تشغيل أي مهارة في Manus بنقرة واحدة

computer-vision

النجوم١

التفرعات١

آخر تحديث٢ أبريل ٢٠٢٦ في ٠٣:٢٢

""Design and implement computer vision pipelines for construction safety. Use when: configuring YOLOv8, PPE detection, object detection training, annotation pipelines, data augmentation for construction, bounding box optimization, multi-class safety detection, video analysis, temporal smoothing, detection post-processing, mAP evaluation, construction dataset handling.""

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

تشغيل في Manus

المصدر

AlexiosBluffMara

AlexiosBluffMara/Duchess

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

تشغيل في Manus

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

علماء البياناتمهن الحاسوب والرياضيات·SOC 15-2051

SKILL.md

readonly

name	computer-vision
description
Design and implement computer vision pipelines for construction safety. Use when	configuring YOLOv8, PPE detection, object detection training, annotation pipelines, data augmentation for construction, bounding box optimization, multi-class safety detection, video analysis, temporal smoothing, detection post-processing, mAP evaluation, construction dataset handling.""

المزيد من هذا المستودع

نفس المستودع

edge-inference

AlexiosBluffMara/Duchess

""Optimize and deploy ML inference on edge devices. Use when: running LiteRT on Snapdragon XR1, configuring GPU/NNAPI delegates, optimizing memory for 6GB RAM constraint, reducing inference latency below 50ms, deploying Gemma 4 on phone, running MLX on Apple Silicon, profiling thermal throttling, battery-aware inference scheduling.""

2026-04-021

model-quantization

AlexiosBluffMara/Duchess

""Quantize and optimize ML models for edge deployment across all four tiers. Use when: converting models to LiteRT, ONNX export, INT8/FP16 quantization, GGUF conversion, MLX format, BitNet 1-bit quantization, model size reduction, inference optimization, Adreno GPU delegate, NNAPI configuration, profiling model performance on target hardware.""

2026-04-021

name

AlexiosBluffMara/Duchess

Create or update a skill and mirror it to both .github/skills/ and .claude/skills/

2026-04-021

ml-model-training

AlexiosBluffMara/Duchess

""Fine-tune and train ML models using Unsloth Dynamic QLoRA for the Duchess platform. Use when: fine-tuning Gemma 4, training Qwen2.5-VL, creating domain adapters (Safety, Spanish, Engineering, Electrical), configuring QLoRA hyperparameters, running training on RTX 5090, dataset preparation for construction safety, model evaluation against benchmarks.""

2026-04-021

android-development

AlexiosBluffMara/Duchess

""Build Android apps for Vuzix M400 glasses and companion smartphones. Use when: developing Kotlin Android code, AOSP without Google Play Services, Vuzix SDK integration, companion phone app, BLE communication, camera pipeline, sideloading APKs, foreground services, Jetpack Compose UI, Android Gradle builds, min SDK 33 for glasses, min SDK 30 for phone.""

2026-04-021

ar-interface-design

AlexiosBluffMara/Duchess

""Design AR interfaces for Vuzix M400 glasses and companion phone app. Use when: designing heads-up display layouts, 640x360 OLED optimization, voice UI commands, safety alert presentation, glove-compatible interactions, bilingual UI layout, notification design, wearable ergonomics, OLED power optimization, accessibility for construction workers.""

2026-04-021