Katsuya Hyodo

If I were to do the same thing, I would merge the normalization layers at the same time I generate the OpenVINO IR. - To adjust the conversion process, you...

**`--std`** ≒ **`--scale_values SCALE_VALUES`**

Here is an example. **`0.007874016 ≒ (1.0 / 127)`** ``` $INTEL_OPENVINO_DIR/deployment_tools/model_optimizer/mo.py \ --input_model model.onnx \ --input_shape [1,3,416,416] \ --data_type FP32 \ --mean_values [127,127,127] \ --scale_values [127,127,127] \ --output_dir openvino/${H}x${W}/FP32 $INTEL_OPENVINO_DIR/deployment_tools/model_optimizer/mo.py...

For normalization to the range 0 to 1. ```python $ python3 Python 3.8.10 (default, Jun 2 2021, 10:49:15) [GCC 9.4.0] on linux Type "help", "copyright", "credits" or "license" for more...

I always do this when normalizing to the range of -1.0 to 1.0. You should forget about 0.5. I haven't looked at the PyTorch implementation. ``` $INTEL_OPENVINO_DIR/deployment_tools/model_optimizer/mo.py \ --input_model model.onnx...

>The Normalization doesn't come from PyTorch, it comes from PaddleSeg and here is the code: Oh, I'm sorry. When I came back from having dinner with my family, I had...

Thanks! @szabi-luxonis

YOLOX (OpenVINO IR and Myriad Inference Blob, ONNX, etc...) 1. download_tiny.sh 2. download_nano.sh https://github.com/PINTO0309/PINTO_model_zoo/tree/main/132_YOLOX This is an old model that was converted within a day after YOLOX was officially released....

I used the adjusted training settings, added an image of the masked face and re-trained it and got about the same accuracy as in the paper. Thank you. I also...

I have already released the program, so I do not know what you want to know. It only uses two different models. Also, merging is impossible. btw, OpenVINO and NCS1...