we do not use framework for intel model name

FliiteCorp · Mar 7, 2020 · 534de86 · 534de86
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diff --git a/...1/description/icnet-camvid-ava-tf-0001.md → ...0001/description/icnet-camvid-ava-0001.md b/...1/description/icnet-camvid-ava-tf-0001.md → ...0001/description/icnet-camvid-ava-0001.md
@@ -1,12 +1,12 @@
-# icnet-camvid-ava-tf-0001
+# icnet-camvid-ava-0001
 
 ## Use Case and High-Level Description
 
 A trained model of ICNet for fast semantic segmentation, trained on the CamVid\* dataset from scratch using the TensorFlow\* framework. For more details about the original floating point model, check out the [paper](https://arxiv.org/abs/1704.08545).
 
 The model input is a blob that consists of a single image of "1x3x720x960" in BGR order. The pixel values are integers in the [0, 255] range.
 
-The model output for `icnet-camvid-ava-tf-0001` is the predicted class index of each input pixel belonging to one of the 12 classes of the CamVid dataset.
+The model output for `icnet-camvid-ava-0001` is the predicted class index of each input pixel belonging to one of the 12 classes of the CamVid dataset.
 
 ## Specification
 

diff --git a/...ion/icnet-camvid-ava-tf-sparse-30-0001.md → ...iption/icnet-camvid-ava-sparse-30-0001.md b/...ion/icnet-camvid-ava-tf-sparse-30-0001.md → ...iption/icnet-camvid-ava-sparse-30-0001.md
@@ -1,12 +1,12 @@
-# icnet-camvid-ava-tf-sparse-30-0001
+# icnet-camvid-ava-sparse-30-0001
 
 ## Use Case and High-Level Description
 
 A trained model of ICNet for fast semantic segmentation, trained on the CamVid\* dataset from scratch using the TensorFlow\* framework. The trained model has 30% sparsity (ratio of 0's within all the convolution kernel weights). For more details about the original floating point model, check out the [paper](https://arxiv.org/abs/1704.08545).
 
 The model input is a blob that consists of a single image of "1x3x720x960" in BGR order. The pixel values are integers in the [0, 255] range.
 
-The model output for `icnet-camvid-ava-tf-sparse-30-0001` is the predicted class index of each input pixel belonging to one of the 12 classes of the CamVid dataset.
+The model output for `icnet-camvid-ava-sparse-30-0001` is the predicted class index of each input pixel belonging to one of the 12 classes of the CamVid dataset.
 
 ## Specification
 

diff --git a/...ion/icnet-camvid-ava-tf-sparse-60-0001.md → ...iption/icnet-camvid-ava-sparse-60-0001.md b/...ion/icnet-camvid-ava-tf-sparse-60-0001.md → ...iption/icnet-camvid-ava-sparse-60-0001.md
@@ -1,12 +1,12 @@
-# icnet-camvid-ava-tf-sparse-60-0001
+# icnet-camvid-ava-sparse-60-0001
 
 ## Use Case and High-Level Description
 
 A trained model of ICNet for fast semantic segmentation, trained on the CamVid\* dataset from scratch using the TensorFlow\* framework. The trained model has 60% sparsity (ratio of 0's within all the convolution kernel weights). For more details about the original floating point model, check out the [paper](https://arxiv.org/abs/1704.08545).
 
 The model input is a blob that consists of a single image of "1x3x720x960" in BGR order. The pixel values are integers in the [0, 255] range.
 
-The model output for `icnet-camvid-ava-tf-sparse-60-0001` is the predicted class index of each input pixel belonging to one of the 12 classes of the CamVid dataset.
+The model output for `icnet-camvid-ava-sparse-60-0001` is the predicted class index of each input pixel belonging to one of the 12 classes of the CamVid dataset.
 
 ## Specification
 

diff --git a/models/intel/index.md b/models/intel/index.md
@@ -110,9 +110,9 @@ detect areas with complex shape (for example, free space on the road).
 | [road-segmentation-adas-0001](./road-segmentation-adas-0001/description/road-segmentation-adas-0001.md)                                        | 4.770                | 0.184      |
 | [semantic-segmentation-adas-0001](./semantic-segmentation-adas-0001/description/semantic-segmentation-adas-0001.md)                            | 58.572               | 6.686      |
 | [unet-camvid-onnx-0001](./unet-camvid-onnx-0001/description/unet-camvid-onnx-0001.md)                                                          | 260.1                | 31.03      |
-| [icnet-camvid-ava-tf-0001](./icnet-camvid-ava-tf-0001/description/icnet-camvid-ava-tf-0001.md)                                                   | 151.82                | 25.45       |
-| [icnet-camvid-ava-tf-sparse-30-0001](./icnet-camvid-ava-tf-sparse-30-0001/description/icnet-camvid-ava-tf-sparse-30-0001.md)                     | 151.82                | 25.45       |
-| [icnet-camvid-ava-tf-sparse-60-0001](./icnet-camvid-ava-tf-sparse-60-0001/description/icnet-camvid-ava-tf-sparse-60-0001.md)                     | 151.82                | 25.45       |
+| [icnet-camvid-ava-0001](./icnet-camvid-ava-0001/description/icnet-camvid-ava-0001.md)                                                   | 151.82                | 25.45       |
+| [icnet-camvid-ava-sparse-30-0001](./icnet-camvid-ava-sparse-30-0001/description/icnet-camvid-ava-sparse-30-0001.md)                     | 151.82                | 25.45       |
+| [icnet-camvid-ava-sparse-60-0001](./icnet-camvid-ava-sparse-60-0001/description/icnet-camvid-ava-sparse-60-0001.md)                     | 151.82                | 25.45       |
 
 ## Instance Segmentation Models
 

diff --git a/...cker/configs/icnet-camvid-ava-tf-0001.yml → ...checker/configs/icnet-camvid-ava-0001.yml b/...cker/configs/icnet-camvid-ava-tf-0001.yml → ...checker/configs/icnet-camvid-ava-0001.yml
@@ -1,30 +1,30 @@
 models:
-  - name: icnet-camvid-ava-tf-0001
+  - name: icnet-camvid-ava-0001
 
     launchers:
       - framework: dlsdk
         tags:
           - FP32
-        model: intel/icnet-camvid-ava-tf-0001/FP32/icnet-camvid-ava-tf-0001.xml
-        weights: intel/icnet-camvid-ava-tf-0001/FP32/icnet-camvid-ava-tf-0001.bin
+        model: intel/icnet-camvid-ava-0001/FP32/icnet-camvid-ava-0001.xml
+        weights: intel/icnet-camvid-ava-0001/FP32/icnet-camvid-ava-0001.bin
         adapter: segmentation
       - framework: dlsdk
         tags:
           - FP32-INT8
-        model: intel/icnet-camvid-ava-tf-0001/FP32-INT8/icnet-camvid-ava-tf-0001.xml
-        weights: intel/icnet-camvid-ava-tf-0001/FP32-INT8/icnet-camvid-ava-tf-0001.bin
+        model: intel/icnet-camvid-ava-0001/FP32-INT8/icnet-camvid-ava-0001.xml
+        weights: intel/icnet-camvid-ava-0001/FP32-INT8/icnet-camvid-ava-0001.bin
         adapter: segmentation
       - framework: dlsdk
         tags:
           - FP16
-        model: intel/icnet-camvid-ava-tf-0001/FP16/icnet-camvid-ava-tf-0001.xml
-        weights: intel/icnet-camvid-ava-tf-0001/FP16/icnet-camvid-ava-tf-0001.bin
+        model: intel/icnet-camvid-ava-0001/FP16/icnet-camvid-ava-0001.xml
+        weights: intel/icnet-camvid-ava-0001/FP16/icnet-camvid-ava-0001.bin
         adapter: segmentation
       - framework: dlsdk
         tags:
           - FP16-INT8
-        model: intel/icnet-camvid-ava-tf-0001/FP16-INT8/icnet-camvid-ava-tf-0001.xml
-        weights: intel/icnet-camvid-ava-tf-0001/FP16-INT8/icnet-camvid-ava-tf-0001.bin
+        model: intel/icnet-camvid-ava-0001/FP16-INT8/icnet-camvid-ava-0001.xml
+        weights: intel/icnet-camvid-ava-0001/FP16-INT8/icnet-camvid-ava-0001.bin
         adapter: segmentation
     datasets:
       - name: CamVid

diff --git a/tools/accuracy_checker/configs/icnet-camvid-ava-sparse-30-0001.yml b/tools/accuracy_checker/configs/icnet-camvid-ava-sparse-30-0001.yml
@@ -0,0 +1,48 @@
+models:
+  - name: icnet-camvid-ava-sparse-30-0001
+
+    launchers:
+      - framework: dlsdk
+        tags:
+          - FP32
+        model: intel/icnet-camvid-ava-sparse-30-0001/FP32/icnet-camvid-ava-sparse-30-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-30-0001/FP32/icnet-camvid-ava-sparse-30-0001.bin
+        adapter: segmentation
+      - framework: dlsdk
+        tags:
+          - FP32-INT8
+        model: intel/icnet-camvid-ava-sparse-30-0001/FP32-INT8/icnet-camvid-ava-sparse-30-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-30-0001/FP32-INT8/icnet-camvid-ava-sparse-30-0001.bin
+        adapter: segmentation
+      - framework: dlsdk
+        tags:
+          - FP16
+        model: intel/icnet-camvid-ava-sparse-30-0001/FP16/icnet-camvid-ava-sparse-30-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-30-0001/FP16/icnet-camvid-ava-sparse-30-0001.bin
+        adapter: segmentation
+      - framework: dlsdk
+        tags:
+          - FP16-INT8
+        model: intel/icnet-camvid-ava-sparse-30-0001/FP16-INT8/icnet-camvid-ava-sparse-30-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-30-0001/FP16-INT8/icnet-camvid-ava-sparse-30-0001.bin
+        adapter: segmentation
+    datasets:
+      - name: CamVid
+
+        preprocessing:
+          - type: resize
+            dst_width: 960
+            dst_height: 720
+            interpolation: LINEAR
+
+        postprocessing:
+          - type: resize_segmentation_mask
+            apply_to: annotation
+            dst_width: 960
+            dst_height: 720
+
+        metrics:
+          - type: mean_iou
+            use_argmax: false
+
+global_definitions: ../dataset_definitions.yml
diff --git a/tools/accuracy_checker/configs/icnet-camvid-ava-sparse-60-0001.yml b/tools/accuracy_checker/configs/icnet-camvid-ava-sparse-60-0001.yml
@@ -0,0 +1,48 @@
+models:
+  - name: icnet-camvid-ava-sparse-60-0001
+
+    launchers:
+      - framework: dlsdk
+        tags:
+          - FP32
+        model: intel/icnet-camvid-ava-sparse-60-0001/FP32/icnet-camvid-ava-sparse-60-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-60-0001/FP32/icnet-camvid-ava-sparse-60-0001.bin
+        adapter: segmentation
+      - framework: dlsdk
+        tags:
+          - FP32-INT8
+        model: intel/icnet-camvid-ava-sparse-60-0001/FP32-INT8/icnet-camvid-ava-sparse-60-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-60-0001/FP32-INT8/icnet-camvid-ava-sparse-60-0001.bin
+        adapter: segmentation
+      - framework: dlsdk
+        tags:
+          - FP16
+        model: intel/icnet-camvid-ava-sparse-60-0001/FP16/icnet-camvid-ava-sparse-60-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-60-0001/FP16/icnet-camvid-ava-sparse-60-0001.bin
+        adapter: segmentation
+      - framework: dlsdk
+        tags:
+          - FP16-INT8
+        model: intel/icnet-camvid-ava-sparse-60-0001/FP16-INT8/icnet-camvid-ava-sparse-60-0001.xml
+        weights: intel/icnet-camvid-ava-sparse-60-0001/FP16-INT8/icnet-camvid-ava-sparse-60-0001.bin
+        adapter: segmentation
+    datasets:
+      - name: CamVid
+
+        preprocessing:
+          - type: resize
+            dst_width: 960
+            dst_height: 720
+            interpolation: LINEAR
+
+        postprocessing:
+          - type: resize_segmentation_mask
+            apply_to: annotation
+            dst_width: 960
+            dst_height: 720
+
+        metrics:
+          - type: mean_iou
+            use_argmax: false
+
+global_definitions: ../dataset_definitions.yml
diff --git a/tools/accuracy_checker/configs/icnet-camvid-ava-tf-sparse-30-0001.yml b/tools/accuracy_checker/configs/icnet-camvid-ava-tf-sparse-30-0001.yml
diff --git a/tools/accuracy_checker/configs/icnet-camvid-ava-tf-sparse-60-0001.yml b/tools/accuracy_checker/configs/icnet-camvid-ava-tf-sparse-60-0001.yml