I have just downloaded the dataset caltech101 and I want to resize the image into the shape of (200,300,3). As I have read, I first need to convert the image into a tensor and then resize it using tf.image.decode_jpeg. But I don't know how to start from scratch with an image and turn it to a tensor.
(I'm a beginner in learning machine learning)
To load an image using TensorFlow, first decode it like so:
image = tf.image.decode_jpeg(...)
To resize it, use the image from the code above, like so:
resized_image = tf.image.resize_images(image, [299, 299])
You can find more on their API documents here.
Related
I want to make a pixelate image in moviepy, I have reference the following Doc:
Moviepy: https://zulko.github.io/moviepy/ref/videofx/moviepy.video.fx.all.resize.html
And tried the following:
clip = ImageClip("source.jpg").resize(0.01).resize(100)
While it does make the video blur, it does not produce a pixelated image.
What I want to do is something like the below:
Imagemagick: How to pixelate/blur an image using ImageMagick?
However, I want to prevent using imagemagick natively if possible. Would like to know if it is possible, thanks.
I would like to add text to an image using Images in julia.
I googled but results are not much helpful in this regard!
Please guide me adding text at specified co-ordintes to an image using Images in julia.
I am not aware of a solution using only Images, but you can do something like this with Plots and Images
using Plots, Images
img = load("test.png")
plot(img)
annotate!(1.,1.,text("test",20))
I am trying to load a small TIFF image using Emgu.CV (2.4.10). The image is a 32bit (float32) single band image, but when loading it using Emgu it opens it as a <Bgra, Single> image.
Is Emgu misinterpreting the image or are there some method to force Emgu to load the image as a <Gray, Single>?
I assume you are trying to read a image from a file. If this is the case you can simply specify the image format and bit depth when declaring the Image.
Image<Gray,Single> myImage = new Image<Gray,Single>("myFile.tiff");
As a part of an experiment I'm trying to process images edited in . I am erasing parts of the image like a brush by drawing on it with
ctx.globalCompositeOperation = "destination-out";
I'm converting this canvas to image with ctx.toDataURL() and saving this in the server with a base64 conversion. So the saved image at this stage looks like this:
The white areas are actually transparent. Now I'm putting this same through the Pillow imageEnhance module:
path = imgName
imObj = Image.open(imgName)
enhObj = ImageEnhance.Contrast(imObj)
enhObj.enhance(factor).show()
Though the contrast adjustment has happened properly this is how the image looks:
Any idea why this is happening and how to tackle this?
Its a problem with the application show() is calling which in this case is some Imagemagick viewer. Once saved to disk the image rendered properly. The problem with lossy transparency however still exists with desaturation through ImageEngance.color() module.
I have read pixel values of an raster image using GDAL libraries in visual studio 2010(vc++).
Next is , I have to crop the image (subset) according to the grid given in shape file.
Forget about the grid this time.
I just want to clip square or rectangular area and save to new file.
I have read some documents which suggest about gdal_translate and gdal_warp function to use but it can only be run in python where as i want to use c++.
Please help me as early as possible.
I have solved the problem of cropping the image using VC++ with gdal libraries. I have created VRTDataset of my desired size of raster to be cropped and then save it using CreateCopy().