RRepoGEO

REPOGEO REPORT · LITE

AccumulateMore/OpenCV

Default branch main · commit 3de2d1cc · scanned 6/4/2026, 6:12:57 AM

GitHub: 673 stars · 166 forks

AI VISIBILITY SCORE
68 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 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 AccumulateMore/OpenCV, 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 English summary to the top of the README

    Why:

    COPY-PASTE FIX
    # 超级全面的 OpenCV 笔记
    This repository provides comprehensive learning notes and practical guides for mastering OpenCV with Python, based on Tang Yudi's Gupao course. It's designed for students and developers seeking in-depth computer vision education.
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen license text, e.g., MIT License:
    
    ```
    MIT License
    
    Copyright (c) [YEAR] [COPYRIGHT HOLDER]
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
    ```
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Set the homepage URL to the primary video course link: `https://www.bilibili.com/video/BV1YnELzfEFZ`

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
1 / 2
50% of queries surface AccumulateMore/OpenCV
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
PyImageSearch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyImageSearch · recommended 2×
  2. Keras · recommended 2×
  3. TensorFlow · recommended 2×
  4. PyTorch · recommended 2×
  5. OpenCV-Python · recommended 1×
  • CATEGORY QUERY
    Looking for comprehensive learning resources to master computer vision concepts with Python.
    you: not recommended
    AI recommended (in order):
    1. OpenCV-Python
    2. PyImageSearch
    3. PyImageSearch
    4. Keras
    5. TensorFlow
    6. Coursera
    7. deeplearning.ai
    8. fast.ai
    9. fastai
    10. PyTorch
    11. Kaggle Learn

    AI recommended 11 alternatives but never named AccumulateMore/OpenCV. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical guides for image and video analysis using a Python library.
    you: #1
    AI recommended (in order):
    1. OpenCV ← you
    2. scikit-image
    3. Pillow
    4. TensorFlow
    5. Keras
    6. PyTorch
    7. MoviePy
    8. DeepFace
    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 AccumulateMore/OpenCV?
    pass
    AI named AccumulateMore/OpenCV explicitly

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

  • If a team adopts AccumulateMore/OpenCV in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AccumulateMore/OpenCV 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 AccumulateMore/OpenCV solve, and who is the primary audience?
    pass
    AI named AccumulateMore/OpenCV 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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MARKDOWN (README)
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AccumulateMore/OpenCV — 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