kandi X-RAY | Buoy Summary
kandi X-RAY | Buoy Summary
The built-in Android battery saver mode is actually quite powerful. The only disappointment is that none of it is configurable out of the box. That's where Buoy comes in. Buoy makes using the built-in battery saver feasible in any situation. If you want mild savings during the day without impeding performance, it can be done. If you need to squeeze every last ounce of power out of your device, it can be done. If you want anything in between, it can be done!.
Top functions reviewed by kandi - BETA
Buoy Key Features
Buoy Examples and Code Snippets
Trending Discussions on Buoy
I have some data gathered from a weather buoy:...
ANSWERAnswered 2020-Dec-01 at 05:15
You could create a new column with year and month information and take
mean of multiple columns using
I have written a shiny app that reads data from
https://green2.kingcounty.gov/lake-buoy/DataScrape.aspx that was working for a few months, but about a month or so ago it stopped working in shinyapps.io.
I found a recent post here that suggested the issue was due to a recently expired SSL certificate. The site
green2.kingcounty.gov does have a certificate that expired on May 30, 2020
ANSWERAnswered 2020-Aug-07 at 05:11
A little eery that I made it to this page searching for a solution to the same problem, also while trying to scrape King County info. I'll keep hunting and will post back if I find something useful.
I want to be able to handle something like a table in C++. I mean table as in "excel spreadsheet" or "R dataFrame". My solution need not be that powerful, however. I do not need to add columns at runtime, but I will be adding rows to create averages. I am building this table from individual data points, and this table will be read elsewhere in the program for analysis of data. I feel like solutions such as SQLite are overkill. How can I simply represent this kind of data?
To more easily discuss options, consider the following table of ocean temperatures, which we will call
ANSWERAnswered 2020-Jul-23 at 21:06
The option of
std::vector looks pretty good. You don't need to prevent data from modifying, just use
const after creation.
If you need fast access to rows by location, temperature, etc. you may create specific indices based on
map or more complex data structures.
For example, you may create
std::multimap where the key is a temperature and the value is a number of row in the table (index in vector). Then, you can use std::lower_bound and std::upper_bound to retrieve all indices of rows with a temperature in a given range.
I am comparing models for the detection of objects for maritime Search and Rescue (SAR) purposes. From the models that I used, I got the best results for the improved version of YOLOv3 for small object detection and for FASTER RCNN.
For YOLOv3 I got the best mAP@50, but for FASTER RCNN I got better all other metrics (precision, recall, F1 score). Now I am wondering how to read it and which model is really better in this case?
I would like to add that there are only two classes in the dataset: small and large objects. We chose this solution because the objects' distinction between classes is not as important to us as the detection of any human origin object.
However, small objects don't mean small GT bounding boxes. These are objects that actually have a small area - less than 2 square meters (e.g. people, buoys). Large objects are objects with a larger area (boats, ships, canoes, etc.).
Here are the results per category:
ANSWERAnswered 2020-Jul-19 at 18:53
The mAP for object detection is the average of the AP calculated for all the classes. mAP@0.5 means that it is the mAP calculated at IOU threshold 0.5.
The general definition for the Average Precision(AP) is finding the area under the precision-recall curve.
The process of plotting the model's precision and recall as a function of the model’s confidence threshold is the precision recall curve.
Precision measures how accurate is your predictions. i.e. the percentage of your predictions that are correct. Recall measures how good you find all the positives. F1 score is HM (Harmonic Mean) of precision and recall.
To answer your questions now.
How to read it and which model is really better in this case?
- The mAP is a good measure of the sensitivity of the neural network. So good mAP indicates a model that's stable and consistent across difference confidence thresholds. In your case faster rcnn results indicate that precision-recall curve metric is bad compared to that of Yolov3, which means that either faster rcnn has very bad recall at higher confidence thresholds or very bad precision at lower confidence threshold compared to that of Yolov3 (especially for small objects).
- Precision, Recall and F1 score are computed for given confidence threshold. I'm assuming you're running the model with default confidence threshold (could be 0.25). So higher Precision, Recall and F1 score of faster rcnn indicate that at that confidence threshold it's better in terms of all the 3 metric compared to that of Yolov3.
What metric should be more important?
In general to analyse better performing model, I would suggest you to use validation set (data set that is used to tune hyper-parameters) and test set (data set that is used to assess the performance of a fully-trained model).
Note: FP - False Positive FN - False Negative
On validation set:
Use mAP to select best performing model (model that is more stable and consistent) out of all the trained weights across iterations/epochs. Use mAP to understand whether model should be trained/tuned further or not.
Check class level AP values to ensure model is stable and good across the classes.
As per use-case/application, if you're completely tolerant to FNs and highly intolerant to FPs then to train/tune the model accordingly use Precision.
As per use-case/application, if you're completely tolerant to FPs and highly intolerant to FNs then to train/tune the model accordingly use Recall.
On test set:
If you're neutral towards FPs and FNs, then use F1 score to evaluate best performing model.
If FPs are not acceptable to you (without caring much about FNs) pick the model with higher Precision
If FNs are not acceptable to you (without caring much about FPs) pick the model with higher Recall
Once you decide metric you should be using, try out multiple confidence thresholds (say for example - 0.25, 0.35 and 0.5) for given model to understand for which confidence threshold value the metric you selected works in your favour and also to understand acceptable trade off ranges (say you want Precision of at least 80% and some decent Recall). Once confidence threshold is decided, you use it across different models to find out best performing model.
Call Games.getBuoyClient(activity).showFloatWindow(); to display the buoy, but the buoy is not displayed.
Has been initialized, the initialization code is...
ANSWERAnswered 2020-Jun-23 at 08:36
The BuoyClient.showFloatWindow interface needs to be called in the onResume of all game interface Activity to display the buoy. Click to view more: https://developer.huawei.com/consumer/en/doc/development/HMS-Guides/game-buoy-v4#h1-1576589973315
It's not entirely clear from the documentation, but I can see that
BertTokenizer is initialised with
pad_token='[PAD]', so I assume when you encode with
add_special_tokens=True then it would automatically pad it. Given that
pad_token_id=0, I can't see any
0s in the
ANSWERAnswered 2020-Apr-27 at 04:50
No it would not. There is a different parameter pad_to_max_length which you have to set to True to add padding tokens.
add_special_tokens will add the [CLS] and the [SEP] token (101 and 102 respectively).
so, I am trying to add a random element to my site with Font Awesome icons that change on reload. I found a helpful post, here, but I can't find a way to make the code work. I am getting the console log, but no icon is displayed. I've tried assigning my an id and having the Jquery add a random class to that, but that doesn't seem to work. Any ideas?...
ANSWERAnswered 2020-Mar-06 at 21:49
Your error description is not very precise, but I assume that the problem is that you are not adding the class (string), but its index.
I have a webpage layout that has a
main section, plus a collapsing
sidebar. I am optimizing this for mobile viewing but I am having trouble separating the
main section and
navbar. It appears that the
navbar is currently positioned so that it overlaps the
Why are the 2 sections overlapping?
ANSWERAnswered 2020-Feb-05 at 20:52
Because the nav has a
fixed position, while the main has a
Quoting from W3schools: "A fixed element does not leave a gap in the page where it would normally have been located."
To overcome this, you might need to give a
top-margin for the main section by the same value of the nav height.
I am trying to set up a series of checkboxes so multiple Overlays can be toggled on/off individually in a menu. I'm just trying to get one layer working before I move on to developing the rest of them. I am, unfortunately, getting an error when using Dev Tools that states
Uncaught ReferenceError: toggleLayers is not defined at HTMLInputElement.onclick
I think I have the function defined but keep getting this error....
ANSWERAnswered 2020-Jan-24 at 20:03
You should load the google maps script before your script.
google.maps.Map is a function constructor and you instantiate using the
new keyword, it must be defined before you can use it. And you should also move your script at the bottom or use
I have a table of buttons functioning as my navigation bar, and it's centered to my page.
I want to put my logo either directly on the left of the table, or float all the way to the left of the page. However, the logo's presence affects my navigation bar to where my navigation bar is no longer centered.
Is there any way I can have multiple alignments in one line? Have my logo left-aligned, and my navigation bar centered to the page?
I'm fairly new at code so I'd appreciate any other tips and suggestions as well....
ANSWERAnswered 2019-Dec-24 at 01:36
You can try to use
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