vmap | Surface velocity map generation using ASP

 by   dshean Python Version: 1.1.1 License: MIT

kandi X-RAY | vmap Summary

kandi X-RAY | vmap Summary

vmap is a Python library typically used in Manufacturing, Utilities, Energy, Utilities applications. vmap has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install vmap' or download it from GitHub, PyPI.

The ASP/VW correlator is fast, memory-efficient, multi-threaded, and generalized. This means it can be used for efficient feature tracking operations on two arbitrary input rasters acquired at different times.
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            kandi-support Support

              vmap has a low active ecosystem.
              It has 11 star(s) with 7 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              vmap has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of vmap is 1.1.1

            kandi-Quality Quality

              vmap has 0 bugs and 0 code smells.

            kandi-Security Security

              vmap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              vmap code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              vmap is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              vmap releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 545 lines of code, 13 functions and 8 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed vmap and discovered the below as its top functions. This is intended to give you an instant insight into vmap implemented functionality, and help decide if they suit your requirements.
            • The main function of the script .
            • Get stereo options .
            • get argument parser
            • Generate GDAL dataset
            • Run a command .
            • Plots the quiver plot
            • Plots a streamline plot
            • Make matplotlib plot
            • Get the velocant vector from a file .
            • Create a symbolic link .
            Get all kandi verified functions for this library.

            vmap Key Features

            No Key Features are available at this moment for vmap.

            vmap Examples and Code Snippets

            No Code Snippets are available at this moment for vmap.

            Community Discussions

            QUESTION

            vmap gives inconsistent shape error when trying to calculate gradient per sample
            Asked 2022-Feb-18 at 20:29

            I am trying to implement a two layer neural network and get the gradient of the second layer per sample.

            My code looks like this:

            ...

            ANSWER

            Answered 2022-Feb-18 at 20:29

            The issue is exactly what the error message says: in order to vmap an operation over multiple arrays, the dimension of the mapped axes in each array must be equal. In your arrays, the dimensions are not equal: you passed in_axes=(0, None, 0, 0, 0) for arguments W1, W2, b, x, y, but W1.shape[0] = 10, b.shape[0] = 1, x.shape[0] = 11, and y.shape[0] = 11.

            Because these are not equal, you get this error. To prevent this error, you should only vmap over array axes of the same length.

            For example, if you want the gradients with respect to W2 computed per pair of W1, W2 inputs, it might look something like this (note the updated predict function and updated in_axes):

            Source https://stackoverflow.com/questions/71168030

            QUESTION

            Select multiple classes with attr. with jQuery
            Asked 2022-Feb-18 at 14:25

            I have a function that I use for an interactive map, where I hover an element to show a specific region based on class that matches a country suffix. Im trying to figure out how to select multiple classes to show multiple regions.

            Code:

            ...

            ANSWER

            Answered 2022-Feb-18 at 14:25

            You can modify your select/deselect function to accept array of classes, or instead loop the classes and invoke select/deselect for each class name:

            Source https://stackoverflow.com/questions/71172222

            QUESTION

            How to point from the inputs of shape (100,24,24,6) the last channel dimension i.e (6,) to be worked on?
            Asked 2022-Feb-16 at 17:35

            I am trying to use the tf.map_fn() , where my elems should be pointing to the channel dimension of my inputs(shape = 100,24,24,6), so my elems should be a list/tuple of tensors, pointing or accessing the values of the channel dimension(6) of the inputs .I am trying to do it by making a for loop in such a way :

            @tf.function def call(self, inputs, training=True):

            ...

            ANSWER

            Answered 2022-Feb-16 at 11:41

            First, instead of doing a for loop (try to avoid for efficiency), you can just reshape that way:

            elems = tf.reshape(inputs,-1)

            Second, what do you want to do exactly? What do you mean by "it doesn't work"? What is the error message? What is self.do_mapping?

            Best,

            Keivan

            Source https://stackoverflow.com/questions/71138235

            QUESTION

            TypeError: Argument 'MLP( # attributes num_neurons_per_layer = [4, 1] )' of type is not a valid JAX type
            Asked 2022-Feb-04 at 23:14

            I'm having some issues testing a basic model on Jax. For example, I'm trying to implement the value_and_grad() function from Jax manually for a binary classification problem. Here is my model initializer:

            ...

            ANSWER

            Answered 2022-Feb-04 at 23:14

            Flax models must be marked as static for use in jit:

            Source https://stackoverflow.com/questions/70991484

            QUESTION

            Parse a CSV file, loop and insert rows into a PostGreSQL database
            Asked 2022-Jan-31 at 21:24

            I use the Python psycopg2 module to copy the content of a csv file (a list of users) into a PostGreSQL database.
            So I begin to parse the CSV with the Python pandas module. Then with a for loop, I try to insert my data in my SQL queries.
            I have two problems :

            a) When I execute the role query (query 2 - see below) to create new roles in the database, I get 'user' instead of user. How could I do to insert the roles with the right syntax ?
            b) The queries 3 and 4 (see below) give the following error :

            ...

            ANSWER

            Answered 2022-Jan-31 at 21:12
            Reading the CSV

            First of all, there is probably no need for pandas here, since you only need to open the csv file and parse its contents. Using the built-in csv module should be enough.

            You can read the file like this:

            Source https://stackoverflow.com/questions/70932615

            QUESTION

            in_axes keyword in JAX's vmap
            Asked 2022-Jan-03 at 13:55

            I'm trying to understand JAX's auto-vectorization capabilities using vmap and implemented a minimal working example based on JAX's documentation.

            I don't understand how in_axes is used correctly. In the example below I can set in_axes=(None, 0) or in_axes=(None, 1) leading to the same results. Why is that the case?

            And why do I have to use in_axes=(None, 0) and not something like in_axes=(0, )?

            ...

            ANSWER

            Answered 2022-Jan-03 at 13:55

            in_axes=(None, 0) means that the first argument (here params) will not be mapped, while the second argument (here input_vec) will be mapped along axis 0.

            In the example below I can set in_axes=(None, 0) or in_axes=(None, 1) leading to the same results. Why is that the case?

            This is because input_vec is a 2x2 matrix of ones, so whether you map along axis 0 or axis 1, the input vectors are length-2 vectors of ones. In more general cases, the two specifications are not equivalent, which you can see by either (1) making batch_size differ from input_dims[0], or (2) filling your arrays with non-constant values.

            why do I have to use in_axes=(None, 0) and not something like in_axes=(0, )?

            If you set in_axes=(0, ) for a function with two arguments, you get an error because the length of the in_axes tuple must match the number of arguments passed to the function. That said, it is possible to pass a scalar in_axes=0 as a shorthand for in_axes=(0, 0), but for your function this would lead to a shape error because the leading dimension of the arrays in params does not match the leading dimension of input_vec.

            Source https://stackoverflow.com/questions/70564419

            QUESTION

            What is the dot (.) in an Nftables rule
            Asked 2021-Dec-16 at 06:41

            In many nftables examples, I sometimes see statement like this:

            ...

            ANSWER

            Answered 2021-Dec-16 at 06:41

            Concatenation

            There's some more details about it in the wiki

            Source https://stackoverflow.com/questions/70374788

            QUESTION

            How to understand the Content-Security-Policy (CSP) rules by the popular websites?
            Asked 2021-Nov-25 at 09:54

            Recently I was doing some research on CSP, and I found some weird declarations of CSP from dominant websites.

            For Facebook, after logging in, the CSP is like:

            ...

            ANSWER

            Answered 2021-Nov-25 at 09:54

            QUESTION

            Graph-tool vertex label with add_edges_from
            Asked 2021-Nov-20 at 17:15

            I tried my best to look for the solution online, but cannot seem to find one for my graph_tool network. I have a pandas dataframe df that has three columns: id_source, id_target, weight. The id_source and id_target contain names in text form. I want to use them as vertex labels. However, when adding edges from a pandas dataframe, I must set hashed=True. The code then looks like this

            ...

            ANSWER

            Answered 2021-Nov-20 at 17:06

            From the documentation for Graph.add_edge_list:

            Add a list of edges to the graph, given by edge_list, which can be an iterator of (source, target) pairs where both source and target are vertex indexes, or a numpy.ndarray of shape (E,2), where E is the number of edges, and each line specifies a (source, target) pair. If the list references vertices which do not exist in the graph, they will be created.

            You have passed df.values for edge_list, which has three columns (ie a shape of (E, 3)), but two columns are expected (a shape of (E, 2)).

            Try this:

            Source https://stackoverflow.com/questions/70048008

            QUESTION

            Terraform: Deploy Kubernetes Services with Traffic Manager Endpoint
            Asked 2021-Nov-08 at 12:23

            I need solution to add the Kubernetes services inside the Traffic manager using terraform and in order to do that I need to have a public IP address for each cluster, but it seems that IP is created under different subscription after deployment.

            Tried playing with azurerm_traffic_manager_endpoint about different Types like azureEndpoints and nestedEndpoints but it seems that the script is failing with the same error listed below.

            Below is my script which I want to deploy and I will share the error:

            Error:

            creating/updating nestedEndpoints Endpoint "vmap-tmep" (Traffic Manager Profile "vmap-tm" / Resource Group "RG-TEST-TEST"): trafficmanager.EndpointsClient#CreateOrUpdate: Failure responding to request: StatusCode=400 -- Original Error: autorest/azure: Service returned an error. Status=400 Code="BadRequest" Message="The 'resourceTargetId' property of endpoint 'vmap-tmep' is invalid or missing. The property must be specified only for the following endpoint types: AzureEndpoints, NestedEndpoints. You must have read access to the resource to which it refers."

            ...

            ANSWER

            Answered 2021-Nov-08 at 12:23

            As already discussed You need to change few things in your code in-order to use traffic manager for AKS.

            1. You need to use azureEndpoints instead of nestedEndpoints as the Traffic Manager endpoint Type.

            2. As there are currently four services (Cloud Service ,App Service, App Service Slots and Public IP's) which support the Traffic manager . So , you have to use the Public IP which is being used by the AKS .

              You have to use the below block:

            Source https://stackoverflow.com/questions/69852317

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install vmap

            Install the latest release from PyPI:. Note: by default, this will deploy executable scripts in /usr/local/bin.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • PyPI

            pip install vmap

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            https://github.com/dshean/vmap.git

          • CLI

            gh repo clone dshean/vmap

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            git@github.com:dshean/vmap.git

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