Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Despliegue de YOLOv8x con PyTorch para detección de objetos en GPUs AMD ROCm o NVIDIA CUDA, con fallback automático a CPU. Exportación a ONNX (universal), TorchScript, TensorRT (NVIDIA) y OpenVINO (Intel). Benchmark completo de rendimiento: FPS, latencia p50/p95/p99, VRAM, throughput. Validación de precisión mAP@50 y mAP@50:95. Usar cuando necesites ejecutar YOLO en GPU AMD o NVIDIA, exportar modelos para diferentes backends, o benchmarkear detección de objetos. Keywords: yolo, rocm, cuda, pytorch, ultralytics, detection, onnx, benchmark, mi300x
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 4a35fcc66bfa17fea6f037f10ed82125db9ecb615c4de7426fe6b7263f132657
About this listing
- Category
- General
- Reported license
- Apache-2.0
- Listing language (estimated)
- Spanish
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.