记录一下常用的pycharm_anconda命令
conda create -n tf-gpu python=3.5
source activate tf-gpu
source deactivate tf-gpu
source activate tf-gpu
conda remove -n tf-gpu –all
conda env list
sudo cp cuda/lib64/* /usr/local/cuda-11.0/lib64/
sudo cp cuda/include/* /usr/local/cuda-11.0/include/
pip install tensorflow-gpu==2.4 -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
source activate opencv
python
import tensorflow as tf
print(‘GPU’, tf.test.is_gpu_available())
python tools/test_lanenet.py --weights_path model/New_Tusimple_Lanenet_Model_Weights/tusimple_lanenet_vgg.ckpt --image_path data/tusimple_test_image/0.jpg
tools/test_lanenet.py –weights_path model/New_Tusimple_Lanenet_Model_Weights/tusimple_lanenet_vgg.ckpt --image_path data/tusimple_test_image/0.jpg
source ~/.bashrc
source activate tf-gpu-1.14
conda install tensorflow-gpu==1.14
source activate tf-gpu-1.14