coco | Jumpserver ssh/ws server | SSH Utils library

 by   jumpserver JavaScript Version: 1.5.2 License: GPL-3.0

kandi X-RAY | coco Summary

kandi X-RAY | coco Summary

coco is a JavaScript library typically used in Utilities, SSH Utils applications. coco has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Jumpserver terminal is a sub app of Jumpserver. It's implement a ssh server and a web terminal server,. User can connect them except jumpserver openssh server and pre version.

            kandi-support Support

              coco has a low active ecosystem.
              It has 142 star(s) with 124 fork(s). There are 11 watchers for this library.
              It had no major release in the last 12 months.
              There are 52 open issues and 42 have been closed. On average issues are closed in 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of coco is 1.5.2

            kandi-Quality Quality

              coco has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              coco is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              coco releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              coco saves you 5476 person hours of effort in developing the same functionality from scratch.
              It has 11475 lines of code, 451 functions and 91 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed coco and discovered the below as its top functions. This is intended to give you an instant insight into coco implemented functionality, and help decide if they suit your requirements.
            • Simulates a mouse event .
            • Finds sibling nodes for the specified direction .
            • compute the quadary value
            • Toggle UI elements
            • the kb class
            • Waiter for seconds
            • Toggle a style
            • Ki class
            • DOM event listener
            • Gets the guide .
            Get all kandi verified functions for this library.

            coco Key Features

            No Key Features are available at this moment for coco.

            coco Examples and Code Snippets

            Gets ground truth detection from instances .
            pythondot img1Lines of Code : 99dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _get_ground_truth_detections(instances_file,
              """Processes the annotations JSON file and returns ground truth data corresponding to allowlis  
            Loads the class names of the COCO object .
            pythondot img2Lines of Code : 22dot img2License : Permissive (MIT License)
            copy iconCopy
            def load_class_names(namesfile):
                # Create an empty list to hold the object classes
                class_names = []
                # Open the file containing the COCO object classes in read-only mode
                with open(namesfile, 'r') as fp:
                    # The  

            Community Discussions


            facing problems in installing tensorflow
            Asked 2022-Apr-16 at 07:55

            I am facing problem in instaling tensorflow, please help me. Here is the error that I get:



            Answered 2022-Apr-16 at 07:55


            Error Training Custom COCO Dataset with Detectron2
            Asked 2022-Mar-29 at 11:17

            I'm trying to train a custom COCO-format dataset with Detectron2 on PyTorch. My datasets are json files with the aforementioned COCO-format, with each item in the "annotations" section looking like this:

            The code for setting up Detectron2 and registering the training & validation datasets are as follows:



            Answered 2022-Mar-29 at 11:17

            It's difficult to give a concrete answer without looking at the full annotation file, but a KeyError exception is raised when trying to access a key that is not in a dictionary. From the error message you've posted, this key seems to be 'segmentation'.

            This is not in your code snippet, but before even getting into network training, have you done any exploration/inspections using the registered datasets? Doing some basic exploration or inspections would expose any problems with your dataset so you can fix them early in your development process (as opposed to letting the trainer catch them, in which case the error messages could get long and confounding).

            In any case, for your specific issue, you can take the registered training dataset and check if all annotations have the 'segmentation' field. A simple code snippet to do this below.



            How to upload an Image File modified by OpenCV using FileSystemStorage in Django?
            Asked 2022-Feb-13 at 16:57

            I am taking an uploaded image from the user and then sending it to a YOLO model which then returns me an image.

            I want to store that returned image in my Local Directory and then display it on the user interface.

            This is the Code of that takes in an image and sends it to the Yolo Model,



            Answered 2022-Feb-13 at 16:57

            You can use the imwrite function of cv2 library to store your files in the local directory, i.e.,

            In your case, simply do this,



            Detectron2 models not generating any results
            Asked 2022-Feb-03 at 18:03

            I am just trying out detectron2 with some basic code as follows



            Answered 2022-Feb-03 at 18:03

            I had the same issue, for me I had two issues to fix. The first was resizing shortest edge. I used the Detectron2 built function from and imported ResizeShortestEdge. The model values can be found with cfg.INPUT, which will list max/min sizes for test and train. The other issue was matching the color channels with cfg.



            How can i get person class and segmentation from MSCOCO dataset?
            Asked 2022-Jan-06 at 05:04

            I want to download only person class and binary segmentation from COCO dataset. How can I do it?



            Answered 2022-Jan-06 at 05:04


            Combining Object Detection with Text to Speech Code
            Asked 2021-Dec-28 at 16:46

            I am trying to write an object detection + text-to-speech code to detect objects and produce a voice output on the raspberry pi 4. However, as of right now, I am trying to write a simple python script that incorporates both elements into a single .py file and preferably as a function. I will then run this script on the raspberry pi. I want to give credit to Murtaza's Workshop "Object Detection OpenCV Python | Easy and Fast (2020)" and for the Text to speech documentation for pyttsx3. I have attached the code below. I have tried running the program and I always keep getting errors with the Text to speech code (commented lines 33-36 for reference). I believe it is some looping error but I just can't seem to get the program to run continuously. For instance, if I run the code without the TTS part, it works fine. Otherwise, it runs for perhaps 3-5 seconds and suddenly stops. I am a beginner but highly passionate in computer vision, and any help is appreciated!



            Answered 2021-Dec-28 at 16:46

            I installed pyttsx3 using the two commands in the terminal on the Raspberry Pi:

            1. sudo apt update && sudo apt install espeak ffmpeg libespeak1
            2. pip install pyttsx3

            I followed the video to install pyttsx3. My functional code should also be listed above. My question should be resolved but hopefully useful to anyone looking to write a similar program. I have made minor tweaks to my code.



            can't resume training with detectron2
            Asked 2021-Dec-06 at 16:19

            I am training a model on Faster R CNN architecture. For the first session I used the below config:



            Answered 2021-Dec-06 at 16:19

            There is no error actually.

            The problem is that your config specifies the maximum iteration as 16000.



            Tensorflow Datasets: Crop/Resize images per batch after dataset.batch()
            Asked 2021-Dec-02 at 08:56

            Is it possible to Crop/Resize images per batch ?

            I'm using Tensorflow dataset API as below:



            Answered 2021-Dec-01 at 14:51

            Generally, you can try something like this:



            Detectron2: No instances in prediction
            Asked 2021-Dec-01 at 12:07

            I'm trying to train Detectron2 on a custom dataset that I annotated with coco-annotator. After training I wanted to predict Instances of my Image, but I dont get any shown.




            Answered 2021-Dec-01 at 12:07

            I would try to lower the threshold, since you have said that overall training scores were not great.

            In this answer in official repo, following code is suggested to change the threshold:



            IPywidgets observe not working when wrapped inside a class
            Asked 2021-Nov-13 at 00:31

            I have created a small example, which shows the working and not working case. The working example,



            Answered 2021-Nov-12 at 20:39

            As with lots of widgets problems, printing and debugging is your friend.

            If you print(change) within one of your getvalue methods you will see the issue:

            The function is being called many times with just a single widget change. The last change is the one that persists.

            If instead your observe call specifies:

            self.a.observe(self.getvaluea, names='value')

            you should see the desired result:


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


            No vulnerabilities reported

            Install coco

            You can download it from GitHub.


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