Show HN: NiceShot AI – The analytics layer competitive games forgot to add
NiceShot_AI: Python Computer Vision Tool NiceShot AI is a Python tool powered by computer vision to analyze gameplay videos. With the integration of cutting-edge tools like YOLO, OpenCV, FFmpeg, and matplotlib, NiceShot AI is designed to automatically detect, track and clip key gameplay events as well as create visual report for gameplay session analysis. Fine-tuned on custom collected & annotated dataset of gameplay videos under CC license.
- ▪NiceShot_AI: Python Computer Vision Tool NiceShot AI is a Python tool powered by computer vision to analyze gameplay videos.
- ▪With the integration of cutting-edge tools like YOLO, OpenCV, FFmpeg, and matplotlib, NiceShot AI is designed to automatically detect, track and clip key gameplay events as well as create visual report for gameplay session analysis.
- ▪Fine-tuned on custom collected & annotated dataset of gameplay videos under CC license.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/karimm-ai/NiceShot_AI |
| Publication time | Tue, 11 Aug 2026 05:18:28 +0000 |
| Retrieval time | 2026-08-11T05:20:44.711Z |
| Last seen | 2026-08-11T05:20:44.711Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 3w6FM-Pmnv3q · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
NiceShot_AI: Python Computer Vision Tool NiceShot AI is a Python tool powered by computer vision to analyze gameplay videos. With the integration of cutting-edge tools like YOLO, OpenCV, FFmpeg, and matplotlib, NiceShot AI is designed to automatically detect, track and clip key gameplay events as well as create visual report for gameplay session analysis. Simple demo showcasing tool results: (https://youtu.be/op1GDREXiOg) Supported Games Call of Duty: Black Ops 7 (2025) --> Still in testing Key events Description Limitations Kill Gun kills Only face-to-face gun kills Medal When a medal earned by the player pops up during gameplay Medal type not detected, only count Death When player gets eliminated during gameplay - Call of Duty: Black Ops 6 (2024) Key events Description Limitations Kill…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.