Comments (5)
@QuPengfei Can you provide more details on the specific pipeline? If possible please include a link to the pipeline.json.
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the issue can be reproduced with the following pipeline. i did not try the face and emotion use case. and i think face/emotion have the similar issue. also the same issue in the VCACA.
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I tested with the 0.4 release and pipeline seemed to work
$ docker/build.sh --framework ffmpeg
$ docker/run.sh --framework ffmpeg --pipelines /path/to/Ad-Insertion-Sample/adinsertion/analytics/Xeon/ffmpeg/pipelines
Then
$ samples/sample.py
Launching with options:
Namespace(destination='/tmp/results.txt', pipeline='object_detection', repeat=1, source='https://github.com/intel-iot-devkit/sample-videos/blob/master/bottle-detection.mp4?raw=true', verbose=True, version='1')
Starting Pipeline: http://localhost:8080/pipelines/object_detection/1
Pipeline Status:
{
"avg_fps": 0,
"elapsed_time": 0.0043637752532958984,
"id": 1,
"start_time": 1610067108.4090872,
"state": "QUEUED"
}
Pipeline Status:
{
"avg_fps": 0,
"elapsed_time": 0.5147325992584229,
"id": 1,
"start_time": 1610067108.4090872,
"state": "RUNNING"
}
Pipeline Status:
{
"avg_fps": 0,
"elapsed_time": 1.0265381336212158,
"id": 1,
"start_time": 1610067108.4090872,
"state": "RUNNING"
}
Pipeline Status:
{
"avg_fps": 0,
"elapsed_time": 1.5306789875030518,
"id": 1,
"start_time": 1610067108.4090872,
"state": "RUNNING"
}
Inference results looked good.
Can you retry? If it still fails for your application, please supply the full REST request.
from pipeline-server.
@QuPengfei We have had no update on this issue, kindly update this issue with the requested information or this issue will be closed.
from pipeline-server.
This has not been an issue since the 0.4.0 release, current release is 0.6.1. No action has been taken in the last 2+ weeks to confirm if issues are still seen.
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