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README.md

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+---
+license: mit
+tags:
+- esrgan
+- realesrgan
+- ncnn
+- upscaling
+- super-resolution
+- image-processing
+- computer-vision
+pipeline_tag: image-to-image
+library_name: ncnn
+model-index:
+- name: Real-ESRGAN-x2plus-NCNN
+  results:
+  - task:
+      type: image-to-image
+    dataset:
+      name: General Image Dataset
+      type: custom
+    metrics:
+    - name: PSNR
+      type: psnr
+      value: "benchmark needed"
+    - name: SSIM
+      type: ssim
+      value: "benchmark needed"
+---
+
 # Real-ESRGAN x2plus NCNN Model
 
 This repository contains the Real-ESRGAN x2plus model converted to NCNN format for efficient inference, particularly suitable for 2x upscaling of non-anime content.
@@ -47,4 +76,23 @@ The original Real-ESRGAN model was released under the MIT License. Please respec
 
 ## Conversion Notes
 
-This model was converted from the original ONNX format to NCNN format to enable efficient inference in NCNN-compatible applications. The conversion was done using the onnx2ncnn tool from the ncnn framework.
+This model was converted from the original ONNX format to NCNN format to enable efficient inference in NCNN-compatible applications. The conversion was done using the onnx2ncnn tool from the ncnn framework.
+
+## How to Use
+
+To use this model with NCNN-compatible applications:
+
+```bash
+# Example usage with Video2X
+video2x --ncnn-param realesrgan_x2plus.param --ncnn-bin realesrgan_x2plus.bin --input input.mp4 --output output.mp4
+
+# Or with other NCNN-based tools that support Real-ESRGAN models
+```
+
+## Training Data
+
+This model was trained on general image datasets to optimize for realistic photo upscaling. The original training data was not included in this repository due to size constraints.
+
+## Evaluation
+
+The model has been tested qualitatively on various image types and shows good performance on non-anime content. Quantitative benchmarks (PSNR, SSIM) would need to be calculated separately based on your specific use case.

tts-mcp.log

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+2026-03-22T17:36:33.913Z - ---------------------------------------
+2026-03-22T17:36:33.916Z - MCPサーバーを初期化しています...
+2026-03-22T17:36:33.916Z - 設定: モデル=tts-1, 音声=alloy, フォーマット=mp3
+2026-03-22T17:36:33.919Z - MCPサーバーが起動しました