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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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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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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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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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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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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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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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Hi Cindy,
I'm doing object classification. If you need any more information let me know. Thanks
Regards,
Huynh
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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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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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