libcom
Image composition toolbox: everything you want to know about image composition/compositing or object/subject insertion/addition/compositing.
파일 탐색기
최종 버전 다운로드 (.zip)- demo.ipynb
- readthedocs.css
- colortransfer_result1.jpg
- controlcom_result1.jpg
- controlcom_result2.jpg
- fopa_heatmap_FOPA_result1.png
- fopa_heatmap_FOPA_result3.png
- fos_score_result1.jpg
- fos_score_result2.jpg
- fos_score_result3.jpg
- generatecomposite_result1.jpg
- generatecomposite_result2.jpg
- harmonyscore_result1.jpg
- image_harmonization_CDT_result1.jpg
- image_harmonization_CDT_result2.jpg
- image_harmonization_LBM_result.jpg
- image_harmonization_PCT_result1.jpg
- image_harmonization_PCT_result2.jpg
- inharmonious_localization_result3.jpg
- inharmonious_localization_result3_4.jpg
- inharmonious_localization_result4.jpg
- insert_anything_result1.jpg
- insert_anything_result2.jpg
- kontext_result1.jpg
- kontext_result2.jpg
- LOGO.png
- mureobjectstitch_result1.jpg
- mureobjectstitch_result2.jpg
- objectstitch_result1.jpg
- objectstitch_result2.jpg
- opascore_result1.jpg
- os_insert_result.jpg
- painterly_image_harmonization_result1.jpg
- painterly_image_harmonization_result2.jpg
- painterly_image_harmonization_result3.jpg
- reflection_generation1.jpg
- reflection_generation2.jpg
- shadow_generation_result1.jpg
- shadow_generation_result2.jpg
- shadow_generation_result3.jpg
- shadow_generation_result4.jpg
- api.rst
- color_transfer.md
- conf.py
- controllable_composition.md
- fopa_heat_map.md
- fos_score.md
- get_composite_image.md
- get_started.md
- harmony_score.md
- image_harmonization.md
- index.rst
- inharmonious_region_localization.md
- kontext.md
- make.bat
- Makefile
- opa_score.md
- os_insert.md
- overview.md
- painterly_image_harmonization.md
- reflection_generation.md
- shadow_generation.md
- __init__.py
- reinhard.py
- __init__.py
- __init__.pyc
- ResNet.py
- ResNet.pyc
- __init__.py
- __init__.pyc
- all_transforms.py
- all_transforms.pyc
- OBdataset.py
- OBdataset.pyc
- __init__.py
- __init__.pyc
- BaseBlocks.py
- BaseBlocks.pyc
- DynamicModules.py
- DynamicModules.pyc
- ObPlaNet_simple.py
- ObPlaNet_simple.pyc
- tensor_ops.py
- tensor_ops.pyc
- __init__.py
- prepare_multi_fg_scales.py
- __init__.py
- fopa_heat_map.py
- __init__.py
- config.py
- config.sfosd.yaml
- config_rfosd.yaml
- __init__.py
- loss_function.py
- networks.py
- __init__.py
- fos_score_prediction.py
- __init__.py
- bargainnet.py
- __init__.py
- harmony_score_prediction.py
- __init__.py
- collation_fn.py
- dataset.py
- datasets_config.py
- __init__.py
- base.py
- filter_wrapper.py
- filters.py
- filters_config.py
- __init__.py
- base.py
- mappers.py
- mappers_config.py
- mappers_wrapper.py
- __init__.py
- __init__.py
- inference.py
- utils.py
- __init__.py
- base_model.py
- model_config.py
- __init__.py
- base_conditioner.py
- base_conditioner_config.py
- __init__.py
- latents_concat_embedder_config.py
- latents_concat_embedder_model.py
- __init__.py
- conditioners_wrapper.py
- __init__.py
- lbm_config.py
- lbm_model.py
- __init__.py
- unet.py
- __init__.py
- autoencoderKL.py
- autoencoderKL_config.py
- __init__.py
- utils.py
- __init__.py
- loggers.py
- trainer.py
- training_config.py
- utils.py
- config.py
- __init__.py
- functions.py
- pct_net.py
- __init__.py
- image_harmonization.py
- __init__.py
- blocks.py
- functions.py
- madis_net.py
- __init__.py
- inharmonious_region_localization.py
- __init__.py
- pipeline.py
- __init__.py
- kontext_blending_harmonization.py
- __init__.py
- generate_composite_image.py
- __init__.py
- object_place_net.py
- oblect_place_config.py
- resnet_4ch.py
- __init__.py
- opa_score_prediction.py
- __init__.py
- _patched_pipeline_flux_fill.py
- __init__.py
- base.py
- datamodule.py
- imagenet.py
- lsun.py
- open_images.py
- __init__.py
- classifier.py
- ddim.py
- ddpm.py
- plms.py
- autoencoder.py
- __init__.py
- model.py
- openaimodel.py
- util.py
- __init__.py
- distributions.py
- __init__.py
- modules.py
- xf.py
- __init__.py
- contperceptual.py
- vqperceptual.py
- attention.py
- ema.py
- x_transformer.py
- lr_scheduler.py
- util.py
- __init__.py
- ia_utils.py
- insertanything_infer.py
- objectstitch_data.py
- objectstitch_infer.py
- sam_on_objectstitch.py
- utils.py
- v1.yaml
- __init__.py
- os_insert.py
- __init__.py
- dpm_solver.py
- sampler.py
- __init__.py
- ddim.py
- ddpm.py
- plms.py
- scheduling_pndm.py
- __init__.py
- autoencoder.py
- __init__.py
- model.py
- openaimodel.py
- util.py
- __init__.py
- distributions.py
- __init__.py
- adapter.py
- modules.py
- __init__.py
- base_model.py
- blocks.py
- dpt_depth.py
- midas_net.py
- midas_net_custom.py
- transforms.py
- vit.py
- __init__.py
- api.py
- utils.py
- __init__.py
- api.py
- body.py
- hand.py
- model.py
- util.py
- __init__.py
- api.py
- model_edge.py
- utils.py
- __init__.py
- dual_encoder_fusion.py
- test.png
- __init__.py
- bsrgan.py
- bsrgan_light.py
- utils_image.py
- __init__.py
- attention.py
- ema.py
- __init__.py
- inference_base.py
- lr_scheduler.py
- util.py
- __init__.py
- stable_diffusion.yaml
- __init__.py
- networks.py
- phdnet.py
- phdnet_config.py
- __init__.py
- __init__.py
- painterly_image_harmonization.py
- __init__.py
- base_network.py
- cldm.py
- ddim_hacked.py
- hack.py
- logger.py
- model.py
- util.py
- __init__.py
- dpm_solver.py
- sampler.py
- __init__.py
- attention_processor.py
- ddim.py
- ddpm.py
- ip_adapter.py
- plms.py
- sampling_util.py
- mask_predictor.py
- __init__.py
- autoencoder.py
- __init__.py
- model.py
- openaimodel.py
- upscaling.py
- util.py
- __init__.py
- distributions.py
- __init__.py
- modules.py
- test.png
- __init__.py
- bsrgan.py
- bsrgan_light.py
- utils_image.py
- base_model.py
- blocks.py
- dpt_depth.py
- midas_net.py
- midas_net_custom.py
- transforms.py
- vit.py
- api.py
- utils.py
- __init__.py
- attention.py
- ema.py
- __init__.py
- util.py
- pndm.py
- scheduling_pndm.py
- __init__.py
- cldm_v15.yaml
- cluster_feature.py
- local_clip.py
- PostProcessModel.py
- tool_add_control.py
- __init__.py
- reflection_generation.py
- __init__.py
- base_network.py
- cldm.py
- model.py
- __init__.py
- dpm_solver.py
- sampler.py
- __init__.py
- attention_processor.py
- ddim.py
- ddpm.py
- ip_adapter.py
- plms.py
- sampling_util.py
- mask_predictor.py
- __init__.py
- autoencoder.py
- __init__.py
- model.py
- openaimodel.py
- upscaling.py
- util.py
- __init__.py
- distributions.py
- __init__.py
- modules.py
- test.png
- __init__.py
- bsrgan.py
- bsrgan_light.py
- utils_image.py
- __init__.py
- base_model.py
- blocks.py
- dpt_depth.py
- midas_net.py
- midas_net_custom.py
- transforms.py
- vit.py
- __init__.py
- api.py
- utils.py
- __init__.py
- attention.py
- ema.py
- __init__.py
- util.py
- __init__.py
- attention_processor.py
- PostProcessModel.py
- __init__.py
- shadow_generation.py
- __init__.py
- environment.py
- model_download.py
- process_image.py
- __init__.py
- controlcom.jpg
- fopa_heat_map_network.jpg
- fos_score_FOSD.jpg
- fos_score_FOSE.jpg
- harmony_score_bargainet.jpg
- harmony_score_bargainnet.jpg
- image_composition_pipeline.jpg
- image_composition_task.gif
- image_harmonization_CDTNet1.jpg
- image_harmonization_PCTNet.jpg
- inharmonious_region_localization_MadisNet.jpg
- insertanything.jpg
- kontext.jpg
- LOGO.png
- mureobjectstitch.jpg
- objectstitch.jpg
- online_workbench.jpg
- opa_score_simopa1.jpg
- painterly_image_harmonization_PHDiffusion.jpg
- painterly_image_harmonization_PHDNet.jpg
- reflection_model.jpg
- shadow_generation_controlnet1.jpg
- shadow_generation_gpsdiffusion.jpg
- 000000049931.png
- 000000460450.png
- 6c5601278dcb5e6d_m09728_f5cd2891_17.png
- 000000049931.txt
- 000000460450.txt
- 6c5601278dcb5e6d_m09728_f5cd2891_17.txt
- 000000049931.png
- 000000460450.png
- 6c5601278dcb5e6d_m09728_f5cd2891_17.png
- 000000049931.png
- 000000460450.png
- 6c5601278dcb5e6d_m09728_f5cd2891_17.png
- 1674.jpg
- 1674.jpg
- 1674.jpg
- ameland-5651866_harm.jpg
- benches-560435_harm.jpg
- downtown-690827_harm.jpg
- vaulted-cellar-247391_inharm.jpg
- ameland-5651866_harm.jpg
- benches-560435_harm.jpg
- downtown-690827_harm.jpg
- vaulted-cellar-247391_inharm.jpg
- 1.png
- 2.png
- 3.png
- 4.png
- 5.png
- 6.png
- 1.png
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- 3.png
- 4.png
- 5.png
- 6.png
- 1.png
- 1.png
- 1.png
- 2.png
- 1.png
- 2.png
- 1.jpg
- 1.txt
- 1.jpg
- 1.png
- 1.jpg
- 1.png
- __init__.py
- common.py
- run_all_tests.sh
- test_color_transfer.py
- test_composite_generation.py
- test_flux_kontext.py
- test_fopa_heat_map.py
- test_fos_score.py
- test_harmony_score.py
- test_image_harmonization.py
- test_inharmonious_region_localization.py
- test_opa_score.py
- test_os_insert.py
- test_painterly_image_harmonization.py
- test_reflection_generation.py
- test_shadow_generation.py
- .gitignore
- .readthedocs.yaml
- docs.txt
- LICENSE
- README.md
- requirements.txt
- setup.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/bcmi/libcom
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd libcom
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Python
쉬움 추천사전 준비물
pip install -r requirements.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
jupyter notebook
브라우저에서 노트북(.ipynb) 파일들을 열람하고 실행할 수 있는 Jupyter 화면을 켭니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
// repository documentation
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