dvcrn Screenshot Capture
基于 mss + Pillow 的高性能屏幕截图工具，适用于 Windows 桌面自动化、AI 视觉分析等场景。
依赖
uv add mss pillow
# 或
pip install mss pillow
快速开始
作为 Python 模块使用
from scripts.screenshot import ScreenCapture
with ScreenCapture() as sc:
# 获取屏幕分辨率
width, height = sc.screen_size
# 全屏截图 → PIL Image
img = sc.capture()
# 截图保存为文件
sc.capture_to_file("output.png")
# 截图转 base64 (用于发送给视觉 API)
b64 = sc.capture_to_base64(quality=85, fmt="JPEG")
作为 CLI 工具使用
# 查看显示器信息
python scripts/screenshot.py info
# 截图保存到文件
python scripts/screenshot.py capture -o my_screenshot.png
# 截图输出 base64
python scripts/screenshot.py base64 --format JPEG --quality 85
核心 API
| 方法 | 说明 | 返回值 |
|---|---|---|
screen_size |
主显示器 (宽, 高) | tuple[int, int] |
all_screen_size |
虚拟全屏 (宽, 高)，多屏合并 | tuple[int, int] |
monitors |
所有显示器详细信息 | list[dict] |
capture(monitor, region, delay) |
截图 → PIL Image | Image.Image |
capture_to_file(filepath, ...) |
截图 → PNG/JPG 文件 | Path |
capture_to_base64(quality, fmt, ...) |
截图 → base64 字符串 | str |
常见场景
发送截图给 OpenAI 视觉 API
from openai import OpenAI
from scripts.screenshot import ScreenCapture
client = OpenAI()
with ScreenCapture() as sc:
b64 = sc.capture_to_base64(fmt="JPEG", quality=85)
resp = client.chat.completions.create(
model="gpt-4o",
messages=[{
"role": "user",
"content": [
{"type": "text", "text": "描述截图内容"},
{"type": "image_url", "image_url": {
"url": f"data:image/jpeg;base64,{b64}",
"detail": "high",
}},
],
}],
)
截取指定区域
with ScreenCapture() as sc:
region = {"left": 100, "top": 200, "width": 800, "height": 600}
img = sc.capture(region=region)
img.save("region.png")
自动保存每步截图
with ScreenCapture(save_dir="screenshots") as sc:
for i in range(5):
sc.capture_to_base64(step=i) # 自动保存为 screenshots/step_000.jpg 等
详细参考
完整 API 参数说明见 reference.md。