{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "lotvulture-lotvulture--detect-spaces-in-one-image-via-cloud-api",
 "repo": "lotvulture/lotvulture",
 "repo_url": "https://github.com/lotvulture/lotvulture",
 "repo_slug": "lotvulture-lotvulture",
 "title": "Detect parking spaces in one image through the cloud API",
 "page_title": "How to detect parking spaces in one image through the cloud API with Lotvulture",
 "summary": "Send one lot photo to the Developer Cloud API and get space detections back.",
 "who": "A developer building a parking feature into their own app who does not want to run on-prem infrastructure.",
 "problem": "Running the on-prem engine adds infrastructure work when only occasional detection is needed.",
 "outcome": "Parking space detection results for a single image, billed per image.",
 "steps": [
  "Get an API key from the Lot Vulture Developer Cloud API page at https://www.lotvulture.com/developer.html.",
  "Prepare a lot image file, such as parking_lot.jpg, and the space polygon coordinates for each region.",
  "Run `curl -X POST \"https://api.lotvulture.com/v1/detect\" -H \"Authorization: Bearer YOUR_API_KEY\" -F \"image=@parking_lot.jpg\" -F 'rois=[[[120,340],[250,340],[260,490],[110,490]]]'` and replace YOUR_API_KEY and the file name. (inferred, check the README)",
  "Read the response and match each detection to its region."
 ],
 "agent_prompt": "Using the Lot Vulture Developer Cloud API described in the repo lotvulture/lotvulture README, send the image <image_path> with the region coordinates <rois_json> to https://api.lotvulture.com/v1/detect using the API key in the environment variable <api_key_env>. Report the detection result for each region and verify that the number of results equals the number of regions sent.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The README documents the API call and its per-image price but not its response format, so check the response shape against the live endpoint before parsing it.",
 "category": "Work and operations",
 "tags": [
  "Work and operations"
 ],
 "lang": "python",
 "requirements": [
  "One or more IP, RTSP, or snapshot-capable cameras with a reachable stream URL or snapshot endpoint",
  "A Windows PC for the native installer, or a Linux host with Docker for the container",
  "Access to the Releases page or the ghcr.io container image",
  "A Developer Cloud API key from lotvulture.com, only if using the cloud API use case"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "The API key is billed per image at $0.02 each, so keep it in an environment variable or secret store and never commit it to a repo."
  }
 ],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/lotvulture-lotvulture/detect-spaces-in-one-image-via-cloud-api/",
 "md": "https://dedupedai.com/use-cases/lotvulture-lotvulture/detect-spaces-in-one-image-via-cloud-api/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/lotvulture-lotvulture--detect-spaces-in-one-image-via-cloud-api.json",
 "api_version": "v1"
}