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This JSON lists the metadata types Lightroom manages for photos, from creator details to location info, detailing each key with its data type and description. The photo:getFormattedMetadata(key) function in the Lightroom SDK retrieves this metadata in a user-friendly format for display, mirroring Lightroom's layout, rather than for parsing.
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"additionalModelInfo": {"type": "string", "description": "Information about the ethnicity and other facets of models in a model-released image."},
"aperture": {"type": "string", "description": "The aperture (for example, 'f/2.8')."},
"artist": {"type": "string", "description": "The artist's name."},
"artworksShown": {"type": "table", "description": "A set of metadata about artwork or an object in the image. Each element in the table is a structure named ArtworkOrObjectDetails, as defined in the IPTC Extension spec."},
"brightnessValue": {"type": "string", "description": "The brightness value."},
"cameraMake": {"type": "string", "description": "The camera manufacturer."},
"cameraModel": {"type": "string", "description": "The camera model."},
"cameraSerialNumber": {"type": "string", "description": "The camera serial number."},
"caption": {"type": "string", "description": "The caption for photo."},
My working notes on figuring out the Monoprice Mini Delta V2 (MPMDv2) web API
Monoprice Mini Delta V2 printer API
My in-progress documentation of the Monoprice Mini Delta V2 printer api. This is traffic captured between the included Wiibuilder application and the printer when you connect to the printer through Wiibuilder and send a gcode file to print.
Shell Script for macOS Automator Workflow to OCR Images to Set Finder Comments
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/usr/local/bin/tesseract "$f" stdout | xargs -0 osascript -e 'on run {f, c}' -e 'tell app "Finder" to set comment of (POSIX file f as alias) to c' -e end "$f"
using raspberry pi camera with ffmpeg (hardware accelerated)
Using Raspberry Pi Camera with ffmpeg
Capturing video from the rpi camera with ffmpeg can vary from less than 5% to 100% of the CPU (rpi zero) depending on ffmpeg using the hardware acceleration or not.
On many github issues one finds the suggestion of using h264_omx codec to use the gpu - but it does not ship with the default ffmpeg on Raspbian.
Instead I found that one can use the v4l2 driver provided by raspbian to get hardware accelerated h264 output. Also setting the video size will save one from using a (cpu) scale filter.
Convenient function for sending python code to shell
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Compiling and running mosh on Dreamhost (Updated - 2025)
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This is an extra annotated, commented illustration example from a Keras tutorial.
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