colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
30 lines
1.1 KiB
Python
Executable File
30 lines
1.1 KiB
Python
Executable File
import os
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from test.conftest import test_files_path, test_outputs_path
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import numpy as np
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import pytest
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from PIL import Image
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@pytest.mark.usefixtures("initialize")
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@pytest.mark.parametrize("restorer_name", ["gfpgan", "codeformer"])
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def test_face_restorers(restorer_name):
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from modules import shared
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if restorer_name == "gfpgan":
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from modules import gfpgan_model
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gfpgan_model.setup_model(shared.cmd_opts.gfpgan_models_path)
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restorer = gfpgan_model.gfpgan_fix_faces
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elif restorer_name == "codeformer":
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from modules import codeformer_model
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codeformer_model.setup_model(shared.cmd_opts.codeformer_models_path)
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restorer = codeformer_model.codeformer.restore
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else:
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raise NotImplementedError("...")
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img = Image.open(os.path.join(test_files_path, "two-faces.jpg"))
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np_img = np.array(img, dtype=np.uint8)
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fixed_image = restorer(np_img)
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assert fixed_image.shape == np_img.shape
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assert not np.allclose(fixed_image, np_img) # should have visibly changed
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Image.fromarray(fixed_image).save(os.path.join(test_outputs_path, f"{restorer_name}.png"))
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