diff --git a/README.md b/README.md
index 56ad451..bc38f10 100644
--- a/README.md
+++ b/README.md
@@ -29,6 +29,7 @@ Work in progress now.
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TF-TRT (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> EdgeTPU (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> CoreML (NHWC)
+  - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> ONNX (NHWC)
 
 - Caffe (NCHW) -> OpenVINO (NCHW) ->
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TFLite (NHWC)
@@ -36,6 +37,7 @@ Work in progress now.
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TF-TRT (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> EdgeTPU (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> CoreML (NHWC)
+  - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> ONNX (NHWC)
 
 - MXNet (NCHW) -> OpenVINO (NCHW) ->
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TFLite (NHWC)
@@ -43,6 +45,7 @@ Work in progress now.
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TF-TRT (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> EdgeTPU (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> CoreML (NHWC)
+  - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> ONNX (NHWC)
 
 - Keras (NHWC) -> OpenVINO (NCHW・Optimized) ->
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TFLite (NHWC)
@@ -50,6 +53,7 @@ Work in progress now.
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> TF-TRT (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> EdgeTPU (NHWC)
   - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> CoreML (NHWC)
+  - -> **`openvino2tensorflow`** -> Tensorflow/Keras (NHWC) -> ONNX (NHWC)
 
 - saved_model -> **`saved_model_to_pb`** -> pb
 
@@ -150,7 +154,7 @@ Work in progress now.
 |84|DepthToSpace|DepthToSpace||
 |85|Sqrt|sqrt||
 |86|SquaredDifference|squared_difference||
-|87|FakeQuantize|subtract, multiply, round, greater, where, less_equal, add|experimental|
+|87|FakeQuantize|subtract, multiply, round, greater, where, less_equal, add||
 |88|Result|Identity|Output|
 
 ## 4. Setup
@@ -192,6 +196,7 @@ usage: openvino2tensorflow [-h] --model_path MODEL_PATH
                            [--output_tftrt OUTPUT_TFTRT]
                            [--output_coreml OUTPUT_COREML]
                            [--output_edgetpu OUTPUT_EDGETPU]
+                           [--output_onnx OUTPUT_ONNX]
                            [--replace_swish_and_hardswish REPLACE_SWISH_AND_HARDSWISH]
                            [--optimizing_hardswish_for_edgetpu OPTIMIZING_HARDSWISH_FOR_EDGETPU]
                            [--replace_prelu_and_minmax REPLACE_PRELU_AND_MINMAX]
@@ -255,6 +260,8 @@ optional arguments:
                         coreml model output switch
   --output_edgetpu OUTPUT_EDGETPU
                         edgetpu model output switch
+  --output_onnx OUTPUT_ONNX
+                        onnx model output switch
   --replace_swish_and_hardswish REPLACE_SWISH_AND_HARDSWISH
                         Replace swish and hard-swish with each other
   --optimizing_hardswish_for_edgetpu OPTIMIZING_HARDSWISH_FOR_EDGETPU
@@ -294,6 +301,7 @@ usage: saved_model_to_tflite [-h] --saved_model_dir_path
                              [--output_tftrt OUTPUT_TFTRT]
                              [--output_coreml OUTPUT_COREML]
                              [--output_edgetpu OUTPUT_EDGETPU]
+                             [--output_onnx OUTPUT_ONNX]
 
 optional arguments:
   -h, --help            show this help message and exit
@@ -349,6 +357,8 @@ optional arguments:
                         coreml model output switch
   --output_edgetpu OUTPUT_EDGETPU
                         edgetpu model output switch
+  --output_onnx OUTPUT_ONNX
+                        onnx model output switch
 ```
 ### 5-3. pb to saved_model convert
 ```bash
diff --git a/openvino2tensorflow/openvino2tensorflow.py b/openvino2tensorflow/openvino2tensorflow.py
index db94fba..0030deb 100644
--- a/openvino2tensorflow/openvino2tensorflow.py
+++ b/openvino2tensorflow/openvino2tensorflow.py
@@ -113,6 +113,7 @@ def convert(model,
             output_tftrt,
             output_coreml,
             output_edgetpu,
+            output_onnx,
             replace_swish_and_hardswish,
             optimizing_hardswish_for_edgetpu,
             replace_prelu_and_minmax,
@@ -342,7 +343,6 @@ def parse_json(jsonfile_path):
     del added_key_list
 
     layer_id_port_dict = get_num_of_outputs_per_layer_id(tf_edges)
-    # print(layer_id_port_dict)
 
     # for i in tf_edges.items():
     #     print(i)
@@ -396,15 +396,6 @@ def parse_json(jsonfile_path):
                         else:
                             tf_layers_dict[layer_id] = decodedwgt
 
-                    # #############################################################
-                    # if layer_id == '1123':
-                    #     tf_layers_dict[layer_id] = np.array([1,2,513,513])
-                    # elif layer_id == '1125':
-                    #     tf_layers_dict[layer_id] = np.array([0,3,1,2])
-                    # else:
-                    #     tf_layers_dict[layer_id] = decodedwgt
-                    # #############################################################
-
         ### Convolution
         elif layer.attrib['type'] == 'Convolution':
             # port0 = [int(sdim.text) for sdim in layer.find('input')[0]]
@@ -2202,6 +2193,23 @@ def input_fn():
             print('Please install edgetpu_compiler according to the following website.')
             print('https://coral.ai/docs/edgetpu/compiler/#system-requirements')
 
+    # ONNX convert
+    if output_onnx:
+        import subprocess
+        try:
+            print(f'{Color.REVERCE}ONNX convertion started{Color.RESET}', '=' * 61)
+            result = subprocess.check_output(['python3',
+                                              '-m', 'tf2onnx.convert',
+                                              '--saved-model', model_output_path,
+                                              '--output', f'{model_output_path}/model_float32.onnx'],
+                                              stderr=subprocess.PIPE).decode('utf-8')
+            print(result)
+            print(f'{Color.GREEN}ONNX convertion complete!{Color.RESET} - {model_output_path}/tfjs_model_float32')
+        except subprocess.CalledProcessError as e:
+            print(f'{Color.RED}ERROR:{Color.RESET}', e.stderr.decode('utf-8'))
+            import traceback
+            traceback.print_exc()
+
 def main():
     parser = argparse.ArgumentParser()
     parser.add_argument('--model_path', type=str, required=True, help='input IR model path (.xml)')
@@ -2227,6 +2235,7 @@ def main():
     parser.add_argument('--output_tftrt', type=bool, default=False, help='tftrt model output switch')
     parser.add_argument('--output_coreml', type=bool, default=False, help='coreml model output switch')
     parser.add_argument('--output_edgetpu', type=bool, default=False, help='edgetpu model output switch')
+    parser.add_argument('--output_onnx', type=bool, default=False, help='onnx model output switch')
     parser.add_argument('--replace_swish_and_hardswish', type=bool, default=False, help='Replace swish and hard-swish with each other')
     parser.add_argument('--optimizing_hardswish_for_edgetpu', type=bool, default=False, help='Optimizing hardswish for edgetpu')
     parser.add_argument('--replace_prelu_and_minmax', type=bool, default=False, help='Replace prelu and minimum/maximum with each other')
@@ -2260,6 +2269,7 @@ def main():
     output_tftrt = args.output_tftrt
     output_coreml = args.output_coreml
     output_edgetpu = args.output_edgetpu
+    output_onnx = args.output_onnx
     replace_swish_and_hardswish = args.replace_swish_and_hardswish
     optimizing_hardswish_for_edgetpu = args.optimizing_hardswish_for_edgetpu
     replace_prelu_and_minmax = args.replace_prelu_and_minmax
@@ -2279,7 +2289,8 @@ def main():
         not output_tfjs and \
         not output_tftrt and \
         not output_coreml and \
-        not output_edgetpu:
+        not output_edgetpu and \
+        not output_onnx:
         print('Set at least one of the output switches (output_*) to true.')
         sys.exit(-1)
 
@@ -2306,6 +2317,12 @@ def main():
             print('\'coremltoos\' is not installed. Please run the following command to install \'coremltoos\'.')
             print('pip3 install --upgrade coremltools')
             sys.exit(-1)
+    if output_onnx:
+        if not 'tf2onnx' in package_list:
+            print('\'tf2onnx\' is not installed. Please run the following command to install \'tf2onnx\'.')
+            print('pip3 install --upgrade tf2onnx')
+            sys.exit(-1)
+
     if output_integer_quant_tflite or output_full_integer_quant_tflite:
         if not 'tensorflow-datasets' in package_list:
             print('\'tensorflow-datasets\' is not installed. Please run the following command to install \'tensorflow-datasets\'.')
@@ -2339,7 +2356,7 @@ def main():
             string_formulas_for_normalization,
             calib_ds_type, ds_name_for_tfds_for_calibration, split_name_for_tfds_for_calibration,
             download_dest_folder_path_for_the_calib_tfds, tfds_download_flg,
-            output_tfjs, output_tftrt, output_coreml, output_edgetpu,
+            output_tfjs, output_tftrt, output_coreml, output_edgetpu, output_onnx,
             replace_swish_and_hardswish, optimizing_hardswish_for_edgetpu, replace_prelu_and_minmax,
             yolact, weight_replacement_config, debug, debug_layer_number)
     print(f'{Color.REVERCE}All the conversion process is finished!{Color.RESET}', '=' * 45)
diff --git a/openvino2tensorflow/saved_model_to_tflite.py b/openvino2tensorflow/saved_model_to_tflite.py
index 3d79756..94c2fbd 100644
--- a/openvino2tensorflow/saved_model_to_tflite.py
+++ b/openvino2tensorflow/saved_model_to_tflite.py
@@ -52,7 +52,8 @@ def convert(saved_model_dir_path,
             output_tfjs,
             output_tftrt,
             output_coreml,
-            output_edgetpu):
+            output_edgetpu,
+            output_onnx):
 
     print(f'{Color.REVERCE}Start conversion process from saved_model to tflite{Color.RESET}', '=' * 38)
 
@@ -293,6 +294,23 @@ def input_fn():
             import traceback
             traceback.print_exc()
 
+    # ONNX convert
+    if output_onnx:
+        import subprocess
+        try:
+            print(f'{Color.REVERCE}ONNX convertion started{Color.RESET}', '=' * 61)
+            result = subprocess.check_output(['python3',
+                                              '-m', 'tf2onnx.convert',
+                                              '--saved-model', model_output_dir_path,
+                                              '--output', f'{model_output_dir_path}/model_float32.onnx'],
+                                              stderr=subprocess.PIPE).decode('utf-8')
+            print(result)
+            print(f'{Color.GREEN}ONNX convertion complete!{Color.RESET} - {model_output_dir_path}/tfjs_model_float32')
+        except subprocess.CalledProcessError as e:
+            print(f'{Color.RED}ERROR:{Color.RESET}', e.stderr.decode('utf-8'))
+            import traceback
+            traceback.print_exc()
+
 def main():
     parser = argparse.ArgumentParser()
     parser.add_argument('--saved_model_dir_path', type=str, required=True, help='Input saved_model dir path')
@@ -316,6 +334,7 @@ def main():
     parser.add_argument('--output_tftrt', type=bool, default=False, help='tftrt model output switch')
     parser.add_argument('--output_coreml', type=bool, default=False, help='coreml model output switch')
     parser.add_argument('--output_edgetpu', type=bool, default=False, help='edgetpu model output switch')
+    parser.add_argument('--output_onnx', type=bool, default=False, help='onnx model output switch')
 
     args = parser.parse_args()
     saved_model_dir_path = args.saved_model_dir_path
@@ -348,6 +367,7 @@ def main():
     output_tftrt = args.output_tftrt
     output_coreml = args.output_coreml
     output_edgetpu = args.output_edgetpu
+    output_onnx = args.output_onnx
 
     if not output_no_quant_float32_tflite and \
        not output_weight_quant_tflite and \
@@ -356,7 +376,8 @@ def main():
        not output_tfjs and \
        not output_tftrt and \
        not output_coreml and \
-       not output_edgetpu:
+       not output_edgetpu and \
+       not output_onnx:
         print('Set at least one of the output switches (output_*) to true.')
         sys.exit(-1)
 
@@ -383,6 +404,11 @@ def main():
             print('\'coremltoos\' is not installed. Please run the following command to install \'coremltoos\'.')
             print('pip3 install --upgrade coremltools')
             sys.exit(-1)
+    if output_onnx:
+        if not 'tf2onnx' in package_list:
+            print('\'tf2onnx\' is not installed. Please run the following command to install \'tf2onnx\'.')
+            print('pip3 install --upgrade tf2onnx')
+            sys.exit(-1)
 
     if output_integer_quant_tflite or output_full_integer_quant_tflite:
         if not 'tensorflow-datasets' in package_list:
@@ -426,7 +452,8 @@ def main():
             output_tfjs,
             output_tftrt,
             output_coreml,
-            output_edgetpu)
+            output_edgetpu,
+            output_onnx)
     print(f'{Color.REVERCE}All the conversion process is finished!{Color.RESET}', '=' * 45)
 
 if __name__ == "__main__":
diff --git a/setup.py b/setup.py
index 0afc896..9bbac30 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,7 @@
     setup(
         name="openvino2tensorflow",
         scripts=scripts,
-        version="1.7.0",
+        version="1.8.0",
         description="This script converts the OpenVINO IR model to Tensorflow's saved_model, tflite, h5 and pb. in (NCHW) format",
         long_description=long_description,
         long_description_content_type="text/markdown",