HOG | Histogram Of Oriented Gradients | Machine Learning library

 by   preethampaul Python Version: Current License: Apache-2.0

kandi X-RAY | HOG Summary

kandi X-RAY | HOG Summary

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

HOG method is one of the famous techniques for object recognition and edge detection. This method has been proposed by N. Dalal and B. Triggs in their research paper - "Histograms of Oriented Gradients for Human Detection, CVPR, 2005". The method is quite simple to devise and has been first experimented for human detection (that is, pedestrians on roads). Soon, this technique took it's way to the detection of other objects. The method has the reputation of achieving upto 98 % accuracy for human detection. In a paper written by Robert Arroyo and Miguel Angel Sotelo (the paper can be found at ), it has been mentioned that use of HOG along with SVM classifier fetches an accuracy upto 93% for car logo recognition. The code is written in PYTHON and TENSORFLOW.
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            kandi-support Support

              HOG has a low active ecosystem.
              It has 28 star(s) with 15 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 819 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of HOG is current.

            kandi-Quality Quality

              HOG has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              HOG 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

              HOG releases are not available. You will need to build from source code and install.
              HOG has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              HOG saves you 176 person hours of effort in developing the same functionality from scratch.
              It has 436 lines of code, 25 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed HOG and discovered the below as its top functions. This is intended to give you an instant insight into HOG implemented functionality, and help decide if they suit your requirements.
            • Train the SVM
            • Classify X
            • Linear regression model
            • Create labels for the given count matrix
            • Creates hog files
            • Creates a hog
            • Apply the hog feature
            • Create gradient array for image
            • Train the given model
            • Create tensorflow variables
            • Compute the model
            • Simulate the hog
            • This function creates the paths for training data files
            • Create image data
            • Create a hog file
            Get all kandi verified functions for this library.

            HOG Key Features

            No Key Features are available at this moment for HOG.

            HOG Examples and Code Snippets

            No Code Snippets are available at this moment for HOG.

            Community Discussions

            QUESTION

            How to thread a generator
            Asked 2021-Jun-15 at 16:02

            I have a generator object, that loads quite big amount of data and hogs the I/O of the system. The data is too big to fit into memory all at once, hence the use of generator. And I have a consumer that all of the CPU to process the data yielded by generator. It does not consume much of other resources. Is it possible to interleave these tasks using threads?

            For example I'd guess it is possible to run the simplified code below in 11 seconds.

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:02

            Send your data to separate processes. I used concurrent.futures because I like the simple interface.

            This runs in about 11 seconds on my computer.

            Source https://stackoverflow.com/questions/67958976

            QUESTION

            Cant stop Docker/Vmmem from running
            Asked 2021-Jun-12 at 06:15

            not so long ago I started to practice with writing EOS smart contracts on my windows 10 computer. For this I needed to install among others, a Linux subsystem for Windows and Docker. In the last couple of days I noticed some pretty significant performance issues, when looking for the perpetrator in my task manager I came across Vmmem using up 1.8 GB of ram (which is quite a lot considering I have only 8GB on my laptop):

            I Googled around some and figured out that this program handles virtual machines and such, and with that Docker. I don't have Docker Desktop or Ubuntu opened at the time of this screenshot, turned off the setting "Start Docker when you log in" and restarted my computer, but still this program is hogging up my RAM. As you may understand, it isn't worth it for me to keep this running in the background considering this EOS Development is a side-thing for me, hence I don't need to use Docker often. I would deem it a shame if I had to give up on this 'hobby' for performance issues so any help would be appreciated.

            ...

            ANSWER

            Answered 2021-May-15 at 22:48

            As @Matze suggested, I made a .wslconfig file in my home directory restricting the memory usage, which solved the problem.

            Source https://stackoverflow.com/questions/67551523

            QUESTION

            Why did I get AttributeError?
            Asked 2021-Jun-11 at 02:42

            I tried to change a few lines from the original code however when I tried to run , I got error that say 'AttributeError: module 'PngImageFile' has no attribute 'shape'. However, I had no problem when running the original code. What should I do to remove this error in my modified code?

            Here is the original code :

            ...

            ANSWER

            Answered 2021-Jun-11 at 02:11

            I saw anna_phog on other portal.

            Problem is because this function needs numpy array but you read image with pillow Image.open() and you have to convert img to numpy array

            Source https://stackoverflow.com/questions/67930163

            QUESTION

            Running Python file from C# Windows Form
            Asked 2021-Jun-08 at 10:52

            So I tried the methods that were mentioned in the previously asked similar question but none of them works for my python file. I have been on it for two days and can't seem to find a solution how to run this file from C# form on button click.

            IronPython doesn't work because the python script has libraries that cannot be imported in Ironpython.

            Running it from cmd doesn't work because cmd starts and then gets closed in a second.

            Here's the code:

            ...

            ANSWER

            Answered 2021-Jun-08 at 10:52

            install your libraries in "C:\Program Files\Python39\python.exe" or any python environment

            and try this:

            Source https://stackoverflow.com/questions/67745760

            QUESTION

            Are recursive calls in my "permutations with repetition" code accumulated to clog the RAM?
            Asked 2021-Jun-04 at 16:41

            A bit of background:

            I am an amateur programmer, having picked up Haskell a few months ago, on my spare time, after a period of Mathematica programmning (my first language). I am currently going through my second Haskell book, by Will Kurt, but I still have miles to go to call myself comfortable around Haskell code. Codeabbey has been my platform for experimentation and learning so far.

            I have written a piece of code to generate permutations of a given number, that deals with possible duplicate numbers, so for 588 it will internally generate 588, 858 and 885.

            However, because I want to scale to pretty big input numbers (think perhaps even a hundred digits long), I don't want to output the whole list and then perform calculations on it, instead every number that is generated is checked on the spot for a certain property and if it has it, well, we have a winner, the number is returned as output and there's no need to go through the rest of the humongous list. If sadly no desired number is found and we unsuccessfully go through all possible permutations, it outputs a "0".

            I have also opted to make it a command line program to feed values to it via gnu parallel for faster work.

            So here is the code

            ...

            ANSWER

            Answered 2021-May-09 at 12:17

            So I am not 100% sure of this and I am also not 100% sure I understand your code. But as far as I understand you are generating permutations without duplicates and then you are checking for some predicate wanting whatever single number that fulfils it.

            I think it should help to use as many of the prelude functions as possible because afaik then the compiler understands it can optimize recursion into a loop. As a rule of thumb I was taught to avoid explicit recursion as much as possible and instead use prelude functions like map, filter and fold. Mainly you avoid reinventing the wheel this way but there also should be a higher chance of the compiler optimizing things.

            So to solve your problem try generating a list of all permutations, then filter it using filter and then just do take 1 if you want the result that is found first. Because of Haskell's lazy evaluation take 1 makes it so that we are interested only in the first x in (x:xs) that a filter would return. Therefore filter will keep dropping elements from the, again lazily evaluated, list of permutations and when it finds one it stops.

            I found a permutation implementation on https://rosettacode.org/wiki/Permutations#Haskell and used it to try this call:

            Source https://stackoverflow.com/questions/67455986

            QUESTION

            Adversarial input for this regex
            Asked 2021-May-29 at 21:39

            Someone asked me an interview question: write a function match(s, t) to decide if a string s is a generalized substring of another string t. More concretely, match should return True if and only if removing some characters in t can equalize it to s. For example, match("abc", "abbbc") is True, because we can remove the two extra bs in t.

            Surely the interviewer is expecting some kind of recursive solution, but I'm feeling adventurous and wrote

            ...

            ANSWER

            Answered 2021-May-29 at 02:16

            Lazy quantifiers are generally quite good for performance, but AFAIK they do not prevent the pathological emphasized behaviour.

            This is especially true when the beginning of the regexp match with the beginning of a text but the match is early and will fail at the end of the text requiring a lot of backtracks to "fix" the bad early lazy match of the beginning of the regexp.

            In your case, here is an example of pathological input requiring an exponential number of steps:

            Source https://stackoverflow.com/questions/67746914

            QUESTION

            Mixing horizontal and vertical ticks
            Asked 2021-May-28 at 09:48

            I have the example plot shown below. How can I make the first and third x-axis tick horizontal and the second and fourth tick vertical?

            ...

            ANSWER

            Answered 2021-May-28 at 09:48

            Not sure if there is an automate way of doing it, but you can do it "manually" for each tick:

            Source https://stackoverflow.com/questions/67731208

            QUESTION

            How to do a count the number of rows of string data containing above a certain amount of words
            Asked 2021-May-19 at 01:36

            I have a dataframe df that has a column containing text df['text'] (articles from a newspaper, in this case). How can I get a count of the rows in df['text'] that have a word count above some threshold of n words?

            An example of df is shown below. Each article can contain an arbitrary number of words.

            ...

            ANSWER

            Answered 2021-May-19 at 01:36

            Assuming that "words" are separated by spaces one approach would be to count the number of spaces between words and add 1. Then compare to the n value.

            Source https://stackoverflow.com/questions/67595546

            QUESTION

            Express server not exiting process and re-freeing port
            Asked 2021-May-18 at 18:25

            I have an express server in a node app. I need to be able to run this node app with the debugger. I also need to be able to stop and restart the server easily without binding up the port it runs on. I need to tap into the shutdown to do some cleanup, which I do like this:

            ...

            ANSWER

            Answered 2021-May-18 at 18:25

            To get the debugger to disconnect, you need to close the Chrome tab that has the debugger connection in it. That will allow the previous instance of your app to fully exit.

            Source https://stackoverflow.com/questions/67580129

            QUESTION

            reducing memory required for KeDei TFT library used with 3.5" TFT display with Arduino
            Asked 2021-May-05 at 20:16

            I need to reduce the memory required by the KeDei TFT library used with the Osoyoo 3.5" TFT touch screen display shield for Arduino Uno and ATmega 2560. When I try writing a simple Arduino application that uses the TFT display with the KeDei library, most of the available memory on the Arduino is taken up by the library itself.

            Unfortunately I have discovered that while an ATmega 2560 does have the necessary amount of memory, the KeDei TFT library does not provide correct touch coordinates when the TFT display is used with that device so the ATmega 2560 is not feasible unless Osoyoo customer support comes though with a solution.

            Investigating the library source code, I found in the file KeDei_font.cpp a bitmap font table being used to generate the characters displayed. This bitmap font table is an array, unsigned char font16_B[96][16] and appears to be the main memory hog. This array contains bitmap fonts for the ASCII characters from the space character, 0x20, to the tilde character, 0x7e.

            One thing that I have done is to reduce the number of characters by eliminating the lower case letters and transforming lower case letters to upper case. This results in a table const unsigned char font16_B[59][16] which is a bit more than half the size of the original table.

            With this approach I also eliminate a few other punctuation type characters but as long as I'm displaying only alphanumeric characters and spaces, this will work.

            ...

            ANSWER

            Answered 2021-May-05 at 20:16

            The first approach I looked into was to use some kind of compression on the bitmap font table such as run length encoding as so many entries were binary zero. I tested this approach and it did reduce the amount of memory while adding a bit of complexity. However the amount of memory saved was around 200 bytes with the simple approach I tested.

            The second approach I looked at was reducing the size of the array by first eliminating the lower case letters and then by changing the bitmap font as well. Changing the bitmap font from a 16x16 size font to an 8x8 size font makes a significant difference in memory usage.

            However changing the size of the table from const unsigned char font16_B[96][16] to const unsigned char font16_B[96][8] means that the characters displayed on the TFT screen will be smaller.

            So there is a tradeoff between the amount of memory used and the character display size. Larger displayed characters requires more memory for the description of the glyphs.

            A quick search for "8 bitmap font" finds this GitHub repository of Daniel Hepper, https://github.com/dhepper/font8x8, with an 8x8 size font and the license is Public Domain.

            Using Preprocessor directives to select the font table to use and selecting a subsection of the file font8x8_basic.h from Hepper's GitHub repository, I added the following to the KeDei TFT library.

            Source https://stackoverflow.com/questions/67259938

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

            Vulnerabilities

            No vulnerabilities reported

            Install HOG

            The HOG descriptor's code uploaded here, is for classification of car logos. Hog descriptor uses edge detection by gradient calculation and histograms of gradients, with magnitudes as weights. The code uses [-1 0 -1] kernel for gradient magnitude and orientation calculation. Gradients are calculated in the range [0,180]. Histograms of 8 bins are calculated with magnitudes as weights. Each image is checked if its of 32X32 size, else its resized. The code reads images in greyscale. The images are normalised for gamma, and then, for normal contrast. Each 32X32 image pixel matrix, is organised into 8X8 cells and then, histograms are calculated for each cell. Then, a 4X4 matrix with 8 bins in each cell is obtained. This matrix is organised as 2X2 blocks(with 50% overlap) and normalised, by dividing with the magnitude of histogram bins' vector. A total of 9 blocks X 4 cells X 8 bins = 288 features Then, these features are extracted for each image and trained with an SVM. The accuracy obtained for the dataset uploaded in the logos.zip folder, containing about 60 images for each of 14 brand logos, is 88%.

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            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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