examples/recogonize.py does not work out of the box.

[danieltanfh95]

Minimum size of dataset is 4, I have the following hack in produce_by_path that works.

# minimum size is 4
dataset = {
    'd3mIndex': [0,1,2,3],
    'video': [video_name,video_name,video_name,video_name],
    'label': [0,0,0,0]
}

[akashlp27]

hey, even after trying this i'm getting the same error

[danieltanfh95]

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

[danieltanfh95]

hey, even after trying this i'm getting the same error

refer to the changes here:
main...danieltanfh95:autovideo:main

[knwachuk]

AttributeError: 'PipelineRun' object has no attribute 'previous_pipeline_run_id'

System Configuration

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'

[VSSREEKANTH]

the error is due to mismatch of data classes used for training(fitted_pipeline), and the inference data.

[JayRGopal]

I have the same issue. Here are the relevant details.

Environment

torch==1.9.0 torchvision==0.10.0 numpy==1.21.2 opencv-python==4.10.0.84 -e git+https://github.com/datamllab/autovideo.git@1fa896a5d481fea7db58975f1ed13e636cfeefc7#egg=autovideo

Line I Ran

python3 examples/recogonize.py --video_path videos/demo.avi --log_path logs/Oct31_log.txt --load_path weights/fitted_pipeline

Error Stack Trace

Traceback (most recent call last): File "/Users/jaygopal/Documents/GitHub/autovideo/examples/recogonize.py", line 60, in <module> run(args) File "/Users/jaygopal/Documents/GitHub/autovideo/examples/recogonize.py", line 28, in run fitted_pipeline = torch.load(args.load_path, map_location="cpu") File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/torch/serialization.py", line 608, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/torch/serialization.py", line 787, in _legacy_load result = unpickler.load() File "/Users/jaygopal/Documents/GitHub/autovideo/autovideo/common/denormalize.py", line 70, in <module> class DenormalizePrimitive(transformer.TransformerPrimitiveBase[Inputs, Outputs, Hyperparams]): File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/d3m/primitive_interfaces/base.py", line 117, in __new__ cls.metadata.contribute_to_class(cls) File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/d3m/metadata/base.py", line 2987, in contribute_to_class self._generate_and_update() File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/d3m/metadata/base.py", line 3125, in _generate_and_update generated_metadata = self._generate_metadata_for_primitive() File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/d3m/metadata/base.py", line 3211, in _generate_metadata_for_primitive arguments, instance_methods = self._get_arguments_and_methods(hyperparams_class, type_arguments) File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/d3m/metadata/base.py", line 3494, in _get_arguments_and_methods raise exceptions.InvalidPrimitiveCodeError( d3m.exceptions.InvalidPrimitiveCodeError: Method 'fit_multi_produce' has an argument 'produce_methods' with type 'collections.abc.Sequence[str]' and not an expected type: typing.Sequence[str]