RRepoGEO

REPOGEO REPORT · LITE

sherlockchou86/VideoPipe

Default branch master · commit 2a3b461e · scanned 6/26/2026, 5:47:16 AM

GitHub: 2,850 stars · 448 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface sherlockchou86/VideoPipe, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear, concise positioning statement to the README's top

    Why:

    COPY-PASTE FIX
    **VideoPipe is a cross-platform C++ framework for real-time video analysis and structuring, offering an easier-to-use and more portable alternative to NVIDIA DeepStream and Huawei mxVision.**
  • mediumtopics#2
    Add specific topics emphasizing 'framework' and 'pipeline' aspects

    Why:

    CURRENT
    ai, behaviour-analysis, cv, deep-learning, deepstream, face-recognition, feature-extraction, gstreamer, image-classification, image-segmentation, license-plate-recognition, llm, multimodal-large-language-models, object-detection, ollama, openai, opencv, reid, similarity-search, video-analysis
    COPY-PASTE FIX
    ai, behaviour-analysis, computer-vision-framework, cv, deep-learning, deepstream, deepstream-alternative, face-recognition, feature-extraction, gstreamer, image-classification, image-segmentation, license-plate-recognition, llm, multimodal-large-language-models, object-detection, ollama, openai, opencv, real-time-video-analytics, reid, similarity-search, video-analysis, video-pipeline
  • lowabout#3
    Refine the 'About' description for conciseness and keyword focus

    Why:

    CURRENT
    A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: )
    COPY-PASTE FIX
    A cross-platform C++ framework for real-time video analysis and structuring, offering an easy-to-use, portable alternative to DeepStream.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface sherlockchou86/VideoPipe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GStreamer
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. GStreamer · recommended 3×
  2. ONNX Runtime · recommended 3×
  3. OpenCV · recommended 2×
  4. PyTorch · recommended 2×
  5. TensorFlow · recommended 2×
  • CATEGORY QUERY
    Cross-platform framework for real-time video analysis and structuring applications using deep learning?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DeepStream SDK
    2. OpenCV
    3. GStreamer
    4. FFmpeg
    5. PyTorch
    6. TensorFlow
    7. ONNX Runtime
    8. TensorFlow Lite
    9. MediaPipe
    10. Azure Video Analyzer
    11. AWS Kinesis Video Streams
    12. Rekognition
    13. SageMaker

    AI recommended 13 alternatives but never named sherlockchou86/VideoPipe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an easy-to-use, portable alternative to DeepStream for video analytics pipelines?
    you: not recommended
    AI recommended (in order):
    1. OpenCV AI Kit (OAK) with DepthAI
    2. AlwaysAI
    3. NVIDIA Jetson Platform (with JetPack SDK)
    4. PyTorch
    5. TensorFlow
    6. ONNX Runtime
    7. CUDA
    8. cuDNN
    9. GStreamer
    10. Intel OpenVINO Toolkit
    11. OpenCV
    12. MediaPipe (Google)
    13. GStreamer
    14. TensorFlow Lite
    15. ONNX Runtime

    AI recommended 15 alternatives but never named sherlockchou86/VideoPipe. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of sherlockchou86/VideoPipe?
    pass
    AI named sherlockchou86/VideoPipe explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts sherlockchou86/VideoPipe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sherlockchou86/VideoPipe explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo sherlockchou86/VideoPipe solve, and who is the primary audience?
    pass
    AI named sherlockchou86/VideoPipe explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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sherlockchou86/VideoPipe — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite