models | Officially maintained supported by PaddlePaddle | Machine Learning library

 by   PaddlePaddle Python Version: v2.0.0-beta License: Apache-2.0

kandi X-RAY | models Summary

kandi X-RAY | models Summary

models is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. models has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However models build file is not available. You can download it from GitHub.

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
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            kandi-support Support

              models has a highly active ecosystem.
              It has 6793 star(s) with 2966 fork(s). There are 275 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 693 open issues and 1284 have been closed. On average issues are closed in 245 days. There are 176 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of models is v2.0.0-beta

            kandi-Quality Quality

              models has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              models is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              models releases are available to install and integrate.
              models has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed models and discovered the below as its top functions. This is intended to give you an instant insight into models implemented functionality, and help decide if they suit your requirements.
            • Blurring Gaussian blurring
            • Convert image into PIL image
            • Return a dictionary of meter values
            • Convert a PIL image into a Tensor
            • Apply transform to image
            • Check if the given image is a PIL image
            • Get image size
            • Get random parameters
            • Train one epoch
            • Evaluate classification
            • Load a model weight
            • Get argument parser
            • Compute the polynomial map
            • Crop the given image
            • Runs the prediction
            • Compute the loss and gradient of the loss
            • Calculate precision accuracy
            • Prints the parsed configuration dictionary
            • Run evaluation
            • Argument parser
            • Setup a logger
            • Load training data
            • Prints a log message to stdout
            • Compute soft weights for a given threshold
            • Calculate training staus
            • Compute the precision - recall curve for each class
            • Apply cutout to an image
            Get all kandi verified functions for this library.

            models Key Features

            No Key Features are available at this moment for models.

            models Examples and Code Snippets

            Tutorial 4: Customize Models-Develop new components-Add new heads
            Pythondot img1Lines of Code : 139dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            from mmdet.models.builder import HEADS
            from .bbox_head import BBoxHead
            
            @HEADS.register_module()
            class DoubleConvFCBBoxHead(BBoxHead):
                r"""Bbox head used in Double-Head R-CNN
            
                                                  /-> cls
                              /-&  
            copy iconCopy
            mmdetection
            ├── mmdet
            ├── tools
            ├── configs
            ├── data
            │   ├── coco
            │   │   ├── annotations
            │   │   ├── train2017
            │   │   ├── val2017
            │   │   ├── test2017
            │   ├── cityscapes
            │   │   ├── annotations
            │   │   ├── leftImg8bit
            │   │   │   ├── train
            │   │     
            Tutorial 4: Customize Models-Develop new components-Add new loss
            Pythondot img3Lines of Code : 37dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            import torch
            import torch.nn as nn
            
            from ..builder import LOSSES
            from .utils import weighted_loss
            
            @weighted_loss
            def my_loss(pred, target):
                assert pred.size() == target.size() and target.numel() > 0
                loss = torch.abs(pred - target)
                ret  
            pytorch-image-models - generate readmes
            Pythondot img4Lines of Code : 43dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            """
            Run this script to generate the model-index files in `models` from the templates in `.templates/models`.
            """
            
            import argparse
            from pathlib import Path
            
            from jinja2 import Environment, FileSystemLoader
            
            import modelindex
            
            
            def generate_readmes(tem  
            copy iconCopy
            public static List getModelsAfter2000(List cars) {
                List carsSortedByYear = new ArrayList<>();
            
                for (Car car : cars) {
                  if (car.getYear() > 2000) {
                    carsSortedByYear.add(car);
                  }
                }
            
                Collections.sort(carsSorted  
            Rebuilds all loaded models .
            pythondot img6Lines of Code : 20dot img6License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _reconstruct_all_models(self):
                """Reconstructs the network structure of all models."""
                all_initialized_models = set()
                while self._models_to_reconstruct:
                  model_id = self._models_to_reconstruct.pop(0)
                  all_initialized_models.  

            Community Discussions

            QUESTION

            Entity Framework | Sequence contains more than one matching element
            Asked 2022-Mar-31 at 09:23

            I used the database first approach. The model is right (or at least it looks like) But I always get this error. Please, I've already tried so many things.. The full code of my program (and even sql script by which I create my database) is here: https://github.com/AntonioParroni/test-task-for-backend-stack/blob/main/Server/Models/ApplicationContext.cs

            Since I have a mac. I created my model with dotnet ef cli commands (dbcontext scaffold) I can use my context. But I can't touch any DbSet..

            ...

            ANSWER

            Answered 2022-Mar-31 at 09:23

            You have net6.0 target framework which is still not released while you have installed EF6 which is a previous iteration Entity Framework (mainly used with legacy .NET Framework projects) and you also have EF Core (a modern iteration of it) but older version - 5.0 (which you are actually using for your context, see the using Microsoft.EntityFrameworkCore; statements there).

            Try removing EntityFramework package and installing preview version of Microsoft.EntityFrameworkCore.SqlServer (possibly just updating to the latest 5 version also can help) and either removing completely or installing preview version of Microsoft.EntityFrameworkCore.Design. (Also I would recommend to update your SDK to rc and install rc versions of packages).

            Or try removing the reference to EntityFramework (not Core one) and changing target framework to net5.0 (if you have it installed on your machine).

            As for why do you see this exception - I would guess it is related to new methods added to Queryable in .NET 6 which made one of this checks to fail.

            TL;DR

            As mentioned in the comments - update EF Core to the corresponding latest version (worked for 5.0 and 3.1) or update to .NET 6.0 and EF Core 6.

            Source https://stackoverflow.com/questions/69236321

            QUESTION

            Keras AttributeError: 'Sequential' object has no attribute 'predict_classes'
            Asked 2022-Mar-23 at 04:30

            Im attempting to find model performance metrics (F1 score, accuracy, recall) following this guide https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/

            This exact code was working a few months ago but now returning all sorts of errors, very confusing since i havent changed one character of this code. Maybe a package update has changed things?

            I fit the sequential model with model.fit, then used model.evaluate to find test accuracy. Now i am attempting to use model.predict_classes to make class predictions (model is a multi-class classifier). Code shown below:

            ...

            ANSWER

            Answered 2021-Aug-19 at 03:49

            This function were removed in TensorFlow version 2.6. According to the keras in rstudio reference

            update to

            Source https://stackoverflow.com/questions/68836551

            QUESTION

            cannot import name '_registerMatType' from 'cv2.cv2'
            Asked 2022-Mar-17 at 14:47

            I got below error message when I run model_main_tf2.py on Object Detection API:

            ...

            ANSWER

            Answered 2021-Dec-31 at 03:38

            The same thing occurred to me yesterday when I used Colab. A possible reason may be that the version of opencv-python(4.1.2.30) does not match opencv-python-headless(4.5.5.62). Or the latest version 4.5.5 may have something wrong...

            I uninstalled opencv-python-headless==4.5.5.62 and installed 4.1.2.30 and it fixed.

            Source https://stackoverflow.com/questions/70537488

            QUESTION

            How to use SageMaker Estimator for model training and saving
            Asked 2022-Mar-12 at 19:39

            The documentations of how to use SageMaker estimators are scattered around, sometimes obsolete, incorrect. Is there a one stop location which gives the comprehensive views of how to use SageMaker SDK Estimator to train and save models?

            ...

            ANSWER

            Answered 2022-Mar-12 at 19:39
            Answer

            There is no one such resource from AWS that provides the comprehensive view of how to use SageMaker SDK Estimator to train and save models.

            Alternative Overview Diagram

            I put a diagram and brief explanation to get the overview on how SageMaker Estimator runs a training.

            1. SageMaker sets up a docker container for a training job where:

              • Environment variables are set as in SageMaker Docker Container. Environment Variables.
              • Training data is setup under /opt/ml/input/data.
              • Training script codes are setup under /opt/ml/code.
              • /opt/ml/model and /opt/ml/output directories are setup to store training outputs.

            Source https://stackoverflow.com/questions/69024005

            QUESTION

            How to fix the error (TypeError: Cannot assign to read only property 'map' of object '#')
            Asked 2022-Mar-05 at 09:40

            I am sending my data to MongoDB via Mongoose. Now, during the fetch of API route for it, an error is thrown.

            Code

            ...

            ANSWER

            Answered 2022-Feb-11 at 00:32

            This issue occured recently and apparently its happening with latest version of node.

            issue link

            So you can change the version of node to older version and it will be fixed. I am using node version v14.19.0

            Source https://stackoverflow.com/questions/71073107

            QUESTION

            Google app engine deployment fails- Error while finding module specification for 'pip' (AttributeError: module '__main__' has no attribute '__file__')
            Asked 2022-Jan-08 at 22:02

            We are using command prompt c:\gcloud app deploy app.yaml, but get the following error:

            ...

            ANSWER

            Answered 2022-Jan-06 at 09:24

            Your setuptools version is likely to be yanked:

            https://pypi.org/project/setuptools/60.3.0/

            Not sure how to fix that without a working pip though.

            Source https://stackoverflow.com/questions/70602290

            QUESTION

            Laravel eloquent with multiple inner joins
            Asked 2021-Dec-30 at 04:11

            I currently am doing a raw sql query however this is causing issues with relationships and model boot methods.

            Is it possible to do the following SQL query but with laravel eloquent models by relationship? Note all db tables have FK's defined, and relationships either HasOne or HasMany relationships.

            ...

            ANSWER

            Answered 2021-Dec-11 at 23:16

            Yes, You can do it with Eloquent I'll share an example with you I can't read your Mess Query sorry for this but I will suggest you to do this

            Source https://stackoverflow.com/questions/70318632

            QUESTION

            ImportError: cannot import name 'BatchNormalization' from 'keras.layers.normalization'
            Asked 2021-Nov-13 at 07:14

            i have an import problem when executing my code:

            ...

            ANSWER

            Answered 2021-Oct-06 at 20:27

            You're using outdated imports for tf.keras. Layers can now be imported directly from tensorflow.keras.layers:

            Source https://stackoverflow.com/questions/69471749

            QUESTION

            How to setup Django permissions to be specific to a certain model's instances?
            Asked 2021-Oct-23 at 13:45

            Please consider a simple Django app containing a central model called Project. Other resources of this app are always tied to a specific Project.

            Exemplary code:

            ...

            ANSWER

            Answered 2021-Oct-17 at 16:37

            My answer is on the basis of a user should be able to have a view_page permission for one project instance, and don't have it for another instance.

            So basically you will have to catch first user visit == first model instance , you can create FirstVisit model which will catch and save each first instance using url, user.id and page.id, then you check if it exists.

            Source https://stackoverflow.com/questions/69570682

            QUESTION

            How to implement a global exception handling in Raku Cro Application
            Asked 2021-Sep-30 at 09:48

            I am working with a rather larger Cro application with dozens of routes, models and other logic. At the moment in each route block is a CATCH to handle exception. That is not much maintenance friendly, not to speak of the work to add them. So, I was wondering if its a better way to do that. One CATCH handler in the main route block does not work. The exceptions are only caught in the route block where they are thrown. Threading issue probably. Is there one place where I can implement an exception handler which gets all exceptions and can handle them without causing the application to die?

            ...

            ANSWER

            Answered 2021-Sep-30 at 09:48

            You can use the around function in your route block to specify something that wraps around all of the route handlers. The documentation of around gives an example of using it to handle exceptions thrown by all route handlers in the route block (repeated here for convenience):

            Source https://stackoverflow.com/questions/69386343

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

            Vulnerabilities

            No vulnerabilities reported

            Install models

            You can download it from GitHub.
            You can use models like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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