So it works on Mac, Windows, and Linux. If you don’t know what conda is, it’s an open source package and environment management system that runs cross-platform. Stop installing Tensorflow using pip Use conda instead.
![]() Tensor Flow Download And InstallOn macOS or Linux open a terminal. On Windows open the Start menu and open an Anaconda Command Prompt. To confirm that Tensorflow has been installed on your Mac, open IDLE and type import tensorflow as tf as shown below.Alright, so a brief overview of the steps needed to do this:Download and install Anaconda or the smaller Miniconda. This will take some time after which Tensorflow will get installed on your Mac as shown below. Then type pip3 install tensorflow as shown below.![]() From here, choose to open dir and pick the directory that you saved all of your images to. For this, I am going to use LabelImg, you can grab it with git clone , or just download and extract the zip.Installation instructions are on the labelimg github, but for Python3 on Ubuntu:When running this, you should get a GUI window. Once you have images, you need to annotate them. Drive format for mac and windowsTo do this, just copy about 10% of your images and their annotation XML files to a new dir called test and then copy the remaining ones to a new dir called trainOnce you've done all of this, you're ready to go to the next tutorial, where we're going to cover how we can create the required TFRecord files from this data.Alternatively, if you would like to just use my pre-made files, you can download my labeled macaroni and cheese. Not sure if there's a shortcut for the next image.Once you have over 100 images labeled, we're going to separate them into training and testing groups. Save, hit next image, and repeat! You can press the w key to draw the box and do ctrl+s to save faster. Draw your box, add the name in, and hit ok.
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