My problem is that I have bunch of jpgs and I would like to overlay all of them to see a pattern.
I checked out this answer(Overlay two same sized images in Python) but it only shows how two images can be overlayed.
Here are the piece of code which shows I'd like to do.
for file in os.listdir(SAVE_DIR):
img1 = cv2.imread(file)
img2 = cv2.imread('next file name') #provide previous output file here (dst)
dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
cv2.imshow('dst',dst)
cv2.waitKey(0)
cv2.destroyAllWindows()
One approach is to store all your images as a list, and then iterate through each overlapping pair of images and callcv2.addWeighted() on each element in your list, passing in the last aggregate image in as img1 to your subsequent call to cv2.addWeighted().
So for example, say you have 4 images, with names [img1, img2, img3, img4].
You could do
jpeg_list = os.listdir(SAVE_DIR)
for i in range(len(jpeg_list)):
aggregate_file = cv2.imread(jpeg_list[i])
next_img = cv2.imread(jpeg_list[i+1])
dst = cv2.addWeighted(aggregate_file, 0.5, next_img, 0.5, 0)
cv2.imshow('dst', dst)
Related
How to extend torch.datasets.ImageFolder in pytorch to return a tensor of a different shape?
It currently returns: torch.Size([1, 3, 256, 256]). I want to return [1, 10, 3, 256, 256].
I have a directory with multiple images separated into folders. Each folder has up to 3000 images. I would like to modify the getitem function so that it returns bags of images, where each bag contains 10 images.
Thank you!
A possible option may be to split your dataset into files of 10 images per file and then in your __getitem__(self,idx) method you can iterate 10 images at a time using the file that corresponds to idx, concatenate them and return that concatenated tensor. so for example (and make your own adjustments based on your init, etc..) Given a directory with this form:
- all_images
- images_0
- im_0
- im_1
- ...
- im_9
- images_1
- ...
- ...
- images_n
then
def __init__(self,file="all_images"):
self.images_file = file
def __getitem__(self,idx):
ret_tensor = torch.tensor([])
images = [image for image in os.listdir(f"{self.images_file}/images_{idx}")]
for image in images:
ret_tensor = torch.cat((ret_tensor,torch.load(image)),1)
return ret_tensor
Using the built-in "Import Data..." functionality we can import a properly formatted text file (like CSV and/or tab-delimited) as an image. It is rather straight forward to write a script to do so. However, my scripting approach is not efficient - which requires me to loop through each raw (use the "StreamReadTextLine" function) so it takes a while to get a 512x512 image imported.
Is there a better way or an "undocumented" script function that I can tap in?
DigitalMicrograph offers an import functionality via the File/Import Data... menu entry, which will give you this dialog:
The functionality evoked by this dialog can also be accessed by script commands, with the command
BasicImage ImageImportTextData( String img_name, ScriptObject stream, Number data_type_enum, ScriptObject img_size, Boolean lines_are_rows, Boolean size_by_counting )
As with the dialog, one has to pre-specify a few things.
The data type of the image.
This is a number. You can find out which number belongs to which image data type by, f.e., creating an image outputting its data type:
image img := Realimage( "", 4, 100 )
Result("\n" + img.ImageGetDataType() )
The file stream object
This object describes where the data is stored. The F1 help-documention explains how one creates a file-stream from an existing file, but essentially you need to specify a path to the file, then open the file for reading (which gives you a handle), and then using the fileHandle to create the stream object.
string path = "C:\\test.txt"
number fRef = OpenFileForReading( path )
object fStream = NewStreamFromFileReference( fRef, 1 )
The image size object
This is a specific script object you need to allocate. It wraps image size information. In case of auto-detecting the size from the text, you don't need to specify the actual size, but you still need the object.
object imgSizeObj = Alloc("ImageData_ImageDataSize")
imgSizeObj.SetNumDimensions(2) // Not needed for counting!
imgSizeObj.SetDimensionSize(0,10) // Not used for counting
imgSizeObj.SetDimensionSize(1,10) // Not used for counting
Boolean checks
Like with the checkboxes in the UI, you spefic two conditions:
Lines are Rows
Get Size By Counting
Note, that the "counting" flag is only used if "Lines are Rows" is also true. Same as with the dialog.
The following script improrts a text file with couting:
image ImportTextByCounting( string path, number DataType )
{
number fRef = OpenFileForReading( path )
object fStream = NewStreamFromFileReference( fRef, 1 )
number bLinesAreRows = 1
number bSizeByCount = 1
bSizeByCount *= bLinesAreRows // Only valid together!
object imgSizeObj = Alloc("ImageData_ImageDataSize")
image img := ImageImportTextData( "Imag Name ", fStream, DataType, imgSizeObj, bLinesAreRows, bSizeByCount )
return img
}
string path = "C:\\test.txt"
number kREAL4_DATA = 2
image img := ImportTextByCounting( path, kREAL4_DATA )
img.ShowImage()
I've tried using the bokeh image_rgba method but found it to be very slow, I'm just displaying a 1000*500 px image and the html takes ~5 seconds to load (nothing is web based here, I have everything running/stored locally)
Again the code itself runs fast, itùs just displaying the image thqt is slow. I've been trying exqmples from the bokeh gallery and the speed is fine.
I'm thus wondering if there is anything I could do for the html to load faster? Is image_rgba the best way to go to display an image with bokeh?
This is the code I use:
pic = PIL.Image.open('/Users/blabla/eiffelTower.jpg')
self.imgArray = np.array(pic)
N1 = imgArray.shape[0]
N2 = imgArray.shape[1]
img = np.zeros((N1,prolongatedN2), dtype=np.uint32)
view = img.view(dtype=np.uint8).reshape((N1, N2, 4))
view[:N1,:N2,0] = self.imgArray[range(N1-1,-1,-1),:N2,0]
view[:N1,:N2,1] = self.imgArray[range(N1-1,-1,-1),:N2,1]
view[:N1,:N2,2] = self.imgArray[range(N1-1,-1,-1),:N2,2]
fig = bokeh.plotting.figure(plot_width = plot_width, plot_height=plot_height)
fig.image_rgba(image=[img], x=[0], y=[0],
dw=[plot_width], dh=[plot_height])
script, div = bokeh.embed.components(p.fig, INLINE)
output_file('testBokeh.html')
show(fig)
Again I'm quite surprised that displaying a locally stored 1000*500 pixels would be so slow.
FWIW, I do this, and it's very fast.
from __future__ import division
import numpy as np
from PIL import Image
from bokeh.plotting import figure, show, output_file
# Open image, and make sure it's RGB*A*
lena_img = Image.open('Lenna_rect.png').convert('RGBA')
xdim, ydim = lena_img.size
print("Dimensions: ({xdim}, {ydim})".format(**locals()))
# Create an array representation for the image `img`, and an 8-bit "4
# layer/RGBA" version of it `view`.
img = np.empty((ydim, xdim), dtype=np.uint32)
view = img.view(dtype=np.uint8).reshape((ydim, xdim, 4))
# Copy the RGBA image into view, flipping it so it comes right-side up
# with a lower-left origin
view[:,:,:] = np.flipud(np.asarray(lena_img))
# Display the 32-bit RGBA image
dim = max(xdim, ydim)
fig = figure(title="Lena",
x_range=(0,dim), y_range=(0,dim),
# Specifying xdim/ydim isn't quire right :-(
# width=xdim, height=ydim,
)
fig.image_rgba(image=[img], x=0, y=0, dw=xdim, dh=ydim)
output_file("lena.html", title="image example")
show(fig) # open a browser
I want to compare time series data in just one graphic. I added several data sets to same plot and plot it - just one data set is shown. Documentation missing, existing questions useless..
Question: Why is just one data set represented? And also, why is its' title not used to create a legend?
My code (sniped):
//first, create terminal to write png files (not shown)
..
//create the three data sets (just shown for first data set here)
double[][] original = combinedSequence.getOriginalValues();
AbstractPlot originalPlot = new DataSetPlot(original);
originalPlot.setTitle("'original'");
..
//add the three data set plots
p.addPlot(originalPlot);
p.addPlot(offsetPlot);
p.addPlot(functionPlot);
//plot graph
p.newGraph();
p.plot();
Two things:
newGraph() should be set before any subplot
titles should not have '
So, a correct version of your code will be:
double[][] original1 = {{2,3},{4,5},{6,7}};
double[][] original2 = {{8,9},{12,13},{14,15}};
AbstractPlot originalPlot = new DataSetPlot(original1);
originalPlot.setTitle("original1");
AbstractPlot originalPlot2 = new DataSetPlot(original2);
originalPlot2.setTitle("original2");
JavaPlot p = new JavaPlot();
p.addPlot(originalPlot);
p.newGraph();
p.addPlot(originalPlot2);
p.plot();
I have a chart with a DateTime axis as my horizontal and a Linear Axis for my vertical inside a Adobe Flex Line Chart. I want to use a Cartesian Data Canvas as a background element and draw custom set of background graphics mostly rectangles. When I have more than a single data point, the graphics work perfectly since they are supposed to span the width of the entire chart.
When I have only a single data point, however, I can't seem to get the rectangles to draw. Since I want my rectangles to span the entire width of the chart, I was thinking that I could get the x-coordinates from my axis, but this isn't working.
var canvasWidth:Number = chtCanvas.width;
var canvasHeight:Number = chtCanvas.height;
var minPt:Array;
var maxPt:Array;
var minPtDate:Date;
var maxPtDate:Date;
var minPtComplete:Point;
var maxPtComplete:Point;
// This works fine when there is more than 1 data point
minPt = chtCanvas.localToData(new Point(0, 0));
maxPt = chtCanvas.localToData(new Point(canvasWidth,canvasHeight));
//This does return a date object, but wont draw below
minPtDate = axisDate.minimum;
maxPtDate = axisDate.maximum;
//This returns NaN for the x
minPtComplete = chtCanvas.dataToLocal(minPtDate, axisSalary.minimum);
maxPtComplete = chtCanvas.dataToLocal(maxPtDate, axisSalary.maximum);
// Also tried this. Also returns NaN for the x value
//minPtComplete = chtCanvas.dataToLocal(axisDate.minimum, axisSalary.minumum);
//maxPtComplete = chtCanvas.dataToLocal(axisDate.maximum, axisSalary.maximum);
My actual drawing method is as follows:
// Tried this, works with points >2, does not draw with single data point
chtCanvas.drawRect(minPt[0], detail[i].MaxValue, maxPt[0], detail[i].MinValue);
//tried this, no effect with single point
//chtCanvas.drawRect(minPtDate, detail[i].MaxValue, maxPtDate, detail[i].MinValue);
// Tried this, no effect with single point
//chtCanvas.drawRect(minPtDate, minPt[1], maxPtDate, detail[i].MinValue);
// Tried this also
//chtCanvas.drawRect(minPtComplete.x, detail[i].MaxValue, maxPtComplete.x, detail[i].MinValue);
In this example, detail is an array collection of salary values and Im using the data value in the array to determine the vertical bounds of my rectangles.
I need to draw the rectangles the entire width of the chart (even when there is only a single data point). Thanks
Thanks to Heikki for his help. The following code works to use the axis values to draw on your Cartesian Data Canvas:
chtCanvas.drawRect(axisDate.minimum as Date, axisSalary.maximum, axisDate.maximum as Date, axisSalary.minimum);
Casting the values as Date really helped. The rest of the code used above is unecessary.
One thing to note, I was using a DateFormatter to format the date values from my data. What I didn't consider was that when using a DateTimeAxis, Flex will automatically add in extra dates to display on the axis. In my case, I was using a custom parse function to create MY points, but wasnt considering the points Flex was creating and also passing to my parse function (Therefore, they were not getting parsed correctly). Once I corrected this, the values laid out correctly in the case of multiple data points. I'm still having a bit of an issue with single data points and them not filling the chart entirely, but they are now drawing.
UPDATE:
Although there are signs of life, the minimum and maximum are still not drawing the entire width of the chart in some cases depending on the dataUnits and labelUnits combination.
UPDATE #2: SOLVED
Ok, so the axis does work as minimum/maximum values for the Cartesian Data Canvas but there is something important to remember. For a single point (and probably for multiple points as well, I just couldnt visually see the difference), when using a custom DateTimeAxis parse function such as what was in the Adobe Flex ASDoc tutorials:
private function axisDateParseFunction(item:String):Date
{
var inputDate:String = item;
inputDate = fmtDate.format(inputDate);
var newDate:Date = new Date();
if(inputDate)
{
var a:Array = inputDate.split('/');
newDate.fullYear = a[2];
newDate.month = a[0] - 1;
newDate.date = a[1];
newDate.hours = 0;
newDate.hoursUTC = 0;
newDate.minutes = 0;
newDate.minutesUTC = 0;
newDate.seconds = 0;
newDate.secondsUTC = 0;
newDate.milliseconds = 0;
newDate.millisecondsUTC = 0;
}
return newDate;
}
You MUST remember to set the UTC values as shown above also. Since the DateTimeAxis uses date AND time, when you create new Date objects, their time values also get set to the local system time. Remember to set those values to zero also or you will get points that dont exactly line up with your axis labels.