weeddetect | weed detector write in python opencv | Computer Vision library

by llpassarelli Python Version: Current License: Apache-2.0

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

kandi X-RAY | weeddetect Summary

weeddetect is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV, Numpy applications. weeddetect has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However weeddetect build file is not available. You can download it from GitHub.

weed detector write in python + opencv.

Support

Quality

Security

License

Reuse

Support

weeddetect has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

weeddetect has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of weeddetect is current.

Quality

weeddetect has 0 bugs and 0 code smells.

Security

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

weeddetect code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

weeddetect 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

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

weeddetect has no build file. You will be need to create the build yourself to build the component from source.

It has 89 lines of code, 3 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Update trackbar
Create a filter from a mask

Get all kandi verified functions for this library.

weeddetect Key Features

No Key Features are available at this moment for weeddetect.

weeddetect Examples and Code Snippets

No Code Snippets are available at this moment for weeddetect.

Community Discussions

Trending Discussions on weeddetect

Google Cloud Platform Training Issue

QUESTION

Google Cloud Platform Training Issue

Asked 2017-Dec-18 at 05:06

System information

OS Platform and Distribution: Windows 10 64 Bit
TensorFlow installed from (source or binary): binary
TensorFlow version :1.4.0
Python version 3.5.2(v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55)
GPU:nVidia GeForce 755M 2GB CPU: Intel x64-64 Intel Core i5-4200M CPU @2.50Ghz, 8GB memory

Describe the problem I could train the model locally. The accuracy was decent but I wanted to try and use GCP to get similar results. I followed the google documentation mentioned here:

https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_cloud.md

https://medium.com/google-cloud/object-detection-tensorflow-and-google-cloud-platform-72e0a3f3bdd6

When I try to run the training session on the cloud using the following command:

...

ANSWER

Answered 2017-Dec-18 at 05:06

When you include custom options like --train-dir and --pipeline_config_path, you need to put them at the end of the command. You also need to separate the command's options and your options with --. Try this:

Source https://stackoverflow.com/questions/47862337

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

Vulnerabilities

No vulnerabilities reported

Install weeddetect

You can download it from GitHub.
You can use weeddetect like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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