dhash | Python library to calculate the difference hash | Hashing library

 by   Jetsetter Python Version: v1.3 License: MIT

kandi X-RAY | dhash Summary

kandi X-RAY | dhash Summary

dhash is a Python library typically used in Security, Hashing applications. dhash 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 dhash' or download it from GitHub, PyPI.

Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
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            kandi-support Support

              dhash has a low active ecosystem.
              It has 197 star(s) with 24 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 4 have been closed. On average issues are closed in 40 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dhash is v1.3

            kandi-Quality Quality

              dhash has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              dhash 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

              dhash releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              dhash saves you 73 person hours of effort in developing the same functionality from scratch.
              It has 190 lines of code, 10 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            dhash Key Features

            No Key Features are available at this moment for dhash.

            dhash Examples and Code Snippets

            Slow performance in hashing images in Python
            Pythondot img1Lines of Code : 31dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            parallel magick -size 640x480 xc: +noise random {}.jpg ::: {1..1000}
            
            #!/usr/bin/env python3
                
            # https://stackoverflow.com/a/70709538/2836621
                
            import dhash
            import glob
            from PIL import Image
            from concurrent.fu
            Slow performance in hashing images in Python
            Pythondot img2Lines of Code : 24dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import dhash
            import glob
            from wand.image import Image
            from concurrent.futures import ProcessPoolExecutor
            from multiprocessing import Manager
            
            PATH = '*.jpg'
            
            def makehash(t):
                filename, d = t
                with Image(filename=filename) as image:
            
            Finding image similarities in a folder of thousands
            Pythondot img3Lines of Code : 28dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            new_loc = os.chdir(r'''myimagelocation''')
            dirloc = os.listdir(r'''myimagelocation''')
            
            duplicates = []
            dup = []
            
            hashes = []
            
            for file in dirloc:
                hashes.append((file, imagehash.dhash(Image.open(file))))
            
            for pair1, pair2 in itertools.
            Convert Bit Hash to Hex and then back to Bit Hash
            Pythondot img4Lines of Code : 7dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            dhash_hex = format(dhash_bits, '032x')
            
            dhash_bits = int(dhash_hex, 16)
            
            row_hash = int(dhash_hex[:len(dhash_hex) // 2], 16)
            col_hash = int(dhash_hex[len(dhash_hex) // 2:], 16)
            
            How to pair screenshots with videos?
            Pythondot img5Lines of Code : 15dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def dhash(image, hashSize=16): #hashSize=16 worked best for me
                # resize the input image, adding a single column (width) so we
                # can compute the horizontal gradient
                resized = cv2.resize(image, (hashSize + 1, hashSize))
            
                # co
            Error with dhash.get_num_bits_different
            Pythondot img6Lines of Code : 12dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            get_num_bits_different(int(hash1, 16), int(hash2, 16))
            
            def get_num_bits_different(hash1, hash2):
                return bin(hash1 ^ hash2).count('1')
            
            hash1 = '3d77'
            hash2 = '9301'
            
            print(get_num_bits_different(int(hash1, 16),
            python socket file transfer verified with sha256 not working, but only sometimes?
            Pythondot img7Lines of Code : 19dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            rawdata = self.sock.recv(BUFFER_SIZE)
            
            # convert len of msg into two-byte array
            # I am assuming the max size of msg is 65536
            buf = bytearray([len(msg) & 255, len(msg) >> 8])
            sock.sendall(buf)
            sock.sendall(

            Community Discussions

            QUESTION

            Slow performance in hashing images in Python
            Asked 2022-Jan-14 at 16:25

            I have a function to create image difference hash and stored in a list in Python:

            ...

            ANSWER

            Answered 2022-Jan-14 at 13:40

            Multiprocessing would ideal for this as the hashing is CPU intensive.

            Here's what I suggest:

            Source https://stackoverflow.com/questions/70708949

            QUESTION

            javascript indexOf class containing element
            Asked 2021-Nov-06 at 22:50

            I have an array of elements of the same class, how can I search indexOf with only one element from the class

            ...

            ANSWER

            Answered 2021-Nov-06 at 22:50

            The indexOf() method returns the first index at which a given element can be found in the array, or -1 if it is not present. - MDN

            You are looking for the element whose value if 0x001003 but listohashs is an array of objects. So you are comparing the object with 0x001003 which won't be equal so it will return -1.

            You can use findindex here, You have to find the index of the object whose Dlable property value is 0x001003

            Source https://stackoverflow.com/questions/69868468

            QUESTION

            Understanding python syntax - variable followed by parenthesis
            Asked 2021-Jun-04 at 08:45

            I saw this syntax in the python implementation of bitcoin over here.

            https://github.com/samrushing/caesure/blob/master/caesure/bitcoin.py

            I have never seen this syntax before, can someone explain it to me or show me somewhere in the documentation where I can understand it?

            ...

            ANSWER

            Answered 2021-Jun-04 at 08:38

            In Python you can assign functions to variables.

            fout.write is a function, so in this example, D is assigned to that function.

            D = fout.write

            In this line D ('hash: %s\n' % (hexify (dhash (self.render())),)), you are calling the function D, that is, fout.write. It would be the same as:

            fout.write('hash: %s\n' % (hexify (dhash (self.render())),))

            Source https://stackoverflow.com/questions/67834061

            QUESTION

            Numpy error trying to use difference hashing with the ImageHash library
            Asked 2021-Apr-27 at 04:42

            I am trying to perform difference hashing with the python ImageHash library and keep getting a numpy error.

            The error:

            File "/Users/testuser/Desktop/test_folder/test_env/lib/python3.8/site-packages/imagehash.py", line 252, in dhash image = image.convert("L").resize((hash_size + 1, hash_size), Image.ANTIALIAS) AttributeError: 'numpy.ndarray' object has no attribute 'convert'

            The code:

            ...

            ANSWER

            Answered 2021-Apr-27 at 04:42

            as it is mentioned in imagehash library's document, @image must be a PIL instance.. so you cant set numpy array as input of the dshash function.if you want do some preprocess with opencv, you should convert it into PIL array before setting it into dhash, like this :

            Source https://stackoverflow.com/questions/67275803

            QUESTION

            Difference hashing and understanding what these lines of code are doing?
            Asked 2020-Nov-22 at 18:36

            I am new to Python and am writing an application to identify matching images. I am using the dHash algorithm to compare the hashes of images. I have seen in a tutorial the following lines of code:

            ...

            ANSWER

            Answered 2020-Nov-22 at 18:36

            To break it down, the first line pixel_difference = image_resized[0:, 1:] > image_resized[0:, :-1] is basically doing the following:

            Source https://stackoverflow.com/questions/64957283

            QUESTION

            How to calculate Hemming Distance in CosmosDB?
            Asked 2020-Oct-26 at 16:55

            Each item in my collection has a 64-bit number, which represents dhash of the image. I want to run a query by this field, which will return all items, that have Hamming Distance more or less than some param.

            In MySQL I would use BIT_COUNT function. Is there any built-in analog of it in CosmosDB? If no, then how my HAMMING_DISTANCE UDF should look like since JS doesn't support bitwise operations on 64-bit numbers?

            ...

            ANSWER

            Answered 2020-Oct-26 at 16:55

            To solve this I took code from long.js and ImageHash for using in CosmosDB UDF. All cudos to their authors.

            See gist it here https://gist.github.com/okolobaxa/55cc08a0d67bc60505bfe3ab4f8bc33c

            Usage:

            Source https://stackoverflow.com/questions/64416618

            QUESTION

            printing array from unified memory on cuda device doesn`t work
            Asked 2020-Oct-24 at 01:22

            I try to create some hashes on a cuda device and printing them on the host. But at the printf on the host i am getting a read error at position 0x000000000100002F

            The relevant lines look like this:

            ...

            ANSWER

            Answered 2020-Oct-24 at 01:22

            The memory allocation you are using to hold the hashes is incorrect. To have an array of pointers to the memory for each hash, you would require memory allocated both for the array of pointers, and for the hashes themselves, so something like:

            Source https://stackoverflow.com/questions/64508119

            QUESTION

            I have been using Node JS and NPM for several years with no issues. Suddenly I am receiving an error with any NPM command
            Asked 2020-Sep-09 at 17:59

            I am not sure at all what changed. There were a couple of app upgrades that I ran which might or might not have caused the issue. I believe this may be an issue with the path but I am really not sure. That is the reason I am posting here. Thanks for your help in advance.

            This is what I receive when I attempt to run any NPM command:

            ...

            ANSWER

            Answered 2020-Sep-09 at 17:59

            I was able to fix this problem First: I uninstalled Node JS from my machine (I am not sure this was needed but I did it)

            Second: I copied all of the directories from the (Node JS install)\node_modules\npm\node_modules directory to the c:\Users(user name)\AppData\Roaming\npm\node_modules\npm\node_modules directory

            Now it appears that all the npm stuff works. When I run the two commands to get the current versions it returns the correct information.

            D:>node -v

            v12.18.3

            D:>npm -v

            6.14.7

            I am not sure how things were confused but it appears that at some point in time over the last couple of years that the AppData location had stopped being updated. When I did an update the path was set back to the AppData and that data was very old. By copying over the node_modules for the new install to the AppData location it appears at this point that everything was updated.

            I hope this helps someone else in the future.

            Source https://stackoverflow.com/questions/63796829

            QUESTION

            Find duplicate images in fastest way
            Asked 2020-Jul-31 at 17:12

            I have 2 image folder containing 10k and 35k images. Each image is approximately the size of (2k,2k).
            I want to remove the images which are exact duplicates.
            The variation in different images are just a change in some pixels.
            I have tried DHashing, PHashing, AHashing but as they are lossy image hashing technique so they are giving the same hash for non-duplicate images too.
            I also tried writing a code in python, which will just subtract images and the combination in which the resultant array is not zero everywhere gives those image pair to be duplicate of each other. Buth the time for a single combination is 0.29 seconds and for total 350 million combinations is really huge.
            Is there a way to do it in a faster way without flagging non-duplicate images also. I am open to doing it in any language(C,C++), any approach(distributed computing, multithreading) which can solve my problem accurately.
            Apologies if I added some of the irrelevant approaches as I am not from computer science background.
            Below is the code I used for python approach -

            ...

            ANSWER

            Answered 2020-Jul-31 at 16:45

            You should find the answer on how to delete duplicate files (not only images). Then you can use, for example, fdupes or find some alternative SW: https://alternativeto.net/software/fdupes/

            Source https://stackoverflow.com/questions/63195790

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

            Vulnerabilities

            No vulnerabilities reported

            Install dhash

            You can install using 'pip install dhash' or download it from GitHub, PyPI.
            You can use dhash 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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            https://github.com/Jetsetter/dhash.git

          • CLI

            gh repo clone Jetsetter/dhash

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            git@github.com:Jetsetter/dhash.git

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