PlanOpticon

Add local run stats: 13.2h video, 18 recordings, $0.00 cost

lmata 2026-02-18 11:45 trunk
Commit 5f3038a82aec1c1bce1464ee9a7881e832626fe07e22698886cd444b164bc56c
1 file changed +26
+26
--- README.md
+++ README.md
@@ -21,10 +21,36 @@
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- **Batch processing** — Process entire folders of videos with merged knowledge graphs and cross-referencing
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- **Rich output** — Markdown, HTML, PDF reports. Mermaid diagrams, SVG/PNG renderings, JSON manifests
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- **Cloud sources** — Fetch videos from Google Drive and Dropbox shared folders
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- **Checkpoint/resume** — Pipeline resumes from where it left off if interrupted
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- **Screengrab fallback** — When extraction isn't perfect, captures frames with captions — something is always better than nothing
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+
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+## Local Run
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+
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+PlanOpticon runs entirely offline with Ollama — no API keys, no cloud, no cost.
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+
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+> **13.2 hours of video content analyzed, knowledge-graphed, and summarized in ~25 hours of processing time, entirely on local hardware, for free.**
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+
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+18 meeting recordings processed on a single machine using `llava` (vision), `qwen3:30b` (chat), and `whisper-large` (transcription via Apple Silicon GPU):
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+
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+| Metric | Value |
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+|--------|-------|
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+| Recordings | 18 |
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+| Video duration | 13.2 hours |
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+| Processing time | 24.9 hours |
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+| Frames extracted | 1,783 |
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+| API calls (local) | 1,841 |
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+| Tokens processed | 4.87M |
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+| Total cost | **$0.00** |
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+
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+```bash
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+# Fully local analysis — no API keys needed, just Ollama running
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+planopticon analyze -i meeting.mp4 -o ./output \
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+ --provider ollama \
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+ --vision-model llava:latest \
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+ --chat-model qwen3:30b
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+```
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## Quick Start
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```bash
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# Install
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--- README.md
+++ README.md
@@ -21,10 +21,36 @@
21 - **Batch processing** — Process entire folders of videos with merged knowledge graphs and cross-referencing
22 - **Rich output** — Markdown, HTML, PDF reports. Mermaid diagrams, SVG/PNG renderings, JSON manifests
23 - **Cloud sources** — Fetch videos from Google Drive and Dropbox shared folders
24 - **Checkpoint/resume** — Pipeline resumes from where it left off if interrupted
25 - **Screengrab fallback** — When extraction isn't perfect, captures frames with captions — something is always better than nothing
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
27 ## Quick Start
28
29 ```bash
30 # Install
31
--- README.md
+++ README.md
@@ -21,10 +21,36 @@
21 - **Batch processing** — Process entire folders of videos with merged knowledge graphs and cross-referencing
22 - **Rich output** — Markdown, HTML, PDF reports. Mermaid diagrams, SVG/PNG renderings, JSON manifests
23 - **Cloud sources** — Fetch videos from Google Drive and Dropbox shared folders
24 - **Checkpoint/resume** — Pipeline resumes from where it left off if interrupted
25 - **Screengrab fallback** — When extraction isn't perfect, captures frames with captions — something is always better than nothing
26
27 ## Local Run
28
29 PlanOpticon runs entirely offline with Ollama — no API keys, no cloud, no cost.
30
31 > **13.2 hours of video content analyzed, knowledge-graphed, and summarized in ~25 hours of processing time, entirely on local hardware, for free.**
32
33 18 meeting recordings processed on a single machine using `llava` (vision), `qwen3:30b` (chat), and `whisper-large` (transcription via Apple Silicon GPU):
34
35 | Metric | Value |
36 |--------|-------|
37 | Recordings | 18 |
38 | Video duration | 13.2 hours |
39 | Processing time | 24.9 hours |
40 | Frames extracted | 1,783 |
41 | API calls (local) | 1,841 |
42 | Tokens processed | 4.87M |
43 | Total cost | **$0.00** |
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45 ```bash
46 # Fully local analysis — no API keys needed, just Ollama running
47 planopticon analyze -i meeting.mp4 -o ./output \
48 --provider ollama \
49 --vision-model llava:latest \
50 --chat-model qwen3:30b
51 ```
52
53 ## Quick Start
54
55 ```bash
56 # Install
57

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