Awesome
onnx2json
Exports the ONNX file to a JSON file and JSON dict. Click here for json2onnx.
https://github.com/PINTO0309/simple-onnx-processing-tools
<p align="center"> <img src="https://user-images.githubusercontent.com/33194443/170162575-4c3b9b62-a8f4-44a3-9240-856f9abdf460.png" /> </p>1. Setup
1-1. HostPC
### option
$ echo export PATH="~/.local/bin:$PATH" >> ~/.bashrc \
&& source ~/.bashrc
### run
$ pip install -U onnx protobuf \
&& python3 -m pip install -U onnx_graphsurgeon --index-url https://pypi.ngc.nvidia.com \
&& pip install -U onnx2json
1-2. Docker
https://github.com/PINTO0309/simple-onnx-processing-tools#docker
2. CLI Usage
usage:
onnx2json [-h]
-if INPUT_ONNX_FILE_PATH
-oj OUTPUT_JSON_PATH
[-i JSON_INDENT]
optional arguments:
-h, --help
show this help message and exit
-if INPUT_ONNX_FILE_PATH, --input_onnx_file_path INPUT_ONNX_FILE_PATH
Input ONNX model path. (*.onnx)
-oj OUTPUT_JSON_PATH, --output_json_path OUTPUT_JSON_PATH
Output JSON file path (*.json) If not specified, no JSON file is output.
-i JSON_INDENT, --json_indent JSON_INDENT
Number of indentations in JSON. (default=2)
3. In-script Usage
>>> from onnx2json import convert
>>> help(convert)
Help on function convert in module onnx2json.onnx2json:
convert(
input_onnx_file_path: Union[str, NoneType] = '',
onnx_graph: Union[onnx.onnx_ml_pb2.ModelProto, NoneType] = None,
output_json_path: Union[str, NoneType] = '',
json_indent: Union[int, NoneType] = 2
)
Parameters
----------
input_onnx_file_path: Optional[str]
Input onnx file path.
Either input_onnx_file_path or onnx_graph must be specified.
Default: ''
onnx_graph: Optional[onnx.ModelProto]
onnx.ModelProto.
Either input_onnx_file_path or onnx_graph must be specified.
onnx_graph If specified, ignore input_onnx_file_path and process onnx_graph.
output_json_path: Optional[str]
Output JSON file path (*.json) If not specified, no JSON file is output.
Default: ''
json_indent: Optional[int]
Number of indentations in JSON.
Default: 2
Returns
-------
onnx_json: dict
Converted JSON dict.
4. CLI Execution
$ onnx2json \
--input_onnx_file_path NonMaxSuppression.onnx \
--output_json_path NonMaxSuppression.json \
--json_indent 2
5. In-script Execution
from onnx2json import convert
onnx_json = convert(
input_onnx_file_path="NonMaxSuppression.onnx",
output_json_path="NonMaxSuppression.json",
json_indent=2,
)
# or
onnx_json = convert(
onnx_graph=graph,
)
6. Issues
https://github.com/PINTO0309/simple-onnx-processing-tools/issues