Regarding this:
Cropping a TIFF to a ShapeFile
I have an issue to fix regarding the code sahred at the link above. In the tiffs directory at the end, I can find only one cropped file, namely the last file in the directory? While instead I have 36 .tif files that have to be cropped.
This is the code:
crop_extent = gpd.read_file("path.shp")
extension = 'tif'
filenames = [i for i in glob.glob('path/*.
{}'.format(extension))]
tiffs = [rxr.open_rasterio(f) for f in filenames]
for tiff_name in filenames:
raster = rxr.open_rasterio(tiff_name)
assert crop_extent.crs == raster.rio.crs, "diffrent crs"
tiff_clipped =
raster.rio.clip(crop_extent.geometry.apply(mapping),
crop_extent.crs)
tiff_clipped.rio.to_raster(tiff_name + 'cropped.tif')
clipped_chm = rxr.open_rasterio(tiff_name +'cropped.tif')
Therefore, I would need an help to get the cropping over all the .tif files in the directory and not only last one.
Related
I have run StarGAN Code from github, this code generate all the generated images in one picture.
How I can save all the generated images separated to single folder? I do not want to save all the images in one picture.
this is how it generate the output (sample image
I want to save the generated images from the trained model, not as samples with all the images in one picture but just a file that contains all the generated images.
This is the part of the code i want to change it
# Translate fixed images for debugging.
if (i+1) % self.sample_step == 0:
with torch.no_grad():
x_fake_list = [x_fixed]
for c_fixed in c_fixed_list:
x_fake_list.append(self.G(x_fixed, c_fixed))
x_concat = torch.cat(x_fake_list, dim=3)
sample_path = os.path.join(self.sample_dir, '{}-images.jpg'.format(i+1))
save_image(self.denorm(x_concat.data.cpu()), sample_path, nrow=1, padding=0)
print('Saved real and fake images into {}...'.format(sample_path))
The generator self.G is called on each element of c_fixed_list to generate images. All results are concatenated, then saved using torchvision.utils.save_image.
I don't see what's holding you from saving the images inside the loop. Something that would resemble:
for j, c_fixed in enumerate(c_fixed_list):
x_fake = self.G(x_fixed, c_fixed)
for k in range(len(x_fake)):
sample_path = os.path.join(self.sample_dir, f'{i+1}-{k}-feat{j}-image.jpg')
save_image(self.denorm(x_fake.data[k].cpu()), sample_path, nrow=1, padding=0)
As shown in the picture "Before" below, each column separated by comma is not aligned neatedly. Is there any method to align each column vertically like the display effect in Excel?
The effect I wish is shown in the picture "After".
Thanks to #Martin S , I can align the file like the picture "Method_1". As he has mentioned, some characters still cannot align well. I was wondering if this method could be improved?
You can use the TextFX plugin:
TextFX > TextFX Edit > Line up multiple lines by ...
Note: This doesn't work if the file is read only.
http://tomaslind.net/2016/02/18/how-to-align-columns-in-notepad/
Update 2019: Download link from SourceForge
Maybe not exactly what you're looking for, but I recently added a CSV Lint plug-in to Notepad++ which also adds syntax highlighting for csv and fixed width data files, meaning each column gets a different color so it's easier to see.
You can use this python plugin script which utilizes the csv library which takes care of quoted csv and many other variants.
Setup:
Use the plugin manager in Notepad++ to install the "Python script" plugin.
Plugins->Python Script->New Script (name it something like CSVtoTable.py)
Paste the following python script into the new file and save:
CSVtoTable.py
import csv
inputlines = editor.getText().split('\n')
# Get rid of empty lines
inputlines = [line.strip() for line in inputlines if line.strip()]
reader = csv.reader(inputlines, delimiter=',')
csvlist = [line for line in reader]
# transpose to calculate the column widths and create a format string which left aligns each row
t_csvlist = zip(*csvlist)
col_widths = [max([len(x) for x in t_csvlist[y]]) for y in range(len(t_csvlist))]
# To right align - change < to >
fmt_str = ' '.join(['{{:<{0}}}'.format(x) for x in col_widths]) + '\r\n'
text = []
for line in csvlist:
text.append(fmt_str.format(*line))
# open a new document and put the results in there.
notepad.new()
editor.addText(''.join(text))
Open your CSV file in notepad++
Click on Plugins->Python Script->Scripts->(The name you used in step 2)
A new tab with the formatted data should open.
Update (right aligned numbers & left aligned strings):
Use the following python script if you want to right align number fields from the CSV - it looks at the second line of the csv to determine the types of the fields.
import csv
import re
num_re = re.compile('[-\+]?\d+(\.\d+)?')
inputlines = editor.getText().split('\n')
# Get rid of empty lines
inputlines = [line.strip() for line in inputlines if line.strip()]
reader = csv.reader(inputlines, delimiter=',')
csvlist = [line for line in reader]
# Transpose to calculate the column widths and create a format string which left aligns each row
t_csvlist = zip(*csvlist)
col_widths = [max([len(x) for x in t_csvlist[y]]) for y in range(len(t_csvlist))]
# Numbers get right aligned
type_eval_line = csvlist[1 if len(csvlist)>1 else 0]
alignment = ['>' if num_re.match(item) else '<' for item in type_eval_line]
# Compute the format string
fmt_str = ' '.join(['{{:{0}{1}}}'.format(a,x) for x,a in zip(col_widths,alignment)]) + '\r\n'
text = []
for line in csvlist:
text.append(fmt_str.format(*line))
# open a new document and put the results in there.
notepad.new()
editor.addText(''.join(text))
Notepad++ CSVLint
Install CSVLint Plugin
Open CSV file. Or manually set Language > CSVLint. This will give you nicely colored output.
To reformat do this:
Open lower pane: Plugins > CSV Lint > CSV Lint Window.
Click the Reformat button. Check the box Align vertically (not recommended). -- This may screw up your data, so think twice before clicking OK.
Reformatted output:
If you want to try this yourself: Here is my sample input:
TIMESTAMP_START,TIMESTAMP_END,TA_ERA,TA_ERA_NIGHT,TA_ERA_NIGHT_SD,TA_ERA_DAY,DA_ERA_DAY_SD,SW_IN_ERA,HH,DD,WW-YY,SW_IN_F,HH
19890101,19890107,3.436,1.509,2.165,6.134,2.889,100.233,283.946,1.373,99.852,2.748,1.188
19890108,19890114,3.814,2.446,2.014,5.728,2.526,91.708,286.451,1.575,100,100.841,0.742
You could use Search&Replace to change all occurrences of , to ,\t. This will add a tab after each ,.
This method has however some drawbacks:
you effectively add white-space characters to your document (in case you need to edit and save it).
This works well only if the difference (in terms of number of characters) between the longest and the shortest numbers is less than 1 tab-size (usually 4 characters).
I've installed tesseract on my linux environment.
It works when I execute something like
# tesseract myPic.jpg /output
But my pic has some little labels and tesseract didn't see them.
Is an option is available to set a pitch or something like that ?
Example of text labels:
With this pic, tesseract doesn't recognize any value...
But with this pic:
I have the following output:
J8
J7A-J7B P7 \
2
40 50 0 180 190
200
P1 P2 7
110 110
\ l
For example, in this case, the 90 (on top left) is not seen by tesseract...
I think it's just an option to define or somethink like that, no ?
Thx
In order to get accurate results from Tesseract (as well as any OCR engine) you will need to follow some guidelines as can be seen in my answer on this post:
Junk results when using Tesseract OCR and tess-two
Here is the gist of it:
Use a high resolution image (if needed) 300 DPI is minimum
Make sure there is no shadows or bends in the image
If there is any skew, you will need to fix the image in code prior to ocr
Use a dictionary to help get good results
Adjust the text size (12 pt font is ideal)
Binarize the image and use image processing algorithms to remove noise
It is also recommended to spend some time training the OCR engine to receive better results as seen in this link: Training Tesseract
I took the 2 images that you shared and ran some image processing on them using the LEADTOOLS SDK (disclaimer: I am an employee of this company) and was able to get better results than you were getting with the processed images, but since the original images aren't the greatest - it still was not 100%. Here is the code I used to try and fix the images:
//initialize the codecs class
using (RasterCodecs codecs = new RasterCodecs())
{
//load the file
using (RasterImage img = codecs.Load(filename))
{
//Run the image processing sequence starting by resizing the image
double newWidth = (img.Width / (double)img.XResolution) * 300;
double newHeight = (img.Height / (double)img.YResolution) * 300;
SizeCommand sizeCommand = new SizeCommand((int)newWidth, (int)newHeight, RasterSizeFlags.Resample);
sizeCommand.Run(img);
//binarize the image
AutoBinarizeCommand autoBinarize = new AutoBinarizeCommand();
autoBinarize.Run(img);
//change it to 1BPP
ColorResolutionCommand colorResolution = new ColorResolutionCommand();
colorResolution.BitsPerPixel = 1;
colorResolution.Run(img);
//save the image as PNG
codecs.Save(img, outputFile, RasterImageFormat.Png, 0);
}
}
Here are the output images from this process:
I have the following code in sikulix (version 2015-01-06)
...
t = wait("total_power.png")
area = Region(t.x+t.w, t.y, 80, 31)
with Region(area):
wait("num_1.png")
....
I find that "with Region" will create a png file in the same directory of the python file. And the png file is the region that I want.
How can I avoid it?
What is is it that you are trying to do here?
Is it that you would like to wait until a window appears, and then look inside that window for another picture to appear?
In that case you alreay have defined the region when you found "t".
"t" is the location of the picture "total_power.png"
For example:
# Wait until the window appears.
p1 = wait("image1.png")
# Find another picture inside the window.
p2 = p1.wait("image2.png")
Edit:
You should have a look here: Link
I think you could use the .right(), if you leave the () empty you take everything.
If fill in a a value you take a part of the screen.
I use .hightlight() when programming to show me what region I am looking at.
You can also use region1.union(region2) to merge 2 region to a new one.
An example:
Image1 = ("image1.png")
class Blue():
def __init__(self):
# Find an image.
LocImage1 = find(Image1)
# Too show the user the region we selected, we can highlight if for 5 seconds.
LocImage1.highlight(5)
# Grab the region to the right of this image.
LocImage1RightSide = LocImage1.right()
# Highlight the region again.
LocImage1RightSide.highlight(5)
# Run class
Blue()
I'm trying to write .tif image. I wrote the following command either on command window or within function file in Matlab to write tif image with the name of 'A_exam'.
All value of output image (A_exam.tif) are 255, no image displayed, just white screen. A matrix is extracted from following code. When I calculated this code, values of A matrix are correct. The problem just comes from writing an image file.
[~,Ind_max] = max(vgt,[],3);
A= arrayfun(#(y) ...
arrayfun(#(x) emp(x,y, Ind_max(x,y)), 1:size(vgt,1)), ...
1:size(vgt,2), 'UniformOutput',false);
A = reshape([A{:}], size(Ind_max))
imwrite(A,'A_exam.tif','tif')
Thank you
whos A
Name Size Bytes Class Attributes
A 41x41 6724 single
That reshape before calling imwrite looks problematic. I would change the
imwrite(A,'A_exam.tif','tif')
to add a call to mat2gray
imwrite(mat2gray(A),'A_exam.tif');
to make sure you're not mixing matrices and images.