Comments (5)
For Mac OS X Mojave 10.14.6 (18G87).
pip 19.2.3 (python 3.7)
requirements.txt:
Keras==2.1.2
tensorflow==1.14.0
nltk==3.2.5
opencv-python==4.0.0.21
numpy==1.17.1
h5py==2.9.0
matplotlib==2.0.2
Pillow==6.1.0
tqdm==4.17.1
scipy==1.3.1
And then pip install -r requirements.txt
UPD: Probably need to install brew install pkg-config
before python packages.
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I met another error, at line 2, OS is Mac OS X mojave. I just installed python 3.7 through homebrew.
from sketch-code.
I met another error, at line 2, OS is Mac OS X mojave. I just installed python 3.7 through homebrew.
tensorflow1.4.0 not support python3.7,you need install python 3.6 in virtualenv or conda
from sketch-code.
You can install tensorflow and other requirements separately with pip or just change the version requirements in the file to also match newer versions. So change tensorflow===1.4.0
to tensorflow>==1.4.0
and so on. At least the version 1.13.0 seems to work just fine.
from sketch-code.
I installed Python 3.6 (64 bit) and it worked fine. Any larger version (3.7, ...) fails sooner or later. Also there was need for 64 bit version, not 32 bit.
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Related Issues (20)
- Algorithm used? HOT 1
- [Dataset Added] : 100 + images and their lables HOT 9
- Unable to open file HOT 1
- always meet ModuleNotFoundError: No module named 'numpy' HOT 3
- unsupport python 3.6
- not able to make .gui files for my own images HOT 1
- What does "ImagePreprocessor.augment_and_save_images" mean?
- dataset creation HOT 1
- How to use multi .h5 files generated by training my own data? HOT 1
- installation error HOT 2
- ValueError: GRU(reset_after=False) is not compatible with GRU(reset_after=True) HOT 1
- Turning screenshots to sketches HOT 1
- Dataset and Pre-trained Model Files Not Accessible HOT 7
- Is this project active?
- No module named inference.Sampler HOT 6
- The training data is not available! HOT 4
- seems can't generate self drawn wireframe diagram ? always generate the example as the output HOT 6
- Adding new elements to the dataset Images HOT 1
- Code for making the images look hand-drawn
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