brisk | A macOS app for submitting radars
kandi X-RAY | brisk Summary
kandi X-RAY | brisk Summary
Brisk is a macOS app for filing Radars and optionally crossposting them to Open Radar. Brisk is written in Swift and uses Sonar to communicate with Apple's Radar web "APIs". Brisk supports two factor auth, attachments, and saving radars as drafts.
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QUESTION
I have been running apache2 without issues, but after configuring some virtual hosts it failed to reload.
I edited the files in /etc/sites-available and the /etc/hosts file.
I see the following error:
...ANSWER
Answered 2020-Nov-05 at 15:26See Apache log to get more details about the error: Ubuntu /var/log/apache2 CentOS or Redhat /var/log/httpd
QUESTION
I have a bootstrap checkbox the problem is I can't get the value of it when it is checked. The code below is my check box.
...ANSWER
Answered 2020-Oct-22 at 06:31Your code seems to be working fine. may me issue with importing jQuery library
QUESTION
It's not entirely clear from the documentation, but I can see that BertTokenizer
is initialised with pad_token='[PAD]'
, so I assume when you encode with add_special_tokens=True
then it would automatically pad it. Given that pad_token_id=0
, I can't see any 0
s in the token_ids
however:
ANSWER
Answered 2020-Apr-27 at 04:50No it would not. There is a different parameter pad_to_max_length which you have to set to True to add padding tokens. add_special_tokens
will add the [CLS] and the [SEP] token (101 and 102 respectively).
QUESTION
I just discovered that SIFT writes the Octave as packed value (octave, layer and scale).
I need this value unpacked since I have to use SIFT detector in combination with other descriptors (ORB, BRIEF, SURF, BRISK). Here you can find a similar question.
I already tried different solutions (see code below) but none seems to work in python (this one as well).
Any suggestion?
ANSWER
Answered 2018-Jan-23 at 03:20I define a Python function to unpack SIFT Octave:
QUESTION
I have a program that takes for input a picture, and who's objective is to determine if a certain object (essentially an image) is contained with this picture. If so it tries to estimate it's position. This works really well when the object is in the picture. However I get a lot of false positives when I put anything complex enough in the picture.
I was wondering if there is any good way to filter out these false positives. Hopefully something not too computationally expensive.
My program is based on the tutorial found here. Except I use BRISK
instead of SURF
so I don't need the contrib stuff.
HOW I GET MATCHES
...ANSWER
Answered 2019-Jul-17 at 18:49You cannot completely eliminate false positives. That's why RANSCAC algorithm is used to find homography. However, you may check if estimated homography is "good". See this question for details. And if estimated homography is wrong you may discard it and assume that no object is found. As you need at least 4 corresponding points to estimate homography, you can reject those homographies that were estimated using less points that a predefined threshold (eg.6). That will likely filter out all wrongly estimated homographies:
QUESTION
I'm saving my KeyPoints and Descriptors in a JSON file. Later when I retrieve them, I am trying to use them in a FlannBasedMatcher
. However, I think something is going wrong in the conversion because I am getting the following error.
ANSWER
Answered 2019-May-26 at 03:01Solution was deceptively simple.
QUESTION
I would like to cache KeyPoint
in a JSON file and then retrieve them later for use in a FlannBasedMatcher
. Is there a way to convert the KeyPoint
to something like an array of strings or floats that could be stored and then retreived from a JSON file? I think this should be ok for the descriptors since they just look like an array of ints.
COMPUTING KEYPOINTs
...ANSWER
Answered 2019-May-23 at 08:32You can save your KeyPoint to a JSON file directly in string type:
QUESTION
I'd like to compare ORB, SIFT, BRISK, AKAZE, etc. to find which works best for my specific image set. I'm interested in the final alignment of images.
Is there a standard way to do it?
I'm considering this solution: take each algorithm, extract the features, compute the homography and transform the image.
Now I need to check which transformed image is closer to the target template.
Maybe I can repeat the process with the target template and the transformed image and look for the homography matrix closest to the identity but I'm not sure how to compute this closeness exactly. And I'm not sure which algorithm should I use for this check, I suppose a fixed one.
Or I could do some pixel level comparison between the images using a perceptual difference hash (dHash). But I suspect the the following hamming distance may not be very good for images that will be nearly identical.
I could blur them and do a simple subtraction but sounds quite weak.
Thanks for any suggestions.
EDIT: I have thousands of images to test. These are real world pictures. Images are of documents of different kinds, some with a lot of graphics, others mostly geometrical. I have about 30 different templates. I suspect different templates works best with different algorithms (I know in advance the template so I could pick the best one).
Right now I use cv2.matchTemplate to find some reference patches in the transformed images and I compare their locations to the reference ones. It works but I'd like to improve over this.
...ANSWER
Answered 2019-Apr-14 at 22:29From your question, it seems like the task is not to compare the feature extractors themselves, but rather to find which type of feature extractor leads to the best alignment.
For this, you need two things:
- a way to perform the alignment using the features from different extractors
- a way to check the accuracy of the alignment
The algorithm you suggested is a good approach for doing the alignment. To check if accuracy, you need to know what is a good alignment.
You may start with an alignment you already know. And the easiest way to know the alignment between two images is if you made the inverse operation yourself. For example, starting with one image, you rotate it some amount, you translate/crop/scale or combine all this operations. Knowing how you obtained the image, you can obtain your ideal alignment (the one that undoes your operations).
Then, having the ideal alignment and the alignment generated by your algorithm, you can use one metric to evaluate its accuracy, depending on your definition of "good alignment".
QUESTION
I am using the Hamming Distance to compute the difference among two keypoints descriptors obtained by the BRISK descriptor from opencv. I follow the suggestion of opencv documentation and use cv2.NORM_HAMMING while computing the distance as follows:
...ANSWER
Answered 2019-Feb-19 at 10:58Your values:
QUESTION
I am having troubles in adding images to my adventure game. I am doing this for school. I got the information down, but I am stuck in trying to add specific images so they can show up once I press the button to progress the story. Sorry if how I describe my problem comes across confusing...
The code shows up fine. All I want to do is add some images to my game.
Here's a link to the code, and here's the script within the HTML. I am not sure if I am doing it right.
EDIT:: (UPDATED LINK TO JSFIDDLE)
...ANSWER
Answered 2019-Jan-31 at 06:42If you want to add different image for different question, you can modify the json as below.
Can add the individual image path to each json, or can ignore if no need of image for any question.
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Install brisk
Download the latest packaged Brisk.app from the releases and copy it to your Applications directory
Using brew-cask with brew install --cask brisk
Clone the repo and run make install
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