'camera' 검색 결과

Dùng khi viết hoặc sửa prompt tạo video/ảnh AI (Veo 3, Google Flow, Kling, Runway, Sora, Midjourney, Hailuo, Luma): từ vựng chuẩn về góc máy, chuyển động camera, ánh sáng, bố cục, phong cách, màu, cảm xúc công thức ghép prompt, và bài học thực chiến về lỗi model AI hay gặp. Use when writing or fixing AI video/image prompts — cinematic camera angles, camera movement, lighting, composition, style, color grading, mood, a prompt formula, and real-world lessons on common AI video model failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user has 2+ video / audio recordings of the same event captured by different devices (cameras, phones, separate audio recorders) and wants them aligned to a single common timeline. Outputs only a lightweight `.sync.json` sidecar per input — original files are never re-encoded. Triggers — "多机位同步", "对齐这几个机位", "match camera timelines", "sync these angles", "audio drift between cameras", "separate audio recorder", "Riverside / Zoom recording that needs to line up".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

VisionCamera v4+ - photo/video capture, QR/barcode scanning, real-time frame processors, zoom/focus/exposure, HDR, location metadata, format selection

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when adding multimedia to PyQt/PySide6 apps - audio and video playback with QMediaPlayer, camera capture with QCamera and QMediaCaptureSession, audio/video recording with QMediaRecorder, GStreamer backend setup, or codec and platform compatibility issues

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Unity Cinemachine camera system patterns including virtual cameras, blending, and state-driven cameras.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement, review, or improve photo picking, camera capture, and media handling in iOS apps using PhotoKit and AVFoundation. Use when working with PhotosPicker, PHPickerViewController, camera capture sessions (AVCaptureSession), photo library access, image loading and display, video recording, or media permissions. Also use when selecting photos from the library, taking pictures, recording video, processing images, or handling photo/camera privacy permissions in Swift apps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Control motorized camera docks and enable intelligent subject tracking using DockKit. Use when discovering DockKit-compatible accessories, implementing camera subject tracking for faces or bodies, controlling dock motors for pan and tilt, configuring framing behavior, setting regions of interest, or building video apps with automatic camera tracking.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Camera cinematography: production-level lookAt, composition, focal choices, path. Use when implementing, reviewing or testing camera cinematography for React, Vite, Next.js or Perfect_AI projects.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Gets actor and level 3D bounding boxes and projects them into a camera image as 2D boxes — the dataset-annotation workflow. Lists box geometry, draws 3D boxes in the world via debug, or captures one camera frame and writes an annotated PNG plus a JSON of 2D boxes for matching actors. Use when the user asks to "get bounding boxes", "draw boxes around the cars", "project boxes onto the camera", or "generate a detection dataset / annotations".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Spawns and attaches sensors on a running CARLA server — cameras (rgb/depth/semantic/instance/optical-flow/normals), lidar, radar, IMU, GNSS, collision/lane-invasion/obstacle — to the ego or any actor, with a mount transform and blueprint attributes (resolution, fov, sensor_tick, lidar range/points, …). Also sets up native ROS 2 publishing (--ros to enable_for_ros, --ros-name/--ros-frame-id topic and TF naming) and prints the topics the sensor will publish. Use when the user asks to "add a camera/lidar/sensor", "put a dashcam on the ego", "attach a depth camera", "mount a sensor", or "publish a sensor to ROS". Prints the sensor id; read its data with the read-sensor skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Unreal Engine 편집기로 물체를 배치하고 조명, 재질, 카메라 구도를 조정합니다. 장면 상태와 시각적 결과를 확인하고 스크린샷이나 렌더를 출력합니다.

• 3D 레벨 구성과 물체 배치
• 장면 분위기에 맞는 조명 조정
• 카메라 구도 설정과 렌더 출력

Generate videos from structured prompts describing subjects, visual style, camera work, and other scene details. The workflow creates English JSON prompts and runs a Python script, with optional reference images to guide the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a scene idea into a video
• Generate a video guided by a reference image
• Specify visual style and camera movement

Review HTTP response headers and restrict browser features an application does not need, such as camera, microphone, and location access. Guide Permissions-Policy settings that limit what attackers could use if the site is compromised.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review security headers before a release
• Disable unused camera and microphone features
• Check feature restrictions for third-party iframes

Add a 3D card carousel to a HyperFrames video. Rounded cuboids enter from the right, rotate in sequence, pause on a featured card, and exit left, with 40 variables for content, geometry, lighting, and camera settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Presenting multiple cards in a 3D carousel
• Pausing on a featured card
• Replacing card content with JSON

Add a ten-second HyperFrames scene featuring a single feature card orbiting a sphere made of dots. Customize the title, description, accent color, and orbit angle while retaining the supplied camera movement and animation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Introducing a product feature with a moving card
• Adding a ten-second scene to a HyperFrames video
• Matching a feature card's text and color to a project

Build Blender 3D scenes through text commands, adjusting objects, materials, lights, cameras, and animation keyframes. Render the scene or generate preview images to check its appearance, with scene state saved in JSON for later editing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a 3D scene from basic shapes
• Adjust materials, lighting, and camera settings
• Set animation keyframes and frame ranges

Analyze firmware from routers, cameras, and other IoT devices, from extracting internal files to running services in an emulator. Follow a staged workflow to investigate vulnerabilities and reproduce findings with firmware analysis and testing tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing router or camera firmware
• Inspecting firmware update packages
• Running firmware without physical hardware

Build 3D scenes in React from JSON specifications using json-render. The skill covers shapes, lighting, model loading, materials, cameras, and view controls, plus connecting component definitions to their rendering implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a 3D scene from JSON
• Display GLTF or GLB models
• Configure lighting, materials, and shadows

Turn a storyboard segment into a timed prompt for AI video generation. Organizes camera views, visible actions, dialogue, and character references into continuous intervals while preserving the original shots within a single scene.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert a storyboard into a timed video prompt
• Organize camera cuts within a single scene
• Describe emotions through visible actions

Inspect data published by a ROS 2-enabled CARLA server using Docker, without installing ROS 2 locally. Check topic contents and rates, run a sensor-equipped vehicle demo, and view lidar data and supported map markers in RViz2.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether CARLA is publishing ROS 2 data
• Inspecting sensor data contents and publishing rates
• Viewing lidar data and road markers in RViz2

Create product videos from real webpage screenshots using shot recipes and a ready-made template. Combine camera movement, cuts timed to music, and sound effects, or adapt a single shot for use in another video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a website into a product video
• Adapt the Ink Press template to a product
• Create one animated shot from a recipe card

Guides development of apps for viewing USD, a 3D scene format. Selects browser streaming or local implementation references, covering rendering, camera controls, selection, interface layout, and validation while keeping users’ scene files unchanged.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a browser viewer for USD scenes
• Develop a local workstation viewer
• Add camera controls and object selection

Build 2D browser games with Phaser, TypeScript, and Vite. Organize gameplay rules separately from rendering, implement cameras and sprite animation, and add HTML overlays for status displays and menus.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a turn-based grid tactics game
• Creating top-down exploration or side-view action
• Adding status displays and command menus

Design and implement browser game interfaces that keep the playfield visible. Create status displays, menus, and overlays with a consistent visual theme, responsive layouts for desktop and mobile, and clear interaction boundaries for 3D camera controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design status displays that keep the playfield visible
• Create menus that fit the game world
• Adapt game interfaces for desktop and mobile