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examples/recogonize.py does not work out of the box. #14
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hey, even after trying this i'm getting the same error |
what did you try? You need to hack the library code for this to work |
refer to the changes here: |
|
Component | Version |
---|---|
Python | 3.8.2 |
OS | macOS 11.6.5 |
autovideo | 1.2.4 |
requirements.txt
autovideo
d3m
pandas
torch==1.9.0
torchvision==0.10.0
The restriction to version for torch
and torchvision
is from #13.
Run Command
Running the command below
python -m examples.recognize --load_path fitted_pipeline --video_path demo.avi
Error
produces the error:
Exception has occurred: AttributeError
'PipelineRun' object has no attribute 'previous_pipeline_run_id'
File "/autovideo/autovideo/utils/axolotl_utils.py", line 80, in produce
pipeline_result = backend.produce_pipeline(_id, [test_dataset])
File "/autovideo/autovideo/utils/axolotl_utils.py", line 106, in produce_by_path
predictions = produce(test_dataset=dataset,
File "/autovideo/examples/recognize.py", line 49, in run
predictions = produce_by_path(fitted_pipeline, args.video_path)
File "/autovideo/examples/recognize.py", line 69, in <module>
run(args)
AttributeError: 'PipelineRun' object has no attribute 'previous_pipeline_run_id'
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Minimum size of dataset is 4, I have the following hack in produce_by_path that works.
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