dino | PyTorch code for Vision Transformers training | Computer Vision library

 by   facebookresearch Python Version: Current License: Apache-2.0

kandi X-RAY | dino Summary

kandi X-RAY | dino Summary

dino is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Transformer applications. dino has no bugs, it has a Permissive License and it has medium support. However dino has 5 vulnerabilities and it build file is not available. You can download it from GitHub.

PyTorch implementation and pretrained models for DINO. For details, see Emerging Properties in Self-Supervised Vision Transformers. [blogpost] [arXiv] [Yannic Kilcher's video].
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            kandi-support Support

              dino has a medium active ecosystem.
              It has 4892 star(s) with 742 fork(s). There are 67 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 75 open issues and 145 have been closed. On average issues are closed in 33 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dino is current.

            kandi-Quality Quality

              dino has no bugs reported.

            kandi-Security Security

              dino has 5 vulnerability issues reported (0 critical, 4 high, 1 medium, 0 low).

            kandi-License License

              dino 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

              dino releases are not available. You will need to build from source code and install.
              dino has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dino and discovered the below as its top functions. This is intended to give you an instant insight into dino implemented functionality, and help decide if they suit your requirements.
            • Train the dino experiment .
            • Evaluate the network .
            • Return argument parser .
            • Generate inference images .
            • Compute the map for the given rank .
            • Extract the feature pipeline .
            • Train one epoch .
            • Logs an iterable .
            • Evaluate a video tracking dirs .
            • Extract features from data loader .
            Get all kandi verified functions for this library.

            dino Key Features

            No Key Features are available at this moment for dino.

            dino Examples and Code Snippets

            EsViT
            Pythondot img1Lines of Code : 63dot img1License : Permissive (MIT)
            copy iconCopy
            import torch
            from vit_pytorch.cvt import CvT
            from vit_pytorch.es_vit import EsViTTrainer
            
            cvt = CvT(
                num_classes = 1000,
                s1_emb_dim = 64,
                s1_emb_kernel = 7,
                s1_emb_stride = 4,
                s1_proj_kernel = 3,
                s1_kv_proj_stride = 2,
                s1_  
            EsViT
            pypidot img2Lines of Code : 63dot img2no licencesLicense : No License
            copy iconCopy
            import torch
            from vit_pytorch.cvt import CvT
            from vit_pytorch.es_vit import EsViTTrainer
            
            cvt = CvT(
                num_classes = 1000,
                s1_emb_dim = 64,
                s1_emb_kernel = 7,
                s1_emb_stride = 4,
                s1_proj_kernel = 3,
                s1_kv_proj_stride = 2,
                s1_  
            Dino
            Pythondot img3Lines of Code : 43dot img3License : Permissive (MIT)
            copy iconCopy
            import torch
            from vit_pytorch import ViT, Dino
            
            model = ViT(
                image_size = 256,
                patch_size = 32,
                num_classes = 1000,
                dim = 1024,
                depth = 6,
                heads = 8,
                mlp_dim = 2048
            )
            
            learner = Dino(
                model,
                image_size = 256,
                h  
            dgl - evaluate model
            Pythondot img4Lines of Code : 134dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            import argparse
            import os
            
            import auxiliaries as aux
            import datasets as data
            import evaluate as eval
            import netlib as netlib
            import torch
            
            if __name__ == "__main__":
            
                ################## INPUT ARGUMENTS ###################
                parser = argparse.Ar  

            Community Discussions

            QUESTION

            How and where can i freeze classifier layer?
            Asked 2021-Jun-12 at 20:29

            If I need to freeze the output layer of this model which is doing the classification as I don't need it.

            ...

            ANSWER

            Answered 2021-Jun-11 at 15:33

            You are confusing a few things here (I think)

            Freezing layers

            You freeze the layer if you don't want them to be trained (and don't want them to be part of the graph also).

            Usually we freeze part of the network creating features, in your case it would be everything up to self.head.

            After that, we usually only train bottleneck (self.head in this case) to fine-tune it for the task at hand.

            In case of your model it would be:

            Source https://stackoverflow.com/questions/67939448

            QUESTION

            Group array of objects by multiple keys using d3.groups
            Asked 2021-Jun-03 at 08:54

            I've this dataset:

            ...

            ANSWER

            Answered 2021-Jun-03 at 08:54

            You can chain a .reduce after d3.groups in order that the nested array is recast into a nested object.

            You can initialize the reduce with {} so it returns an object. curr[0] for each array returned from d3.groups will be the animal. curr[1] for each array returned from d3.groups will be the array of the status and the original array of items grouped per the animal/ status logic.

            See below:

            Source https://stackoverflow.com/questions/67817524

            QUESTION

            Rendering of page before data from useEffect is recieved
            Asked 2021-May-25 at 20:15

            I'm new to React and I'm building a webshop with React, typescript and a self-made API.

            I'm trying to get the Cart component to work. It fetches from the API the ID's of the products, and based on those it fetches the products with those ID's, and puts the products in the array dinosArray.

            Now, I'm trying to render a new row in the table for each product in the dinosArray. My problem is just that the mapping and thereby rendering of the rows happen before the dinosArray is populated - resulting in no rows added since the dinosArray is empty when being mapped over.

            How do I achieve my goal of rendering a new row in the table based on each entry in the dinosArray?

            Below is the code of the component:

            ...

            ANSWER

            Answered 2021-May-25 at 20:12

            You need to use state.

            State is a value that a component has, which cause the component to re-render when new state is set.

            So in this case, change this:

            Source https://stackoverflow.com/questions/67694776

            QUESTION

            Filter out array of objects by specific values and keys defined in another array
            Asked 2021-May-25 at 12:27

            I've this data:

            ...

            ANSWER

            Answered 2021-May-25 at 10:56

            You could filter the object with a check of the properties.

            Source https://stackoverflow.com/questions/67686467

            QUESTION

            How to align headers underneath images using flexbox?
            Asked 2021-May-21 at 20:28

            I'm making a clothing website just as a project to learn and I barely know anything about flexbox and decided to use it for this and I'm trying to get the product name and price to go under the image rather then to the right as shown in the image here: What it looks like now

            ...

            ANSWER

            Answered 2021-May-21 at 20:26

            In your case flex isn't really required, and you might want to consider using the figure tag for your use case.

            PS - In the future, generally a display of effort with a reproducible example is required but welcome to SO with a freebie ;)

            UPDATE: Since you updated your question with example. Just add flex-direction: column; to the .product-card class since flex is direction row by default. Cheers.

            Source https://stackoverflow.com/questions/67643300

            QUESTION

            Groups and counts data based on year of a Date field
            Asked 2021-May-21 at 18:04

            I've this dataset:

            ...

            ANSWER

            Answered 2021-May-21 at 10:57

            You can easily achieve this result using reduce.

            Source https://stackoverflow.com/questions/67635259

            QUESTION

            Restapi GET call making website extremely slow
            Asked 2021-May-19 at 04:34

            I'm using React with typescript and a self-made RESTapi. I'm making a GET request on one page, and for some reason my website is extremely slow, and is sometimes even completely blocking the UI - which started happening after implementing the GET RESTapi call in the getData() and renderMultipleCards() function.

            Does anyone know why this is happening, and how to fix it?

            ...

            ANSWER

            Answered 2021-May-19 at 04:34

            The renderMultipleCards is issuing a side-effect of fetching data during the render cycle, and then updating state. This causes render looping.

            You likely only need to fetch the data once when the component mounts. Use a mounting useEffect hook (i.e. empty dependency) to accomplish this. Remove the getData(apiUrl) call from renderMultipleCards.

            Source https://stackoverflow.com/questions/67581139

            QUESTION

            Rest API get call - put data in array - with typescript and react
            Asked 2021-May-16 at 21:04

            I want to write a function that gets the data from the rest api get call and then saves that data that was received in an array. Right now I can get the data to show up correctly in the console (the console.log(response) shows the correct data that is returned from the api call). But the dinos useState array is always undefined, even though it should be set to the correct data in the getData method. What can I do to make it work?

            Thanks in advance!

            ...

            ANSWER

            Answered 2021-May-16 at 21:04

            Remove all of the unneccessary JSON parsing and stringifying:

            Source https://stackoverflow.com/questions/67561418

            QUESTION

            Plot seaborn boxplot for multiple columns and compare with a standard scale
            Asked 2021-May-14 at 05:30

            I am a newbie in data analysis. I wish to know how to boxplot multiple columns (x-axis = Points, Score, Weigh) in a single graph and make the y-axis as a standardized scale for comparison. I have tried and couldn't understand the code (Python+Pandas+Seaborn) for this. Help me out guys. The dataset for the same is as follows:

            Cars Points Score Weigh 0 Mazda RX4 3.90 2.620 16.46 1 Mazda RX4 Wag 3.90 2.875 17.02 2 Datsun 710 3.85 2.320 18.61 3 Hornet 4 Drive 3.08 3.215 19.44 4 Hornet Sportabout 3.15 3.440 17.02 5 Valiant 2.76 3.460 20.22 6 Duster 360 3.21 3.570 15.84 7 Merc 240D 3.69 3.190 20.00 8 Merc 230 3.92 3.150 22.90 9 Merc 280 3.92 3.440 18.30 10 Merc 280C 3.92 3.440 18.90 11 Merc 450SE 3.07 4.070 17.40 12 Merc 450SL 3.07 3.730 17.60 13 Merc 450SLC 3.07 3.780 18.00 14 Cadillac Fleetwood 2.93 5.250 17.98 15 Lincoln Continental 3.00 5.424 17.82 16 Chrysler Imperial 3.23 5.345 17.42 17 Fiat 128 4.08 2.200 19.47 18 Honda Civic 4.93 1.615 18.52 19 Toyota Corolla 4.22 1.835 19.90 20 Toyota Corona 3.70 2.465 20.01 21 Dodge Challenger 2.76 3.520 16.87 22 AMC Javelin 3.15 3.435 17.30 23 Camaro Z28 3.73 3.840 15.41 24 Pontiac Firebird 3.08 3.845 17.05 25 Fiat X1-9 4.08 1.935 18.90 26 Porsche 914-2 4.43 2.140 16.70 27 Lotus Europa 3.77 1.513 16.90 28 Ford Pantera L 4.22 3.170 14.50 29 Ferrari Dino 3.62 2.770 15.50 30 Maserati Bora 3.54 3.570 14.60 31 Volvo 142E 4.11 2.780 18.60

            My output should look something like: Output Boxplot Graph

            ...

            ANSWER

            Answered 2021-May-14 at 04:20

            boxplot = df.boxplot(column=['Points', 'Score', 'Weight'])

            might work here

            Source https://stackoverflow.com/questions/67528790

            QUESTION

            Get json value with json key
            Asked 2021-May-12 at 23:05

            I have this json object in javascript

            ...

            ANSWER

            Answered 2021-May-12 at 22:34

            You can filter based on the names of the products:

            Source https://stackoverflow.com/questions/67511661

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

            Vulnerabilities

            No vulnerabilities reported

            Install dino

            You can download it from GitHub.
            You can use dino 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

            Please install PyTorch and download the ImageNet dataset. This codebase has been developed with python version 3.6, PyTorch version 1.7.1, CUDA 11.0 and torchvision 0.8.2. The exact arguments to reproduce the models presented in our paper can be found in the args column of the pretrained models section. For a glimpse at the full documentation of DINO training please run:.
            Find more information at:

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            https://github.com/facebookresearch/dino.git

          • CLI

            gh repo clone facebookresearch/dino

          • sshUrl

            git@github.com:facebookresearch/dino.git

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