After launching the tensorboard, I see 3 rows of images under the "IMAGES" tab, along with a relative path url to the left. Can someone tell me what do these images and relative paths represent? What do the images in 1st and 2nd column represent?
I have attached an image for reference.
The relative path URL relates to TensorFlow's way of dealing with variables.
You might want to browse the Documentation on "name_scope", "variable_scope" and "Sharing Variables". A good start would be this
As you are doing images with Tensorflow, you might be interested in visualizing your filter kernels. In this projects, I have working code to visualize the kernels of the first layer within TensorBoard
From the tensorboard readme file:
The dashboard is set up so that each row corresponds to a different
tag, and each column corresponds to a run.
Related
I followed the question and answers to question on inserting images into Colab text cells. Similar to that poster, I wish to place images into text cells rather than bring them up using Python code cells.
The source of the images is intended to be files in a subfolder of the project containing the Jupyter notebook whose discussion I want to enrich with photos and drawings. It is important to keep the notebook and supporting files, including images and data, in a single encompassing folder. (I expect to work on dozens of such projects, each with its own assembly of files in separate project folders.)
In order to achieve this I mounted the Google drive containing the image files by running
from google.colab import drive
drive.mount('/content/drive')
I clicked on the file folder in the left sidebar and expanded directories until I could select the image file I want to use and obtain its path. Then I tried using either of the following in a text cell:
<img src="/content/drive/MyDrive/Colab Notebooks/Lab13 Mechanisms/Figures/PantographCloseUp.JPG" alt="Close up of a pantograph made with LEGO Technics and LEGO Mindstorms components">
Neither of these work: no image appears. Right clicking on the empty box containing a question mark and choosing inspect element and then the tab "sources", I clicked on the image resource and got "Failed to load resource: the server responded with a states of 403 ()." I understand this is some sort of authorization fault (???).
(The image is set to be shared with anyone with the link.)
What is going on? Why don't the image-in-text-cell methods work using the file paths on the mounted drive? (Ideally, too, I would like to use a relative path: Figures/PantographCloseUp.JPG)
Please note that the following does produce an image in a text cell but is not a terribly convenient way of keeping track of image sources:
<img src='https://drive.google.com/uc?id=1dYjA01xQqah0l2cSQYcd6U0UFrfH3LPK'/>
Also, I can run code to display the image using the desired file path but this is also not convenient because a user (a student) of the document would have to run all of these cells just to look at the pictures.
from IPython.display import Image
Image("/content/drive/MyDrive/Colab Notebooks/Lab13 Mechanisms/Figures/PantographCloseUp.JPG")
The ILSVRC 2012 small classification dataset is not separated by folder and don't have a labels file. How get the labels for the training set?
I tried on nonpub downloads page but does not exist anymore, and i tried by the filenames but their don't have the synset id on it.
I've been having the same issue today following this tutorial on reproducing ImageNet Validation results. I think I've found an answer, even if partial
In the article they point out to this link to get the validation set for object detection. I downloaded it and had the same issue as yourself, it only contains images without labels. What I've found is that this same website had this other link for the bounding boxes. I've downloaded it and alongside with the bboxes it comes with the proper class for each image
Hope this helps!
I have a simple MNIST model from the tensorflow tutorial. I want to see how the first convolutional layer's filters changes with time. When I use tf.summary.image, only one of the steps is displayed, and the rest is ignored. Is there any way to work this around?
TF does not have videos, but you can generate image at each step, save them in some directory and then create a video from them.
Is it possible to view the images for all steps in the Image viewer of tensorboard?
Only the images corresponding to the last step are shown in the Images tab, though they are accessible changing the index of the the url of the image:
(Changing the 0 for the required step in the url: localhost:6006/data/individualImage?index=0&tag=777_mask_output_output_1%2Fimage%2F0&run=tensorboard_logs&ts=1487721119.455751)
As I understood, an additional slider was added at TensorFlow v. 1.1.0:
For example, given File:Wikipedia-logo-v2.svg as input, the output would include:
http://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/200px-Wikipedia-logo-v2.svg.png
http://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/500px-Wikipedia-logo-v2.svg.png
...
The original image is a vector, the urls you have provided link to the wikipedia thumbnail generator.
It will generate an image of any resolution you specify, you can just change the value in the url and it will generate an image of that size.
I don't know why you would want to use it however. You should just get the original image and scale it yourself to your own needs.