simpledet | Versatile Framework for Object Detection | Computer Vision library

by TuSimple Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | simpledet Summary

simpledet is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Tensorflow applications. simpledet has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However simpledet build file is not available. You can download it from GitHub.

A Simple and Versatile Framework for Object Detection and Instance Recognition

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Quality

Security

License

Reuse

Support

simpledet has a medium active ecosystem.

It has 2892 star(s) with 486 fork(s). There are 118 watchers for this library.

It had no major release in the last 6 months.

There are 41 open issues and 210 have been closed. On average issues are closed in 24 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of simpledet is current.

Quality

simpledet has 0 bugs and 0 code smells.

Security

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

simpledet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

simpledet 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.

Reuse

simpledet releases are not available. You will need to build from source code and install.

simpledet 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.

simpledet saves you 21060 person hours of effort in developing the same functionality from scratch.

It has 42177 lines of code, 1235 functions and 223 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed simpledet and discovered the below as its top functions. This is intended to give you an instant insight into simpledet implemented functionality, and help decide if they suit your requirements.

Get config for training
Train the network .
Fits this model using the given evaluator .
Gets the fpn feature .
Gets the neck for the data .
Get the fpn feature .
Performs regression on the pois .
Sample the proposals .
Attaches a quantized node to a given symbol .
Main entry point for testing

Get all kandi verified functions for this library.

simpledet Key Features

No Key Features are available at this moment for simpledet.

simpledet Examples and Code Snippets

No Code Snippets are available at this moment for simpledet.

Community Discussions

Trending Discussions on simpledet

RUN conda activate not works. It always shows "restart your shell after running 'conda init' " , Dockerfile

QUESTION

RUN conda activate not works. It always shows "restart your shell after running 'conda init' " , Dockerfile

Asked 2020-Mar-10 at 04:03

I'm going to build a cuda & anaconda docker file, but after trying many times, it always warning me the error.

The log of azure pipelines.

and my Dockerfile:

...

ANSWER

Answered 2020-Mar-10 at 04:03

Interactive bash

The conda activate command is a bash function and only gets loaded in interactive sessions. The DOCKERFILE already does the equivalent of conda init, i.e., adding conda.sh to the .bashrc. However, the current SHELL /bin/bash -c does not load .bashrc - usually need a -i or -l flag for that.

Conda activate isn't necessary

But that's all beside the point because there is no reason to have to activate the env given the current code. Instead, install all the dependencies from the start (recommended):

Source https://stackoverflow.com/questions/60597417

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

Vulnerabilities

No vulnerabilities reported

Install simpledet

We provide a setup script for install simpledet and preppare the coco dataset. If you use this script, you can skip to the Quick Start. We provide a conda installation here for Debian/Ubuntu system. To use a pre-built docker or singularity images, please refer to INSTALL.md for more information. If the last line execute successfully, the average running speed of Faster R-CNN R-50 FPN will be reported. And you have successfuly setup SimpleDet. Now you can head up to the next section to prepare your dataset.

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 .

Find more information at: