-
Notifications
You must be signed in to change notification settings - Fork 25
Closed
Labels
bugSomething isn't workingSomething isn't working
Description
Description
Thank you for your attention. I've trained custom ssdlite_mobiledet model using the TensorFlow API. Following the efforts of previous work, I made changes to the Dockerfile.model and env.aarch64.artpec8 paths, and I was able to successfully run it in the following environment:
- Axis device model: P3265-LVE
- Axis device firmware version: 10.11.76
- SDK VERSION: 1.2.1
- docker daemon with Compose: 1.2.3
- acap-runtime : 1.2.0

However, when I upgraded Axis firmware to version 11, I encountered the following issue during inference:
inference-server_1 | ERROR in Inference: Failed to load model model.tflite (Could not send message: Transport endpoint is not connected)
object-detector-api-python_1 | <_InactiveRpcError of RPC that terminated with:
object-detector-api-python_1 | status = StatusCode.CANCELLED
object-detector-api-python_1 | details = ""
object-detector-api-python_1 | debug_error_string = "{"created":"@1695725084.818779200","description":"Error received from peer unix:/tmp/acap-runtime.sock","file":"src/core/lib/surface/call.cc","file_line":952,"grpc_message":"","grpc_status":1}"
Issue environment
- Axis device model: P3265-LVE
- Axis device firmware and CV SDK: 11.3.70 vs 1.9
(also tried 11.2.68 vs 1.6, 11.4.63 vs 1.8, 11.5.64 vs 1.10) - docker daemon with Compose: 1.2.3
- acap-runtime : 1.2.0 (also tried 1.3.1)
Please help me, thanks in advance.
Metadata
Metadata
Assignees
Labels
bugSomething isn't workingSomething isn't working
