psm | core memory & swap reporting

 by   bpowers Go Version: Current License: MIT

kandi X-RAY | psm Summary

kandi X-RAY | psm Summary

psm is a Go library. psm has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

psm makes it easy to see who is resident in memory, and who is significantly swapped out. psm is based off the ideas and implementation of [ps_mem.py] It requires root privileges to run. It is implemented in go, and since the executable is a binary it can be made setuid root so that unprivileged users can get a quick overview of the current memory situation.
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            kandi-support Support

              psm has a low active ecosystem.
              It has 100 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 198 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of psm is current.

            kandi-Quality Quality

              psm has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              psm 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

              psm releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed psm and discovered the below as its top functions. This is intended to give you an instant insight into psm implemented functionality, and help decide if they suit your requirements.
            • Main entry point .
            • ParseUint parses s into a uint64 .
            • procMem is used to process memory .
            • worker runs the CmdMemInfo channel .
            • procName returns the name of the process .
            • Parse the command line arguments
            • NewProf creates a new Prof instance
            • pidList returns a list of pid ids
            • splitSpaces returns a slice of spaces in b .
            • NewMapInfo returns a new MapInfo .
            Get all kandi verified functions for this library.

            psm Key Features

            No Key Features are available at this moment for psm.

            psm Examples and Code Snippets

            USAGE
            pypidot img1Lines of Code : 57dot img1no licencesLicense : No License
            copy iconCopy
            from PIL import Image
            import pytesseract
            # If you don't have tesseract executable in your PATH, include the following:
            pytesseract.pytesseract.tesseract_cmd = r''
            # Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract'
            # Simple im  

            Community Discussions

            QUESTION

            How to read text from only a portion of the image with pytesseract
            Asked 2022-Apr-11 at 00:16

            I'm trying to read the 213 from this image but i cant even get pytesseract to read everything Here is my best effort code:

            ...

            ANSWER

            Answered 2022-Apr-11 at 00:16

            Something like this works:

            Source https://stackoverflow.com/questions/71821318

            QUESTION

            How to setup Tesseract OCR properly
            Asked 2022-Mar-20 at 11:36

            I am using Tesseract OCR trying to convert a preprocessed license plate image into text, but I have not had much success with some images which look very much OK. The tesseract setup can be seen in the function definition. I am running this on Google Colab. The input image is ZG NIVEA 1 below. I am not sure if I am using something wrong or if there is a better way to do this - the result I get form this particular image is A.

            ...

            ANSWER

            Answered 2022-Mar-20 at 11:36

            by applying gaussian blur before OCR, I ended up with the correct output. Also, you may not need to use regex by adding -c tessedit_char_whitelist=ABC.. to your config string.

            The code that produces correct output for me:

            Source https://stackoverflow.com/questions/71516635

            QUESTION

            how to get text from handwriting image in python
            Asked 2022-Mar-13 at 19:21

            the image:

            the image is handwritten line of text this is extracting the text some what but not the expect same in the image

            and the code is

            ...

            ANSWER

            Answered 2022-Mar-13 at 19:21

            I have tried some image preprocessing techniques such as using dilation and manipulating the threshold. The image became crystal clear.

            However, the confidence score sometimes is as low as 51, which means that you cannot really rely on the output. It is something that is related to the training of the engine.

            Source https://stackoverflow.com/questions/70329826

            QUESTION

            Why the PSM results differ using Matching and Matchit in R
            Asked 2022-Feb-22 at 17:02

            I conducted prospensity score matching in R using the R-package "Matching" and "Matchit" respectively, but the number of matches were completely different.

            The dataset is here http://web.hku.hk/~bcowling/data/propensity.csv or http://web.hku.hk/~bcowling/examples/propensity.htm. example <- propensity

            The code using "Matching" was:

            m.ps <- glm(trt ~ age + risk + severity, family="binomial", data=example)

            example$ps <- predict(m.ps, type="response")

            PS.m <- Match(Y=example$death, Tr=example$trt, X=example$ps, M=1, caliper=0.2, replace=FALSE) summary(PS.m )

            ...

            ANSWER

            Answered 2022-Feb-22 at 17:02

            Two reasons: 1) Matching proceeds through the matches in the order of units in the dataset while MatchIt by default proceeds through matches based on descending order of the propensity score, and 2) Matching uses a nonzero distance tolerance by default, meaning that any two units with a propensity score difference of .00001 or less will be considered exactly matched, whereas MatchIt has no such tolerance.

            To ensure the results are the same between Matching and MatchIt, set m.order = "data" in matchit() and set distance.tolerance = 0 in Match().

            Source https://stackoverflow.com/questions/71211154

            QUESTION

            Python Tesseract OCR isn't properly detecting both numbers
            Asked 2022-Feb-17 at 16:31

            This is the image I'm using. This is the output that was returned with print(pytesseract.image_to_string(img)):

            ...

            ANSWER

            Answered 2022-Feb-17 at 16:31

            I guess you are missing the image processing part.

            From the documentation "Improving the quality of the output" you may be interested in Image Processing section.

            One way of reaching the desired numbers is inRange thresholding

            To apply in-range, we first need to convert the image in hsv colorspace. Since we want the image between the range of pixels.

            The result will be:

            Now if you read it with "digits" option:

            Source https://stackoverflow.com/questions/71097585

            QUESTION

            Pytesseract OCR doesn't recognize the digits
            Asked 2022-Feb-01 at 11:03

            I am trying to read these images:

            I have tried several options but I can't seem to read them correctly as 15/0, 30/0, 40/0.

            ...

            ANSWER

            Answered 2022-Feb-01 at 11:03

            One way of solving is using inRange thresholding

            The result will be:

            If you set page-segmentation-mode 6

            Source https://stackoverflow.com/questions/70934367

            QUESTION

            SQL mimicking analytic LEAD/LAG function with some restrictions
            Asked 2022-Jan-26 at 22:33

            There is a table named test, with one column named amount (number datatype). There is no PK for this table, and amounts can be repeated. The table's DDL is below: (created for testing purposes in Oracle 18c xe)

            ...

            ANSWER

            Answered 2022-Jan-26 at 21:18

            Ok so just throwing this out there as something you could do, using JSON functionality (support exists in most RDBMS)

            This is SQL server syntax:

            Source https://stackoverflow.com/questions/70870079

            QUESTION

            PSM in R with specific lines
            Asked 2022-Jan-16 at 17:14

            to get matched pairs due to PSM ("Matchit"-Package and Method = full) i need to specifiy my command for my longitudinal data frame. Every Case has several obeservations but i only need the first observation per patient to be included in the Matching. So the matching should be based on every patients' first observation but my later analysis should include the complete dataset of each patient with all observations.

            Has anyone an idea how to achieve this?

            I tried using a data subset (first observation per patient) but wasn't able to get the matching included in the data set (with all observations per patient) using "Match.data".

            Thanks in advance Simon (desperately writing his masters thesis)

            ...

            ANSWER

            Answered 2022-Jan-16 at 17:14

            My udnerstanding is that you want to create matches at just the first time point but have those matches be identified for each unit at all time points. Fortunatly, this is pretty straightforward: just perform the matching at the first time point and then merge the matched dataset with the full dataset. Here is how this might look. Let's say your original long dataset is d and has an ID column id and a time column time.

            Source https://stackoverflow.com/questions/70724488

            QUESTION

            Pytesseract Not Recognising Text
            Asked 2022-Jan-16 at 17:09

            I am trying to use Pytesseract to read the digits from the following image:

            Low Resolution Image

            Unfortunately, the program is not returning with any solution, even after using greyscale, thresholding, noise detection or canny edge detection. When using a config to whitelist only digits and $/, the program stops detecting even the high resolution image. (here)

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Jan-16 at 17:09

            You apply multiple simple thresholding consecutively, but you should also test it with other types of thresholding such as adaptive and inRange.

            For example, if you use inRange thresholding for the given example:

            The result for the high resolution image will be:

            The output for the 0.38 version:

            Source https://stackoverflow.com/questions/70560581

            QUESTION

            How can I maximise the reliability of tesseract ocr for text recognition as much as possible?
            Asked 2022-Jan-03 at 23:33

            I am attempting to collect data from a shop in a game ( starbase ) in order to feed the data to a website in order to be able to display them as a candle stick chart

            So far I have started using Tesseract OCR 5.0.0 and I have been running into issues as I cannot get the values reliably

            I have seen that the images can be pre-processed in order to increase the reliability but I have run into a bottleneck as I am not familiar enough with Tesseract and OpenCV in order to know what to do more

            Please note that since this is an in-game UI the images are going to be very constant as there is no colour variations / light changes / font size changes / ... I technically only need to get it to work once and that's it

            Here are the steps I have taken so far and the results :

            I have started by getting a screen of only the part of the UI I am interested in in order to remove as much clutter as possible

            I have then set a threshold as shown here ( I will also be using the cropping part when doing the automation but I am not there yet ), set the language to English and the psm argument to 6 witch gives me the following code :

            ...

            ANSWER

            Answered 2022-Jan-03 at 23:02

            Pytesseract, on its own, doesn't handle table detection very well - the table format isn't retained in the output, which can make it difficult to parse, as seen in your output.

            So splitting the table into distinct columns, performing OCR on each, and then rejoining the columns will help. This is slower, but it is more accurate.

            Dilation can help, which adds white pixels to existing white areas (using the threshold and image you currently have). This expands the narrow areas of the numbers.

            In my experience, to improve the accuracy generally means splitting the table up into different sections, as well as testing different thresholds and dilation settings.

            Source https://stackoverflow.com/questions/70570743

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

            Vulnerabilities

            No vulnerabilities reported

            Install psm

            If you’re familiar with go and have the go toolchain installed, installation is as easy as:.

            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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          • CLI

            gh repo clone bpowers/psm

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            git@github.com:bpowers/psm.git

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