sanjayk9

Corpus Hub contributor since 2026-10-22

sanjayk9's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

4files

326lines

★ 91,319GitHub stars on repo

Totals across every corpus @sanjayk9 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the opencv corpus

opencv/opencv: Open Source Computer Vision Library

Look up how opencv implements c-plus-plus, computer-vision, deep-learning, with answers cited to file and line.
Reuse a worked example: the commit “support bias and key_padding_mask in com.microsoft MultiHe…” (4 files · C++).
Answer from opencv's real C++ source instead of memory (AI, prompts and agents).

Example questions

How does opencv implement c-plus-plus?
What does modules/dnn do in opencv?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository opencv/opencv with XERJ (https://hub.xerj.org/corpus/opencv--opencv).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/opencv/opencv opencv && git -C opencv checkout 78a5bba29d04736cff90f7f60d1a0d9c3aa1ff89
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./opencv --url http://127.0.0.1:9200 --prefix opencv --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: Apache-2.0. Keep the copyright notice and credit the authors.

corpus opencv--opencv · AI, prompts and agents
Related corpora: flatbuffers, cereal, TymurShashok/Image2ASCII, kornia/kornia
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 91,319

opencv/opencv

78a5bba29d dnn(onnx): support bias and key_padding_mask in com.microsoft MultiHe…

selected commit: 4 files · 326 lines · C++ · modules/dnn

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus opencv--opencvAIApache-2.0opencvc-plus-pluscomputer-visiondeep-learningimage-processing agreed 2026-10-22

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/sanjayk9/badge.svg)](https://hub.xerj.org/contributors/sanjayk9)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.