resize | Pure golang image | Computer Vision library
kandi X-RAY | resize Summary
kandi X-RAY | resize Summary
Image resizing for the [Go programming language] with common interpolation methods.
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Lines of Code : 175License : Non-SPDX (Apache License 2.0)
Copydef resize_images_v2(images,
size,
method=ResizeMethod.BILINEAR,
preserve_aspect_ratio=False,
antialias=False,
name=None):
"""Resize `images` t def fuse_resize_and_conv(input_graph_def, output_node_names):
"""Merges preceding resize and mirror pad ops into a specialized convolution.
There's a common pattern of enlarging the input to a convolution using a
resize operation, and also usi def resize_images(images,
size,
method=ResizeMethodV1.BILINEAR,
align_corners=False,
preserve_aspect_ratio=False,
name=None):
"""Resize `images` to `size` usi Community Discussions
Trending Discussions on resize
QUESTION
First, I tried something like this:
...ANSWER
Answered 2022-Apr-12 at 00:43It is definitely an interesting one.
They are similar - but not quite the same. resize() is a member of Vec. rotate_right(), on the other hand, is a method of slices.
Vec derefs to [T], so most of the time this does not matter. But actually, while this call:
QUESTION
I am using Perceptual hashing technique to find near-duplicate and exact-duplicate images. The code is working perfectly for finding exact-duplicate images. However, finding near-duplicate and slightly modified images seems to be difficult. As the difference score between their hashing is generally similar to the hashing difference of completely different random images.
To tackle this, I tried to reduce the pixelation of the near-duplicate images to 50x50 pixel and make them black/white, but I still don't have what I need (small difference score).
This is a sample of a near duplicate image pair:
Image 1 (a1.jpg):
Image 2 (b1.jpg):
The difference between the hashing score of these images is : 24
When pixeld (50x50 pixels), they look like this:
rs_a1.jpg
rs_b1.jpg
The hashing difference score of the pixeled images is even bigger! : 26
Below two more examples of near duplicate image pairs as requested by @ann zen:
Pair 1
Pair 2
The code I use to reduce the image size is this :
...ANSWER
Answered 2022-Mar-22 at 12:48Rather than using pixelisation to process the images before finding the difference/similarity between them, simply give them some blur using the cv2.GaussianBlur() method, and then use the cv2.matchTemplate() method to find the similarity between them:
QUESTION
I'm trying to create a flexbox that is both horizontally as vertically scrollable in case its needed. It's kind of a table layout in flexbox. In the picture below you can see the concept that I'm trying to achieve. This works correctly when the viewport is not too small or too short.
We can then resize the viewport. This works correctly for the vertical overflow. A scrollbar appears and we can scroll downwards. This sadly doesn't work correctly horizontally. We also get a scrollbar for the horizontal part. But the yellow rows (with test) are not the full width I need it to be.
...ANSWER
Answered 2022-Mar-19 at 02:36Every red and blue cells have a minimal width (with flex-basis and flex-shrink: 0) but not the yellow.
The yellow are using the largest width possible for them, but the others are going out their container.
In this situation, the simplest way to "fix" it is to set a minimal width to the yellow bars too.
A small example (with variables to simplify maintainability)
Diff:
QUESTION
It was working fine before I have done nothing, no packages update, no gradle update no nothing just created new build and this error occurs. but for some team members the error occur after gradle sync.
The issue is that build is generating successfully without any error but when opens the app it suddenly gets crash (in both debug and release mode)
Error
...ANSWER
Answered 2022-Feb-25 at 23:22We have fixed the issue by replacing
QUESTION
I have some pretty complicated objects. They contain member variables of other objects. I understand the beauty of copy constructors cascading such that the default copy constructor can often work. But, the situation that may most often break the default copy constructor (the object contains some member variables which are pointers to its other member variables) still applies to a lot of what I've built. Here's an example of one of my objects, its constructor, and the copy constructor I've written:
...ANSWER
Answered 2022-Jan-30 at 02:54C++ Copy Constructors: must I spell out all member variables in the initializer list?
Yes, if you write a user defined copy constructor, then you must write an initialiser for every sub object - unless you wish to default initialise them, in which case you don't need any initialiser - or if you can use a default member initialiser.
the object contains some member variables which are pointers to its other member variables)
This is a design that should be avoided when possible. Not only does this force you to define custom copy and move assignment operators and constructors, but it is often unnecessarily inefficient.
But, in case that is necessary for some reason - or custom special member functions are needed for any other reason - you can achieve clean code by combining the normally copying parts into a separate dummy class. That way the the user defined constructor has only one sub object to initialise.
Like this:
QUESTION
I've converted a Keras model for use with OpenVino. The original Keras model used sigmoid to return scores ranging from 0 to 1 for binary classification. After converting the model for use with OpenVino, the scores are all near 0.99 for both classes but seem slightly lower for one of the classes.
For example, test1.jpg and test2.jpg (from opposite classes) yield scores of 0.00320357 and 0.9999, respectively.
With OpenVino, the same images yield scores of 0.9998982 and 0.9962392, respectively.
Edit* One suspicion is that the input array is still accepted by the OpenVino model but is somehow changed in shape or "scrambled" and therefore is never a match for class one? In other words, if you fed it random noise, the score would also always be 0.9999. Maybe I'd have to somehow get the OpenVino model to accept the original shape (1,180,180,3) instead of (1,3,180,180) so I don't have to force the input into a different shape than the one the original model accepted? That's weird though because I specified the shape when making the xml and bin for openvino:
...ANSWER
Answered 2022-Jan-05 at 06:06Generally, Tensorflow is the only network with the shape NHWC while most others use NCHW. Thus, the OpenVINO Inference Engine satisfies the majority of networks and uses the NCHW layout. Model must be converted to NCHW layout in order to work with Inference Engine.
The conversion of the native model format into IR involves the process where the Model Optimizer performs the necessary transformation to convert the shape to the layout required by the Inference Engine (N,C,H,W). Using the --input_shape parameter with the correct input shape of the model should suffice.
Besides, most TensorFlow models are trained with images in RGB order. In this case, inference results using the Inference Engine samples may be incorrect. By default, Inference Engine samples and demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the sample or demo application or reconvert your model using the Model Optimizer tool with --reverse_input_channels argument.
I suggest you validate this by inferring your model with the Hello Classification Python Sample instead since this is one of the official samples provided to test the model's functionality.
You may refer to this "Intel Math Kernel Library for Deep Neural Network" for deeper explanation regarding the input shape.
QUESTION
The following code does fail on MSVC but compiles on GCC and Clang, godbolt
...ANSWER
Answered 2021-Dec-24 at 16:40Apparently this is a long time know bug with a combination of MSVC STL implementation choices and Standard specifications...
The issue I found when I was going to submit a bug report, from 2018: https://developercommunity.visualstudio.com/t/C2280-when-modifying-a-vector-containing/377449
- This error is present in MSVC 2017 and after.
- It seems like
notgoing to be fixed. (see @Alex Guteniev's comment)
The explanation given: https://www.reddit.com/r/cpp/comments/6q94ai/chromium_windows_builds_now_use_clangcl_by_default/dkwdd8l/
- There is a workaround:
vector>>, where the Wrapper is also a non-copyable type.
QUESTION
So I am having a twig/timber issue where I have a difficult time getting a placeimage set, here is what I have so far:
ANSWER
Answered 2021-Oct-23 at 15:52This is an issue with the way twig/timber defines paths!!! Supper weird way of doing things which adds unnecessary complexity to a project.
That being said, according to their documentation, you could add a filter called relative to the end of your defaultimg variable which converts an absolute URL into a relative one which eventually outputs the correct path to your default image.
So your code would be something like this:
- Defining the path to your default image:
QUESTION
I have a table style that renders fine when its given enough space:
However, when the width of the parent container is not wide enough the table is hidden:
I can fix this by adding display: block on the table. This will add a horizontal scrollbar:
However, this causes the header to not take up available space when the parent container is very wide:
Is there a way I can get the scrollbar to appear when the parent container is too small, get the header to take up the available space and maintain the look and feel of the table?
...ANSWER
Answered 2021-Oct-13 at 14:52You can remove display: block; on table and replace overflow: hidden; with overflow: auto; on .container.
QUESTION
I'm trying to stop my elements from overlapping using interact.js, but I don't have any idea how to get the n elements to be able to do it. Does anyone have an idea? Or some other way I can validate it. Try the solution to this question, but I don't understand how to get the list of elements to go through it. enter link description here
...ANSWER
Answered 2021-Oct-03 at 18:14What you are looking for is collision detection. When you move or resize your box you can check if the new dimensions/position does collide with other boxes. If that is the case then you can ignore the movement/resize.
Because your code snippet contained a lot of invalid HTML I had to strip most of it to make it work. Please do spend some time making valid HTML when/if you ask your next question. Some errors that were present in your HTML code:
- All content was made in the
element - Usage of HTML tags. Only certain tags can exist out of one tag like
is not and the proper way of writing some HTML tags like input is(without closing tag) - Closing tags
without any starting tags - Closing parent tags before closing all the child tags
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