+= README.md - kamangir/bolt#692

README.md

@@ -2,7 +2,50 @@
 license: cc
 ---
 
-# Fashion MNIST
+# Image Classifier
 
-[fashion-mnist](https://github.com/zalandoresearch/fashion-mnist) + hugging-face + [awesome-bash-cli](https://github.com/kamangir/awesome-bash-cli). 🚀
+An extendable TensorFlow image classifier w/ a Bash cli and Hugging Face integration.
 
+---
+
+`image-classifier` is an [awesome-bash-cli](https://github.com/kamangir/awesome-bash-cli) plugin - to see the list of commands added by `image_classifier` complete [installation](#Installation) and type in:
+
+```
+abc image_classifier ?
+abc fashion_mnist ?
+```
+## Installation
+
+Install and configure [awesome-bash-cli](https://github.com/kamangir/awesome-bash-cli), then run:
+
+```
+abc huggingface clone image-classifier
+```
+
+## example1
+
+![image](./saved_model/fashion-mnist/image_classifier/prediction/00000.jpg)
+
+`fashion_mnist` is an `image_classifier` trained on [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist).
+
+To retrain `fashion_mnist` type in:
+
+```
+abc select
+abc fashion_mnist train
+abc upload
+abc image_classifier list . model=object,browser
+```
+
+You should now see the structure of the network (left) and the content of the model (right).
+
+| ![image](./abcli/assets/fashion_mnist_list.png) | ![image](./abcli/assets/fashion_mnist_browsed.png) |
+|---|---|
+
+You can save this model under a new name by typing in:
+
+```
+abc fashion_mnist save new_name .
+```
+
+/ END

abcli/image_classifier.sh

@@ -45,6 +45,7 @@ function abcli_image_classifier() {
 
         local options=$3
         local model_source=$(abcli_option "$options" "model" saved)
+        local do_browse=$(abcli_option_get_unpacked "$options" "browser" 0)
 
         local model_path=$(abcli_huggingface get_model_path image-classifier "$model_name" "$options")
 
@@ -58,6 +59,10 @@ function abcli_image_classifier() {
             --model_path $model_path \
             ${@:4}
 
+        if [ "$do_browse" == 1 ] && [ "$model_source" == "object" ] ; then
+            abcli_browser $model_object
+        fi
+
         return
     fi
 

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.181"
+version = "1.1.185"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"