Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/pinto0309/onnx2json

Exports the ONNX file to a JSON file and JSON dict.
https://github.com/pinto0309/onnx2json

cli converter json model-converter onnx python

Last synced: about 5 hours ago
JSON representation

Exports the ONNX file to a JSON file and JSON dict.

Awesome Lists containing this project

README

        

# onnx2json
Exports the ONNX file to a JSON file and JSON dict. Click here for **[json2onnx](https://github.com/PINTO0309/json2onnx)**.

https://github.com/PINTO0309/simple-onnx-processing-tools

[![PyPI - Downloads](https://img.shields.io/pypi/dm/onnx2json?color=2BAF2B&label=Downloads%EF%BC%8FInstalled)](https://pypistats.org/packages/onnx2json) ![GitHub](https://img.shields.io/github/license/PINTO0309/onnx2json?color=2BAF2B) [![PyPI](https://img.shields.io/pypi/v/onnx2json?color=2BAF2B)](https://pypi.org/project/onnx2json/)



## 1. Setup

### 1-1. HostPC
```bash
### 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
```python
>>> 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
```bash
$ onnx2json \
--input_onnx_file_path NonMaxSuppression.onnx \
--output_json_path NonMaxSuppression.json \
--json_indent 2
```

## 5. In-script Execution
```python
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