OneNet | OneNet : End-to-End One-Stage Object Detection | Computer Vision library

 by   PeizeSun Python Version: Current License: MIT

kandi X-RAY | OneNet Summary

kandi X-RAY | OneNet Summary

OneNet is a Python library typically used in Artificial Intelligence, Computer Vision applications. OneNet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

OneNet: End-to-End One-Stage Object Detection
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              OneNet has a low active ecosystem.
              It has 524 star(s) with 55 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 13 have been closed. On average issues are closed in 7 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of OneNet is current.

            kandi-Quality Quality

              OneNet has no bugs reported.

            kandi-Security Security

              OneNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              OneNet 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

              OneNet releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OneNet and discovered the below as its top functions. This is intended to give you an instant insight into OneNet implemented functionality, and help decide if they suit your requirements.
            • Load an image from a JSON file .
            • Load COCO data from a JSON file .
            • Load a CrowdHuman JSON file .
            • Convert a file into a dictionary .
            • Generate an instance class .
            • Overlay instances .
            • Convert C2 C2 weights to their names .
            • Convert dataset dict to COCO format .
            • Collect environment information .
            • Compute the vocab .
            Get all kandi verified functions for this library.

            OneNet Key Features

            No Key Features are available at this moment for OneNet.

            OneNet Examples and Code Snippets

            No Code Snippets are available at this moment for OneNet.

            Community Discussions

            QUESTION

            Bitbake depends AAA packet, it will rdepends AAA-dev
            Asked 2019-Oct-18 at 09:50

            I add depends packet to a exist .bb file, such as add DPENDS="AAA" line to .bb file, when I compile the .bb file, it failed for XXX rdepends on AAA-dev [dev-deps], and I search google, all the answer almost is add line INSANE_SKIP_${PN} += "dev-deps" or RDEPENDS_${PN}_remove = "AAA-dev" to .bb file.

            But my question is why? why one packet depend AAA packet, it should also RDPENDS AAA-dev, is there any other answer to fix this problem

            The bb source file is:

            ...

            ANSWER

            Answered 2019-Oct-18 at 09:50

            The sanity check documentation explains this:

            dev-deps: Checks that all packages except -dev or -staticdev packages do not depend on -dev packages, which would be a packaging bug.

            It's telling you that in your current recipe "XXX" runtime-depends on "AAA-dev" and that this is a normally an error. You need to find out how/why this dependency is added before you can decide what the correct solution is.

            Based on the added recipes: The issue seems to be that onenet build produces an unversioned ".so" file. This is typically a mistake (the actual library file should be e.g. "libmqtt.so.1.1" and the unversioned file should just be a symlink to the versioned one). I'm very surprised that you are not getting a fatal error on this issue when you build onenet. Are you suppressing the QA error for this?

            Since you've managed to build onenet somehow, you now probably have a onenet-dev package that erroneously contains the actual library: The build system notices this during atfwd-daemon build, adds a runtime dependency to onenet-dev (because that's where the library is) and then the QA error triggers because normal packages should not depend on -dev packages.

            Possible fixes:

            • Either fix the onenet build system so it produces a versioned library, or
            • Force the .so file to be packaged into the actual onenet package instead of onenet-dev, like this:

            Source https://stackoverflow.com/questions/58443713

            QUESTION

            regex capture group which might not be present
            Asked 2017-Sep-08 at 09:40

            I'm running a regex through some log files. The capture groups should capture some relevant fields. I'd like to know if the logfile mentions a successful ending of the job or not. This can be concluded by the presence or absence of the string "Job executed successfully"

            My regex so far: ^Job started at\s'(\d+\s\d+:\d+:\d+:\d+)'\s+orderno\s+-\s+'(\w+)'\s+runno\s+-\s+'(\d+)'[\s\S]+Host1\s'([\w.]+)'\[([\w-]+)\] username '([\w\\]+)' - Host2\s'([\w.]+)'\[([\w-]+)\] username '([\w\\]+)'[\s\S]+(Job executed successfully)?[\s\S]+Job ended at\s'(\d+\s\d+:\d+:\d+:\d+)'\s+Elapsed time\s\[([\d.]+)sec\]\sCPU usage\s\[([\d.]+)sec]

            (I'm kind of new to regex, so it will not be perfect at all and needs some hardening)

            A sample log with successful ending: The regex above will only work when the question mark behind "(Job executed successfully)?" is removed which should not be necessary in my opinion.

            Job started at '0902 23:56:00:367' orderno - '0tzh0' runno - '00064' Number of transfers - 1

            Host1 'Local'[Windows-LOCAL] username 'xxx\xxx' - Host2 'xxx.xxx.xx'[Unix-SFTP] username 'xxx'

            Local host is: xxx - Windows 200x [601] Service Pack 1 build 7601 - Intel64 Family 6 Model 37 Stepping 1, GenuineIntel

            ********** Starting transfer #1 out of 1 *************** Transfer #1 completed successfully

            Job executed successfully. exiting.

            Job ended at '0902 23:56:07:138' Elapsed time [7sec] CPU usage [0.15sec]

            A sample log with unsuccessful ending: The regex above works like it should.

            Job started at '0831 15:26:00:365' orderno - '0tuq5' runno - '00030' Number of transfers - 4

            Host1 'Local'[Windows-LOCAL] username 'xxx\xxx' - Host2 'xxx.xxx.xx'[Unix-SFTP] username 'xxx'

            Local host is: xxx - Windows 200x [601] Service Pack 1 build 7601 - Intel64 Family 6 Model 37 Stepping 1, GenuineIntel

            ********** Starting transfer #1 out of 4 *************** Unable to connect to SSH server on 'xxx.xxx.xx': SFTP_Connect : psftp_connect failed : ssh_init: Network error: Connection timed out .

            Connection to host sftp.onenet.be could not be established

            Job ended at '0831 15:26:21:426'

            Elapsed time [21sec] CPU usage [0.0sec]

            ...

            ANSWER

            Answered 2017-Sep-08 at 09:23

            If you're using PCRE, you could use the fabulous \Q...\E sequence along with a neg. lookahead:

            Source https://stackoverflow.com/questions/46112817

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

            Vulnerabilities

            No vulnerabilities reported

            Install OneNet

            The codebases are built on top of Detectron2 and DETR.
            Linux or macOS with Python ≥ 3.6
            PyTorch ≥ 1.5 and torchvision that matches the PyTorch installation. You can install them together at pytorch.org to make sure of this
            OpenCV is optional and needed by demo and visualization
            Install and build libs
            Link coco dataset path to OneNet/datasets/coco
            Train OneNet
            Evaluate OneNet
            Visualize OneNet

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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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