setup file for pcb defect detection apps

Signed-off-by: khemendra kumar <khemendra.kumar@huawei.com>
Change-Id: Ia25712b0d4a51b8d9e4b0821e626629bc8124965

diff --git a/example-apps/PDD/deployment/setup.md b/example-apps/PDD/deployment/setup.md
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+
+# Pre-Setup (Before Application Integration)
+Step 1: docker login to akraino dockerhub
+username/pwd - ealtedge/Huawei_akraino
+
+or 
+
+pull images manually
+docker pull ealtedge/pcbdefdet-be
+docker pull ealtedge/pcbui
+
+
+Step 2: pretrained model for defect detection
+- copy pretrained model to Host machine where PCB containers are running
+    1. cloen model from gitlab git clone https://gitlab.com/gauravagrawal/ealtedge/-/tree/master/PCB-Def-Det-Models
+    2. create folder /root/pcb-def-det/model in host machine.
+    3. scp all files in models cloned to above path. 
+
+Step 3: iput images for defect detection 
+- image are copied to container images currently. if want to use different image, need to follow below steps
+    1. download application code and go example-apps/PDD/pcb-defect-detection/input_image 
+    2. copy the input image to one of folder.
+    3. build the docker "docker build -t ealtedge/pcbdefdet-be ." and push to docker hub
+    4. now new images will be avaible in container for detection
+    5. in future this can be enhance to feed from UI
+
+- Some Pre-Checks
+    - Check that ports are not already occupied
+    - UI running on "30002" node port of VM where containers are running.