1b87a98261
## 主要更新 - ✨ 更新所有依赖到最新稳定版本 - 📝 添加详细的项目文档和模型推荐 - 🔧 配置 VSCode Cloud Studio 预览功能 - 🐛 修复 PyTorch API 弃用警告 ## 依赖更新 - diffusers: 0.27.2 → 0.35.2 - gradio: 4.21.0 → 5.46.0 - peft: 0.7.1 → 0.18.0 - Pillow: 9.5.0 → 11.3.0 - fastapi: 0.108.0 → 0.116.2 ## 新增文件 - CLAUDE.md - 项目架构和开发指南 - UPGRADE_NOTES.md - 详细的升级说明 - .vscode/preview.yml - 预览配置 - .vscode/LAUNCH_GUIDE.md - 启动指南 - .gitignore - 更新的忽略规则 ## 代码修复 - 修复 iopaint/model/ldm.py 中的 torch.cuda.amp.autocast() 弃用警告 ## 文档更新 - README.md - 添加模型推荐和使用指南 - 完整的项目源码（iopaint/） - Web 前端源码（web_app/） 🤖 Generated with Claude Code
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import cv2
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import numpy as np
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def expand_image(cv2_img, top: int, right: int, bottom: int, left: int):
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assert cv2_img.shape[2] == 3
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origin_h, origin_w = cv2_img.shape[:2]
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# TODO: which is better?
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# new_img = np.ones((new_height, new_width, 3), np.uint8) * 255
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new_img = cv2.copyMakeBorder(
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cv2_img, top, bottom, left, right, cv2.BORDER_REPLICATE
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)
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inner_padding_left = 0 if left > 0 else 0
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inner_padding_right = 0 if right > 0 else 0
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inner_padding_top = 0 if top > 0 else 0
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inner_padding_bottom = 0 if bottom > 0 else 0
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mask_image = np.zeros(
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(
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origin_h - inner_padding_top - inner_padding_bottom,
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origin_w - inner_padding_left - inner_padding_right,
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),
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np.uint8,
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)
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mask_image = cv2.copyMakeBorder(
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mask_image,
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top + inner_padding_top,
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bottom + inner_padding_bottom,
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left + inner_padding_left,
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right + inner_padding_right,
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cv2.BORDER_CONSTANT,
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value=255,
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)
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# k = 2*int(min(origin_h, origin_w) // 6)+1
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# k = 7
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# mask_image = cv2.GaussianBlur(mask_image, (k, k), 0)
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return new_img, mask_image
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if __name__ == "__main__":
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from pathlib import Path
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current_dir = Path(__file__).parent.absolute().resolve()
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image_path = "/Users/cwq/code/github/IOPaint/iopaint/tests/bunny.jpeg"
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init_image = cv2.imread(str(image_path))
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init_image, mask_image = expand_image(
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init_image,
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top=0,
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right=0,
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bottom=0,
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left=100,
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softness=20,
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space=20,
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)
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print(mask_image.dtype, mask_image.min(), mask_image.max())
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print(init_image.dtype, init_image.min(), init_image.max())
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mask_image = mask_image.astype(np.uint8)
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init_image = init_image.astype(np.uint8)
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cv2.imwrite("expanded_image.png", init_image)
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cv2.imwrite("expanded_mask.png", mask_image)
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