frommaiximportcamera,display,image,nnclassifier=nn.Classifier(model="/root/models/mobilenetv2.mud")cam=camera.Camera(classifier.input_width(),classifier.input_height(),classifier.input_format())disp=display.Display()while1:img=cam.read()res=classifier.classify(img)max_idx,max_prob=res[0]msg=f...
- Code: https://github.com/k8xu/amodal ### Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder - Paper: https://arxiv.org/abs/2403.10255 - Code: https://github.com/zhenshij/arbitrary-scale-diffusion ### Atlantis: Enabling Underwat...
Classifier CreateImageRegionsOptionalParameter CreateImagesFromDataOptionalParameter CreateImageTagsOptionalParameter CreateProjectOptionalParameter CreateTagOptionalParameter CustomVisionError CustomVisionErrorCodes CustomVisionErrorException Domain DomainType Export Ex...
WorkloadClassifierResource WorkloadGroupCollection WorkloadGroupData WorkloadGroupResource Azure.ResourceManager.Sql.Mocking Azure.ResourceManager.Sql.Models SQL Virtual Machine Stack HCI Storage Stream Analytics Subscriptions Support Synapse Tables Tr...
WorkloadClassifier BeginCreateOrUpdate (this Microsoft.Azure.Management.Sql.IWorkloadClassifiersOperations operations, string resourceGroupName, string serverName, string databaseName, string workloadGroupName, string workloadClassifierName, Microsoft.Azure.Management.Sql.Models.WorkloadCl...
{maven-shade-plugin.version}</version> <executions> <execution> <id>shade-main1</id> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <shadedArtifactAttached>true</shadedArtifactAttached> <shadedClassifierName>main1</shadedClassifierName> <transformers> <transformer ...
Text Classifier Analyze sentiment of messages Example: Image classifier with a few lines of code If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code: import turicreate as tc # Load data data = tc.SFrame('photoLabel.s...
Example: Image classifier with a few lines of code If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code: importturicreateastc# Load datadata=tc.SFrame('photoLabel.sframe')# Create a modelmodel=tc.image_classifier.create...
Example: Image classifier with a few lines of code If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code: importturicreateastc# Load datadata=tc.SFrame('photoLabel.sframe')# Create a modelmodel=tc.image_classifier.create...
Demo: Image Annotation with crowd-bounding-box Demo: Text Intent with crowd-classifier Create a custom workflow using the API Create a Labeling Job Built-in Task Types Create instruction pages Create a Labeling Job (Console) Create a Labeling Job (API) Create a streaming labeling job Use Amazon...