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Description
Hi, I have the same issue when I loaded my own tflite model.
I have already replaced the path to my model in the Dockerfile.model and env.aarch64.artpec8:
Dockerfile.model:
# Get custom model
ADD ./models/yolov4/train-608_best.tflite models/
ADD ./models/yolov4/labels.txt models/
env.aarch64.artpec8:
MODEL_PATH=/models/train-608_best.tflite
OBJECT_LIST_PATH=/models/labels.txt
INFERENCE_SERVER_IMAGE=axisecp/acap-runtime:aarch64-containerized
INFERENCE_SERVER_ARGS="-m /models/train-608_best.tflite -j 12"
There is the error I encountered:

error message:
ERROR in Inference: Failed to load model train-608_best.tflite (Could not load model: Asynchronous connection has been closed)
<_InactiveRpcError of RPC that terminated with:
object-detector-python_1 | status = StatusCode.UNAVAILABLE
object-detector-python_1 | details = "failed to connect to all addresses"
object-detector-python_1 | debug_error_string = "{"created":"@1659425957.027178280","description":"Failed to pick subchannel","file":"src/core/ext/filters/client_channel/client_channel.cc","file_line":3217,"referenced_errors":[{"created":"@1659425957.027173640","description":"failed to connect to all addresses","file":"src/core/lib/transport/error_utils.cc","file_line":165,"grpc_status":14}]}"
Environment
- Axis device model: P3265-LVE
- Axis device firmware version: 10.11.76 (also tried 10.10.73 but didn't work)
- SDK VERSION: 1.2.1
- docker daemon with Compose: 1.2.3
Please help me, thanks in advance.
Originally posted by @JENNSHIUAN in #50 (comment)