本地AI自动整理素材

Deploy local AI via Olloma to automatically add annotations and tags to footage. Automatically detect and organize new footage. Perform duplicate footage checks.


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0.1.11
2026-03-02
85
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Local AI-powered automatic media organization

Installation and Usage Instructions (including: connecting to Ollama + usage of various functions)

Advantages:

Local Ollama inference: Media remains offline, offering better privacy and stronger control;

Default no overwrite: Only completes missing annotations/tags, without disrupting your manual organization;

Multiple entry points: One-click selection of media, batch selection of folders, and automatic monitoring for newly added media;

Duplicate detection: Precise/similar duplicate detection, with manual confirmation before deletion, reducing the risk of accidental deletion;

Controllable tag library: Tag library applies, can be enabled/disabled/customized/synonym convergence, and prompt size is limited;

Undoable: Snapshots are taken before writing back, allowing rollback of the current batch processing;

Running on an M4 chip MacBook Pro, typically processes one image in about 10 seconds. Currently, the focus is mainly on organizing image assets.

The organization results are as follows:

1) Prerequisites

Eagle is installed and can be opened.

Ollama is installed and running (default port 127.0.0.1 (line 11434)).

Check: Run "ollama ps" in the terminal.

The visual model has been downloaded (example qwen3-vl:8b).

Download: Send "ollama pull qwen3-vl:8b" in the ollama dialog box to automatically download the model.

Check: Run ollama list in the terminal.

2) Key Step: How the plugin connects to Ollama (most important)

The plugin accesses the local Ollama via HTTP.

Open the plugin → Settings on the left
Fill in the information as shown in your screenshot:
Ollama Address: http://127.0.0.1:11434
Model: Must be exactly the same as the NAME in the ollama list (e.g., qwen3-vl:8b)
Click Save Settings in the bottom right corner
Check the status bar at the top of the window:
Ollama: Connected indicates a successful connection
If it fails: Check the logs for the specific reason (common issues include incorrect model name / Ollama not starting)

3) Top Switches and Status

Pause: Pauses queue execution (does not empty the queue; resumes execution after restarting)
Dry-run: Only generates results without writing back to Eagle (used for verifying models/tag libraries/rules)
Logs: View runtime logs and error reasons (model not found, request timeout, JSON truncation, etc.)
Bottom left statistics:
Queue: Number of items waiting to be processed
Processing: Number of items currently running
Success/Failure: Cumulative results for this session

4) Left-side Function Pages: Function + Usage

4.1 Overview

Function: View current running status, statistics, and recent results/error overview.
How to use: If you encounter "slow speed/many failures," first check here and the log entry.

4.2 Queue/Task

Function: View all tasks (selected materials/folders/listener triggers), progress, success/failure, and failure retry entry (if any).
How to use:

If a task is stuck or very slow: First check if it is running, then view the task's error details/raw output.

4.3 Selected Materials

Function: Generate comments and tags for your "currently selected materials" in Eagle with one click and write them back.
How to use:

Select one or more materials in Eagle.
Open the plugin. Select the materials.
Click "Generate and Write Back" (It is recommended to verify with Dry-run first).

4.4 Folder Organization

Function: Batch complete comments/tags for your "currently selected folders" in Eagle.
How to use:

Select a folder on the left side of Eagle.
Open the plugin. Folder Organization.
Select whether to recursively organize subfolders (if any) → Start Organization.

4.5 Add Listener

Function: Automatically queues and organizes materials when you add them to Eagle (effective while Eagle is running).

How to use: Simply turn on the switch; it is recommended to import a small batch first to verify stability before keeping it enabled long-term.

4.6 Duplicate Detection

Function: Finds images with "duplicate downloads/similar duplicates" to assist you in manual cleanup.

How to use:

Select range (usually "selected folder")
Start scan
The results will display the addition date and size of each thumbnail, and recommend keeping the larger one.
A delete icon appears on the hover thumbnail → Click → Confirm twice → Delete (follows Eagle's delete/trash can process according to the plugin's current implementation)
Skip: Prevents this item from being prompted again (does not delete the material)

4.7 Tag Library

Function: Manages the "set of tags allowed when generating the model" (effective according to the current library)

How to use:

Search/Enable/Disable tags
Add custom tags (optional category/style)
Match synonym convergence (variants→canonical)
Control the number of enabled tags (too many will slow down inference and increase the probability of JSON truncation)

4.8 Settings

Purpose: Global runtime parameters

Ollama Timeout (seconds): Maximum wait time for a single request; increase if the model is slow.

Concurrency: How many assets can run simultaneously?

1 (Recommended): Most stable

2: Faster but more prone to interruption/more memory usage

Extreme Speed Mode: Prioritizes throughput (usually automatically reduces image size, increases concurrency, and simplifies inference)
Scaling Longest Side: Maximum side length of the image input to the model (smaller is faster, but less detail)

Brand Mode: Whether/how strictly brand-related information is written
Complete to ≥8: Completes the number of tags without overwriting (only increases, never decreases)
Duplicate Detection: Default scan range, similarity threshold, etc.

4.9 Logs

Purpose: Troubleshooting and performance analysis

5) Common Problems

Model not found: The model name in the plugin does not match the ollama list → Fill in the NAME as is

The user aborted a request: High concurrency/request interrupted/manually canceled → Reduce concurrency to 1, or enable Extreme Speed Mode

done=false / JSON Incomplete: Too many tags enabled, prompt too long, or model unstable → Reduce the number of tags enabled, enable speed mode, or change the model.

v0.1.11
2026-03-02

Plugin Release