Update files in meta-template except yolov5 files 82/286382/1
authorTae-Young Chung <ty83.chung@samsung.com>
Thu, 5 Jan 2023 02:50:57 +0000 (11:50 +0900)
committerTae-Young Chung <ty83.chung@samsung.com>
Thu, 5 Jan 2023 02:51:06 +0000 (11:51 +0900)
[Issue type] update

yolov5 files will be updated with a next commit.

Change-Id: Iffea7884d6d39f65273529fba9685d6f82043884
Signed-off-by: Tae-Young Chung <ty83.chung@samsung.com>
30 files changed:
meta-template/README.md
meta-template/fd_blazeface_front_128x128.json
meta-template/fd_mobilenet_v1_ssd_postop_300x300.json
meta-template/fld_mediapipe_192x192.json
meta-template/fld_tweakcnn_128x128.json
meta-template/ic_densenet_224x224.json
meta-template/ic_inception_resnet_v2_299x299.json
meta-template/ic_inception_v3_299x299.json
meta-template/ic_inception_v4_299x299.json
meta-template/ic_mnasnet_224x224.json
meta-template/ic_mobilenet_v1_224x224.json
meta-template/ic_mobilenet_v2_224x224.json
meta-template/ic_nasnet_224x224.json
meta-template/ic_resnet_v2_299x299.json
meta-template/ic_squeezenet_224x224.json
meta-template/image-classification-001-meta.json
meta-template/image-classification-quant-001-meta.json
meta-template/od_mobilenet_v1_ssd_postop_300x300.json
meta-template/od_mobilenet_v2_ssd_320x320.json
meta-template/od_yolo_v5_320x320.json
meta-template/pld_cpm_192x192.json
meta-template/pld_mobilenet_v1_posenet_multi_257x257.json
meta-template/pld_movenet_lightning3_192x192.json
meta-template/pld_movenet_lightning3_192x192_int8_quant.json
meta-template/pld_movenet_lightning4_192x192.json
meta-template/pld_movenet_lightning4_192x192_int8_quant.json
meta-template/pld_movenet_thunder3_256x256.json
meta-template/pld_movenet_thunder3_256x256_int8_quant.json
meta-template/pld_movenet_thunder4_256x256.json
meta-template/pld_movenet_thunder4_256x256_int8_quant.json

index 4614406e3d01cc218b0e8f60651b73c9e93f84b7..2fd250ae521970c34a74f8ba88ec49d176dce6cd 100644 (file)
@@ -30,15 +30,14 @@ The Meta file consists of 1) inputmetadata and 2) outputmetadata. For example, a
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "dense_3/Softmax",
+                "name" : ["dense_3/Softmax"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
 ```
@@ -61,7 +60,7 @@ In the classification meta file, the `inputmetadata` includes
 The `outputmetadata` includes
 `score` which has information of postprocess to get score such as
 
-- `name`: name to an output tensor for score
+- `name`: names to output tensors for score
 - `index`: index to get score from the output tensor
 - `top_number`: the top number of outputs
 - `threshold` : threshold to cut ouputs under the `threshold` value
@@ -88,9 +87,9 @@ A meta file, however, for classification with quantized model is shown below.
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "MobilenetV1/Predictions/Reshape_1",
+                "name" : ["MobilenetV1/Predictions/Reshape_1"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
@@ -102,7 +101,6 @@ A meta file, however, for classification with quantized model is shown below.
                     }
                 ]
             }
-        ]
     }
 }
 
index 545e101c9f9d273d1872b4d7c26c480bde1a9459..b6c0fa8f8c5edd9188563c4de8e6e4b50e7699b0 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "classificators",
+                "name" : ["classificators"],
                 "index" : [-1, -1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
                 "score_type" : "SIGMOID"
-            }
-        ],
-        "box" : [
+            },
+        "box" :
             {
-                "name" : "regressors",
+                "name" : ["regressors"],
                 "index" : [-1, -1, 1],
                 "box_type" : "ORIGIN_CENTER",
                 "box_order" : [1, 0, 3, 2],
@@ -70,6 +69,5 @@
                     }
                 }
             }
-        ]
     }
 }
index 887071e5ecbc2dc261f228905b37bf7590e18229..86b7b3c456de676c8b2b506fcfaca116ccb6e8e4 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "TFLite_Detection_PostProcess:2",
+                "name" : ["TFLite_Detection_PostProcess:2"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
                 "score_type" : "NORMAL"
-            }
-        ],
-        "box" : [
+            },
+        "box" :
             {
-               "name" : "TFLite_Detection_PostProcess",
+               "name" : ["TFLite_Detection_PostProcess"],
                "index" : [-1, -1, 1],
                "box_type" : "ORIGIN_LEFTTOP",
                "box_order" : [1, 0, 3, 2],
                "box_coordinate" : "RATIO",
                "decoding_type": "BYPASS"
-            }
-        ],
+            },
         "label" : [
             {
                 "name" : "TFLite_Detection_PostProcess:1",
index ee7f63c85bf3c4eaff3967ff419a9071ccee1666..6ff0696fc324495f0b7dc8578286667c4919ff94 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "conv2d_30",
+                "name" : ["conv2d_30"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.3,
                 "score_type" : "SIGMOID"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "conv2d_20",
index 0f2148c8249931d25819aba6efa65de5305f5ae2..2084df2516e85820cdce028f2eb19e4c580979cc 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "fanet8ss_inference/fully_connected_1/Sigmoid",
+                "name" : ["fanet8ss_inference/fully_connected_1/Sigmoid"],
                 "index" : [-1, -1, -1, -1],
                 "top_number" : 1,
                 "threshold" : 0.0,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "fanet8ss_inference/fully_connected_1/Sigmoid",
index 68ee0e0259c30b2ea65fb98b4ac6afbf1559be2f..d9c59dd7dcb8e864cec254006e4d95e5b3efaa8b 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "softmax_tensor",
+                "name" : ["softmax_tensor"],
                 "index" : [-1, 1],
                 "top_number" : 5,
-                "threshold" : 0.6,
+                "threshold" : 0.0,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index 14f8b495805a30355b37a77b406daba39fb56cb6..6ebf26221b36666ebe92c237eee184ef7f2209a3 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "InceptionResnetV2/AuxLogits/Logits/BiasAdd",
+                "name" : ["InceptionResnetV2/AuxLogits/Logits/BiasAdd"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.6,
                 "score_type" : "SIGMOID"
             }
-        ]
     }
 }
index 5dab9d11fb684841a278c545ef7072c7d7484bd2..efef0eff87a91144325206dd419895c14785a642 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "InceptionV3/Predictions/Reshape_1",
+                "name" : ["InceptionV3/Predictions/Reshape_1"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.6,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index cf3cd7e12b03c1b6df13ece9ab3f0add0c1b8810..4d8af3d0b251cb99cd1fad102d944df1cf290025 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "InceptionV4/Logits/Predictions",
+                "name" : ["InceptionV4/Logits/Predictions"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.6,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index 276a1eb6a365f65f98f91073b2f8445a1f228446..6f5be9447be7e1877d9e0777217703e9788c5c8e 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "output",
+                "name" : ["output"],
                 "index" : [-1, 1],
                 "top_number" : 5,
-                "threshold" : 0.6,
+                "threshold" : 0.0,
                 "score_type" : "SIGMOID"
             }
-        ]
     }
 }
index 5d7f436b98696a77bbcf227c8698851ec0170141..04d5cf9adb004f63413a9f8f0114a7cb8e83d8dc 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "MobilenetV1/Predictions/Reshape_1",
+                "name" : ["MobilenetV1/Predictions/Reshape_1"],
                 "index" : [-1, 1],
                 "top_number" : 5,
-                "threshold" : 0.6,
+                "threshold" : 0.0,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index ccec8f9257afebfb2103a5e2b791d1f72f03b571..0dc4c02d75c7b231b1150ee29758c757a6234215 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "MobilenetV2/Predictions/Reshape_1",
+                "name" : ["MobilenetV2/Predictions/Reshape_1"],
                 "index" : [-1, 1],
                 "top_number" : 5,
-                "threshold" : 0.6,
+                "threshold" : 0.01,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index d26e6e6126dcd915271046e6f6c51b8718702a57..ef2f3a8d4d1f73bde3b6ac640bb8e8d7b0b5dcef 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "final_layer/predictions",
+                "name" : ["final_layer/predictions"],
                 "index" : [-1, 1],
                 "top_number" : 5,
-                "threshold" : 0.6,
+                "threshold" : 0.0,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index 5bf1e691d3743827b06acebd4d61055764e1a996..fe85306bcb47f8792aea92dfe08f333cc0159dbe 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "output",
+                "name" : ["output"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.6,
                 "score_type" : "SIGMOID"
             }
-        ]
     }
 }
index 10339cd15776be6e43de6fedfad717cec7395c19..7586b086591364695c035bc0e3929f642e45751b 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "softmax_tensor",
+                "name" : ["softmax_tensor"],
                 "index" : [-1, 1],
                 "top_number" : 5,
-                "threshold" : 0.3,
+                "threshold" : 0.0,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index 9da626920ccbe7ac86ab371587f8105df5792f83..474062e6dfc1e6faef7085319c32e428fc623fe8 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "dense_3/Softmax",
+                "name" : ["dense_3/Softmax"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
                 "score_type" : "NORMAL"
             }
-        ]
     }
 }
index e8d2f9e8acdbf5301687451ca4f481182935a644..9b5cc10aa4f2df0caaa960dc9266dc83b49c3d5e 100644 (file)
@@ -13,9 +13,9 @@
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "MobilenetV1/Predictions/Reshape_1",
+                "name" : ["MobilenetV1/Predictions/Reshape_1"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
@@ -27,6 +27,5 @@
                     }
                 ]
             }
-        ]
     }
 }
index 887071e5ecbc2dc261f228905b37bf7590e18229..86b7b3c456de676c8b2b506fcfaca116ccb6e8e4 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "TFLite_Detection_PostProcess:2",
+                "name" : ["TFLite_Detection_PostProcess:2"],
                 "index" : [-1, 1],
                 "top_number" : 5,
                 "threshold" : 0.3,
                 "score_type" : "NORMAL"
-            }
-        ],
-        "box" : [
+            },
+        "box" :
             {
-               "name" : "TFLite_Detection_PostProcess",
+               "name" : ["TFLite_Detection_PostProcess"],
                "index" : [-1, -1, 1],
                "box_type" : "ORIGIN_LEFTTOP",
                "box_order" : [1, 0, 3, 2],
                "box_coordinate" : "RATIO",
                "decoding_type": "BYPASS"
-            }
-        ],
+            },
         "label" : [
             {
                 "name" : "TFLite_Detection_PostProcess:1",
index 281e7fcf47f34482dd451429e1ea552e8b0d7b65..b8de7d2d79ef789b9663ba74c3f869a3f325be80 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "raw_outputs/class_predictions",
+                "name" : ["raw_outputs/class_predictions"],
                 "index" : [-1, -1, 1],
                 "top_number" : 5,
                 "threshold" : 0.6,
                 "score_type" : "SIGMOID"
-            }
-        ],
-        "box" : [
+            },
+        "box" :
             {
-                "name" : "raw_outputs/box_encodings",
+                "name" : ["raw_outputs/box_encodings"],
                 "index" : [-1, -1, 1],
                 "box_type" : "ORIGIN_CENTER",
                 "box_order" : [1, 0, 3, 2],
@@ -70,6 +69,5 @@
                     }
                 }
             }
-        ]
     }
 }
index 84793b7d395928d41fe1c7bb303c78677a7b8320..41f027518155db4c6d02355de09962528183a650 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "Identity:0",
+                "name" : ["Identity:0"],
                 "index" : [-1, -1, 1],
                 "top_number" : 5,
                 "threshold" : 0.4,
                 "score_type" : "NORMAL"
-            }
-        ],
-        "box" : [
+            },
+        "box" :
             {
-                "name" : "Identity:0",
+                "name" : ["Identity:0"],
                 "index" : [-1, -1, 1],
                 "box_type" : "ORIGIN_CENTER",
                 "box_order" : [0, 1, 2, 3],
@@ -54,6 +53,5 @@
                     }
                 }
             }
-        ]
     }
 }
index 1b243784bbdff5651995d0e111fb2282c9b0b8c7..a6718d5e0547a27dfa4b4a6b9f58108da207d668 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "Convolutional_Pose_Machine/stage_5_out",
+                "name" : ["Convolutional_Pose_Machine/stage_5_out"],
                 "index" : [-1, 1, 1, 1],
                 "top_number" : 1 ,
                 "threshold" : 0.3,
                 "score_type" : "NORMAL"
             }
-        ],
+        ,
         "landmark" : [
             {
                 "name" : "Convolutional_Pose_Machine/stage_5_out",
index 8fe48f06c70962d62ed87568406801cf4be2abb1..f9bb128adc98a9f099fe9930d1d1fdcc29d8476d 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "MobilenetV1/heatmap_2/BiasAdd",
+                "name" : ["MobilenetV1/heatmap_2/BiasAdd"],
                 "index" : [-1, 1, 1, 1],
                 "top_number" : 1,
                 "threshold" : 0.65,
                 "score_type" : "SIGMOID"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "MobilenetV1/heatmap_2/BiasAdd",
index f40c6fff9e4cc085257501d051dffe64e8ae26bf..b88b67018cf3ea4282d3604de66f48f53e173922 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "Identity:0",
+                "name" : ["Identity:0"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.5,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "Identity:0",
index f40c6fff9e4cc085257501d051dffe64e8ae26bf..b88b67018cf3ea4282d3604de66f48f53e173922 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "Identity:0",
+                "name" : ["Identity:0"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.5,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "Identity:0",
index bcbf9d0c62a2c8d42b3a564d65d9a37ef755f878..94014914a393cee5bd14d3360d4ec00820184ed8 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "StatefulPartitionedCall_0:0",
+                "name" : ["StatefulPartitionedCall_0:0"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.5,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "StatefulPartitionedCall_0:0",
index bcbf9d0c62a2c8d42b3a564d65d9a37ef755f878..73ba052b5a70b2f463c66d993885d818c3427218 100644 (file)
@@ -25,7 +25,7 @@
     {
         "score" : [
             {
-                "name" : "StatefulPartitionedCall_0:0",
+                "name" : ["StatefulPartitionedCall_0:0"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.5,
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     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "Identity:0",
+                "name" : ["Identity:0"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.5,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "Identity:0",
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@@ -25,7 +25,7 @@
     {
         "score" : [
             {
-                "name" : "Identity:0",
+                "name" : ["Identity:0"],
                 "index" : [-1, -1, -1, 1],
                 "top_number" : 1,
                 "threshold" : 0.5,
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     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "StatefulPartitionedCall:0",
+                "name" : ["StatefulPartitionedCall:0"],
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                 "top_number" : 1,
                 "threshold" : 0.5,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "StatefulPartitionedCall:0",
index d28d5c73fe053ebc076860edbdbc87b5765b2cd4..96791de9441397cefcecf87bae0d43b66280e6d5 100644 (file)
     },
     "outputmetadata" :
     {
-        "score" : [
+        "score" :
             {
-                "name" : "StatefulPartitionedCall:0",
+                "name" : ["StatefulPartitionedCall:0"],
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                 "top_number" : 1,
                 "threshold" : 0.5,
                 "score_type" : "NORMAL"
-            }
-        ],
+            },
         "landmark" : [
             {
                 "name" : "StatefulPartitionedCall:0",