ONNX

保姆教程 | YOLOv5在建筑工地中安全帽佩戴检测的应用

由 孤街浪徒 提交于 2021-02-17 04:31:21
点击上方 “ 机器学习与生成对抗网络 ”，关注"星标" 获取有趣、好玩的前沿干货！ 教程来自： https://github.com/PeterH0323/Smart_Construction 编辑:AI深度前沿视线 一、YOLO v5训练自己数据集教程 1.1 创建自己的数据集配置文件 1.2 创建每个图片对应的标签文件 1.3 文件放置规范 1.4 聚类得出先验框（可选） 1.5 选择一个你需要的模型 1.6 开始训练 1.7 看训练之后的结果 二、侦测 三、检测危险区域内是否有人 3.1 危险区域标注方式 3.2 执行侦测 3.3 效果：在危险区域里面的人体会被 红色框 选出来 四、生成 ONNX 五、增加数据集的分类 该项目是使用 YOLOv5 v2.x 来训练在智能工地安全领域中头盔目标检测的应用,先来一波演示！ 指标 yolov5s 为基础训练， epoch = 50 分类 P R mAP0.5 总体 0.884 0.899 0.888 人体 0.846 0.893 0.877 头 0.889 0.883 0.871 安全帽 0.917 0.921 0.917 对应的 权重文件 ：https://pan.baidu.com/share/init?surl=ELPhtW-Q4G8UqEr4YrV_5A，提取码: b981 yolov5m 为基础训练， epoch =

Tensorflow to ONNX conversion

由 限于喜欢 提交于 2021-02-10 20:22:44
问题 I'm currently trying to convert a saved (and working) .pb file that I created with this tutorial (https://github.com/thtrieu/darkflow) into a onnx file. I'm using winML tools at the moment but the result of the conversion doesn't work at all (the input parameters are wrong + the whole architecture is not correct). My input parameter (as specified on the very bottom of the readme): input:0 Output node: ouput:0 I want to use the converted model inside a UWP application that's running on a

Tensorflow to ONNX conversion

由 懵懂的女人 提交于 2021-02-10 20:19:37
问题 I'm currently trying to convert a saved (and working) .pb file that I created with this tutorial (https://github.com/thtrieu/darkflow) into a onnx file. I'm using winML tools at the moment but the result of the conversion doesn't work at all (the input parameters are wrong + the whole architecture is not correct). My input parameter (as specified on the very bottom of the readme): input:0 Output node: ouput:0 I want to use the converted model inside a UWP application that's running on a

How could I convert onnx model to tensorflow saved model?

由 感情迁移 提交于 2021-02-07 06:56:43
问题 I am trying to use tf-serving to deploy my torch model. I have exported my torch model to onnx. How could I generate the pb model for tf-serving ? 回答1: Use the onnx/onnx-tensorflow converter tool as a Tensorflow backend for ONNX. Install onnx-tensorflow: pip install onnx-tf Convert using the command line tool: onnx-tf convert -t tf -i /path/to/input.onnx -o /path/to/output.pb Alternatively, you can convert through the python API. import onnx from onnx_tf.backend import prepare onnx_model =

How could I convert onnx model to tensorflow saved model?

由 耗尽温柔 提交于 2021-02-07 06:56:21
问题 I am trying to use tf-serving to deploy my torch model. I have exported my torch model to onnx. How could I generate the pb model for tf-serving ? 回答1: Use the onnx/onnx-tensorflow converter tool as a Tensorflow backend for ONNX. Install onnx-tensorflow: pip install onnx-tf Convert using the command line tool: onnx-tf convert -t tf -i /path/to/input.onnx -o /path/to/output.pb Alternatively, you can convert through the python API. import onnx from onnx_tf.backend import prepare onnx_model =

PyTorch OCR模型的安卓端部署

由 风格不统一 提交于 2021-01-30 05:53:25
开发环境选择 本文操作系统为Windows，因为Windows上的安卓模拟器选择较多，并且真机调试也比较方便； 交叉编译在Windows和Ubuntu上都进行了尝试，都可行，但是如果是Ubuntu上交叉编译之后再挪到Windows的话，容易出幺蛾子； 我目前使用的最稳定的工具版本组合是：ndk18、androidstudio4.1、cmake3.10、gradle6.5、MinGW（CodeBlocks自带）。 1. PyTorch模型转NCNN 这一小节是介绍如何将自己重新训练过的PyTorch模型转成ncnn，如果没有重训练需求的话，可以直接跳过这一节。 （1） 整体步骤 理想情况下，从PyTorch转到ncnn只需要下面两步: PyTorch转ONNX torch.onnx._export(model, x, path, opset_version=11) ONNX转NCNN ./onnx2ncnn model.onnx model.param model.bin 遇到问题的适合解决思路如下： convert.png 下面介绍一下我在做ChineseOCRLite中的PSENet模型转换的过程中遇到的问题。 （2）实际操作的时候可能会遇到各种问题 问题1：ReLU6不支持 概述：ReLU6算子在转换的时候容易出现不支持的情况，需要使用其他算子替代 解决：使用torch

Issues with onnxruntime on Ubuntu 16.04

由 笑着哭i 提交于 2021-01-29 16:57:05
问题 I'm trying to run inference on an ONNX model on Ubuntu 16.04 using onnxruntime. But the import statement gives me this error: >>> import onnxruntime /opt/conda/lib/python3.6/site-packages/onnxruntime/capi/_pybind_state.py:13: UserWarning: Cannot load onnxruntime.capi. Error: '/opt/conda/lib/python3.6/site-packages/onnxruntime/capi/onnxruntime_pybind11_state.cpython-36m-x86_64-linux-gnu.so: cannot enable executable stack as shared object requires: Permission denied' warnings.warn("Cannot load

Can't convert Core ML model to Onnx (then to Tensorflow Lite)

由 帅比萌擦擦* 提交于 2021-01-27 19:51:26
问题 I'm trying to convert a trained Core ML model to TensorFlow Lite. I find I need convert it to Onnx first. The problems is that I get errors. I've tried with different versions of python, onnxmltools, winmltools and it doesn't seems to work. I also tried docker image of onnx ecosystem with same result. Can any one help me with it? Thanks in advance. Script I used: import coremltools import onnxmltools input_coreml_model = '../model.mlmodel' output_onnx_model = '../model.onnx' coreml_model =

How to resolve the error “cannot import name 'string_int_label_map_pb2' from 'object_detection.protos'”

由 ⅰ亾dé卋堺 提交于 2020-12-27 07:23:54
问题 My friends and I are partaking in a hackathon and are stuck on this one tutorial on training an object detection model: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html But after three people have tried to follow the above tutorial to the letter, we are all stuck on the creating TfRecord step: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#create-tensorflow-records We get the error message: ImportError: cannot

How to resolve the error “cannot import name 'string_int_label_map_pb2' from 'object_detection.protos'”

由 被刻印的时光 ゝ 提交于 2020-12-27 07:23:32
问题 My friends and I are partaking in a hackathon and are stuck on this one tutorial on training an object detection model: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html But after three people have tried to follow the above tutorial to the letter, we are all stuck on the creating TfRecord step: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#create-tensorflow-records We get the error message: ImportError: cannot
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