Results for “camera”

Use when implementing cameras — smooth follow, screen shake, camera zones, and transitions for 2D and 3D

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Use when using the Phantom Camera addon — PhantomCamera2D/3D with priority-based switching, follow and look-at modes, and tween transitions

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Expert patterns for migrating 2D games to 3D including node type conversions, camera systems (third-person, first-person, orbit), physics layer migration, sprite-to-model art pipeline, and control scheme adaptations. Use when porting 2D projects to 3D or adding 3D elements. Trigger keywords: CharacterBody2D to CharacterBody3D, Area2D to Area3D, Camera2D to Camera3D, Vector2 to Vector3, collision_layer migration, sprite to MeshInstance3D, 2D to 3D conversion.

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Expert patterns for simplifying 3D games to 2D including dimension reduction strategies, 2.5D fake-depth, isometric ports, camera flattening, physics conversion, 3D-to-sprite art pipeline, and control simplification. Use when porting 3D to 2D, building 2.5D / isometric / fake-depth gameplay, creating 2D versions for mobile, or prototyping. Trigger keywords: CharacterBody3D to CharacterBody2D, Camera3D to Camera2D, Vector3 to Vector2, flatten Z-axis, 2.5D, isometric, fake depth, Y-sort, simulated Z, orthogonal projection, 3D to sprite conversion, performance optimization.

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Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or is working with [img] reference-based image generation. Covers distance & size shots, camera angles, and camera movement keywords optimized for AI image models (Soul 2.0, Nano Banana, Seedream, GPT Image, Flux, etc.).

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Cinematic camera work in Blender including framing, lenses, composition, camera animation, and shot language beyond basic rendering setup via MCP.

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Use when the user drops or points at a local talking-head video and wants the kinetic supers + rapid camera reposition prompt for video-to-video AI (one real take turned into split-second camera snaps that lock off, with bold motion-graphics text synced to the speech). Triggers on /kinetic-multicam, "kinetic supers", "kinetic typography video", a dropped .mp4 plus a motion-graphics-text + camera request. PT examples for reliability, "faz o prompt de kinetic supers desse vídeo", "gera supers cinéticos com cortes de câmera", "bota motion graphics e câmera nesse take".

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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.

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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".

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

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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

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

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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.

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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.

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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.

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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.

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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".

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Control the Unreal Engine editor to build scenes, place objects, adjust lighting and materials, and frame camera shots. The skill guides inspection, incremental edits, visual checks, saving, and producing screenshots or renders.

• Building and dressing a 3D level
• Adjusting lighting for a specific mood
• Framing camera shots and producing renders

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.

• 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.

• 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.

• 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.

• 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.

• 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.

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