coldpass

Tencent/YOLO-Master

GitHub ↗ · How this check works

Per-setup public labels: Linux / Haiku: Works

Static status badge · SVG · read-only JSON. Embed with ![Coldpass status](https://coldpass.dev/badge/Tencent--YOLO-Master.svg).

classificationdetectionmoesegmentationyolo

Works

Only older checks are saved; no current product test.

Answers apply to each recorded setup, revision and operation. Earlier observations remain in Run details.

Tested on Linux
PlatformHaikuLuna
Linuxyes

Linux / Haiku 5.5: yes · Oct 17, 2026 · a82f9a50c3b5 · claude-code / 2.1.300 (Claude Code)
Recorded operation: /tmp/ym-venv/bin/python -I /tmp/ym-check/build_check.py

Needs keys or browser
None seen
Setup time
3 min 18 s to install
Issue
none found in recorded check

Safety: no observations were recorded for the selected revision. Functional results do not establish a safety result.

Repair history and test corrections
Run details

Haiku 5.5

Native agent · Checked operation passed

Checked operation /tmp/ym-venv/bin/python -I /tmp/ym-check/build_check.py

Agent-reported scope: Build YOLO-Master-n detection model from ultralytics/cfg/models/master/v0_1/det/yolo-master-n.yaml via the documented Python API (YOLO(...).info()); prints 442 layers / 7,546,984 parameters and 'OK_BUILD DetectionModel'.

Run details
run
Tencent--YOLO-Master-claude-haiku-5-5-1792211515684577039
date
Oct 17, 2026
time to working
240.3s
product hosting / execution
Local command in the guest
recorded operation scope
product operation
model
claude-haiku-5-5
agent / version
claude-code / 2.1.300 (Claude Code)
platform
linux
reported cost
$0.007011
Recorded source
https://github.com/Tencent/YOLO-Master
Tool transport
mcp-assigned-vm
Test version
readme-3691798994c35a4248db43f18225b5f420ad493d7ca35c5ea2e8f1d0d89e7c20
revision
a82f9a50c3b56710b85698ff2a1da08ef3be06ab
What the agent did

Build YOLO-Master-n detection model from ultralytics/cfg/models/master/v0_1/det/yolo-master-n.yaml via the documented Python API (YOLO(...).info()); prints 442 layers / 7,546,984 parameters and 'OK_BUILD DetectionModel'.

python3 -m venv /tmp/ym-venv (after apt-get install python3.12-venv)
pip install --index-url https://download.pytorch.org/whl/cpu torch torchvision
pip install -r requirements.txt
pip install -e .  (ultralytics 8.4.101 editable)
apt-get install libgl1 libglib2.0-0 (cv2 import needed libGL.so.1)
python -I /tmp/ym-check/build_check.py (YOLO(yolo-master-n.yaml).info())

No product verdict. Run record.

No product verdict. Run record.

No product verdict. Run record.