keras/tensorflow环境搭建conda环境部署(conda和pip可以混用)

本文详细介绍了在Linux环境下如何安装Anaconda并创建虚拟环境,随后通过pip安装了包括NumPy、SciPy、Pillow等在内的多个科学计算与图像处理库,并特别针对TensorFlow 1.4.0的安装进行了说明,解决了一些旧版Linux中可能遇到的glibc版本不匹配的问题。

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1按照https://conda.io/docs/user-guide/install/index.html 的指引, 下载对应的conda,

  我的系统是linux.  在.bashrc 增加这一行

source /home/ubuntu/anaconda3/etc/profile.d/conda.sh

,不然无法使用caonda命令

 2    创建环境并且进入环境

conda create -n py3cpu python=3.6.2

然后进入环境conda  activate py36cpu

3 安装各种需要的包,版本可以按需要修改

pip install  numpy scipy Pillow cython matplotlib scikit-image keras==2.0.8   h5py  IPython
pip install opencv-python imgaug

pip install tensorflow==1.4.0

#如果是比较老的linux版本,提示glibc版本不符合的话请使用

#conda install --channel https://conda.anaconda.org/anaconda tensorflow=1.6.0

(most recent call last): File "run_VisionTextCLS.py", line 707, in <module> history = model.fit( File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 1105, in fit callbacks.on_train_batch_end(end_step, logs) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/callbacks.py", line 454, in on_train_batch_end self._call_batch_hook(ModeKeys.TRAIN, 'end', batch, logs=logs) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/callbacks.py", line 296, in _call_batch_hook self._call_batch_end_hook(mode, batch, logs) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/callbacks.py", line 316, in _call_batch_end_hook self._call_batch_hook_helper(hook_name, batch, logs) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/callbacks.py", line 360, in _call_batch_hook_helper hook(batch, numpy_logs) File "run_VisionTextCLS.py", line 102, in on_train_batch_end results = self.model.evaluate(self.val_dataset, verbose=0) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 1384, in evaluate self.reset_metrics() File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 1669, in reset_metrics m.reset_states() File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/metrics.py", line 253, in reset_states K.batch_set_value([(v, 0) for v in self.variables]) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/util/dispatch.py", line 201, in wrapper return target(*args, **kwargs) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/keras/backend.py", line 3706, in batch_set_value x.assign(np.asarray(value, dtype=dtype(x))) File "/usr/local/conda/envs/vitst/lib/python3.8/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 888, in assign raise ValueError( ValueError: Cannot assign to variable true_positives:0 due to variable shape (1,) and value shape () are incompatible出现上面问题的原因是什么
03-08
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