Comments (5)
我跑通了,小米优化真的牛!
用骁龙845测试,GPU模式
1000*1000用时1-2s,内存占用~0.8G,比tflite好了n个数量级。
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@czczup 可以自行测试一下? 不同的硬件速度不相同, 另外在fast-style-transfer模型中没有找到Instance Norm, 你那边测试的和mace-models中的是同一个么?
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@czczup 可以自行测试一下? 不同的硬件速度不相同, 另外在fast-style-transfer模型中没有找到Instance Norm, 你那边测试的和mace-models中的是同一个么?
https://github.com/lengstrom/fast-style-transfer
我也是使用这个仓库训练的,是同一个模型
https://github.com/lengstrom/fast-style-transfer/blob/master/src/transform.py
在这个代码里有instance norm
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@czczup 用netron查看模型, 有这个op么?您看的模型文件的地址是?
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我看了一下另外一个文件夹:https://github.com/XiaoMi/mace-models/tree/master/realtime-style-transfer
这里面有性能测试。
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Related Issues (20)
- detection_output.cc is missing HOT 2
- sre_16, Exception: Unexpected fc input ndim. HOT 1
- deploy Yolov3 with mace HOT 4
- configure output for yolov3 model HOT 1
- Support object detection models HOT 2
- how to set input data, after kaldi convert to onnx model, HOT 1
- YOLOV3模型裁剪三个输出 HOT 1
- yolo v3的fps HOT 1
- How to make model: caffe ssd-mobilenet-v1 support hexagon dsp . HOT 1
- Is there any description on how the input for each model should be preprocessed? HOT 1
- Please provide training scripts (or at least more details) for realtime-style-transfer model. HOT 1
- run on PC HOT 5
- .yml中只有input和output的placeholder? HOT 6
- Nnet3 with input & i-vector
- Is there any plan to add EfficientDet into this repo? HOT 1
- how to add multi-inputs? or how to test the benchmark on multi inputs? HOT 4
- changing the input size of yolov3 HOT 3
- Support for tf.keras models(models from micro-models) HOT 1
- MobileAI Compute
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