pip install failing on wrapt uninstall

[joemcglinchy]

Hello, I have a fresh conda environment and when running pip install DeepForest it fails when trying to uninstall wrapt:

Cannot uninstall 'wrapt'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

This is on windows 10.

[bw4sz]

Thanks for this issue. wrapt is not a module requirement of DeepForest and I've never heard of it before. Quick googling says that this is a windows tensorflow issue upstream of deepforest. tensorflow/tensorflow#30191 Let's try to get tensorflow installed before DeepForest. ``` conda update pip install tensorflow==1.14.0 ``` and we'll go from there.

…

On Thu, Dec 19, 2019 at 9:50 AM Joe McGlinchy ***@***.***> wrote: Hello, I have a fresh conda environment and when running pip install DeepForest it fails when trying to uninstall wrapt: Cannot uninstall 'wrapt'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall. This is on windows 10. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#56?email_source=notifications&email_token=AAJHBLDO56HS7WUYQIF7GXTQZOX75A5CNFSM4J5MDI2KYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IBW2DZQ>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAJHBLBKJRSC7LSWHCHE6NTQZOX75ANCNFSM4J5MDI2A> .

-- Ben Weinstein, Ph.D. Postdoctoral Fellow University of Florida http://benweinstein.weebly.com/

[bw4sz]

Note that DeepForest needs tensorflow < 2.0 and has been tested on tensorflow==1.14.0

[joemcglinchy]

thanks. I was able to get tensorflow installed using this suggestion tensorflow/tensorflow#30191 (comment)

However, the wheel for keras-retinanet still is not able to build.

[bw4sz]

May I see the logs? Can you confirm how you installed keras-retinanet? There isn't a wheel. It is right from the repo. The pip process is from the README.md ``` pip install DeepForest pip install git+git://github.com/bw4sz/keras-retinanet.git ``` Did DeepForest install?

On Thu, Dec 19, 2019 at 10:13 AM Joe McGlinchy ***@***.***> wrote: thanks. I was able to get tensorflow installed using this suggestion

tensorflow/tensorflow#30191 (comment)

…

However, the wheel for keras-retinanet still is not able to build. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

-- Ben Weinstein, Ph.D. Postdoctoral Fellow University of Florida http://benweinstein.weebly.com/

[bw4sz]

also, can you confirm what you did in the other issue, i'm making a windows install note in the docs:

https://deepforest.readthedocs.io/en/latest/installation.html#windows-installation

[joemcglinchy]

here's what I did:

>conda create -n deepforest
>pip install wrapt --upgrade --ignore-installed
>pip install tensorflow
>pip install DeepForest
Collecting DeepForest
  Using cached https://files.pythonhosted.org/packages/06/87/7444ebcfb0bf4f495445e465f4e12c6e4a106f673c336209ba855654663f/deepforest-0.2.6-py2.py3-none-any.whl
Requirement already satisfied: slidingwindow in c:\software\anaconda3\lib\site-packages (from DeepForest) (0.0.13)
Collecting tensorflow==1.14
  Using cached https://files.pythonhosted.org/packages/f7/08/25e47a53692c2e0dcd2211a493ddfe9007a5cd92e175d6dffa6169a0b392/tensorflow-1.14.0-cp37-cp37m-win_amd64.whl
Requirement already satisfied: matplotlib in c:\software\anaconda3\lib\site-packages (from DeepForest) (3.0.2)
Requirement already satisfied: xmltodict in c:\software\anaconda3\lib\site-packages (from DeepForest) (0.12.0)
Requirement already satisfied: pillow in c:\software\anaconda3\lib\site-packages (from DeepForest) (5.3.0)
Requirement already satisfied: opencv-python in c:\software\anaconda3\lib\site-packages (from DeepForest) (4.1.2.30)
Requirement already satisfied: tqdm in c:\software\anaconda3\lib\site-packages (from DeepForest) (4.28.1)
Requirement already satisfied: keras>2.3.0 in c:\software\anaconda3\lib\site-packages (from DeepForest) (2.3.1)
Requirement already satisfied: pyyaml in c:\software\anaconda3\lib\site-packages (from DeepForest) (3.13)
Requirement already satisfied: pandas in c:\software\anaconda3\lib\site-packages (from DeepForest) (0.23.4)
Requirement already satisfied: psutil in c:\software\anaconda3\lib\site-packages (from slidingwindow->DeepForest) (5.4.8)
Requirement already satisfied: numpy in c:\software\anaconda3\lib\site-packages (from slidingwindow->DeepForest) (1.17.4)
Requirement already satisfied: google-pasta>=0.1.6 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (0.1.8)
Requirement already satisfied: keras-preprocessing>=1.0.5 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (1.1.0)
Collecting tensorflow-estimator<1.15.0rc0,>=1.14.0rc0
  Using cached https://files.pythonhosted.org/packages/3c/d5/21860a5b11caf0678fbc8319341b0ae21a07156911132e0e71bffed0510d/tensorflow_estimator-1.14.0-py2.py3-none-any.whl
Requirement already satisfied: protobuf>=3.6.1 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (3.11.1)
Requirement already satisfied: termcolor>=1.1.0 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (1.1.0)
Requirement already satisfied: keras-applications>=1.0.6 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (1.0.8)
Requirement already satisfied: grpcio>=1.8.6 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (1.26.0)
Requirement already satisfied: wheel>=0.26 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (0.32.3)
Requirement already satisfied: astor>=0.6.0 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (0.8.1)
Requirement already satisfied: six>=1.10.0 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (1.12.0)
Requirement already satisfied: wrapt>=1.11.1 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (1.11.2)
Requirement already satisfied: gast>=0.2.0 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (0.2.2)
Collecting tensorboard<1.15.0,>=1.14.0
  Using cached https://files.pythonhosted.org/packages/91/2d/2ed263449a078cd9c8a9ba50ebd50123adf1f8cfbea1492f9084169b89d9/tensorboard-1.14.0-py3-none-any.whl
Requirement already satisfied: absl-py>=0.7.0 in c:\software\anaconda3\lib\site-packages (from tensorflow==1.14->DeepForest) (0.9.0)
Requirement already satisfied: cycler>=0.10 in c:\software\anaconda3\lib\site-packages (from matplotlib->DeepForest) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\software\anaconda3\lib\site-packages (from matplotlib->DeepForest) (1.0.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\software\anaconda3\lib\site-packages (from matplotlib->DeepForest) (2.3.0)
Requirement already satisfied: python-dateutil>=2.1 in c:\software\anaconda3\lib\site-packages (from matplotlib->DeepForest) (2.7.5)
Requirement already satisfied: scipy>=0.14 in c:\software\anaconda3\lib\site-packages (from keras>2.3.0->DeepForest) (1.1.0)
Requirement already satisfied: h5py in c:\software\anaconda3\lib\site-packages (from keras>2.3.0->DeepForest) (2.8.0)
Requirement already satisfied: pytz>=2011k in c:\software\anaconda3\lib\site-packages (from pandas->DeepForest) (2018.7)
Requirement already satisfied: setuptools in c:\software\anaconda3\lib\site-packages (from protobuf>=3.6.1->tensorflow==1.14->DeepForest) (42.0.2)
Requirement already satisfied: markdown>=2.6.8 in c:\software\anaconda3\lib\site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow==1.14->DeepForest) (3.0.1)
Requirement already satisfied: werkzeug>=0.11.15 in c:\software\anaconda3\lib\site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow==1.14->DeepForest) (0.14.1)
Installing collected packages: tensorflow-estimator, tensorboard, tensorflow, DeepForest
  Found existing installation: tensorflow-estimator 2.0.1
    Uninstalling tensorflow-estimator-2.0.1:
      Successfully uninstalled tensorflow-estimator-2.0.1
  Found existing installation: tensorboard 2.0.2
    Uninstalling tensorboard-2.0.2:
      Successfully uninstalled tensorboard-2.0.2
  Found existing installation: tensorflow 2.0.0
    Uninstalling tensorflow-2.0.0:
      Successfully uninstalled tensorflow-2.0.0
Successfully installed DeepForest-0.2.6 tensorboard-1.14.0 tensorflow-1.14.0 tensorflow-estimator-1.14.0

(dforest) C:\software\keras-retinanet>pip install git+git://github.com/bw4sz/keras-retinanet.git
Collecting git+git://github.com/bw4sz/keras-retinanet.git
  Cloning git://github.com/bw4sz/keras-retinanet.git to c:\users\jomc9287\appdata\local\temp\pip-req-build-my57su3f
  Running command git clone -q git://github.com/bw4sz/keras-retinanet.git 'C:\Users\jomc9287\AppData\Local\Temp\pip-req-build-my57su3f'
  Running command git submodule update --init --recursive -q
Requirement already satisfied: keras in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (2.3.1)
Requirement already satisfied: keras-resnet==0.1.0 in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (0.1.0)
Requirement already satisfied: six in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (1.12.0)
Requirement already satisfied: scipy in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (1.1.0)
Requirement already satisfied: cython in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (0.29.2)
Requirement already satisfied: Pillow in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (5.3.0)
Requirement already satisfied: opencv-python in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (4.1.2.30)
Requirement already satisfied: progressbar2 in c:\software\anaconda3\lib\site-packages (from keras-retinanet==0.5.1) (3.47.0)
Requirement already satisfied: numpy>=1.9.1 in c:\software\anaconda3\lib\site-packages (from keras->keras-retinanet==0.5.1) (1.17.4)
Requirement already satisfied: h5py in c:\software\anaconda3\lib\site-packages (from keras->keras-retinanet==0.5.1) (2.8.0)
Requirement already satisfied: pyyaml in c:\software\anaconda3\lib\site-packages (from keras->keras-retinanet==0.5.1) (3.13)
Requirement already satisfied: keras-applications>=1.0.6 in c:\software\anaconda3\lib\site-packages (from keras->keras-retinanet==0.5.1) (1.0.8)
Requirement already satisfied: keras-preprocessing>=1.0.5 in c:\software\anaconda3\lib\site-packages (from keras->keras-retinanet==0.5.1) (1.1.0)
Requirement already satisfied: python-utils>=2.3.0 in c:\software\anaconda3\lib\site-packages (from progressbar2->keras-retinanet==0.5.1) (2.3.0)
Building wheels for collected packages: keras-retinanet
  Building wheel for keras-retinanet (setup.py) ... error
  ERROR: Command errored out with exit status 1:
   command: 'c:\software\anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\jomc9287\\AppData\\Local\\Temp\\pip-req-build-my57su3f\\setup.py'"'"'; __file__='"'"'C:\\Users\\jomc9287\\AppData\\Local\\Temp\\pip-req-build-my57su3f\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\jomc9287\AppData\Local\Temp\pip-wheel-suvcjtwr' --python-tag cp37
       cwd: C:\Users\jomc9287\AppData\Local\Temp\pip-req-build-my57su3f\
  Complete output (93 lines):
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build\lib.win-amd64-3.7
  creating build\lib.win-amd64-3.7\keras_retinanet
  copying keras_retinanet\initializers.py -> build\lib.win-amd64-3.7\keras_retinanet
  copying keras_retinanet\losses.py -> build\lib.win-amd64-3.7\keras_retinanet
  copying keras_retinanet\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet
  creating build\lib.win-amd64-3.7\tests
  copying tests\test_losses.py -> build\lib.win-amd64-3.7\tests
  copying tests\__init__.py -> build\lib.win-amd64-3.7\tests
  creating build\lib.win-amd64-3.7\keras_retinanet\backend
  copying keras_retinanet\backend\cntk_backend.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
  copying keras_retinanet\backend\common.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
  copying keras_retinanet\backend\dynamic.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
  copying keras_retinanet\backend\tensorflow_backend.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
  copying keras_retinanet\backend\theano_backend.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
  copying keras_retinanet\backend\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
  creating build\lib.win-amd64-3.7\keras_retinanet\bin
  copying keras_retinanet\bin\convert_model.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
  copying keras_retinanet\bin\debug.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
  copying keras_retinanet\bin\evaluate.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
  copying keras_retinanet\bin\train.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
  copying keras_retinanet\bin\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
  creating build\lib.win-amd64-3.7\keras_retinanet\callbacks
  copying keras_retinanet\callbacks\coco.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
  copying keras_retinanet\callbacks\common.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
  copying keras_retinanet\callbacks\eval.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
  copying keras_retinanet\callbacks\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
  creating build\lib.win-amd64-3.7\keras_retinanet\layers
  copying keras_retinanet\layers\filter_detections.py -> build\lib.win-amd64-3.7\keras_retinanet\layers
  copying keras_retinanet\layers\_misc.py -> build\lib.win-amd64-3.7\keras_retinanet\layers
  copying keras_retinanet\layers\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\layers
  creating build\lib.win-amd64-3.7\keras_retinanet\models
  copying keras_retinanet\models\densenet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
  copying keras_retinanet\models\mobilenet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
  copying keras_retinanet\models\resnet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
  copying keras_retinanet\models\retinanet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
  copying keras_retinanet\models\vgg.py -> build\lib.win-amd64-3.7\keras_retinanet\models
  copying keras_retinanet\models\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\models
  creating build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\coco.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\csv_generator.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\generator.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\kitti.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\open_images.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\pascal_voc.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  copying keras_retinanet\preprocessing\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
  creating build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\anchors.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\coco_eval.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\colors.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\config.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\eval.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\gpu.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\image.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\keras_version.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\model.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\tf_version.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\transform.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\visualization.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  copying keras_retinanet\utils\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
  creating build\lib.win-amd64-3.7\tests\backend
  copying tests\backend\test_common.py -> build\lib.win-amd64-3.7\tests\backend
  copying tests\backend\__init__.py -> build\lib.win-amd64-3.7\tests\backend
  creating build\lib.win-amd64-3.7\tests\layers
  copying tests\layers\test_filter_detections.py -> build\lib.win-amd64-3.7\tests\layers
  copying tests\layers\test_misc.py -> build\lib.win-amd64-3.7\tests\layers
  copying tests\layers\__init__.py -> build\lib.win-amd64-3.7\tests\layers
  creating build\lib.win-amd64-3.7\tests\models
  copying tests\models\test_densenet.py -> build\lib.win-amd64-3.7\tests\models
  copying tests\models\test_mobilenet.py -> build\lib.win-amd64-3.7\tests\models
  copying tests\models\__init__.py -> build\lib.win-amd64-3.7\tests\models
  creating build\lib.win-amd64-3.7\tests\preprocessing
  copying tests\preprocessing\test_csv_generator.py -> build\lib.win-amd64-3.7\tests\preprocessing
  copying tests\preprocessing\test_generator.py -> build\lib.win-amd64-3.7\tests\preprocessing
  copying tests\preprocessing\__init__.py -> build\lib.win-amd64-3.7\tests\preprocessing
  creating build\lib.win-amd64-3.7\tests\utils
  copying tests\utils\test_anchors.py -> build\lib.win-amd64-3.7\tests\utils
  copying tests\utils\test_transform.py -> build\lib.win-amd64-3.7\tests\utils
  copying tests\utils\__init__.py -> build\lib.win-amd64-3.7\tests\utils
  running build_ext
  cythoning keras_retinanet/utils/compute_overlap.pyx to keras_retinanet/utils\compute_overlap.c
  c:\software\anaconda3\lib\site-packages\Cython\Compiler\Main.py:367: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: C:\Users\jomc9287\AppData\Local\Temp\pip-req-build-my57su3f\keras_retinanet\utils\compute_overlap.pyx
    tree = Parsing.p_module(s, pxd, full_module_name)
  building 'keras_retinanet.utils.compute_overlap' extension
  creating build\temp.win-amd64-3.7
  creating build\temp.win-amd64-3.7\Release
  creating build\temp.win-amd64-3.7\Release\keras_retinanet
  creating build\temp.win-amd64-3.7\Release\keras_retinanet\utils
  cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MT -Ic:\software\anaconda3\include -Ic:\software\anaconda3\include -Ic:\software\anaconda3\lib\site-packages\numpy\core\include /Tckeras_retinanet/utils\compute_overlap.c /Fobuild\temp.win-amd64-3.7\Release\keras_retinanet/utils\compute_overlap.obj
  error: command 'cl.exe' failed: No such file or directory
  ----------------------------------------
  ERROR: Failed building wheel for keras-retinanet
  Running setup.py clean for keras-retinanet
Failed to build keras-retinanet
Installing collected packages: keras-retinanet
    Running setup.py install for keras-retinanet ... error
    ERROR: Command errored out with exit status 1:
     command: 'c:\software\anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\jomc9287\\AppData\\Local\\Temp\\pip-req-build-my57su3f\\setup.py'"'"'; __file__='"'"'C:\\Users\\jomc9287\\AppData\\Local\\Temp\\pip-req-build-my57su3f\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\jomc9287\AppData\Local\Temp\pip-record-wzkt79mq\install-record.txt' --single-version-externally-managed --compile
         cwd: C:\Users\jomc9287\AppData\Local\Temp\pip-req-build-my57su3f\
    Complete output (91 lines):
    running install
    running build
    running build_py
    creating build
    creating build\lib.win-amd64-3.7
    creating build\lib.win-amd64-3.7\keras_retinanet
    copying keras_retinanet\initializers.py -> build\lib.win-amd64-3.7\keras_retinanet
    copying keras_retinanet\losses.py -> build\lib.win-amd64-3.7\keras_retinanet
    copying keras_retinanet\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet
    creating build\lib.win-amd64-3.7\tests
    copying tests\test_losses.py -> build\lib.win-amd64-3.7\tests
    copying tests\__init__.py -> build\lib.win-amd64-3.7\tests
    creating build\lib.win-amd64-3.7\keras_retinanet\backend
    copying keras_retinanet\backend\cntk_backend.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
    copying keras_retinanet\backend\common.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
    copying keras_retinanet\backend\dynamic.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
    copying keras_retinanet\backend\tensorflow_backend.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
    copying keras_retinanet\backend\theano_backend.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
    copying keras_retinanet\backend\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\backend
    creating build\lib.win-amd64-3.7\keras_retinanet\bin
    copying keras_retinanet\bin\convert_model.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
    copying keras_retinanet\bin\debug.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
    copying keras_retinanet\bin\evaluate.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
    copying keras_retinanet\bin\train.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
    copying keras_retinanet\bin\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\bin
    creating build\lib.win-amd64-3.7\keras_retinanet\callbacks
    copying keras_retinanet\callbacks\coco.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
    copying keras_retinanet\callbacks\common.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
    copying keras_retinanet\callbacks\eval.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
    copying keras_retinanet\callbacks\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\callbacks
    creating build\lib.win-amd64-3.7\keras_retinanet\layers
    copying keras_retinanet\layers\filter_detections.py -> build\lib.win-amd64-3.7\keras_retinanet\layers
    copying keras_retinanet\layers\_misc.py -> build\lib.win-amd64-3.7\keras_retinanet\layers
    copying keras_retinanet\layers\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\layers
    creating build\lib.win-amd64-3.7\keras_retinanet\models
    copying keras_retinanet\models\densenet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
    copying keras_retinanet\models\mobilenet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
    copying keras_retinanet\models\resnet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
    copying keras_retinanet\models\retinanet.py -> build\lib.win-amd64-3.7\keras_retinanet\models
    copying keras_retinanet\models\vgg.py -> build\lib.win-amd64-3.7\keras_retinanet\models
    copying keras_retinanet\models\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\models
    creating build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\coco.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\csv_generator.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\generator.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\kitti.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\open_images.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\pascal_voc.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    copying keras_retinanet\preprocessing\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\preprocessing
    creating build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\anchors.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\coco_eval.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\colors.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\config.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\eval.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\gpu.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\image.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\keras_version.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\model.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\tf_version.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\transform.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\visualization.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    copying keras_retinanet\utils\__init__.py -> build\lib.win-amd64-3.7\keras_retinanet\utils
    creating build\lib.win-amd64-3.7\tests\backend
    copying tests\backend\test_common.py -> build\lib.win-amd64-3.7\tests\backend
    copying tests\backend\__init__.py -> build\lib.win-amd64-3.7\tests\backend
    creating build\lib.win-amd64-3.7\tests\layers
    copying tests\layers\test_filter_detections.py -> build\lib.win-amd64-3.7\tests\layers
    copying tests\layers\test_misc.py -> build\lib.win-amd64-3.7\tests\layers
    copying tests\layers\__init__.py -> build\lib.win-amd64-3.7\tests\layers
    creating build\lib.win-amd64-3.7\tests\models
    copying tests\models\test_densenet.py -> build\lib.win-amd64-3.7\tests\models
    copying tests\models\test_mobilenet.py -> build\lib.win-amd64-3.7\tests\models
    copying tests\models\__init__.py -> build\lib.win-amd64-3.7\tests\models
    creating build\lib.win-amd64-3.7\tests\preprocessing
    copying tests\preprocessing\test_csv_generator.py -> build\lib.win-amd64-3.7\tests\preprocessing
    copying tests\preprocessing\test_generator.py -> build\lib.win-amd64-3.7\tests\preprocessing
    copying tests\preprocessing\__init__.py -> build\lib.win-amd64-3.7\tests\preprocessing
    creating build\lib.win-amd64-3.7\tests\utils
    copying tests\utils\test_anchors.py -> build\lib.win-amd64-3.7\tests\utils
    copying tests\utils\test_transform.py -> build\lib.win-amd64-3.7\tests\utils
    copying tests\utils\__init__.py -> build\lib.win-amd64-3.7\tests\utils
    running build_ext
    skipping 'keras_retinanet/utils\compute_overlap.c' Cython extension (up-to-date)
    building 'keras_retinanet.utils.compute_overlap' extension
    creating build\temp.win-amd64-3.7
    creating build\temp.win-amd64-3.7\Release
    creating build\temp.win-amd64-3.7\Release\keras_retinanet
    creating build\temp.win-amd64-3.7\Release\keras_retinanet\utils
    cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MT -Ic:\software\anaconda3\include -Ic:\software\anaconda3\include -Ic:\software\anaconda3\lib\site-packages\numpy\core\include /Tckeras_retinanet/utils\compute_overlap.c /Fobuild\temp.win-amd64-3.7\Release\keras_retinanet/utils\compute_overlap.obj
    error: command 'cl.exe' failed: No such file or directory
    ----------------------------------------
ERROR: Command errored out with exit status 1: 'c:\software\anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\jomc9287\\AppData\\Local\\Temp\\pip-req-build-my57su3f\\setup.py'"'"'; __file__='"'"'C:\\Users\\jomc9287\\AppData\\Local\\Temp\\pip-req-build-my57su3f\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\jomc9287\AppData\Local\Temp\pip-record-wzkt79mq\install-record.txt' --single-version-externally-managed --compile Check the logs for full command output.

[bw4sz]

Couple quick things. But I'm going to open up an azure windows instance to try to replicate.

pip install tensorflow

will give you 2.0, but < 2.0 is required by DeepForest, which is why you can see that pip install DeepForest uninstalls the tensorflow you just installed, and then installs tensorflow 1.14.0. I'll test making any < 2.0 available, but for the moment

pip install tensorflow==1.14.0 

is preferred.

For retinanet, I can see that you actually install fine, its building the C library after install which fails. That message means you do not have a valid c++ compiler on path.

https://stackoverflow.com/questions/41724445/python-pip-on-windows-command-cl-exe-failed

After we finish i'll try to brainstorm ways to wrap this together, maybe with pyinstaller for windows.

[bw4sz]

I don't have a ton of experience here, i switch to mac for exactly this reason. But my strategy used to be to use the visual studio build tools and add them to path https://visualstudio.microsoft.com/downloads/#build-tools-for-visual-studio-2017 you don't need the whole visual studio (so big), just the tiny build tools. I'm looking into a windows build to create wheels, or conda forge

…

On Fri, Dec 20, 2019 at 8:39 AM Ben Weinstein ***@***.***> wrote: Couple quick things. But I'm going to open up an azure windows instance to try to replicate. pip install tensorflow will give you 2.0, but < 2.0 is required by DeepForest, which is why you can see that pip install DeepForest uninstalls the tensorflow you just installed, and then installs tensorflow 1.14.0. I'll test making any < 2.0 available, but for the moment pip install tensorflow==1.14.0 is preferred. For retinanet, I can see that you actually install file, its building the C library after install which fails. You do not have a valid c++ compiler on path. https://stackoverflow.com/questions/41724445/python-pip-on-windows-command-cl-exe-failed After we finish i'll try to brainstorm ways to wrap this together, maybe with pyinstaller for windows. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#56?email_source=notifications&email_token=AAJHBLFIQO4IKLWIXDBRP7TQZTYLXA5CNFSM4J5MDI2KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHNNASY#issuecomment-567988299>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAJHBLAUOKXHSAIDQVEYF73QZTYLXANCNFSM4J5MDI2A> .

-- Ben Weinstein, Ph.D. Postdoctoral Fellow University of Florida http://benweinstein.weebly.com/

[bw4sz]

This might be sufficient, https://wiki.python.org/moin/WindowsCompilers

will test on azure

[bw4sz]

@joemcglinchy , I'm building a separate wheel for windows for the compiled c++ code. I will update here.

[bw4sz]

#60 new compiled wheels for many python version and operating systems, this should make install much easier.

On a new azure windows 2019 data science image (https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/)

benweinstein@windowstest C:\Users\benweinstein>conda create python=3.6 -n test
(test) benweinstein@windowstest C:\Users\benweinstein>pip install DeepForest
Collecting DeepForest
  Downloading https://files.pythonhosted.org/packages/71/6e/a88757c0f580c2647527c0a786d19d0bb46a4b5d8ee96eae9acb35fb25cd/deepforest-0.2.8-cp36-cp36m-win_a
md64.whl (8.2MB)
...
Successfully built keras-resnet gast absl-py termcolor wrapt
Installing collected packages: six, numpy, h5py, pyyaml, scipy, keras-preprocessing, keras-applications, keras, cycler, kiwisolver, python-dateutil, pypar
sing, matplotlib, astor, grpcio, gast, absl-py, google-pasta, markdown, protobuf, werkzeug, tensorboard, tensorflow-estimator, termcolor, wrapt, tensorflo
w, Pillow, pytz, pandas, tqdm, psutil, slidingwindow, keras-resnet, opencv-python, python-utils, progressbar2, xmltodict, DeepForest
Successfully installed DeepForest-0.2.8 Pillow-7.0.0 absl-py-0.9.0 astor-0.8.1 cycler-0.10.0 gast-0.3.2 google-pasta-0.1.8 grpcio-1.26.0 h5py-2.10.0 keras
-2.3.1 keras-applications-1.0.8 keras-preprocessing-1.1.0 keras-resnet-0.1.0 kiwisolver-1.1.0 markdown-3.1.1 matplotlib-3.1.2 numpy-1.18.1 opencv-python-4
.1.2.30 pandas-0.25.3 progressbar2-3.47.0 protobuf-3.11.2 psutil-5.6.7 pyparsing-2.4.6 python-dateutil-2.8.1 python-utils-2.3.0 pytz-2019.3 pyyaml-5.3 sci
py-1.4.1 six-1.13.0 slidingwindow-0.0.13 tensorboard-1.14.0 tensorflow-1.14.0 tensorflow-estimator-1.14.0 termcolor-1.1.0 tqdm-4.41.1 werkzeug-0.16.0 wrap
t-1.11.2 xmltodict-0.12.0

Check the code on the front of the repo

(test) benweinstein@windowstest C:\Users\benweinstein>python
Python 3.6.10 |Anaconda, Inc.| (default, Jan  7 2020, 15:18:16) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib.pyplot as plt
>>> from deepforest import deepforest
Using TensorFlow backend.
>>> from deepforest import get_data
>>>
>>> test_model = deepforest.deepforest()
Reading config file: c:\Miniconda\envs\test\lib\site-packages\deepforest\data\deepforest_config.yml
A blank deepforest object created. To perform prediction, either train or load an existing model.
>>> test_model.use_release()
Downloading model from DeepForest release v0.2.1, see https://github.com/weecology/DeepForest/releases/tag/v0.2.1 for details
finetuned_weights_20191126_170710.h5: 146MB [00:03, 37.7MB/s]
Model was downloaded and saved to c:\Miniconda\envs\test\lib\site-packages\deepforest\data/NEON.h5
Loading pre-built model: https://github.com/weecology/DeepForest/releases/tag/v0.2.1
WARNING:tensorflow:From c:\Miniconda\envs\test\lib\site-packages\keras\backend\tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please u
se tf.nn.max_pool2d instead.

2020-01-09 18:00:20.663049: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compil
ed to use: AVX2
tracking <tf.Variable 'Variable:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_1:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_2:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_3:0' shape=(9, 4) dtype=float32> anchors
tracking <tf.Variable 'Variable_4:0' shape=(9, 4) dtype=float32> anchors
WARNING:tensorflow:From c:\Miniconda\envs\test\lib\site-packages\keras_retinanet\backend\tensorflow_backend.py:104: add_dispatch_support.<locals>.wrapper
(from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
>>>
>>> #predict image
... image_path = get_data("OSBS_029.tif")
>>> image = test_model.predict_image(image_path = image_path)

Looks good to me. Closing. Feel free to open if new install fails.