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Home Page: https://idealo.github.io/imageatm/
License: Apache License 2.0
Image classification for everyone.
Home Page: https://idealo.github.io/imageatm/
License: Apache License 2.0
Currently the terraform config files are not part of the python package and only available through cloning the repo.
Goal is to include these files in the package, such that no repo cloning is required to use the cloud resources.
https://stackoverflow.com/questions/56688232/including-non-python-files-in-a-python-package
For now not all elements of the project use pathlib.
The following error appears when generating the evaluation report as jupyter notebook:
papermill.exceptions.PapermillExecutionError:
---------------------------------------------------------------------------
Exception encountered at "In [7]":
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-7-a62122680ff8> in <module>
----> 1 e._plot_classification_report(figsize=[max(5,e.n_classes*0.5), max(8,e.n_classes*0.8)])
AttributeError: 'Evaluation' object has no attribute '_plot_classification_report'
This is my config.yml:
evaluate:
run: True
report:
create: True
kernel_name: imageatm
export_html: True
export_pdf: False
Hi, First of all, I am new to this area, but I was able to create the hdf5 model as shown in the documentation. however, I want to test this model on different images using tensorflow. How can I do that?
The command mypy --config-file mypy.ini --strict imageatm
should be included in Travis and only pass the build if all type hints are correct and complete.
Further tests for both handlers:
DataGenerator
ImageClassifier
If AWS VPC that is specified in config_file.yml under key vpc_id is not set to default VPC on AWS, the terraform apply process fails with the following error:
Error: Error applying plan:
1 error occurred:
* module.ec2.aws_instance.image_atm: 1 error occurred:
* aws_instance.image_atm: Error launching source instance: VPCIdNotSpecified: No default VPC for this user
status code: 400, request id: xxx
image_dir
and job_dir
can be set in config file for each componentimage_dir
and job_dir
based on which components run first etc.old format:
data_prep:
run: True
samples_file: sample_configfile.json
image_dir: sample_dataset/
job_dir: sample_jobdir/
resize: True
train:
run: True
cloud: False
evaluate:
run: True
cloud:
cloud_tag: image_atm_example_tag
provider: aws
tf_dir: cloud/aws
region: eu-west-1
vpc_id: vpc-example
instance_type: p2.xlarge
bucket: s3://example-bucket
destroy: True
new format:
image_dir: sample_dataset/
job_dir: sample_jobdir/
data_prep:
run: True
samples_file: sample_configfile.json
resize: True
train:
run: True
cloud: False
evaluate:
run: True
cloud:
cloud_tag: image_atm_example_tag
provider: aws
tf_dir: cloud/aws
region: eu-west-1
vpc_id: vpc-example
instance_type: p2.xlarge
bucket: s3://example-bucket
destroy: True
I get
error: PyYAML 5.2 is installed but PyYAML<=3.13,>=3.10 is required by {'awscli'}
and it seems a new version of awscli is to blame for that and indeed,
using
'awscli==1.11.18',
in setup.py works for me.
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