rfdetr-alpr

12
license:apache-2.0
by
autolane
Image Model
OTHER
New
12 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usagepythononnx
import onnxruntime as ort
import numpy as np

session = ort.InferenceSession("rfdetr_alpr_optimized.onnx")
# Input: (1, 3, 576, 576) normalized to [0, 1]
outputs = session.run(None, {"images": input_tensor})
boxes, scores = outputs[0], outputs[1]
Input: (1, 3, 576, 576) normalized to [0, 1]python
import tensorrt as trt
import pycuda.driver as cuda

# Load engine
with open("license_plate_detector_int8.engine", "rb") as f:
    engine = trt.Runtime(trt.Logger()).deserialize_cuda_engine(f.read())

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