From 8de7a0db3805352bbf3924ca2e0b15dcdc9045ee Mon Sep 17 00:00:00 2001
From: Andrews Sobral <andrewssobral@gmail.com>
Date: Fri, 8 Oct 2021 17:13:29 +0200
Subject: [PATCH] Improved Train_Image_Object_Detection

---
 .../catalog/Train_Image_Object_Detection.xml  | 25 +++++++++++--------
 1 file changed, 15 insertions(+), 10 deletions(-)

diff --git a/DeepLearningWorkflows/resources/catalog/Train_Image_Object_Detection.xml b/DeepLearningWorkflows/resources/catalog/Train_Image_Object_Detection.xml
index 6dfe2a44d..46b702f0d 100644
--- a/DeepLearningWorkflows/resources/catalog/Train_Image_Object_Detection.xml
+++ b/DeepLearningWorkflows/resources/catalog/Train_Image_Object_Detection.xml
@@ -7,6 +7,11 @@
     <variable model="PA:LIST(no-container,docker,podman,singularity)" name="CONTAINER_PLATFORM" value="docker"/>
     <variable model="PA:Boolean" name="CONTAINER_GPU_ENABLED" value="True"/>
     <variable model="PA:LIST(,docker://activeeon/dlm3,docker://activeeon/cuda,docker://activeeon/cuda2,docker://activeeon/nvidia:pytorch)" name="CONTAINER_IMAGE" value=""/>
+    <variable name="DATA_PATH" value="https://s3.eu-west-2.amazonaws.com/activeeon-public/datasets/coco.zip"/>
+    <variable name="LABEL_PATH" value="https://s3.eu-west-2.amazonaws.com/activeeon-public/datasets/coco.names"/>
+    <variable model="PA:Integer" name="NUM_EPOCHS" value="2"/>
+    <variable model="PA:Integer" name="BATCH_SIZE" value="1"/>
+    <variable model="PA:Integer" name="NUM_WORKERS" value="1"/>
   </variables>
   <description>
     <![CDATA[ Detect objects an image dataset using a pre-trained model. ]]>
@@ -14,8 +19,8 @@
   <genericInformation>
 <info name="bucketName" value="deep-learning-workflows"/>
 <info name="workflow.icon" value="/automation-dashboard/styles/patterns/img/wf-icons/pytorch-logo-dark.png"/>
-<info name="PYTHON_COMMAND" value="python3"/>
 <info name="NS" value="$NATIVE_SCHEDULER"/>
+<info name="PYTHON_COMMAND" value="python3"/>
 <info name="NODE_ACCESS_TOKEN" value="$NODE_ACCESS_TOKEN"/>
 <info name="Documentation" value="PML/PMLUserGuide.html#_training_custom_ai_workflows_pytorch_library"/>
 <info name="NS_BATCH" value="$NATIVE_SCHEDULER_PARAMS"/>
@@ -34,7 +39,7 @@
         <variable inherited="false" name="NUM_CLASSES" value="81"/>
         <variable inherited="false" name="CONF_THRESHOLD" value="0.5"/>
         <variable inherited="false" name="NMS_THRESHOLD" value="0.45"/>
-        <variable inherited="false" name="LABEL_PATH" value="https://s3.eu-west-2.amazonaws.com/activeeon-public/datasets/coco.names"/>
+        <variable inherited="true" name="LABEL_PATH" value="https://s3.eu-west-2.amazonaws.com/activeeon-public/datasets/coco.names"/>
         <variable inherited="false" name="USE_PRETRAINED_MODEL" value="True"/>
       </variables>
       <genericInformation>
@@ -68,8 +73,8 @@
         <![CDATA[ Predict a model using an image object detection network. ]]>
       </description>
       <variables>
-        <variable inherited="false" name="BATCH_SIZE" value="1"/>
-        <variable inherited="false" name="NUM_WORKERS" value="1"/>
+        <variable inherited="true" model="PA:Integer" name="BATCH_SIZE" value="4"/>
+        <variable inherited="true" model="PA:Integer" name="NUM_WORKERS" value="4"/>
       </variables>
       <genericInformation>
         <info name="task.icon" value="/automation-dashboard/styles/patterns/img/wf-icons/deep_predict.png"/>
@@ -109,7 +114,7 @@
     </task>
     <task fork="true" name="Preview_Results" preciousResult="true">
       <description>
-        <![CDATA[  Preview the results of the predictions generated by the trained model. ]]>
+        <![CDATA[ Preview the results of the predictions generated by the trained model. ]]>
       </description>
       <variables>
         <variable inherited="false" name="OUTPUT_FILE" value="HTML"/>
@@ -152,7 +157,7 @@
         <![CDATA[ Load and return an image dataset. ]]>
       </description>
       <variables>
-        <variable inherited="false" name="DATA_PATH" value="https://s3.eu-west-2.amazonaws.com/activeeon-public/datasets/coco.zip"/>
+        <variable inherited="true" name="DATA_PATH" value="https://s3.eu-west-2.amazonaws.com/activeeon-public/datasets/coco.zip"/>
         <variable inherited="false" name="TRAIN_SPLIT" value="0.60"/>
         <variable inherited="false" name="VAL_SPLIT" value="0.15"/>
         <variable inherited="false" name="TEST_SPLIT" value="0.25"/>
@@ -192,9 +197,9 @@
         <![CDATA[ Train a model using an image object detection network. ]]>
       </description>
       <variables>
-        <variable inherited="false" name="NUM_EPOCHS" value="1"/>
-        <variable inherited="false" name="BATCH_SIZE" value="1"/>
-        <variable inherited="false" name="NUM_WORKERS" value="1"/>
+        <variable inherited="true" model="PA:Integer" name="NUM_EPOCHS" value="4"/>
+        <variable inherited="true" model="PA:Integer" name="BATCH_SIZE" value="4"/>
+        <variable inherited="true" model="PA:Integer" name="NUM_WORKERS" value="4"/>
       </variables>
       <genericInformation>
         <info name="task.icon" value="/automation-dashboard/styles/patterns/img/wf-icons/deep_train.png"/>
@@ -258,7 +263,7 @@
         </style>
     </head>
     <body>
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class="name">Predict_Image_Object_Detection_Model</span></a></div><div class="task ui-draggable _jsPlumb_endpoint_anchor_" id="jsPlumb_1_209" style="top: 821.516px; left: 405.547px;"><a class="task-name" data-toggle="tooltip" data-placement="right" title=" Preview the results of the predictions generated by the trained model."><img src="/automation-dashboard/styles/patterns/img/wf-icons/deep_export_results.png" width="20px">&nbsp;<span class="name">Preview_Results</span></a></div><div class="task _jsPlumb_endpoint_anchor_ ui-draggable" id="jsPlumb_1_212" style="top: 437.516px; left: 469.547px;"><a class="task-name" data-toggle="tooltip" data-placement="right" title="Load and return an image dataset."><img src="/automation-dashboard/styles/patterns/img/wf-icons/import_image.png" width="20px">&nbsp;<span class="name">Import_Image_Dataset</span></a></div><div class="task ui-draggable _jsPlumb_endpoint_anchor_" id="jsPlumb_1_215" style="top: 565.516px; left: 405.547px;"><a 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+    <div id="workflow-visualization-view"><div id="workflow-visualization" style="position:relative;top:-111.515625px;left:-70.546875px"><div class="task _jsPlumb_endpoint_anchor_ ui-draggable" id="jsPlumb_1_226" style="top: 116.516px; left: 75.5469px;"><a class="task-name" data-toggle="tooltip" data-placement="right" title="YOLO is a  single neural network to predict bounding boxes and class probabilities."><img src="/automation-dashboard/styles/patterns/img/wf-icons/deep_detection.png" width="20px">&nbsp;<span class="name">YOLO</span></a></div><div class="task ui-draggable _jsPlumb_endpoint_anchor_" id="jsPlumb_1_229" style="top: 372.516px; left: 140.547px;"><a class="task-name" data-toggle="tooltip" data-placement="right" title="Predict a model using an image object detection network."><img src="/automation-dashboard/styles/patterns/img/wf-icons/deep_predict.png" width="20px">&nbsp;<span class="name">Predict_Image_Object_Detection_Model</span></a></div><div class="task ui-draggable 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