Basic BrevettiAI data acces

pip install brevettiai

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Note: you may need to restart the kernel to use updated packages.

import os
import getpass
model_id = os.getenv("job_id") or input("Training job model id (can be read from url https://platform.brevetti.ai/models/{model_id})")
api_key = os.getenv("api_key") or getpass.getpass("Training job Api Key:")

API: Accessing the training job from python

from brevettiai.platform import Job
 
job = Job.init(job_id=model_id, api_key=api_key)
job.start(complete_job=False)

2022-04-25 09:07:38.875261: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.7.12/x64/lib
2022-04-25 09:07:38.875302: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
WARNING:brevettiai.platform.models.job:Overloading setting HistoryManager.hist_file: :memory:
INFO:brevettiai.platform.models.job:<class 'brevettiai.platform.models.job.Job'> initialized
INFO:brevettiai.platform.models.job:Uploading output.json to s3://data.criterion.ai/ae03ff72-b7a2-444d-8fe9-623f61dc4c71/artifacts/output.json

Query the image samples in the training job

from brevettiai.data.sample_tools import BrevettiDatasetSamples
samples = BrevettiDatasetSamples().get_image_samples(job.datasets)
samples.head(5)

INFO:brevettiai.platform.models.dataset:Getting image samples from dataset 'NeurIPS vials TRAIN' [https://platform.brevetti.ai/data/cb14b6e3-b4b9-45bb-955f-47aa6489a192]
INFO:brevettiai.platform.models.dataset:Getting annotations from dataset 'NeurIPS vials TRAIN' [https://platform.brevetti.ai/data/cb14b6e3-b4b9-45bb-955f-47aa6489a192] with filter: None
INFO:brevettiai.platform.models.dataset:Contents: {('good',): 3, ('missing_cap',): 2, ('failed_cap',): 2}

	category	folder	path	etag	segmentation_path	segmentation_etag	bucket	dataset	dataset_id	reference	url
0	(failed_cap,)	failed_cap	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	18082de95a667ad2b5c11c23deaf21c0	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	674b02943b722925696d1947d0cba9c3	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	NeurIPS vials TRAIN	cb14b6e3-b4b9-45bb-955f-47aa6489a192	N/A	https://platform.brevetti.ai/download?path=cb1...
1	(failed_cap,)	failed_cap	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	419fc5612ae56336d02e0f375f742dbe	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	2e9d79d3be01e983b67401ee1b967083	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	NeurIPS vials TRAIN	cb14b6e3-b4b9-45bb-955f-47aa6489a192	N/A	https://platform.brevetti.ai/download?path=cb1...
2	(good,)	good	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	bb697e5c1a401385102c93f7e15d2827	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	d23abb9ea84d3d1b8ae7d2bb9fd47b5b	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	NeurIPS vials TRAIN	cb14b6e3-b4b9-45bb-955f-47aa6489a192	N/A	https://platform.brevetti.ai/download?path=cb1...
3	(good,)	good	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	b1df8d1fd453d87ff8b93477af1c0f9d	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	b50596b248f356955efb48434c0f60cc	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	NeurIPS vials TRAIN	cb14b6e3-b4b9-45bb-955f-47aa6489a192	N/A	https://platform.brevetti.ai/download?path=cb1...
4	(good,)	good	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	c4c3e8e083e7ef1b2a78b002e2dc6467	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	94be4aa63aaf6bc84cfdd1be96bb62d9	s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f...	NeurIPS vials TRAIN	cb14b6e3-b4b9-45bb-955f-47aa6489a192	N/A	https://platform.brevetti.ai/download?path=cb1...

Using job.io to download samples

# io_tools is accessible from the job object or directly via import 'from brevettiai.io import io_tools'
# Note that access rights are configured on the IoTools object, and as such different instances of the object
# does not neccesarily have access to the same files. 
io_tools = job.io

# Buffer with binary file content of first image sample
buf = io_tools.read_file(samples.path[0])
buf[:10]

b'BM6L\x02\x00\x00\x00\x00\x00'

# Copy the first image sample file to your local drive
io_tools.copy(samples.path[0], samples.path[0].split("/")[-1])
print(f"s3 'bucket' path: {samples.path[0]}")
print("Listing local directory")
os.listdir(".")

s3 'bucket' path: s3://data.criterion.ai/cb14b6e3-b4b9-45bb-955f-47aa6489a192.datasets.criterion.ai/failed_cap/0_1543413169486.bmp
Listing local directory





['image_classifier_101', '0_1543413169486.bmp', 'BrevettiAI_data_access.ipynb']

To explore the code by examples, please run the in the notebook that can be found on colab on this link Brevettiai Data Access