| --- |
| pretty_name: CopyrightGPT Video Fingerprint Dataset |
| tags: |
| - video |
| - copyright-detection |
| - perceptual-hashing |
| - fingerprinting |
| task_categories: |
| - video-classification |
| --- |
| |
| # CopyrightGPT |
|
|
| A fast first-draft video dataset + fingerprint store, built to answer one question: |
| **has this video (or something very similar to it) been seen before?** |
|
|
| Each ingested video gets a YouTube-style random id and a folder ("bin") of binary |
| data files. A perceptual hash (pHash) is computed for sampled frames, so a new |
| video can be checked against everything already stored to flag likely duplicates / |
| re-uploads. |
|
|
| This is an early, intentionally simple draft — perceptual-hash frame matching only, |
| no audio fingerprinting yet, no ML model. It works, but it's not production-grade |
| copyright detection. |
|
|
| ## Layout |
|
|
| ``` |
| copyrightgpt-v1/ |
| idgen.py # generates YouTube-style 11-char ids |
| fingerprint.py # samples video frames + computes pHash fingerprints |
| storage.py # reads/writes the dataset/ bin+patch binary format |
| ingest.py # add a video to the dataset |
| match.py # compare a query video's fingerprint against the dataset |
| cli.py # command-line interface (ingest / check / list) |
| hf_sync.py # push this project + dataset/ to this HF repo |
| dataset/ |
| <id>/ |
| main.bin # metadata: id, title, source path, duration, patch count |
| patch-0.dat # frame hashes from the first ingest of this id |
| patch-1.dat, ... # more patches appended on later re-ingests |
| ``` |
|
|
| `main.bin` and `patch-N.dat` are custom binary formats (via Python's `struct`) — |
| not pickle, not JSON — length-prefixed strings and packed `(timestamp, hash)` |
| records. |
|
|
| ## Usage |
|
|
| ```bash |
| pip install -r requirements.txt |
| |
| python cli.py ingest path/to/video.mp4 --title "My Video" |
| python cli.py check path/to/new_video.mp4 |
| python cli.py list |
| ``` |
|
|
| `check` reports a `match_ratio` (fraction of the query video's sampled frames |
| that have a close pHash match somewhere in a stored video) and flags |
| `is_likely_copyrighted: true` above a configurable threshold (default 0.5). |
|
|
| ## Known limitations (first draft) |
|
|
| - Frame matching is unordered nearest-hash — won't reliably catch heavily |
| cropped, rotated, or edited clips, or locate *where* a short clip appears |
| inside a longer video. |
| - No audio fingerprinting. |
| - Single-process; no batching/indexing for large datasets yet. |
|
|
