[ERROR] [1533570199.196157]: bad callback: <bound method TLDetector.image_cb of <__main__.TLDetector object at 0x7f1fda105450>>
Traceback (most recent call last):
File "/opt/ros/kinetic/lib/python2.7/dist-packages/rospy/topics.py", line 750, in _invoke_callback
cb(msg)
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/tl_detector.py", line 148, in image_cb
light_wp, state = self.process_traffic_lights()
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/tl_detector.py", line 317, in process_traffic_lights
state = self.get_light_state(light)
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/tl_detector.py", line 275, in get_light_state
return self.light_classifier.get_classification(cv_image)
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/light_classification/tl_classifier.py", line 69, in get_classification
feed_dict={self.image_tensor: image_exp})
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 895, in run
run_metadata_ptr)
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1124, in _run
feed_dict_tensor, options, run_metadata)
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1321, in _do_run
options, run_metadata)
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)
InvalidArgumentError: NodeDef mentions attr 'identical_element_shapes' not in Op<name=TensorArrayV3; signature=size:int32 -> handle:resource, flow:float; attr=dtype:type; attr=element_shape:shape,default=<unknown>; attr=dynamic_size:bool,default=false; attr=clear_after_read:bool,default=true; attr=tensor_array_name:string,default=""; is_stateful=true>; NodeDef: Preprocessor/map/TensorArray = TensorArrayV3[clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=<unknown>, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"](Preprocessor/map/strided_slice). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: Preprocessor/map/TensorArray = TensorArrayV3[clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=<unknown>, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"](Preprocessor/map/strided_slice)]] Caused by op u'Preprocessor/map/TensorArray', defined at:
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/tl_detector.py", line 327, in <module>
TLDetector()
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/tl_detector.py", line 67, in __init__
self.light_classifier = TLClassifier(self.usingSimulator)
File "/home/novak/Carnd3/wow-now/ros/src/tl_detector/light_classification/tl_classifier.py", line 35, in __init__
tf.import_graph_def(od_graph_def, name='')
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/framework/importer.py", line 313, in import_graph_def
op_def=op_def)
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/novak/tensorflow1.3/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access InvalidArgumentError (see above for traceback): NodeDef mentions attr 'identical_element_shapes' not in Op<name=TensorArrayV3; signature=size:int32 -> handle:resource, flow:float; attr=dtype:type; attr=element_shape:shape,default=<unknown>; attr=dynamic_size:bool,default=false; attr=clear_after_read:bool,default=true; attr=tensor_array_name:string,default=""; is_stateful=true>; NodeDef: Preprocessor/map/TensorArray = TensorArrayV3[clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=<unknown>, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"](Preprocessor/map/strided_slice). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: Preprocessor/map/TensorArray = TensorArrayV3[clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=<unknown>, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"](Preprocessor/map/strided_slice)]]

tensorflow 模型不兼容的更多相关文章

  1. TensorFlow 模型优化工具包  —  训练后整型量化

    模型优化工具包是一套先进的技术工具包,可协助新手和高级开发者优化待部署和执行的机器学习模型.自推出该工具包以来,  我们一直努力降低机器学习模型量化的复杂性 (https://www.tensorfl ...

  2. [翻译] Tensorflow模型的保存与恢复

    翻译自:http://cv-tricks.com/tensorflow-tutorial/save-restore-tensorflow-models-quick-complete-tutorial/ ...

  3. Tensorflow模型的格式

    转载:https://cloud.tencent.com/developer/article/1009979 tensorflow模型的格式通常支持多种,主要有CheckPoint(*.ckpt).G ...

  4. 移动端目标识别(1)——使用TensorFlow Lite将tensorflow模型部署到移动端(ssd)之TensorFlow Lite简介

    平时工作就是做深度学习,但是深度学习没有落地就是比较虚,目前在移动端或嵌入式端应用的比较实际,也了解到目前主要有 caffe2,腾讯ncnn,tensorflow,因为工作用tensorflow比较多 ...

  5. 移动端目标识别(2)——使用TENSORFLOW LITE将TENSORFLOW模型部署到移动端(SSD)之TF Lite Developer Guide

    TF Lite开发人员指南 目录: 1 选择一个模型 使用一个预训练模型 使用自己的数据集重新训练inception-V3,MovileNet 训练自己的模型 2 转换模型格式 转换tf.GraphD ...

  6. 搭建 MobileNet-SSD 开发环境并使用 VOC 数据集训练 TensorFlow 模型

    原文地址:搭建 MobileNet-SSD 开发环境并使用 VOC 数据集训练 TensorFlow 模型 0x00 环境 OS: Ubuntu 1810 x64 Anaconda: 4.6.12 P ...

  7. tensorflow 模型保存与加载 和TensorFlow serving + grpc + docker项目部署

    TensorFlow 模型保存与加载 TensorFlow中总共有两种保存和加载模型的方法.第一种是利用 tf.train.Saver() 来保存,第二种就是利用 SavedModel 来保存模型,接 ...

  8. AI tensorflow模型文件

    tensorflow模型可以利用tf.train.Saver类保存成文件.一个模型包含下面四个文件. meta文件 存储计算图的protobuf. data-00000-of-00001文件和inde ...

  9. 构建分布式Tensorflow模型系列:CVR预估之ESMM

    https://zhuanlan.zhihu.com/p/42214716 本文是“基于Tensorflow高阶API构建大规模分布式深度学习模型系列”的第五篇,旨在通过一个完整的案例巩固一下前面几篇 ...

随机推荐

  1. JAVA 使用Dom4j 解析XML

    [转自] http://blog.csdn.net/yyywyr/article/details/38359049 解析XML的方式有很多,本文介绍使用dom4j解析xml. 1.环境准备 (1)下载 ...

  2. 【研究】Struts2-048漏洞

    1.1 漏洞背景 2017年7月7日,Apache Struts发布最新的安全公告,Apache Struts2-strus1-plugin插件存在远程代码执行的高危漏洞,漏洞编号为CVE-2017- ...

  3. kvm 虚拟网络命令操作

    2018-11-06 ```使用brctl命令创建网桥br1```# brctl addbr br1``` 删除网桥br1```# brctl delbr br1``` 将eth0端口加入网桥br1  ...

  4. PIE SDK矢量自定义渲染

    1. 功能简介 PIE SDK中关于矢量渲染提供了多种方案,包括简单渲染.分级渲染.唯一值渲染,这几种渲染方式具有一定的通用性,可以满足用户绝大多数的需求. 当面对复杂的业务,当前渲染方案无法满足用户 ...

  5. 启动Kafka

    启动zookeeper 使用命令查看zookeeper是否启动成功: 启动kafka Brokerr 使用命令查看kafka Broker是否启动更成功 在kafka中创建topic 'test' b ...

  6. MYSQL分区表详解

    分区表对用户来说是一个独立的逻辑表,但是底层是多个物理字表组成的.分区代码实际上是对一组底层表的句柄对象封装.对分区表的请求,都会通过句柄对象转化成储存引擎的接口调用.所以分区对于SQL层来说是一个完 ...

  7. Missing artifact com.oracle:ojdbc6:jar:11.2.0.1.0问题解决 ojdbc包pom.xml出错

    <!-- 添加oracle jdbc driver --> <dependency> <groupId>com.oracle</groupId> < ...

  8. 【计算机网络】详解HttpURLConnection

    请求响应流程 设置连接参数的方法 setAllowUserInteraction setDoInput setDoOutput setIfModifiedSince setUseCaches setD ...

  9. java多线程lock的使用

    看代码: package com.ming.thread.reentrantlock; import java.util.concurrent.locks.Lock; import java.util ...

  10. 已知tomcat应用名称,如何查询该应用端口号

    假设应用名称叫pear,并假设路径为:/datong/tomcat-pear/ 方法一,根据PID查找应用端口号,前提是应用已经运行 1,找到改应用的PID:ps -ef | grep pear | ...