Latest Contributions by Big_DataManado

Ok, Thank you for your help. ... View more

Okay, now I can read the Image from export training data but it leaves some error and I'm afraid it will cause something wrong later : image successfully read : should I run : conda install -c fastai nvidia-ml-py3‍ since I'm using GPU for this ... View more

One more thing, it can read normal image png, but it won't work from image created from export training data ... View more

Now it seems to make sense, it resulted in an error : so what should I do ? in another side I need this conda install -c pytorch -c fastai fastai=1.0.39 pytorch=1.0.0 torchvision command to prepare_data() ... View more

AFAIK it's installed by using "conda install -c pytorch -c fastai fastai=1.0.39 pytorch=1.0.0 torchvision" but to be sured I created new environment again and installed required moduls using above command as sugested and test prepare_data() command again and stil it resulted in error. Here's my environment clone from default environment of ArcGIS pro before running above command : arcgis==1.6.1 asn1crypto==0.24.0 atomicwrites==1.3.0 attrs==19.1.0 backcall==0.1.0 bleach==3.1.0 certifi==2019.3.9 cffi==1.12.2 cftime==1.0.0b1 chardet==3.0.4 colorama==0.4.1 cryptography==2.6.1 cycler==0.10.0 decorator==4.4.0 defusedxml==0.5.0 despatch==0.1.0 entrypoints==0.3 et-xmlfile==1.0.1 fastcache==1.0.2 future==0.17.1 h5py==2.9.0 html5lib==1.0.1 idna==2.8 ipykernel==5.1.0 ipython==7.4.0 ipython-genutils==0.2.0 ipywidgets==7.4.2 jdcal==1.4 jedi==0.13.3 Jinja2==2.10.1 jsonschema==3.0.1 jupyter-client==5.2.4 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==0.35.4 jupyterlab-server==0.2.0 keyring==19.0.1 kiwisolver==1.0.1 MarkupSafe==1.1.1 matplotlib==3.0.3 mistune==0.8.4 mkl-fft==1.0.10 mkl-random==1.0.2 more-itertools==6.0.0 mpmath==1.1.0 nbconvert==5.4.1 nbformat==4.4.0 netCDF4==1.5.0.1 nose==1.3.7 notebook==5.7.8 numexpr==2.6.9 numpy==1.16.2 openpyxl==2.6.1 pandas==0.24.2 pandocfilters==1.4.2 parso==0.3.4 pickleshare==0.7.5 pluggy==0.9.0 prometheus-client==0.6.0 prompt-toolkit==2.0.9 py==1.8.0 pycparser==2.19 Pygments==2.3.1 pyOpenSSL==19.0.0 pyparsing==2.4.0 pyrsistent==0.14.11 pyshp==1.2.12 PySocks==1.6.8 pytest==4.4.0 python-dateutil==2.8.0 pytz==2018.9 pywin32-ctypes==0.2.0 pywinpty==0.5 pyzmq==18.0.0 requests==2.21.0 scipy==1.2.1 Send2Trash==1.5.0 simplegeneric==0.8.1 six==1.12.0 sympy==1.3 terminado==0.8.1 testpath==0.4.2 tornado==6.0.2 traitlets==4.3.2 urllib3==1.24.1 wcwidth==0.1.7 webencodings==0.5.1 widgetsnbextension==3.4.2 win-inet-pton==1.1.0 wincertstore==0.2 winkerberos==0.7.0 x86cpu==0.4 xlrd==1.2.0 xlwt==1.3.0 ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ and here's my environment after running above command : arcgis==1.6.2 asn1crypto==1.2.0 atomicwrites==1.3.0 attrs==19.3.0 backcall==0.1.0 bleach==3.1.0 blis==0.2.4 Bottleneck==1.3.1 certifi==2019.11.28 cffi==1.13.2 cftime==1.0.0b1 chardet==3.0.4 colorama==0.4.1 cryptography==2.8 cycler==0.10.0 cymem==2.0.2 dataclasses==0.6 decorator==4.4.1 defusedxml==0.6.0 despatch==0.1.0 entrypoints==0.3 et-xmlfile==1.0.1 fastai==1.0.39 fastcache==1.1.0 fastprogress==0.1.22 future==0.18.2 h5py==2.9.0 html5lib==1.0.1 idna==2.8 importlib-metadata==1.1.0 ipykernel==5.1.3 ipython==7.9.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 json5==0.8.5 jsonschema==3.2.0 jupyter-client==5.3.4 jupyter-console==5.2.0 jupyter-core==4.6.1 jupyterlab==1.2.3 jupyterlab-server==1.0.6 keyring==19.2.0 kiwisolver==1.1.0 MarkupSafe==1.1.1 matplotlib==3.0.3 mistune==0.8.4 mkl-fft==1.0.12 mkl-random==1.0.2 more-itertools==7.2.0 mpmath==1.1.0 murmurhash==1.0.2 nb-conda==2.2.1 nb-conda-kernels==2.2.2 nbconvert==5.6.1 nbformat==4.4.0 netCDF4==1.5.0.1 nose==1.3.7 notebook==6.0.2 numexpr==2.6.9 numpy==1.16.2 olefile==0.46 openpyxl==3.0.2 packaging==19.2 pandas==0.25.3 pandocfilters==1.4.2 parso==0.5.1 pickleshare==0.7.5 Pillow==6.2.1 plac==0.9.6 pluggy==0.13.1 preshed==2.0.1 prometheus-client==0.6.0 prompt-toolkit==3.0.2 py==1.8.0 pycparser==2.19 Pygments==2.5.2 pyOpenSSL==19.1.0 pyparsing==2.4.5 pyrsistent==0.15.6 pyshp==1.2.12 PySocks==1.7.1 pytest==5.3.1 python-dateutil==2.8.1 pytz==2019.3 pywin32==223 pywin32-ctypes==0.2.0 pywinpty==0.5.5 PyYAML==3.12 pyzmq==18.1.0 requests==2.22.0 scipy==1.2.1 Send2Trash==1.5.0 simplegeneric==0.8.1 six==1.13.0 spacy==2.1.8 srsly==0.1.0 sympy==1.4 terminado==0.8.3 testpath==0.4.4 thinc==7.0.8 torch==1.0.0 torchvision==0.2.2 tornado==6.0.3 tqdm==4.40.0 traitlets==4.3.3 typing==3.6.4 urllib3==1.24.2 wasabi==0.2.2 wcwidth==0.1.7 webencodings==0.5.1 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 wincertstore==0.2 winkerberos==0.7.0 x86cpu==0.4 xlrd==1.2.0 xlwt==1.3.0 zipp==0.6.0 ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ it seems the pillow were installed by command above using conda install, and this is what changed : anything wrong with my setup or I missed something? Thanks in advance. ... View more

Thank you, I've been struggling for weeks in these prepare data thing... I don't have problem with pascal VOC or Classified Tiles metadata format from before. ... View more

Here's the result : I always exported to new folder since ArcgisPro won't allow if the output folder already exist. Here's my environment : and my ArcGIS Pro version ... View more

I use different folder name (you can check at my previous I use "gtg6" for tiff and "gtg12" for png) but however the tiff always follow along... is there something wrong? ... View more

I did have... and no, it not working (I also test JPEG) : ... View more

Thank you.., I set my cell size to 0.3, and this is my screenshot at my exported files :  Because I did this based on tutorial Feature Categorization using Satellite Imagery and Deep Learning | ArcGIS for Developers  then I try to implement that tutorial using the same data based on that tutorial (with cell size 0.1) and this is my screen shot at my exported tiles based on the tutorial : but it still have the same error and in jupyter notebook it says Cannot read TIFF header :  anything wrong? thanks in advance ... View more