From c8c72c2c74fab3d1946185383055d5b1b8950dbf Mon Sep 17 00:00:00 2001 From: yuki Date: Tue, 19 Nov 2024 00:14:23 +0900 Subject: [PATCH] Implement lama --- README.md | 1 + image_inpainting/lama/000068.png | Bin 0 -> 2588611 bytes image_inpainting/lama/000068_mask.png | Bin 0 -> 131049 bytes image_inpainting/lama/LICENSE | 201 ++++++++++++++++++++++++++ image_inpainting/lama/README.md | 51 +++++++ image_inpainting/lama/lama.py | 134 +++++++++++++++++ scripts/download_all_models.sh | 1 + 7 files changed, 388 insertions(+) create mode 100644 image_inpainting/lama/000068.png create mode 100644 image_inpainting/lama/000068_mask.png create mode 100644 image_inpainting/lama/LICENSE create mode 100644 image_inpainting/lama/README.md create mode 100644 image_inpainting/lama/lama.py diff --git a/README.md b/README.md index 1ea16cb93..8f62f6941 100644 --- a/README.md +++ b/README.md @@ -405,6 +405,7 @@ If you would like to try on your computer: | [](image_inpainting/inpainting_gmcnn/) | [inpainting_gmcnn](/image_inpainting/inpainting_gmcnn/) | [Image Inpainting via Generative Multi-column Convolutional Neural Networks](https://github.com/shepnerd/inpainting_gmcnn) | TensorFlow | 1.2.6 and later | | [](image_inpainting/3d-photo-inpainting/) | [3d-photo-inpainting](/image_inpainting/3d-photo-inpainting/) | [3D Photography using Context-aware Layered Depth Inpainting](https://github.com/vt-vl-lab/3d-photo-inpainting) | Pytorch | 1.2.7 and later | | [](image_inpainting/deepfillv2/) | [deepfillv2](/image_inpainting/deepfillv2/) | [Free-Form Image Inpainting with Gated Convolution](https://github.com/open-mmlab/mmediting/tree/master/configs/inpainting/deepfillv2) | Pytorch | 1.2.9 and later | +[](image_inpainting/lama/) | [lama](/image_inpainting/lama/) | [LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions](https://github.com/advimman/lama) | Pytorch | 2.0.0 and later | ## Image manipulation diff --git a/image_inpainting/lama/000068.png 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mCPIy}@q%}a_<2xqgJj;wvl 0) * 1 + + # prepare input data + logger.debug(f'input data shape: {image.shape}') + + # inference + logger.info('Start inference...') + if args.benchmark: + logger.info('BENCHMARK mode') + total_time = 0 + for i in range(args.benchmark_count): + start = int(round(time.time() * 1000)) + + results = net.run((np.expand_dims(image,0), + np.expand_dims(mask ,0))) + + end = int(round(time.time() * 1000)) + logger.info(f'\tailia processing time {end - start} ms') + if i != 0: + total_time = total_time + (end - start) + logger.info(f'\taverage time {total_time / (args.benchmark_count - 1)} ms') + else: + results = net.run((np.expand_dims(image,0), + np.expand_dims(mask ,0))) + + savepath = get_savepath(args.savepath, image_path, ext='.png') + logger.info(f'saved at : {savepath}') + + results = np.array(results[0][0]) + results = np.transpose(results,(1,2,0)).astype("uint8") + + res_img = cv2.cvtColor(results, cv2.COLOR_RGB2BGR) + + cv2.imwrite(savepath, res_img) + + logger.info('Script finished successfully.') + +def main(): + + if "FP16" in ailia.get_environment(args.env_id).props or platform.system() == 'Darwin': + logger.warning('This model do not work on FP16. So use CPU mode.') + args.env_id = 0 + + # model files check and download + check_and_download_models(MODEL_PATH, MODEL_PATH, REMOTE_PATH) + + memory_mode = ailia.get_memory_mode(reduce_constant=True, reduce_interstage=True) + # net initialize + net = ailia.Net(MODEL_PATH, WEIGHT_PATH,memory_mode=memory_mode, env_id=args.env_id) + + recognize_from_image(net) + + +if __name__ == '__main__': + main() diff --git a/scripts/download_all_models.sh b/scripts/download_all_models.sh index cd277ac26..08899bab4 100755 --- a/scripts/download_all_models.sh +++ b/scripts/download_all_models.sh @@ -169,6 +169,7 @@ cd ../../image_inpainting/3d-photo-inpainting; python3 3d-photo-inpainting.py ${ cd ../../image_inpainting/inpainting_gmcnn; python3 inpainting_gmcnn.py ${OPTION} cd ../../image_inpainting/pytorch-inpainting-with-partial-conv; python3 pytorch-inpainting-with-partial-conv.py ${OPTION} cd ../../image_inpainting/deepfillv2; python3 deepfillv2.py ${OPTION} +cd ../../image_inpainting/lama; python3 lama.py ${OPTION} cd ../../image_manipulation/dewarpnet; python3 dewarpnet.py ${OPTION} cd ../../image_manipulation/illnet; python3 illnet.py ${OPTION} cd ../../image_manipulation/noise2noise; python3 noise2noise.py ${OPTION}

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