Saswat Subhajyoti

I tried hitting the NLU server (/model/parse) to find the root of this behaviour. Seems like rasa core is responsible for it Below plot shows two runs. First one (on...

No, I didn't make any modifications to any of the scripts. I installed rasa via and ran `rasa run --enable-api`

Try this out: https://github.com/saswat0/License-Plate-Recognition/tree/master/alpr

This worked for me: https://github.com/saswat0/License-Plate-Recognition/blob/master/alpr/video.py

There seems to be a typo in your command. You've missed 's' from the package name. It's keras `pip install keras==2.2.4`

Upgrade pip for tensorflow. Also, numpy>=1.19 and OpenCV>=3 will work

For opencv: ``` pip install opencv-python ``` For tensorflow: ``` pip install tensorflow==1.5.1 ```

Check out this version. It's in python3 https://github.com/saswat0/License-Plate-Recognition/tree/Python3

Darknet is optimised for YOLO. Using tensorflow or pytorch will result in much lesser fps than darknet alone. In fact, the only part that doesn't use darknet in this project...

An anomaly is usually triggered when either the application, its downstream services (dependent apps) or the runtime environment crashes. On the event of an anomaly, we could check for inconsistency...