Package: seeme
Welcome to SeeMe.aiSeeMe.ai is a no/low code MLOps platform aiming to be the simplest way you create, use, and share AI.You can use SeeMe.ai without any code to automate the full AI lifecycle of your datasets and models.The Python SDK gives easy access to all of your datasets, models, jobs, ... on the platform.Installation$pipinstallseemeGetting startedfromseemeimportClientcl=Client()# -- Registration --my_username=# example: "my_username"my_email=# example: "jan.vandepoel@seeme.ai"my_password=# example: "supersecurepassword"my_firstname=# example: "Jan"my_name=# example: "Van de Poel"cl.register(username=my_username,email=my_email,password=my_password,firstname=my_firstname,name=my_name)# -- Log in --cl.login(username,password)# -- Log out --cl.logout()DatasetsManage the entire lifecyle of your datasets:createmanageversionlabelannotateimport/exportfromseemeimportDataset,DatasetContentType# -- Get datasets --datasets=cl.get_datasets()my_dataset=Dataset(name="Cloud classifier",description="Classify clouds from pictures",default_splits=True,# If `True`, adds 'train', 'valid', and 'test' default_splitscontent_type=DatasetContentType.IMAGES,multi_label=False}my_dataset=cl.create_dataset(my_dataset)Checkout thedataset documentationto see all possibilities and detailed guides.ModelsManage the entire lifecycle of your AI models:createmanageversionconverstpredictiimport/exportfromseemeimportModel,Framework,ApplicationType# -- Get models --models=cl.get_models()# -- Application ID --application_id=cl.get_application_id(base_framework=Framework.PYTORCH,framework=Framework.FASTAI,base_framework_version=str(torch.__version__),framework_version=str(fastai.__version__),application=ApplicationType.IMAGE_CLASSIFICATION)# -- Create model --model_name="Cloud classifier"description="Classify clouds from images"my_model=Model(name=model_name,description=description,application_id=application_id,auto_convert=True# Automatically converts your model to ONNX, CoreML, and TensorFlow Lite.)my_model=cl.create_model(my_model)model_file_location="my_exported_model.pkl"cl.upload_model(my_model.id,model_file_location)image_location="my_image.png"cl.inference(my_model.id,image_location)Checkout the [model] documentation](https://docs.seeme.ai/python-sdk/#models) to see all possibilities and detailed guides.JobsSchedule training, validation, and model conversion jobs with a simple command:fromseemeimportJob,JobItem,JobType,ValueTypejobs=cl.get_jobs()job=Job(name="v3 image classifier",description="A new dataset for an improved model",application_id=application_id,job_type=JobType.TRAINING,dataset_id=dataset_id,dataset_version_id=datset_version_id,model_id=model_id,model_version_id=model_version_id,items=[JobItem(name="image_size",value="224",value_type=ValueType.INT),JobItem(name="arch",value="resnet50",value_type=ValueType.TEXT)])ApplicationsSeeMe.aiautomates the full lifecycle of data and models for a wide range of AI applications, such as:image classificationobject detectionstructured datalanguage modelsmulti lingual text classificationobject character recognition (OCR)named entity recognition (NER)for a number of AI frameworks and their versions:fastaiONNXCore MLTensorFlow LitePyTorchYolo v4SpacyTesseractPaddleOCRLlama-cpp-pythonFor a full list of frameworks and their versions:# -- Get applications --all_applications=cl.get_applications()print(all_applications)SDK DocumentationFor more detailed SDK documentation seehttps://docs.seeme.ai.