validating single image predict for fashion_mnist - kamangir/bolt#692

abcli/fashion_mnist.sh

@@ -37,10 +37,12 @@ function abcli_fashion_mnist() {
     if [ "$task" == "predict" ] ; then
         local data_object=$(abcli_clarify_object "$2" $abcli_object_name)
 
-        local options=$3
+        local model_name=$(abcli_clarify_arg "$3" fashion-mnist)
+
+        local options=$4
         local data_source=$(abcli_option "$options" "data" object)
 
-        if [ "$(abcli_keyword_is $data_object validate)" == true ] && [ "$data_source" == "object" ]; then
+        if [ "$(abcli_keyword_is $data_object validate)" == true ] && [ "$data_source" == "object" ] ; then
             local output_object=$abcli_object_name
 
             abcli_select - ~trail
@@ -50,15 +52,13 @@ function abcli_fashion_mnist() {
             abcli_select $output_object ~trail
         fi
 
-        local model_name=$(abcli_clarify_arg "$3" fashion-mnist)
-
         abcli_log "fashion_mnist($model_name).predict($data_object)"
 
         abcli_image_classifier predict \
             $data_object \
             $model_name \
             $options \
-            ${@:4}
+            ${@:5}
 
         abcli_tag set . fashion_mnist
 

abcli/image_classifier.sh

@@ -60,11 +60,6 @@ function abcli_image_classifier() {
 }
 
 function abcli_image_classifier_predict() {
-    # Args
-    #  $1: data_1: data for prediction
-    #  $2: name_1: model name
-    #  $3: options: data=filename/*object/url,model=object/*saved
-
     local data_object=$(abcli_clarify_object "$1")
 
     local model_name=$2

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.139"
+version = "1.1.142"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"