Media
移除视频中的隔行伪影,将隔行视频转换为逐行扫描
用三种语言从你的代码中调用此工具。
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/video-deinterlace' \
-F 'file=@/path/to/videoFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/video-deinterlace' \
-F 'videoFile=/path/to/file.ext' \
-F 'deinterlaceFilter=yadif' \
-F 'mode=send_frame' \
-F 'parity=auto' \
-F 'outputFormat=mp4' \
-F 'keepAudio=true'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/video-deinterlace| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| videoFile | file需先上传 | 是 | — |
| deinterlaceFilter | select | 否 | — |
| mode | select | 否 | — |
| parity | select | 否 | — |
| outputFormat | select | 否 | — |
| keepAudio |
将此工具加入你的 Model Context Protocol 服务,让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置:
{
"mcpServers": {
"elysiatools-video-deinterlace": {
"name": "video-deinterlace",
"description": "移除视频中的隔行伪影,将隔行视频转换为逐行扫描",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=video-deinterlace",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后,列出已开放的工具:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用,参数由其参数表构建:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "video-deinterlace",
"arguments": {
"videoFile": "https://example.com/file.ext",
"deinterlaceFilter": "yadif",
"mode": "send_frame",
"parity": "auto",
"outputFormat": "mp4",
"keepAudio": true
}
}
}| checkbox |
| 否 |
| 保留音轨 |
文件结果
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}有问题或反馈?请联系 [email protected]