Merge pull request ARM-software#4 from ARM-software/add_testing_data

Added testing data for models, minor tweak to README

.gitattributes

@@ -2,3 +2,4 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.data* filter=lfs diff=lfs merge=lfs -text
 *.index filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text

models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/definition.yaml

@@ -16,6 +16,8 @@ network:
 network_parameters:
   input_nodes:
   - description: Single 224x224 RGB image with UINT8 values between 0 and 255
+    example_input:
+      path: models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/testing_input/input
     name: input
     shape:
     - 1
@@ -28,6 +30,7 @@ network_parameters:
     shape:
     - 1
     - 1001
+    test_output_path: models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/testing_output/output
 operators:
   TensorFlow Lite:
   - ADD

models/keyword_spotting/cnn_large/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/cnn_large/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/cnn_large/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - CONV_2D

models/keyword_spotting/cnn_medium/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/cnn_medium/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/cnn_medium/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - CONV_2D

models/keyword_spotting/cnn_small/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/cnn_small/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/cnn_small/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - CONV_2D

models/keyword_spotting/dnn_large/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 250)
+    example_input:
+      path: models/keyword_spotting/dnn_large/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/dnn_large/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - DEQUANTIZE

models/keyword_spotting/dnn_medium/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 250)
+    example_input:
+      path: models/keyword_spotting/dnn_medium/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/dnn_medium/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - DEQUANTIZE

models/keyword_spotting/dnn_small/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 250)
+    example_input:
+      path: models/keyword_spotting/dnn_small/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/dnn_small/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - DEQUANTIZE

models/keyword_spotting/ds_cnn_large/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/ds_cnn_large/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/ds_cnn_large/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - AVERAGE_POOL_2D

models/keyword_spotting/ds_cnn_medium/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - AVERAGE_POOL_2D

models/keyword_spotting/ds_cnn_small/tflite_int8/definition.yaml

@@ -17,6 +17,8 @@ network:
 network_parameters:
   input_nodes:
   - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/ds_cnn_small/tflite_int8/testing_input/input
     name: input
     shape:
     - 1
@@ -27,6 +29,7 @@ network_parameters:
     shape:
     - 1
     - 12
+    test_output_path: models/keyword_spotting/ds_cnn_small/tflite_int8/testing_output/Identity
 operators:
   TensorFlow Lite:
   - AVERAGE_POOL_2D

models/object_detection/ssd_mobilenet_v1/tflite_fp32/definition.yaml

@@ -19,6 +19,8 @@ network:
 network_parameters:
   input_nodes:
   - description: A float input image.
+    example_input:
+      path: models/object_detection/ssd_mobilenet_v1/tflite_fp32/testing_input/normalized_input_image_tensor
     name: normalized_input_image_tensor
     shape:
     - 1
@@ -30,15 +32,19 @@ network_parameters:
       (y1, x1, y2, x2) scaled from 0 to 1.
     name: TFLite_Detection_PostProcess
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_fp32/testing_output/TFLite_Detection_PostProcess
   - description: COCO detection classes for each object. 0=person, 10=fire hydrant.
     name: TFLite_Detection_PostProcess:1
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_fp32/testing_output/TFLite_Detection_PostProcess:1
   - description: Detection scores for each object.
     name: TFLite_Detection_PostProcess:2
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_fp32/testing_output/TFLite_Detection_PostProcess:2
   - description: The number of objects detected in each image.
     name: TFLite_Detection_PostProcess:3
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_fp32/testing_output/TFLite_Detection_PostProcess:3
 operators:
   TensorFlow Lite:
   - CONCATENATION

models/object_detection/ssd_mobilenet_v1/tflite_uint8/README.md

@@ -30,7 +30,7 @@ Dataset: Coco Validation 2017
 ## Network Inputs
 | Input Node Name |  Shape  | Description |
 |-----------------|---------|-------------|
-| image_tensor | (1, 300, 300, 3) | Input RGB images (a range of 0-255 per RGB channel). |
+| normalized_input_image_tensor | (1, 300, 300, 3) | Input RGB images (a range of 0-255 per RGB channel). |
 
 ## Network Outputs
 | Output Node Name |  Shape  | Description |

models/object_detection/ssd_mobilenet_v1/tflite_uint8/definition.yaml

@@ -19,7 +19,9 @@ network:
 network_parameters:
   input_nodes:
   - description: Input RGB images (a range of 0-255 per RGB channel).
-    name: image_tensor
+    example_input:
+      path: models/object_detection/ssd_mobilenet_v1/tflite_uint8/testing_input/normalized_input_image_tensor
+    name: normalized_input_image_tensor
     shape:
     - 1
     - 300
@@ -29,15 +31,19 @@ network_parameters:
   - description: The y1, x1, y2, x2 coordinates of the bounding boxes for each detection
     name: TFLite_Detection_PostProcess
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_uint8/testing_output/TFLite_Detection_PostProcess
   - description: The class of each detection
     name: TFLite_Detection_PostProcess:1
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_uint8/testing_output/TFLite_Detection_PostProcess:1
   - description: The probability score for each classification
     name: TFLite_Detection_PostProcess:2
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_uint8/testing_output/TFLite_Detection_PostProcess:2
   - description: A vector containing a number corresponding to the number of detections
     name: TFLite_Detection_PostProcess:3
     shape: []
+    test_output_path: models/object_detection/ssd_mobilenet_v1/tflite_uint8/testing_output/TFLite_Detection_PostProcess:3
 operators:
   TensorFlow Lite:
   - CONCATENATION

models/object_detection/yolo_v3_tiny/tflite_fp32/definition.yaml

@@ -18,6 +18,8 @@ network:
 network_parameters:
   input_nodes:
   - description: A 416x416 floating point input image.
+    example_input:
+      path: models/object_detection/yolo_v3_tiny/tflite_fp32/testing_input/inputs
     name: inputs
     shape:
     - 1
@@ -33,6 +35,7 @@ network_parameters:
     - 1
     - 2535
     - 85
+    test_output_path: models/object_detection/yolo_v3_tiny/tflite_fp32/testing_output/output_boxes
 operators:
   TensorFlow Lite:
   - ADD