As I used the YOLOv4 following the video tutorial, I could not get the chart.png which I believe should be because of the training has not even started.
Here is the link of my notebook.
https://colab.research.google.com/drive/1s-eKUoK-qRrVbV3gZid_B1cSgDxd4GmR?usp=sharing
I tried to find the place where I should upload the classes.txt file into google colab VM.
I believe without that file the trainer does not know what the first digit in image label txt files corresponds to.
Any help will be appreciated!
Related
This is the input I'm running: file = pd.DataFrame({'column': x_test, 'target': y_test}) my_file.to_csv('file.csv', index=False).
In G Colab, the file appears in the files folder in the left column and you can download it there. I'm trying to figure how to download it in Jupyter?
Once you are done with your code as you mention in your question.
Click on File.
Select Open.
It will open a new tab where you find three menu File, Running, Clusters.
The csv file that you made by the name of "file.csv" you can find in the File section.
I am doing my current project in RStudio Desktop. I am doing RMarkdown to later transfer. I am having some trouble getting an error of the system cannot find the file specified RMarkdown. At first, it says that the combined_databike was not found, but I literally did it in the same file already also you can see in the upper right all of the data frames which mention "combined_databike." This being said when I am trying to hit knit it gives me the error. Now the error says is at the tripdata_202006, which I cannot understand because I imported every file from tripdata_202006 to tripdata_202105 using the "import dataset."
I want to understand why is not working and how I bring a solution.
That's because the file you want to read is not in the folder where your project or in this case your rmarkdown file is.
As you can see in the file list of your console, in your directory you have 4 files, and you don't have the folder "Bike data" where the file 202006-divvy-tripdata.csv is located, according to the path that is in line 83 of your code.
Maybe to solve that, I think you have two options, the first one is to write the whole path to the folder location and then to the file. And the second option is to move the folder "Bike data" with the files you have in it, where your rmarkdown file is located.
I'm very new to coding in R and do not know what I am doing. I am trying to map some environmental variables but I cannot open this one file. This is the link to the files I want to open:
https://www.nodc.noaa.gov/archive/arc0107/0162565/2.2/data/0-data/mapped/
This link opens to a page with 2 folders in which I would like the GLODAPv2_Mapped_Climatology.tar.gz I do not know if I need to add this into the link when trying to open in R. I do not know what link is needed but this is the download link:
https://www.nodc.noaa.gov/archive/arc0107/0162565/2.2/data/0-data/mapped/GLODAPv2_Mapped_Climatology.tar.gz
I have tried downloading this folder and when I open in R it shows no data for the specific environmental variables in the mapped climatology variables, I think it is because the file is too large, so I saw coding where you use the link to open the folder in R.
So if someone could please help me in telling me how to open this folder into r and how to extract the files I specifically want for my maps, In this file I would like to access these 4 variables:
GLODAPv2.OmegaAinsitu
GLODAPv2.OmegaCinsitu
GLODAPv2.talk
GLODAPv2.tco2
I have tried everything to try and get the files into R but all the coding I try doesn't work. If someone knows how to get these files into R and produce them into maps I would be very grateful!
I want to load an image into a .rmd file.
I am working on a university project where I have to hand in this .rmd file at the end. As a restriction, this file has to run out of the box, so unfortunately it is not an option to load the image from a given file path as I can't submit a folder containing the image or similar (and I don't want to upload it somewhere and access it via URL either).
I was looking for a way to serialize the image information and hard code it into the file but I couldn't find anything helpful related to that.
So in short, I want to do the following:
serialize image
hard code serialized image as variable in .rmd
deserialize hard coded variable and plot image data in .rmd
Is there a simple way to do this?
This seems to be unfeasible. I've tried:
image <- load.image(path)
serialized_image <- serialize(image, NULL)
some_file <- file("test", "wb")
write(serialized_image, "test")
and then I wanted to open test and copy the content manually with CTRL+C, CTRL+V into a variable in my .rmd but it turned out that the content is way too large for doing that (around 30 million lines of bytes..), so theoretically this would be a solution but unless you want a 30 million lines .rmd, this is not an option.
The title of the question pretty much says it all. I’m using R in Google Colab and while analyzing some data I have generated an output data frame which I wish to export (either to Google Drive or to my local desktop). How can I achieve this?
You can save a .csv file in Colab root folder with a classic:
write.csv(your_df, file='output.csv')
You will find the file in the left sidebar, clicking on it will pop the option to download it.