Log images under the currentrun
at the given step
.
Use the function log_images for a run
.
PIL
package is needed to log images. To install the PIL package, run
Here is the sample code to log images from different sources:
You can visualize the logged images in the TrueFoundry dashboard.
Logged Images
You can also view the images logged step-wise by clicking in an image.
Visualizing image at different steps
mlfoundry.Image
Images are represented and logged using this class in TrueFoundry.
You can initialize truefoundry.ml.Image
by either by using a local path or you can use a numpy array / PIL.Image object.
You can also log caption and the actual and prodicted values for an image as shown in the examples below.
The logged images can be visualized in the TrueFoundry dashboard.
MNIST sample images
Log images under the currentrun
at the given step
.
Use the function log_images for a run
.
PIL
package is needed to log images. To install the PIL package, run
Here is the sample code to log images from different sources:
You can visualize the logged images in the TrueFoundry dashboard.
Logged Images
You can also view the images logged step-wise by clicking in an image.
Visualizing image at different steps
mlfoundry.Image
Images are represented and logged using this class in TrueFoundry.
You can initialize truefoundry.ml.Image
by either by using a local path or you can use a numpy array / PIL.Image object.
You can also log caption and the actual and prodicted values for an image as shown in the examples below.
The logged images can be visualized in the TrueFoundry dashboard.
MNIST sample images