_GT.txt
- meta_info_REDSval_official_test_GT.txt
- meta_info_Vimeo90K_test_fast_GT.txt
- meta_info_Vimeo90K_test_GT.txt
- meta_info_Vimeo90K_test_medium_GT.txt
- meta_info_Vimeo90K_test_slow_GT.txt
- meta_info_Vimeo90K_train_GT.txt
- __init__.py
- data_sampler.py
- data_util.py
- ffhq_dataset.py
- paired_image_dataset.py
- prefetch_dataloader.py
- reds_dataset.py
- single_image_dataset.py
- transforms.py
- video_test_dataset.py
- vimeo90k_dataset.py
- __init__.py
- fid.py
- metric_util.py
- niqe.py
- niqe_pris_params.npz
- psnr_ssim.py
- __init__.py
- arch_util.py
- dfdnet_arch.py
- dfdnet_util.py
- discriminator_arch.py
- duf_arch.py
- edsr_arch.py
- edvr_arch.py
- inception.py
- rcan_arch.py
- rrdbnet_arch.py
- spynet_arch.py
- srresnet_arch.py
- stylegan2_arch.py
- tof_arch.py
- vgg_arch.py
- __init__.py
- loss_util.py
- losses.py
- deform_conv_cuda.cpp
- deform_conv_cuda_kernel.cu
- deform_conv_ext.cpp
- __init__.py
- deform_conv.py
- fused_bias_act.cpp
- fused_bias_act_kernel.cu
- __init__.py
- fused_act.py
- upfirdn2d.cpp
- upfirdn2d_kernel.cu
- __init__.py
- upfirdn2d.py
- __init__.py
- base_model.py
- edvr_model.py
- esrgan_model.py
- lr_scheduler.py
- sr_model.py
- srgan_model.py
- stylegan2_model.py
- video_base_model.py
- video_gan_model.py
- __init__.py
- dist_util.py
- download_util.py
- face_util.py
- file_client.py
- flow_util.py
- img_util.py
- lmdb_util.py
- logger.py
- matlab_functions.py
- misc.py
- options.py
- test.py
- train.py
- README.md
- README.md
- Config.md
- Config_CN.md
- DatasetPreparation.md
- DatasetPreparation_CN.md
- Datasets.md
- Datasets_CN.md
- DesignConvention.md
- DesignConvention_CN.md
- HOWTOs.md
- HOWTOs_CN.md
- Logging.md
- Logging_CN.md
- Metrics.md
- Metrics_CN.md
- Models.md
- Models_CN.md
- ModelZoo.md
- ModelZoo_CN.md
- TrainTest.md
- TrainTest_CN.md
- README.md
- inference_dfdnet.py
- inference_esrgan.py
- inference_stylegan2.py
- LICENSE
- LICENSE-NVIDIA
- LICENSE-stylegan2-pytorch
- README.md
- test_DUF_official.yml
- test_EDSR_Lx2.yml
- test_EDSR_Lx3.yml
- test_EDSR_Lx4.yml
- test_EDSR_Mx2.yml
- test_EDSR_Mx3.yml
- test_EDSR_Mx4.yml
- test_EDVR_L_deblur_REDS.yml
- test_EDVR_L_deblurcomp_REDS.yml
- test_EDVR_L_x4_SR_REDS.yml
- test_EDVR_L_x4_SR_Vid4.yml
- test_EDVR_L_x4_SR_Vimeo90K.yml
- test_EDVR_L_x4_SRblur_REDS.yml
- test_EDVR_M_x4_SR_REDS.yml
- test_ESRGAN_x4.yml
- test_ESRGAN_x4_woGT.yml
- test_RRDBNet_PSNR_x4.yml
- test_RCAN.yml
- test_MSRGAN_x4.yml
- test_MSRResNet_x2.yml
- test_MSRResNet_x3.yml
- test_MSRResNet_x4.yml
- test_MSRResNet_x4_woGT.yml
- test_TOF_official.yml
- train_EDSR_Lx2.yml
- train_EDSR_Lx3.yml
- train_EDSR_Lx4.yml
- train_EDSR_Mx2.yml
- train_EDSR_Mx3.yml
- train_EDSR_Mx4.yml
- train_EDVR_L_x4_SR_REDS.yml
- train_EDVR_L_x4_SR_REDS_woTSA.yml
- train_EDVR_M_x4_SR_REDS.yml
- train_EDVR_M_x4_SR_REDS_woTSA.yml
- train_EDVRM_woTSA_GAN_TODO.yml
- train_ESRGAN_x4.yml
- train_RRDBNet_PSNR_x4.yml
- train_RCAN_x2.yml
- train_MSRGAN_x4.yml
- train_MSRResNet_x2.yml
- train_MSRResNet_x3.yml
- train_MSRResNet_x4.yml
- train_StyleGAN2_256_Cmul2_FFHQ.yml
- create_lmdb.py
- download_datasets.py
- extract_images_from_tfrecords.py
- extract_subimages.py
- generate_meta_info.py
- regroup_reds_dataset.py
- backprojection.m
- main_bp.m
- main_reverse_filter.m
- generate_bicubic_img.m
- generate_LR_Vimeo90K.m
- calculate_fid_folder.py
- calculate_fid_stats_from_datasets.py
- calculate_lpips.py
- calculate_psnr_ssim.py
- calculate_stylegan2_fid.py
- convert_dfdnet.py
- convert_models.py
- convert_stylegan.py
- download_gdrive.py
- download_pretrained_models.py
- publish_models.py
- baboon.png
- test_discriminator_backward.py
- test_ffhq_dataset.py
- test_lr_scheduler.py
- test_niqe.py
- test_paired_image_dataset.py
- test_reds_dataset.py
- test_vimeo90k_dataset.py
- .gitignore
- .pre-commit-config.yaml
- README.md
- README_CN.md
- requirements.txt
- setup.cfg
- setup.py
- VERSION
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/xinntao/EDVR
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd EDVR
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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