Mediapipe face_landmark.tflite model conversion error

[psiydown]

Mediapipe model: https://storage.googleapis.com/mediapipe-assets/face_landmark.tflite tflite2onnx face_landmark.tflite face_landmark.onnx Error prompt: Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Traceback (most recent call last): File "N:\anaconda3\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "N:\anaconda3\lib\runpy.py", line 87, in run_code exec(code, run_globals) File "N:\anaconda3\Scripts\tflite2onnx.exe_main.py", line 7, in File "N:\anaconda3\lib\site-packages\tflite2onnx\convert.py", line 58, in cmd_convert convert(args.tflite_path, args.onnx_path) File "N:\anaconda3\lib\site-packages\tflite2onnx\convert.py", line 44, in convert model.convert(explicit_layouts) File "N:\anaconda3\lib\site-packages\tflite2onnx\model.py", line 42, in convert g.convert(explicit_layouts) File "N:\anaconda3\lib\site-packages\tflite2onnx\graph.py", line 102, in convert self._propagateLayout() File "N:\anaconda3\lib\site-packages\tflite2onnx\graph.py", line 173, in _propagateLayout t.transform() File "N:\anaconda3\lib\site-packages\tflite2onnx\tensor.py", line 126, in transform self.shape = self.layout.transform(self.shape) File "N:\anaconda3\lib\site-packages\tflite2onnx\layout.py", line 27, in transform output = transform(input, self.source, self.target) File "N:\anaconda3\lib\site-packages\tflite2onnx\layout.py", line 16, in transform transfrom_axis = [input[p] for p in perm] File "N:\anaconda3\lib\site-packages\tflite2onnx\layout.py", line 16, in transfrom_axis = [input[p] for p in perm] IndexError: list index out of range

@zhenhuaw-me Can you give me any help? Thank you

[Kinbon]

Mediapipe model: https://storage.googleapis.com/mediapipe-assets/face_landmark.tflite tflite2onnx face_landmark.tflite face_landmark.onnx Error prompt: Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Data type float16 not supported/tested yet, the generated model may contain error Traceback (most recent call last): File "N:\anaconda3\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "N:\anaconda3\lib\runpy.py", line 87, in run_code exec(code, run_globals) File "N:\anaconda3\Scripts\tflite2onnx.exe_main.py", line 7, in File "N:\anaconda3\lib\site-packages\tflite2onnx\convert.py", line 58, in cmd_convert convert(args.tflite_path, args.onnx_path) File "N:\anaconda3\lib\site-packages\tflite2onnx\convert.py", line 44, in convert model.convert(explicit_layouts) File "N:\anaconda3\lib\site-packages\tflite2onnx\model.py", line 42, in convert g.convert(explicit_layouts) File "N:\anaconda3\lib\site-packages\tflite2onnx\graph.py", line 102, in convert self._propagateLayout() File "N:\anaconda3\lib\site-packages\tflite2onnx\graph.py", line 173, in _propagateLayout t.transform() File "N:\anaconda3\lib\site-packages\tflite2onnx\tensor.py", line 126, in transform self.shape = self.layout.transform(self.shape) File "N:\anaconda3\lib\site-packages\tflite2onnx\layout.py", line 27, in transform output = transform(input, self.source, self.target) File "N:\anaconda3\lib\site-packages\tflite2onnx\layout.py", line 16, in transform transfrom_axis = [input[p] for p in perm] File "N:\anaconda3\lib\site-packages\tflite2onnx\layout.py", line 16, in transfrom_axis = [input[p] for p in perm] IndexError: list index out of range

@zhenhuaw-me Can you give me any help? Thank you

Excuse me.Have you got any idea about solving this issue?