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Tell me how to load a custom action network model correctly v2.pt in the Deepstack server docker? Did I do the right thing?
DeepStack: Version 2021.09.01
I created the /model store/detection folders and threw the action net file there v2.pt
After the reboot, I got a v1/vision/custom/action net v2 entry in the logs. Did I do the right thing? It just confuses me that there is a v1/vision/custom/action net v2 entry in the logs, and the rest are written like this.
/v1/vision/face
/v1/vision/face/recognize
....
Is it necessary to enter here as in the case of face and object recognition?
The text was updated successfully, but these errors were encountered:
Tell me how to load a custom action network model correctly v2.pt in the Deepstack server docker? Did I do the right thing?
DeepStack: Version 2021.09.01
I created the /model store/detection folders and threw the action net file there v2.pt
After the reboot, I got a v1/vision/custom/action net v2 entry in the logs. Did I do the right thing? It just confuses me that there is a v1/vision/custom/action net v2 entry in the logs, and the rest are written like this.
Is it necessary to enter here as in the case of face and object recognition?
The text was updated successfully, but these errors were encountered: