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我使用的是java已经成功的训练和导出onnx模型,但是发现了一个问题yolov7导出的onnx模型体积大小在100-150m左右,这导致我使用java进行实时推理很慢。作为对比,我使用yolov5的20M左右的onnx模型推理响应都很快。 请问有办法进行优化吗?请问有办法进行优化吗?请问有办法进行优化吗? 期待您的回复
onnx模型:
yolov7结构:
The text was updated successfully, but these errors were encountered:
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我使用的是java已经成功的训练和导出onnx模型,但是发现了一个问题yolov7导出的onnx模型体积大小在100-150m左右,这导致我使用java进行实时推理很慢。作为对比,我使用yolov5的20M左右的onnx模型推理响应都很快。
请问有办法进行优化吗?请问有办法进行优化吗?请问有办法进行优化吗?
期待您的回复
onnx模型:
yolov7结构:
The text was updated successfully, but these errors were encountered: