NMS | the speed of nms - the comparison of nms in speed | Form library
kandi X-RAY | NMS Summary
kandi X-RAY | NMS Summary
the comparison of nms in speed. method 1: thresh=0.7, time wastes:0.0287 thresh=0.8, time wastes:0.1057 thresh=0.9, time wastes:0.4204. method 2: thresh=0.7, time wastes:0.0272 thresh=0.8, time wastes:0.1038 thresh=0.9, time wastes:0.4184. method 3: thresh=0.7, time wastes:0.0019 thresh=0.8, time wastes:0.0028 thresh=0.9, time wastes:0.0036. method 4: thresh=0.7, time wastes:0.0120 thresh=0.8, time wastes:0.0063 thresh=0.9, time wastes:0.0071.
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- Locate the CUDA module
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QUESTION
Link to original image https://ibb.co/0VC6vkX
I am currently working with an OCR Project. I pre-processed the image, and then applied pre-trained EAST model for text detection.
...ANSWER
Answered 2021-Jun-07 at 07:02Here's a possible solution that you can try improving on by trying a few things:
- by varying Gaussian parameters
- by thresholding the blurred image to see if it improves the result
Code:
QUESTION
I have a dataframe with a large amount of annual data. For example consider the following toy example like so:
...ANSWER
Answered 2021-Jun-03 at 18:49Here is a solution with dplyr and tidyr:
QUESTION
I have a JSON object like this:
...ANSWER
Answered 2021-Jun-02 at 07:46If you receive a string, the first thing to parse the JSON is JSON.parse (obj). Then you work as with a regular array using methods like forEach or map. Depending on what you need
QUESTION
I'm trying to get the "symbol" of a JSON HttpRequest in Java. I want to use GSON of google but, I can't reach any value ... I'm always with a null value in my object... I know that the error are "stock.symbol" I certainly need to put some "node" before ... I'm lost ... so ...
here the code :
...ANSWER
Answered 2021-May-22 at 10:13We need to get to the JSON inside the result array:
QUESTION
Using BASE R, I was wondering how to remove "tlist." from the start of the column names in: nms = data.frame(tlist.time_wk = 1:5, tlist.treats = 2:6, bb = 3:7)?
Desired output:
...ANSWER
Answered 2021-May-17 at 08:13I would use gsub to edit the names attribute. Not sure, though, if this counts as base R? Use '\\' in front of the dot to remove a literal dot
QUESTION
I'm following up on this answer. The output in that answer works great (see below):
...ANSWER
Answered 2021-May-17 at 05:25Here is the base R solution:
QUESTION
I have a 3D film image that has star-like figures in itself. I have a template whose shape is (21,21,1) that helps to find the initial point (rectangle) on the image. I have done the block matching part and be able to determine some matched coordinates which are sometimes correct and incorrect due to the different pixel intensity of the image. The image and template are all gray. The following are my codes, results, and the expected results. Any help (idea) to solve this problem will be acknowledged Codes for template matching
...ANSWER
Answered 2021-May-14 at 06:39I don't think this template matching will work out very well here. As you may notice in the input image there is a gradient from bottom left to top-right, The image is apprearing to fade in that direction. So on the top left side the features are not that pronounced for the template matching to work efficiently. I would recommend to first convert this image to a binary image using adaptiveThreshold technique as:
QUESTION
In shinywidgets::pickerInput you can pass a named list of data (here, nms) to pickerInput to create headings and choices from the list.
For example:
...ANSWER
Answered 2021-Apr-22 at 21:09I looked at the source code and modified awesomeCheckboxGroup and the underlying function generateAwesomeOptions to make it work. Now we can use named lists, which will create sub labels, and unnamed vectors, which will produce the normal checkboxes. We could still optimize the code a bit, and I am also not sure how the labels should look like. But basically you can give them a special class attribute and then use CSS to change the appearance of the labels.
QUESTION
I should preface this by saying I've been using AWS Glue Studio to learn how to use Glue with PySpark, and so far it's been going really well. That was until I encountered an error which I cannot understand (let alone solve). An example of the data can be found at the bottom.
ContextAll I was doing was a simple data transformation. Input S3 Bucket --> CustomTransform --> Output S3. But the program keeps crashing after exporting some of the data. I mention it later too, but I even tried removing the CustomTransformation, but the S3 data export still failed, even when just going from one Bucket to the other.
Here is the Python part of the error I'm getting (copied from CloudWatch):
...ANSWER
Answered 2021-Apr-12 at 07:52So if anyone is having this issue, it can be frustrating because this error seems to lend no information about what's actually going wrong. One of the only clues I had was this article. Which suggested there was something wrong with my schema.
I had to look at my data very closely and eventually noticed that I would only get this error when I ran it with certain files in combination with other files.
It turns out that some of my parquet files had the date in an int format and at other times it was a float. This data was being created from a Pandas DataFrame using .to_parquet() in a different function, so I'm not sure why there was an inconsistency in the data types.
What puzzled me most is why when I tried casting the date type to all be int (as seen here) I still got the error.
Anyway, my solution was to fix the way Pandas was outputting the data and make sure it always output the date as an Integer before Glue processed the data.
QUESTION
I've been studying darkflow from the following link;
https://github.com/thtrieu/darkflow
on Ubuntu 20.04
I thought there was a problem in my flow file, so I tried to rebuild the build file by the following code
ANSWER
Answered 2021-Apr-04 at 10:58You can try :
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You can use NMS 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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