inference.py参考https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb模型验证使用这里提供的inference.py脚本,请将这个脚本和run.sh一起放到models/research目录,与object_detection和slim平行。 注意修改run.sh中的数据集目录为自己的数据集目录。
# imagenet_2012_validation_synset_labels.txt 这个文件中有50000行类别,有重复,与50000图片是一一对应的 labels=[l.strip()forlinopen(validation_labels_file).readlines()]# strip() 方法用于移除字符串头尾指定的字符(默认为空格或换行符)。 unique_labels=set(labels)# set() 函数创建一个无序不重复元素集...
Dockerfile for Myungchul Shin patches on syntaxnet https://github.com/dsindex/syntaxnet/blob/master/README_api.mdOriginal API work from David Mansfield https://github.com/dmansfield/parsey-mcparseface-apiTensorFlowhttps://github.com/tensorflow/tensorflow/...
Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks. - ylhz/tf_to_pytorch_model
代码 https://github.com/chenghuige/tensorflow-exp/blob/master/examples/sparse-tensor-classification/train-validate-share.py 来自<http://wiki.jikexueyuan.com/project/tensorflow-zh/how_tos/variable_scope/index.html>
models sacred_runs som_vae .gitignore LICENSE README.md requirements.txt setup.py README MIT license SOM-VAE model This repository contains a TensorFlow implementation of the self-organizing map variational autoencoder as described in the paperSOM-VAE: Interpretable Discrete Representation Learning on...
A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412) - dashayushman/TAC-GAN
简单粗暴TensorFlow | A Concise Handbook of TensorFlow 基于Eager Execution | Based on Eager Execution 重要:此版本(基于 TensorFlow 1.X)不再更新,基于 TensorFlow 2 的新版见 https://github.com/snowkylin/tensorflow-handbook 和https://tf.wiki 在线阅读 | Read online : https://v1.tf.wiki 备用地址...
该部分是对https://github.com/tensorflow/models/tree/master/research上面slim包… Sep 18, 2019 验证码识别(CNN方式和LSTM方式 Create README.md Nov 21, 2019 Dropout.py 增加神经中间层,为了防止过拟合,使用dropout来对部分神经元进行的训练(收敛速度会变慢) ...
源码链接:https://github.com/tensorflow/models/tree/master/research/deeplab 661.FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing 作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li 论文链接:https://arxiv.or...