tta_wrapper
tta_wrapper copied to clipboard
import tta_wrapper throwing 'Syntax error'
Below is the traceback and the libraries installed in my conda env. My suspect is Python 3.5 let me know how to resolve this. I Believe I need to update the Python 3.5 to 3.7 without disturbing the environment( idk how to do it ) suggestions are welcome
> Traceback (most recent call last):
File "C:\Users\admin\Miniconda3\envs\machine_learning\lib\site-packages\IPython\core\interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-25-168b6627f61f>", line 1, in <module>
import tta_wrapper
File "C:\Users\admin\Miniconda3\envs\machine_learning\lib\site-packages\tta_wrapper\__init__.py", line 1, in <module>
from .wrappers import tta_segmentation
File "C:\Users\admin\Miniconda3\envs\machine_learning\lib\site-packages\tta_wrapper\wrappers.py", line 4, in <module>
from .layers import Repeat, TTA, Merge
File "C:\Users\admin\Miniconda3\envs\machine_learning\lib\site-packages\tta_wrapper\layers.py", line 58
raise ValueError(f'Wrong merge type {type}')
^
SyntaxError: invalid syntax
List of libraries installed in my conda env :
Name | Version | Build |
---|---|---|
absl-py | 0.2.0 | |
absl-py | 0.1.11 | |
absl-py | 0.1.10 | |
absl-py | 0.1.13 | |
alabaster | 0.7.10 | py35h3a808de_0 |
albumentations | 0.4.1 | |
anaconda-client | 1.6.14 | py35_0 |
asn1crypto | 0.24.0 | py35_0 |
astor | 0.6.2 | |
babel | 2.5.3 | py35_0 |
beautifulsoup4 | 4.6.0 | |
bleach | 2.1.3 | py35_0 |
bleach | 1.5.0 | |
bokeh | 0.12.15 | py35_0 |
ca-certificates | 2018.03.07 | 0 |
certifi | 2018.4.16 | py35_0 |
cffi | 1.11.5 | py35h945400d_0 |
chardet | 3.0.4 | py35h177e1b7_1 |
click | 6.7 | py35h10df73f_0 |
cliff | 2.8.1 | |
cloudpickle | 0.5.2 | py35_1 |
clyent | 1.2.2 | py35h3cd9751_1 |
cmd2 | 0.8.5 | |
colorama | 0.3.9 | py35h32a752f_0 |
configparser | 3.5.0 | |
cryptography | 2.2.1 | py35hfa6e2cd_0 |
cssselect | 1.0.3 | |
cycler | 0.10.0 | py35hcc71164_0 |
cytoolz | 0.9.0.1 | py35hfa6e2cd_0 |
dask | 0.17.2 | py35_0 |
dask-core | 0.17.2 | py35_0 |
decorator | 4.2.1 | py35_0 |
decorator | 4.3.0 | |
distributed | 1.21.4 | py35_0 |
docutils | 0.14 | py35h8ccb97f_0 |
efficientnet | 1.0.0 | |
entrypoints | 0.2.3 | py35hb91ced9_2 |
ffmpeg | 4 | hf48ec3a_0 |
freetype | 2.8.1 | vc14_0 |
gast | 0.2.0 | |
grpcio | 1.11.0 | |
grpcio | 1.10.0 | |
h5py | 2.7.1 | py35hb2c3add_0 |
hdf5 | 1.10.1 | vc14hb361328_0 |
heapdict | 1.0.0 | py35_2 |
html5lib | 1 | |
html5lib | 1.0.1 | py35h047fa9f_0 |
icc_rt | 2017.0.4 | h97af966_0 |
icu | 58.2 | vc14_0 |
idna | 2.6 | py35h8dcb9ae_1 |
image-classifiers | 1.0.0 | |
imageio | 2.1.2 | |
imageio | 2.3.0 | py35_0 |
imagesize | 1.0.0 | py35_0 |
imgaug | 0.2.6 | |
intel-openmp | 2018.0.0 | 8 |
ipykernel | 4.8.2 | py35_0 |
ipython | 6.2.1 | py35h4a2ac14_1 |
ipython_genutils | 0.2.0 | py35ha709e79_0 |
ipywidgets | 7.1.2 | py35_0 |
jedi | 0.11.1 | py35_1 |
jinja2 | 2.1 | py35hdf652bb_0 |
jpeg | 9b | vc14_2 |
jsonschema | 2.6.0 | py35h27d56d3_0 |
jupyter | 1.0.0 | py35_4 |
jupyter_client | 5.2.3 | py35_0 |
jupyter_console | 5.2.0 | py35hf76c22e_1 |
jupyter_core | 4.4.0 | py35h629ba7f_0 |
kaggle | 1.3.8 | |
kaggle-cli | 0.12.13 | |
Keras | 2.2.4 | |
Keras-Applications | 1.0.8 | |
Keras-Preprocessing | 1.1.0 | |
kiwisolver | 1.0.1 | py35hc605aed_0 |
libpng | 1.6.34 | vc14_0 |
libtiff | 4.0.9 | vc14_0 |
locket | 0.2.0 | py35h0dfcdd0_1 |
lxml | 4.0.0 | |
m2w64-gcc-libgfortran | 5.3.0 | 6 |
m2w64-gcc-libs | 5.3.0 | 7 |
m2w64-gcc-libs-core | 5.3.0 | 7 |
m2w64-gmp | 6.1.0 | 2 |
m2w64-libwinpthread-git | 5.0.0.4634.697f757 | 2 |
Markdown | 2.6.11 | |
markupsafe | 1 | py35hc253e08_1 |
matplotlib | 2.2.2 | py35h153e9ff_0 |
MechanicalSoup | 0.8.0 | |
mistune | 0.8.3 | py35_0 |
mkl | 2018.0.2 | 1 |
mkl_fft | 1.0.1 | py35h452e1ab_0 |
mkl_random | 1.0.1 | py35h9258bd6_0 |
moviepy | 0.2.3.2 | |
msgpack-python | 0.5.6 | py35he980bc4_0 |
msys2-conda-epoch | 20160418 | 1 |
nbconvert | 5.3.1 | py35h98d6c46_0 |
nbformat | 4.4.0 | py35h908c9d9_0 |
networkx | 2.1 | py35_0 |
nltk | 3.2.5 | |
notebook | 5.4.1 | py35_0 |
numpy | 1.14.2 | py35h5c71026_1 |
numpy | 1.14.1 | |
numpy | 1.14.2 | |
numpydoc | 0.7.0 | py35h72ac4f2_0 |
olefile | 0.45.1 | py35_0 |
opencv | 3.3.1 | py35h20b85fd_1 |
opencv-python-headless | 4.1.1.26 | |
opencv3 | 3.1.0 | py35_0 |
openssl | 1.0.2o | h8ea7d77_0 |
packaging | 17.1 | py35_0 |
pandas | 0.22.0 | py35h6538335_0 |
pandoc | 1.19.2.1 | hb2460c7_1 |
pandocfilters | 1.4.2 | py35h978f723_1 |
parso | 0.1.1 | py35he39c48a_0 |
partd | 0.3.8 | py35h894d1e4_0 |
patsy | 0.5.0 | py35_0 |
pbr | 4.0.3 | |
pickleshare | 0.7.4 | py35h2f9f535_0 |
Pillow | 5.1.0 | |
pip | 10.0.1 | |
pip | 9.0.3 | py35_0 |
plotly | 2.7.0 | |
prettytable | 0.7.2 | |
progressbar2 | 3.34.3 | |
prompt_toolkit | 1.0.15 | py35h89c7cb4_0 |
protobuf | 3.5.2.post1 | |
protobuf | 3.5.1 | |
protobuf | 3.5.2 | |
psutil | 5.4.3 | py35hfa6e2cd_0 |
pycparser | 2.18 | py35h15a15da_1 |
pygments | 2.2.0 | py35h24c0941_0 |
pyopenssl | 17.5.0 | py35h75c5b16_0 |
pyparsing | 2.2.0 | py35hcabcaab_1 |
pyperclip | 1.6.0 | |
pyqt | 5.6.0 | py35hd46907b_5 |
pyreadline | 2.1 | |
pysocks | 1.6.8 | py35_0 |
python | 3.5.5 | h0c2934d_1 |
python-dateutil | 2.7.2 | py35_0 |
python-utils | 2.3.0 | |
pytz | 2018.3 | py35_0 |
pywavelets | 0.5.2 | py35h7c47ace_0 |
pywinpty | 0.5.1 | py35_0 |
pyyaml | 3.12 | py35h4bf9689_1 |
pyzmq | 17.0.0 | py35hfa6e2cd_0 |
qt | 5.6.2 | vc14_1 |
qtconsole | 4.3.1 | py35hc47b0dd_0 |
requests | 2.18.4 | py35h54a615f_1 |
scikit-image | 0.13.1 | |
scikit-learn | 0.19.1 | py35h2037775_0 |
scipy | 1.0.1 | py35hce232c7_0 |
seaborn | 0.8.1 | py35hc73483e_0 |
segmentation-models | 1.0.0 | |
send2trash | 1.5.0 | py35_0 |
setuptools | 39.0.1 | py35_0 |
setuptools | 39.0.1 | |
setuptools | 38.5.2 | |
simplegeneric | 0.8.1 | py35_2 |
sip | 4.18.1 | py35h01cbaa7_2 |
six | 1.11.0 | |
six | 1.11.0 | py35hc1da2df_1 |
snowballstemmer | 1.2.1 | py35h4c55bfa_0 |
sortedcontainers | 1.5.9 | py35_0 |
sphinx | 1.7.2 | py35_0 |
sphinxcontrib | 1 | py35h45f5ca3_1 |
sphinxcontrib-websupport | 1.0.1 | py35ha3690eb_1 |
sqlite | 3.22.0 | vc14_0 |
statsmodels | 0.8.0 | py35hfa6034c_0 |
stevedore | 1.28.0 | |
tblib | 1.3.2 | py35hd2cf7e1_0 |
tensorboard | 1.7.0 | |
tensorflow | 1.7.0 | |
tensorflow-gpu | 1.5.0 | |
tensorflow-gpu | 1.7.0 | |
tensorflow-gpu | 1.6.0 | |
tensorflow-tensorboard | 1.5.1 | |
termcolor | 1.1.0 | |
terminado | 0.8.1 | py35_1 |
testpath | 0.3.1 | py35h06cf69e_0 |
tk | 8.6.7 | vc14_0 |
toolz | 0.9.0 | py35_0 |
tornado | 5.0.1 | py35_1 |
tqdm | 4.11.2 | |
traitlets | 4.3.2 | py35h09b975b_0 |
tta-wrapper | 0.0.1 | |
typing | 3.6.4 | py35_0 |
urllib3 | 1.22 | py35h8cc84eb_0 |
vc | 14 | h0510ff6_3 |
vs2015_runtime | 14.0.25123 | 3 |
wcwidth | 0.1.7 | py35h6e80d8a_0 |
webencodings | 0.5.1 | py35h5d527fb_1 |
Werkzeug | 0.14.1 | |
wheel | 0.30.0 | |
wheel | 0.31.0 | |
wheel | 0.30.0 | py35h38a90bc_1 |
widgetsnbextension | 3.1.4 | py35_0 |
win_inet_pton | 1.0.1 | py35hbef1270_1 |
win_unicode_console | 0.5 | py35h56988b5_0 |
wincertstore | 0.2 | py35hfebbdb8_0 |
winpty | 0.4.3 | vc14_2 |
wordcloud | 1.4.1 | |
yaml | 0.1.7 | vc14_0 |
zict | 0.1.3 | py35hf5542e0_0 |
zlib | 1.2.11 | vc14_0 |