tripocli v2.0.0:Tripo AI 3D 生成与加工 CLI(面向 Agent 与开发者,纯 Python 标准库、零第三方依赖)
覆盖文生 3D、图生 3D、多视图、批量生成,以及重拓扑、绑定、动画、智能分割、 纹理、PBR、智能 UV、部件补全、格式导出与下载。 代码组织:一个功能一个模块(tripo/features/),入口薄壳 tripocli.py。
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"""智能分割 — split a model into editable semantic parts.
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tripocli segment -p <project_id> --wait
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实测(在页面上真操作抓到的请求):
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POST /v2/studio/operation/ai_segmentation
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{"model_version": "v2.0-20260430", "project_id": "...", "segmentation_granularity": "balanced"}
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⚠️ 关键点:`model_version` 用的是**分割模型自己的版本**(`v2.0-20260430`),
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不是项目自身的模型版本——传项目版本会得到 `1001 Fatal error on the server side`。
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粒度 `segmentation_granularity`:`balanced`(界面「标准」)已实测可用;
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界面另有「粗略 / 精细」两档,但它们的枚举值未确认,需要时用 `--granularity` 传入。
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"""
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from . import _common
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NAME = "segment"
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HELP = "智能分割:把模型拆成可编辑的语义部件"
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# 分割模型自己的版本,实测确认
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SEGMENTATION_MODEL_VERSION = "v2.0-20260430"
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def add_arguments(parser):
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_common.add_op_options(parser, "分割结果保存到该路径(可选)")
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parser.add_argument(
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"--granularity", default="balanced",
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help="分割粒度(默认 balanced)",
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)
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def run(ctx):
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args = ctx.args
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body = {
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"project_id": args.project,
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"model_version": args.model or SEGMENTATION_MODEL_VERSION,
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"segmentation_granularity": args.granularity,
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}
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data = ctx.client.get_data("POST", "/v2/studio/operation/ai_segmentation", body=body)
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return _common.run_operator(ctx, data, output=args.output, wait=args.wait, label="智能分割")
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