Update README.md

README.md

@@ -1,3 +1,84 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+datasets:
+- CSTR-Edinburgh/vctk
+language:
+- en
+---
+Trained with Matcha-TTS - [Github](https://github.com/shivammehta25/Matcha-TTS) | [Paper](https://arxiv.org/abs/2309.03199)
+
+How to Infer see [Github page](https://github.com/akjava/Matcha-TTS-Japanese/tree/main/examples)
+## License
+You must abide by cc-by-4.0 vctk license.
+### Datasets License
+- VCTK Dataset license are cc-by-4.0
+### Tools License
+
+These tools did not effect output license.
+
+- Matcha-TTS - MIT
+- ONNX Simplifier - Apache2.0
+- onnxruntime - MIT
+### Converted model Owner(me)
+I release my output under MIT License.If you want your license ,convert it by yourself
+
+## How to Convert
+### Export Model
+see Matcha-TTS [ONNX export](https://github.com/shivammehta25/Matcha-TTS)
+### simplify model
+```
+from onnxsim import simplify
+import onnx
+
+import argparse
+parser = argparse.ArgumentParser(
+        description="create simplify onnx"
+    )
+parser.add_argument(
+        "--input","-i",
+        type=str,required=True
+    )
+parser.add_argument(
+        "--output","-o",
+        type=str
+    )
+args = parser.parse_args()
+
+src_model_path = args.input
+if args.output == None:
+    dst_model_path = src_model_path.replace(".onnx","_simplify.onnx")
+else:
+    dst_model_path = args.output
+
+
+model = onnx.load(src_model_path)
+model_simp, check = simplify(model)
+
+onnx.save(model_simp, dst_model_path)
+```
+### quantize model
+```
+from onnxruntime.quantization import quantize_dynamic, QuantType
+import argparse
+parser = argparse.ArgumentParser(
+        description="create quantized onnx"
+    )
+parser.add_argument(
+        "--input","-i",
+        type=str,required=True
+    )
+parser.add_argument(
+        "--output","-o",
+        type=str
+    )
+args = parser.parse_args()
+
+src_model_path = args.input
+if args.output == None:
+    dst_model_path = src_model_path.replace(".onnx","_q8.onnx")
+else:
+    dst_model_path = args.output
+    
+# only QUInt8 works well
+quantized_model = quantize_dynamic(src_model_path, dst_model_path, weight_type=QuantType.QUInt8)
+```