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422 Discussions

No access "http://localhost:5000"

HuynhVanThuan
New Contributor I
8,744 Views

I have successfully run EII but for some reason I still can't access "http://localhost:5000" even though I followed the instructions. Can anyone help me? Here are all the files I followed your instructions

 

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cindyl
Employee
8,627 Views

Hi Huynh, 

 

It seems like that there's an issue with the UDF. You can either create a new UDF or edit the current UDF for classification. If you are unsure about the code, you can refer to the file from "/Edge_Insights_for_Industrial_2.6.2/training-and-learning-suite/nnframework/tf/inferOpenvino/classificationInfer.py".

 

Regards,

Cindy



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8 Replies
Sahira_Intel
Moderator
8,693 Views

Hi,

It looks like the app was successfully launched but I would like to try to replicate this error. 

Can you please share more information about this error. Are you trying to run an EII demo? 

 

Sincerely,

Sahira

 


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HuynhVanThuan
New Contributor I
8,668 Views

Hi Sahira,

 

I want to give you a few more photos in this post. Hope it will give you a lot of useful information. If you need any information please let me know. Thank you so much

 

Best regards,

Mr. Huynh Van Thuan

 

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cindyl
Employee
8,679 Views

Hi Huynh,

 

Can you share the logs for ia_video_analytics and ia_video_ingestion? 

 $ docker logs -f ia_video_analytics

 $ docker logs -f ia_video_ingestion

 

Regards,

Cindy

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HuynhVanThuan
New Contributor I
8,673 Views

Hi Cindy,

 

The document you need to see is here. If you need any more information, please let me know. I am very happy about this. Thank you so much

 

Best Regards,

Mr. Huynh Van Thuan

 

 

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cindyl
Employee
8,661 Views

Hi Huynh,

 

Seems like there is an error with the custom UDF. May I know whether you are doing classification or object detection?

 

Regards,

Cindy

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HuynhVanThuan
New Contributor I
8,647 Views

Hi Cindy,

 

I'm doing object classification. If you need any more information let me know. Thanks

 

Regards,

Huynh

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cindyl
Employee
8,628 Views

Hi Huynh, 

 

It seems like that there's an issue with the UDF. You can either create a new UDF or edit the current UDF for classification. If you are unsure about the code, you can refer to the file from "/Edge_Insights_for_Industrial_2.6.2/training-and-learning-suite/nnframework/tf/inferOpenvino/classificationInfer.py".

 

Regards,

Cindy



HuynhVanThuan
New Contributor I
8,679 Views

Hi Sahira,

 

I want to make a demo application as mentioned from slide 35 -> 37 (AI4I Day 5 & 6.pdf) and I need to be able to access the "http://local:5000" link to be able to do this. 

 

Here is the sequence I did while running EII

 

1. copy ais to /home/ais/edge_insights_industrial/Edge_Insights_for_Industrial_2.6/IEdgeInsights/common/video/udfs/python
2. copy and replace .xml and bin files to /home/ais/edge_insights_industrial/Edge_Insights_for_Industrial_2.6/IEdgeInsights/common/video/udfs/python/ais/ref
3. Add label in labels.txt in /home/ais/edge_insights_industrial/Edge_Insights_for_Industrial_2.6/IEdgeInsights/common/video/udfs/python/ais/ref
4. go to /home/ais/edge_insights_industrial/Edge_Insights_for_Industrial_2.6/IEdgeInsights/build and run the builder script for video-streaming use case
```
python3 builder.py -f usecases/video-streaming.yml
```
5. Replace config files:
a. copy and replace classification/eii_config.json in /home/ais/edge_insights_industrial/Edge_Insights_for_Industrial_2.6/IEdgeInsights/build/provision/config if doing classification
b. copy and replace object detection/eii_config.json in /home/ais/edge_insights_industrial/Edge_Insights_for_Industrial_2.6/IEdgeInsights/build/provision/config if doing object detection


6. provision, build and run
```
cd provision && sudo -E ./provision.sh ../docker-compose.yml
cd .. && docker-compose -f docker-compose-build.yml build
docker-compose up -d
```
7. to clode EII visualizer, run the following command in the same terminal
```
docker-compose down
```

 

After I completed the above command sequence successfully, I continued to follow the command sequence in the file "AI41_node_red_command.txt" to be able to access the address "http://localhost:5000". Besides, I also refer to the document "AI4I Day 5 & 6.pdf" from slides 10 -> 12 and 16 -> 18 to execute the following sequence of commands

 

----------------------------------------------
1. Install Visual Studio code
----------------------------------------------

sudo snap install --classic code

----------------------------------------------
2. Preparing your MQTT Broker
----------------------------------------------

sudo nano /etc/mosquitto/mosquitto.conf

----------------------------------------------

bind_address 0.0.0.0
port 1884

-----------------------------------------------

sudo systemctl restart mosquitto.service

sudo systemctl status mosquitto.service

----------------------------------------------
3. Include MQTT in the docker for Video analytics
----------------------------------------------

numpy==1.18.0
paho-mqtt==1.4.0

----------------------------------------------
4. Include mqtt in the udf
----------------------------------------------

import paho.mqtt.client as mqtt
client = mqtt.Client()
client.connect("192.168.100.21", 1884, 60)

-----------------------------------------------

client.publish("/ais/",json.dumps({"Result":defects}))

----------------------------------------------
5. Modify UDF: Provision, build and run
----------------------------------------------

cd provision && sudo -E ./provision.sh ../docker-compose.yml
cd .. && docker-compose -f docker-compose-build.yml build
docker-compose up -d

--------------------------------------

 

After done come here. I started accessing "http://localhost:5000" and I still can't access it even though I don't know where I went wrong

 

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