cloudless | Deep learning pipeline for orbital satellite data | Machine Learning library
kandi X-RAY | cloudless Summary
kandi X-RAY | cloudless Summary
This project provides a classifier for detecting clouds in satellite remote sensing data using deep learning. Startups like Planet Labs have launched fleets of nanosats to image much of the earth daily; detecting clouds in these images to ignore or eliminate them is an important pre-processing step to doing interesting work with nanosat imagery. For example, if we are getting daily orbital photos of a location, we might want to detect changes over time, such as for automatically detecting deforestation, counting cars in parking lots, etc. Being able to first detect and eliminate clouds (which change often and could lead to false positives), is therefore important.
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Top functions reviewed by kandi - BETA
- Annotate training image
- Return a random image
- URL of the model
cloudless Key Features
cloudless Examples and Code Snippets
Community Discussions
Trending Discussions on cloudless
QUESTION
I am creating a home appliance to connect to google home. Can the device be cloudless using the local execution? The documentation and the example on GitHub suggest we need an oAuth server. Because the speaker is communicating directly with the appliance, is account linking even necessary? If an account is a must, how can we setup a local execution project that uses google sign for assistant? I am not seeing that option available.
...ANSWER
Answered 2020-Feb-12 at 15:44Local execution still requires a cloud service as a backend and the cloud service will be used as a fallback if the local execution is not working. As such, account linking is also requried.
QUESTION
I am following the book "C Primer Plus" and encounter such a snippet of code:
...ANSWER
Answered 2018-Oct-16 at 03:50You're only getting char once, BEFORE the while loop. The char pointer never increments, so it never reaches EOF.
Just out of curiosity, have you been working with other languages like Python where methods are easily assigned to variables? It's a bit trickier in C, you need to use pointers:
QUESTION
App Structure: My Main Activity is also acting as a Search Activity with a SearchView in the ActionBar. When I search in the ActionBar I handle it with onNewIntent in the Main Activity. When the intent is ACTION_SEARCH I replace the current fragment in MainActivity (possibly nothing or a previous search fragment) with a new search fragment which then creates an ASyncTask to fetch some data from an API which then creates another ASyncTask to get more details about the data and then populates a list view in the fragment.
Problem: after performing a search the SearchView field is empty and focused again.
Goal: I want the SearchView to not be focused and the SearchText to stay in case the user wants to change it.
What I have succeeded with is closing the action view (and removing focus) with MenuItemCompat.collapseActionView()
I've tried clearFocus() and setQuery() and several other methods I've found by googling but nothing seems to work. I've also tried using both in the onQueryTextSumbit function onQueryTextListener without success. I've looked at how other Apps like F-Droid and Simpletask Cloudless achieve it and most of them use filters on already existing data, whereas I am using ASyncTasks, which I think could be a source of the problem.
...ANSWER
Answered 2017-Mar-30 at 14:05So I found an alternative solution to what was proposed in the comments (Thank you regardless pskink). When my MainActivity received the SearchIntent it created a new search list Fragment (this was my mistake). I changed the search fragment creation to OnCreate in my MainActivity with a separate function to populate the already created fragment and now clearFocus() properly works in the onQueryTextSubmit function of my SearchView listener.
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Install cloudless
You can use cloudless 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.
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