hyperframes_remove_background
shallowtech.kyanitelabs/kinocut · Verify this server
Cut a person or a product out of a still or video. Default model ``u2net_human_seg`` is people-only (talking heads). For products, packaging, jewelry, bottles, ceramics, or any non-person object, pass ``model="birefnet-general"`` (requires ``pip install "kinocut[object-matte]"``). Never falls through to the people model. Call ``info=True`` with no input to list models and cache without downloading. Guide: docs/PRODUCT_MATTE.md.
1 trials · measured today
hyperframes_remove_background scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against tech.kyanitelabs/kinocut, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/1f641170-b53f-46b9-9bdc-60ff95d04c14)