Move images to docs/images

 This PR moves images to docs/images to clean up docs folder for later
use.

Self evaluation:

Build test: [ ]Passed [ ]Failed [X]Skipped
Run test: [ ]Passed [ ]Failed [X]Skipped

Signed-off-by: Jihoon Lee <jhoon.it.lee@samsung.com>

diff --git a/Applications/KNN/README.md b/Applications/KNN/README.md
index 4b05308..bd1ffd2 100644 (file)
--- a/Applications/KNN/README.md
+++ b/Applications/KNN/README.md
@@ -3,24 +3,24 @@
 Here is some toy example which is distinguish simple images.
 The Mobile ssd V2 tensor flow lite model is used for the feature extractor and Nearest Neighbor is used for the classifier. All the training and testing is done on the Galaxy S8.
 
-![image](https://github.com/nnstreamer/nntrainer/blob/master/doc/08b09a80-ef29-11e9-8303-475fd75f4b83.png)
+![image](https://github.com/nnstreamer/nntrainer/blob/master/docs/images/08b09a80-ef29-11e9-8303-475fd75f4b83.png)
 
 Happy(^^), sad(TT), soso(ㅡㅡ) classes are used and prepare 5 images for the training and two images for the test set each as below.
 
-![image](https://github.com/nnstreamer/nntrainer/blob/master/doc/a73cfb80-ef29-11e9-9ae9-0d6531538eaf.png)
+![image](https://github.com/nnstreamer/nntrainer/blob/master/docs/images/a73cfb80-ef29-11e9-9ae9-0d6531538eaf.png)
 
 After remove the fully connected layer of mobile ssd v2, 128 features are extracted. The features from first training set data is below.
 
-![image](https://github.com/nnstreamer/nntrainer/blob/master/doc/0997fb00-ef2e-11e9-90a3-51c27bf4013f.png)
+![image](https://github.com/nnstreamer/nntrainer/blob/master/docs/images/0997fb00-ef2e-11e9-90a3-51c27bf4013f.png)
 
 
 Simple euclidean distance is calculated and the result is quite good. All the test set is collected.
 
-![image](https://github.com/nnstreamer/nntrainer/blob/master/doc/87103b00-ef2f-11e9-9c1a-83da0faafb63.png)
+![image](https://github.com/nnstreamer/nntrainer/blob/master/docs/images/87103b00-ef2f-11e9-9c1a-83da0faafb63.png)
 
 Due to the simplicity of this toy example, all the test results are collect.
 
 There are two more random pictures which little bit differ from right image. As you can see, it is little bit hard to tell which class it is. First image could be classified as "happy" but the red zone is across with sad and the variance is quite small. Second image is more confused. Cause the smallest distance is all over the classes.
 May be should be define the threshold which is not implemented yet.
 
-![image](https://github.com/nnstreamer/nntrainer/blob/master/doc/33552000-ef36-11e9-88f6-ea6a35ccdf6b.png)
+![image](https://github.com/nnstreamer/nntrainer/blob/master/docs/images/33552000-ef36-11e9-88f6-ea6a35ccdf6b.png)

diff --git a/Applications/ReinforcementLearning/DeepQ/README.md b/Applications/ReinforcementLearning/DeepQ/README.md
index 6d21198..68daf17 100644 (file)
--- a/Applications/ReinforcementLearning/DeepQ/README.md
+++ b/Applications/ReinforcementLearning/DeepQ/README.md
@@ -21,6 +21,6 @@ For the Environment,
 The results is below.
 
 <p align=center>
-<img src =https://github.com/nnstreamer/nntrainer/blob/master/doc/de916e80-0b9f-11ea-9950-5c40d2bef8e4.gif width=300 >
-<img src =https://github.com/nnstreamer/nntrainer/blob/master/doc/d2f17800-0b9e-11ea-8060-edfeacd6c71e.gif width=300 >
+<img src =https://github.com/nnstreamer/nntrainer/blob/master/docs/images/de916e80-0b9f-11ea-9950-5c40d2bef8e4.gif width=300 >
+<img src =https://github.com/nnstreamer/nntrainer/blob/master/docs/images/d2f17800-0b9e-11ea-8060-edfeacd6c71e.gif width=300 >
 </p>

diff --git a/Applications/Training/README.md b/Applications/Training/README.md
index d7cfd05..448273e 100644 (file)
--- a/Applications/Training/README.md
+++ b/Applications/Training/README.md
@@ -9,22 +9,22 @@ Sigmoid function is used for the activation. Square error loss function and grad
 
 The configuration of the example is below,
 <p align = "center">
-<img src="https://github.com/nnstreamer/nntrainer/blob/master/doc/02a7ee80-f0ce-11e9-97b8-bcc19b7eb222.png" width="400" height="250" > </p>
+<img src="https://github.com/nnstreamer/nntrainer/blob/master/docs/images/02a7ee80-f0ce-11e9-97b8-bcc19b7eb222.png" width="400" height="250" > </p>
 
 Training set and test set are below
 <p align = "center">
-<img src="https://github.com/nnstreamer/nntrainer/blob/master/doc/7944ec00-f0ce-11e9-87af-aea730bcd0f5.png" >
+<img src="https://github.com/nnstreamer/nntrainer/blob/master/docs/images/7944ec00-f0ce-11e9-87af-aea730bcd0f5.png" >
 </p>
 
 After Iterating 300 times, the change of L2 Norm of the Loss function is below.
 <p align = "center">
-<img src="https://github.com/nnstreamer/nntrainer/blob/master/doc/d42b1300-f0cf-11e9-9b6f-6db30def4684.png" width="500" height="300">
+<img src="https://github.com/nnstreamer/nntrainer/blob/master/docs/images/d42b1300-f0cf-11e9-9b6f-6db30def4684.png" width="500" height="300">
 </p>
 
 and the test results for the 8 test cases are below. Step function is used to make more clear.
 As you can see, the test result is ok.
 
 <p align ="center">
-<img src="https://github.com/nnstreamer/nntrainer/blob/master/doc/16555400-f0d2-11e9-959b-f61935fefd5a.png" width ="500" height="180">
+<img src="https://github.com/nnstreamer/nntrainer/blob/master/docs/images/16555400-f0d2-11e9-959b-f61935fefd5a.png" width ="500" height="180">
 </p>
 

diff --git a/doc/02a7ee80-f0ce-11e9-97b8-bcc19b7eb222.png b/docs/images/02a7ee80-f0ce-11e9-97b8-bcc19b7eb222.png
similarity index 100%
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rename to docs/images/02a7ee80-f0ce-11e9-97b8-bcc19b7eb222.png

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diff --git a/doc/0997fb00-ef2e-11e9-90a3-51c27bf4013f.png b/docs/images/0997fb00-ef2e-11e9-90a3-51c27bf4013f.png
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diff --git a/doc/16555400-f0d2-11e9-959b-f61935fefd5a.png b/docs/images/16555400-f0d2-11e9-959b-f61935fefd5a.png
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diff --git a/doc/33552000-ef36-11e9-88f6-ea6a35ccdf6b.png b/docs/images/33552000-ef36-11e9-88f6-ea6a35ccdf6b.png
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diff --git a/doc/7944ec00-f0ce-11e9-87af-aea730bcd0f5.png b/docs/images/7944ec00-f0ce-11e9-87af-aea730bcd0f5.png
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diff --git a/doc/87103b00-ef2f-11e9-9c1a-83da0faafb63.png b/docs/images/87103b00-ef2f-11e9-9c1a-83da0faafb63.png
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diff --git a/doc/a73cfb80-ef29-11e9-9ae9-0d6531538eaf.png b/docs/images/a73cfb80-ef29-11e9-9ae9-0d6531538eaf.png
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diff --git a/doc/d2f17800-0b9e-11ea-8060-edfeacd6c71e.gif b/docs/images/d2f17800-0b9e-11ea-8060-edfeacd6c71e.gif
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