Python2.7+virtualenv+CUDA 10.0版的pytorch v1.3.0 +运行人群计数crowdcount-mcnn网络

Python2.7

$ python2 -m virtualenv pytorchenv

$ source pytorchenv/bin/activate

$ pip install ipython

pytorch v1.3.0 # CUDA 10.0

$ pip install torch==1.3.0+cu100 torchvision==0.4.1+cu100 -f https://download.pytorch.org/whl/torch_stable.html

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Downloading https://download.pytorch.org/whl/cu100/torch-1.3.0%2Bcu100-cp27-cp27mu-linux_x86_64.whl (744.5MB)

Downloading https://download.pytorch.org/whl/cu100/torchvision-0.4.1%2Bcu100-cp27-cp27mu-linux_x86_64.whl (10.1MB)

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$ pip install ipython

或打开pycharm

====输入例子====

import torch as t

x = t.rand(5,3)

y = t.rand(5,3)

if t.cuda.is_available():

x = x.cuda()

y = y.cuda()

print(x+y)

=====有结果代表成功====

crowdcount-mcnn人群计数https://github.com/svishwa/crowdcount-mcnn，需要额外安装依赖：

pip2 install pandas

pip2 install opencv-python

pip2 install h5py

注意修改train.py代码：

# train_loss += loss.data[0] is pytorch0.3.1 codes, and >pytorch0.5 is error.

train_loss += loss.item()