Add MobileNet v3 to MLTS am: 73313692ee am: 93de288f3b am: d53b330a82

Original change: https://android-review.googlesource.com/c/platform/test/mlts/models/+/1354605

Change-Id: Ibdd661a03b30aeea2ba51ea8f20421bb4c0dac8d

11 files changed, 172 insertions, 0 deletions

diff --git a/README.txt b/README.txt
index 1072501..c3f24c0 100644
--- a/README.txt
+++ b/README.txt
@@ -109,6 +109,19 @@ https://arxiv.org/abs/1603.03185
 Apache License, Version 2.0
 
 ------------------------------------------------------------------
+- mobilenet_v3-(small_224_0.75_float|small_224_1.0_float|small_224_1.0_uint8|small-minimalistic_224_1.0_float|large_224_0.75_float|large_224_1.0_float|large_224_1.0_uint8|large-minimalistic_224_1.0_float|large-minimalistic_224_1.0_uint8).tflite
+MobileNet TensorFlow Lite models based on
+"Searching for MobileNetV3"
+https://arxiv.org/abs/1905.02244
+Apache License, Version 2.0
+
+Downloaded from
+https://storage.googleapis.com/mobilenet_v3/checkpoints/v3-${variant}.tgz
+on Jun 30 2020.
+See also: https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet
+Golden output generated with ToT TensorFlow (Linux, CPU).
+
+------------------------------------------------------------------
 Input files:
 ------------------------------------------------------------------
 - ssd_mobilenet_v1_coco_*/tarmac.input
diff --git a/assets/mobilenet_v3-large-minimalistic_224_1.0_float.tflite b/assets/mobilenet_v3-large-minimalistic_224_1.0_float.tflite
new file mode 100644
index 0000000..c53e102
--- /dev/null
+++ b/assets/mobilenet_v3-large-minimalistic_224_1.0_float.tflite
diff --git a/assets/mobilenet_v3-large-minimalistic_224_1.0_uint8.tflite b/assets/mobilenet_v3-large-minimalistic_224_1.0_uint8.tflite
new file mode 100644
index 0000000..e822f5c
--- /dev/null
+++ b/assets/mobilenet_v3-large-minimalistic_224_1.0_uint8.tflite
diff --git a/assets/mobilenet_v3-large_224_0.75_float.tflite b/assets/mobilenet_v3-large_224_0.75_float.tflite
new file mode 100644
index 0000000..d14905d
--- /dev/null
+++ b/assets/mobilenet_v3-large_224_0.75_float.tflite
diff --git a/assets/mobilenet_v3-large_224_1.0_float.tflite b/assets/mobilenet_v3-large_224_1.0_float.tflite
new file mode 100644
index 0000000..57be893
--- /dev/null
+++ b/assets/mobilenet_v3-large_224_1.0_float.tflite
diff --git a/assets/mobilenet_v3-large_224_1.0_uint8.tflite b/assets/mobilenet_v3-large_224_1.0_uint8.tflite
new file mode 100644
index 0000000..e4baecb
--- /dev/null
+++ b/assets/mobilenet_v3-large_224_1.0_uint8.tflite
diff --git a/assets/mobilenet_v3-small-minimalistic_224_1.0_float.tflite b/assets/mobilenet_v3-small-minimalistic_224_1.0_float.tflite
new file mode 100644
index 0000000..cc2bc94
--- /dev/null
+++ b/assets/mobilenet_v3-small-minimalistic_224_1.0_float.tflite
diff --git a/assets/mobilenet_v3-small_224_0.75_float.tflite b/assets/mobilenet_v3-small_224_0.75_float.tflite
new file mode 100644
index 0000000..a05fe60
--- /dev/null
+++ b/assets/mobilenet_v3-small_224_0.75_float.tflite
diff --git a/assets/mobilenet_v3-small_224_1.0_float.tflite b/assets/mobilenet_v3-small_224_1.0_float.tflite
new file mode 100644
index 0000000..de0d80e
--- /dev/null
+++ b/assets/mobilenet_v3-small_224_1.0_float.tflite
diff --git a/assets/mobilenet_v3-small_224_1.0_uint8.tflite b/assets/mobilenet_v3-small_224_1.0_uint8.tflite
new file mode 100644
index 0000000..33fe6cd
--- /dev/null
+++ b/assets/mobilenet_v3-small_224_1.0_uint8.tflite
diff --git a/assets/models_list/mobilenet_topk_aosp.json b/assets/models_list/mobilenet_topk_aosp.json
index 60a031b..6198e4e 100644
--- a/assets/models_list/mobilenet_topk_aosp.json
+++ b/assets/models_list/mobilenet_topk_aosp.json
@@ -230,6 +230,165 @@
           "labels": "image_classification/labels.txt",
           "preprocessor": "Inception"
       }
+    },
+    {
+      "name": "mobilenet_v3-small_224_0.75_float_topk_aosp",
+      "modelFile": "mobilenet_v3-small_224_0.75_float",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.60536915
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 4,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-small_224_1.0_float_topk_aosp",
+      "modelFile": "mobilenet_v3-small_224_1.0_float",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.6107383
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 4,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-small-minimalistic_224_1.0_float_topk_aosp",
+      "modelFile": "mobilenet_v3-small-minimalistic_224_1.0_float",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.5885906
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 4,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-large_224_0.75_float_topk_aosp",
+      "modelFile": "mobilenet_v3-large_224_0.75_float",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.63892615
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 4,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-large_224_1.0_float_topk_aosp",
+      "modelFile": "mobilenet_v3-large_224_1.0_float",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.6577181
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 4,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-large-minimalistic_224_1.0_float_topk_aosp",
+      "modelFile": "mobilenet_v3-large-minimalistic_224_1.0_float",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.6375839
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 4,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-small_224_1.0_uint8_topk_aosp",
+      "modelFile": "mobilenet_v3-small_224_1.0_uint8",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.56510067
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 1,
+      "inputScale": 0.007812,
+      "inputZeroPoint": 128.0,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-large_224_1.0_uint8_topk_aosp",
+      "modelFile": "mobilenet_v3-large_224_1.0_uint8",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.61879194
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 1,
+      "inputScale": 0.007812,
+      "inputZeroPoint": 128.0,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
+    },
+    {
+      "name": "mobilenet_v3-large-minimalistic_224_1.0_uint8_topk_aosp",
+      "modelFile": "mobilenet_v3-large-minimalistic_224_1.0_uint8",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.59395975
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 1,
+      "inputScale": 0.007812,
+      "inputZeroPoint": 128.0,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
     }
   ]
 }