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Sandeep Kumar
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multispectral_support and install instructions
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guide/01-getting-started/install-and-set-up.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Install using conda (Anaconda)"
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"### Install using the Python Command Prompt (ArcGIS Pro 2.5)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Windows\n",
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"Navigate to Start Menu > All Programs > ArcGIS > Python Command Prompt\n",
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"\n",
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"```conda install -c esri arcgis fastai pillow scikit-image```\n",
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"Install the dependencies using the following command:\n",
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"\n",
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"```conda install gdal=2.3.3```"
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"```conda install -c esri arcgis fastai pillow scikit-image --no-pin```\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Linux\n",
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"\n",
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"```conda install -c esri -c fastai -c pytorch arcgis pillow scikit-image fastai=1.0.54 pytorch=1.1.0```\n",
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"\n",
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"```conda install gdal=2.3.3```"
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"### Install using conda (Anaconda)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Install using the Python Command Prompt (ArcGIS Pro 2.5)"
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"#### Windows\n",
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"\n",
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"```conda install -c esri arcgis fastai pillow scikit-image```\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Navigate to Start Menu > All Programs > ArcGIS > Python Command Prompt\n",
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"\n",
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"Install the dependencies using the following command:\n",
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"#### Linux\n",
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"\n",
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"```conda install -c esri arcgis fastai pillow scikit-image --no-pin```"
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"```conda install -c esri -c fastai -c pytorch arcgis pillow scikit-image fastai=1.0.54 pytorch=1.1.0```\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### For Multispectral data support (optional and applicable only for Anaconda users)\n",
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"```conda install gdal=2.3.3```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For TensorFlow support in either of the above environments, install using the following command:\n",
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"### For TensorFlow support (Optional), install tensorflow using the following command:\n",
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"\n",
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"```conda install -c esri tensorflow-gpu=2.0.0```"
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]
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.10"
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"version": "3.6.9"
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},
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"varInspector": {
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"cols": {

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