I am trying to re-train the pre-trained google Word2Vec with bunch of domain-specified documents.
So I need a google-Word2Vec source code, however, the original page of W2V now returns error when the source-code linke clicked.
Anyone knows the other mirror repo for the google W2V?
https://code.google.com/archive/p/word2vec/ Word2Vec page
http://word2vec.googlecode.com/svn/trunk/ Repo Error
It's here now: https://github.com/dav/word2vec
Also, the implementation in Gensim is great -- details and documentation here: https://radimrehurek.com/gensim/models/word2vec.html
You can find a full clone of that repo here on GitHub: https://github.com/svn2github/word2vec
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I am new to ImageNet and would like to download full sized images of one of the subsets/synsets however I have found it incredibly difficult to actually find what subsets are available and where to find the ID code so I can download this.
All previous answers (from only 7 months ago) contain links which are now all invalid. Some seem to imply there is some sort of algorithm to making up an ID as it is linked to wordnet??
Essentially I would like a dataset of plastic or plastic waste or ideally marine debris. Any help on how to get the relevant ImageNet ID or suggestions on other datasets would be much much appreciated!!
I used this repo to achieve what you're looking for. Follow the following steps:
Create an account on Imagenet website
Once you get the permission, download the list of WordNet IDs for your task
Once you've the .txt file containing the WordNet IDs, you are all set to run main.py
As per your need, you can adjust the number of images per class
By default ImageNet images are automatically resized into 224x224. To remove that resizing, or implement other types of preprocessing, simply modify the code in line #40
Source: Refer this medium article for more details.
You can find all the 1000 classes of ImageNet here.
EDIT:
Above method doesn't work post March 2021. As per this update:
The new website is simpler; we removed tangential or outdated functions to focus on the core use case—enabling users to download the data, including the full ImageNet dataset and the ImageNet Large Scale Visual Recognition Challenge (ILSVRC).
So with this, to parse and search imagenet now you may have to use nltk.
More recently, the organizers hosted a Kaggle challenge based on the original dataset with additional labels for object detection. To download the dataset you need to register a Kaggle account and join this challenge. Please note that by doing so, you agree to abide by the competition rules.
Please be aware that this file is very large (168 GB) and the download will take anywhere from minutes to days depending on your network connection.
Install the Kaggle CLI and set up credentials as per this guideline.
pip install kaggle
Then run these:
kaggle competitions download -c imagenet-object-localization-challenge
unzip imagenet-object-localization-challenge.zip -d <YOUR_FOLDER>
Additionally to understand ImageNet hierarchy refer this.
I am afraid I am posting my problem in the wrong place, if so then please excuse me for that and would appreciate it if you can suggest another forum for my question apart from Unreal forum as I haven't received anything for almost a month.
I am trying to import a model from 3d Max to Unreal engine so I can use it later on with AirSim.
firstly, I have converted my 3d Max model using Datasmith, a plugin to import 3d max model into Unreal, according to this video here, and everything went ok.
secondly, this tutorial here is from AirSim official staff that shows how to download a free model from Unreal Library and merges it into a blank C++ project in Unreal so that it would be ready to suit AirSim. The free to download sample environment was ''LandscapeMountains''.
the problem is, video 1 doesn't show how to save the imported model that matches the ''LandscapeMountains'' project format so I can follow video 2 from that point onward to use it in AirSim. To clarify:
project folder of ''LandscapeMountains'' contains many essential elements such as the DerivedDataCache, config, and Content.
the imported model firstly doesn't have DerivedDataCache folder.
In addition, the Imported model Config files are by no means close to ''LandscapeMountains'' config files. Moreover, the Imported model contents folder contains Developers, Collections, and exported_model folders plus a .umap file of the exported model. whereas ''LandscapeMountains'' content folder has only two folders: Maps and Assets folders. all these details are shown in images1,2,3 and 4.
image1 image2 image3 image4
apparently, I don't know how the ''LandscapeMountains'' has been saved to look like this format and my question now is what is the type of this format and how can I save my imported model to be like that.
I think that its a basic thing but I don't have the knowledge to find out how and I hope someone can help to overcome this issue.
regards
PS, I have posted the same issue to Unreal forums and no luck with a reply
I am using the Caffe framework for Ubuntu 14.04 and I want to use caffemodel to classify.
At first,I convert the face database into lmdb format and I have trained the caffemodel(lenet_iter_10000.caffemodel).
Next, I try to use my caffemodel to classify.
I read the codefrom google caffe users and rewrite some of the content , but I have some errors.
'AddMatVector' is not a member of 'caffe::MemoryDataLayer'
I asked in some forums, but I did not receive a reply.
Could anyone help me?
If my description is not clear enough, I will make it clearly. Thank you.
I don't see any AddMatVector in the documentation.
But I can see it in the source code in an #ifdef USE_OPENCV. HTH.
I downloaded and installed Review Board in order to evaluate its fit for our team's workflow. I see that you can attach files to a review. When I go to review an attached file, Review Board lets me add a comment to the entire file, but I don't see a way to comment on individual lines within the file.
How can I comment on individual lines in an attached source file?
According to the official documentation for the current version (more specifically, see Creating Review Requests and Reviewing File Attachments page), it is only possible to comment on non-diff files as a whole. I have tried to find a workaround, but I have not been successful.
This wiki page, which contains ideas for the 2.0 version, says the following:
There has been some request for reviewing files other than diffs.
Screenshots have been the main one, though someone suggested Wiki
changes and specialized views for certain text documents.
So maybe this will be possible in 2.0, but as of 1.7, it is not possible.
Im trying to follow the tutorials from mediawiki
One of the examples they used is
http://en.wikipedia.org/w/api.php?action=query&titles=Albert%20Einstein&prop=images
So I am wondering how would i convert
File:1919 eclipse positive.jpg
into the actual link to the file?
Use the imageinfo property, as mentioned in the docs. E.g.:
http://en.wikipedia.org/w/api.php?action=query&titles=File:1919%20eclipse%20positive.jpg&prop=imageinfo&iilimit=50&iiend=20071231235959&iiprop=timestamp|user|url
Here is an example in Java:
Get the image link