Batch Image Inference Node

B

AI/ML/ONNX/Batch

Batch Image Inference

Run ONNX inference on multiple images in batches

onnx_batch_image_inferenceonnx

Inputs6

Outputs3

Security exposure10/10

Packageonnx

Ratings

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Input Pins

6

Input

Execution

exec_in

Initiate Execution

Model

Struct

model

ONNX Model Session

SchemaNodeOnnxSessionNodeOnnxSessionNodeOnnxSession1 fields

session_refstringrequired

Cache ID for Session

Schema enforced

Images

Generic

images

List of images to process

Batch Size

Integer

batch_size

Number of images per batch

Default 8

Input Size

Integer

input_size

Model input size

Default 224

Normalize

Boolean

normalize

Apply ImageNet normalization

Default true

Output Pins

3

Output

Execution

exec_out

Done

Results

Generic

results

Raw output tensors per image

Batch Result

Struct

batch_result

Batch processing summary

SchemaBatchResultBatchResultBatchResult3 fields

countinteger:uintrequired

Number of items processed

format uintmin 0

resultsArray<value>required

Individual results (as JSON values)

avg_time_msnumber:floatrequired

Processing time per item (ms)

format float

Node Info

Internal name

onnx_batch_image_inference

Category

AI/ML/ONNX/Batch

Version

1