I am trying to render a QGraphicsScene to an image using Qt5 using the following code:
QImage image(outputWidth, outputHeight, QImage::Format_ARGB32_Premultiplied);
QPainter painter(&image);
scene->render(&painter);
painter.setRenderHints(QPainter::Antialiasing | QPainter::SmoothPixmapTransform);
image.mirrored().save("output.png");
The problem is that points that are too close to the boundary of the image are not rendered. Is there a way to enforce a padding/margin?
You could implement a pad by rendering to a larger image then clipping to a smaller one.
int pad_width = 4;
QImage image;
QImage padded_image(outputWidth + 2 * pad_width, outputHeight + 2 * pad_width, QImage::Format_ARGB32_Premultiplied);
QPainter painter(&padded_image);
scene->render(&painter);
painter.setRenderHints(QPainter::Antialiasing | QPainter::SmoothPixmapTransform);
image = padded_image.copy(pad_width, pad_width, outputWidth, outputHeight);
image.mirrored().save("output.png");
Related
I am trying to rotate Qpixmap with Qtransformed, it seems the point of rotation is center of pixmap by default, how can i define custom point for example top mid of pixmap?
def rotate_pixmap(self):
pixmap = QtGui.QPixmap("image.png")
self.rotation += 1
transform = QtGui.QTransform().rotate(self.rotation)
pixmap = pixmap.transformed(transform, QtCore.Qt.SmoothTransformation)
self.label.setPixmap(pixmap)
Curently based on Sascha Willems examples I've cerated samplerCube texture for fragment shader.
It has same JPG image copied to all 6 layers (faces).
I use stbi image library for image loading, it works okay if I use it for regular 2D texture, but if it's mapped on cube mesh it creates distorted image:
int width = 0, height = 0, channel = 0;
float* pixels = stbi_loadf("textures/test.hdr", &width, &height, &channel, STBI_rgb_alpha);
if(!pixels) throw std::runtime_error("failed to load texture image!");
this->texture_image.create_image(width, height, VK_FORMAT_R32G32B32A32_SFLOAT, VK_IMAGE_USAGE_TRANSFER_DST_BIT | VK_IMAGE_USAGE_SAMPLED_BIT);
this->texture_image.fill_memory(width, height, 4*sizeof(float), pixels);
this->texture_image.create_image_view(VK_FORMAT_R32G32B32A32_SFLOAT, VK_IMAGE_ASPECT_COLOR_BIT);
stbi_image_free(pixels);
Found how to do it here: https://learnopengl.com/PBR/IBL/Diffuse-irradiance
Even if it's in OpenGL the concenpt is the same.
I use the following numpy array that hold an image which is black and white image with the following shape
print(img.shape)
(28, 112)
when I try to grayscale the image, to use it to get contours using opencv with following steps
#grayscale the image
grayed = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#thredshold image
thresh = cv2.threshold(grayed, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
I got the following error
<ipython-input-178-7ebff17d1c18> in get_digits(img)
6
7 #grayscale the image
----> 8 grayed = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
9
10
error: C:\projects\opencv-python\opencv\modules\imgproc\src\color.cpp:11073: error: (-215) depth == 0 || depth == 2 || depth == 5 in function cv::cvtColor
the opencv errors have no information in it to be able to get what is wrong
Here is the working code for how you were trying it:
img = np.stack((img,) * 3,-1)
img = img.astype(np.uint8)
grayed = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(grayed, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
A simpler way of getting the same result is to invert the image yourself:
img = (255-img)
thresh = cv2.threshold(img, 0, 255, cv2.THRESH_OTSU)[1]
As you discovered, as you perform different operations on images, the image is required to be in different formats.
cv2.THRESH_BINARY_INV and cv2.THRESH_BINARY are designed to take a color image (and convert it to grayscale) so you need a three channel representation.
cv2.THRESH_OTSU works with grayscale images so one channel is okay for that.
Since your image was already grayscale from the start, you weren't able to convert it from color to grayscale nor did you really need to. I assume you were trying to invert the image but that's easy enough on your own (255-img).
At one point you tried to do an cv2.THRESH_OTSU with floating point values but cv2.THRESH_OTSU requires integers between 0 and 255.
If openCV had more user-friendly error messages it would really help with issues like these.
I am trying to read a 12-bit grayscale (DICOM:MONOCHROME2) image. I can read DICOM RGB files fine. When I attempt to load a grayscale image into NSBitmapImageRep, I get the following error message:
Inconsistent set of values to create NSBitmapImageRep
I have the following code fragment:
NSBitmapImageRep *rep = [[NSBitmapImageRep alloc]
initWithBitmapDataPlanes : nil
pixelsWide : width
pixelsHigh : height
bitsPerSample : bitsStored
samplesPerPixel : 1
hasAlpha : NO
isPlanar : NO
colorSpaceName : NSCalibratedWhiteColorSpace
bytesPerRow : width * bitsAllocated / 8
bitsPerPixel : bitsAllocated];
With these values:
width = 256
height = 256
bitsStored = 12
bitsAllocated = 16
Nothing seems inconsistent to me. I have verified that the image is: width*height*2 in length. So I am pretty sure that it is in a 2-byte grayscale format. I have tried many variations of the parameters, but nothing works. If I change "bitsPerSample" to 16, the error message goes away, but I get a solid black image. The closest success that I have been able to achieve, is to set "bitsPerPixel" to zero. When I do this, I successfully produce an image but it is clearly incorrectly rendered (you can barely make out the original image). Please some suggestions!! I have tried a long time to get this to work and have checked the Stack overflow and the web (many times). Thanks very much for any help!
SOLUTION:
After the very helpful suggestions from LEADTOOLS Support, I was able to solve my problem. Here is the code fragment that works (assuming a MONOCHROME2 DICOM image):
// If, and only if, MONOCHROME2:
NSBitmapImageRep *imageRep = [[NSBitmapImageRep alloc]
initWithBitmapDataPlanes : &pixelData
pixelsWide : width
pixelsHigh : height
bitsPerSample : bitsAllocated /*bitsStored-this will not work*/
samplesPerPixel : samplesPerPixel
hasAlpha : NO
isPlanar : NO
colorSpaceName : NSCalibratedWhiteColorSpace
bytesPerRow : width * bitsAllocated / 8
bitsPerPixel : bitsAllocated];
int scale = USHRT_MAX / largestImagePixelValue;
uint16_t *ptr = (uint16_t *)imageRep.bitmapData;
for (int i = 0; i < width * height; i++) *ptr++ *= scale;
It is important to know about the Transfer Syntax (0002:0010) and Number of frames in the dataset. Also, try to get the value length and VR for Pixel Data (7FE0:0010) element. Using value length of the pixel data element you will be able to validate your calculation for uncompressed image.
As for displaying the image, you will also need the value for High Bit (0028:0102) and Pixel Representation (0028:0103). An image could be 16-bit allocated, 12-bit stored, high bit set to 15 and have one sample per pixel. That means 4 lest significant bits of each word do not contain pixel data. Pixel Representation when set to 1 means sign bit is the high bit in pixel sample.
In addition, you many need to apply modality LUT transformation (rescale slope and rescale intercept for linear transformation) when present in the dataset to prepare the data for display. At the end, you apply the VOI LUT transformation (Window center and Window Width) to display the image.
uniform sampler2D sampler0;
uniform vec2 tc_offset[9];
void blur()
{
vec4 sample[9];
for(int i = 0; i < 9; ++i)
sample[i] = texture2D(sampler0, gl_TexCoord[0].st + tc_offset[i]);
gl_FragColor = (sample[0] + (2.0 * sample[1]) + sample[2] +
(2.0 * sample[3]) + sample[4] + 2.0 * sample[5] +
sample[6] + 2.0 * sample[7] + sample[8] ) / 13.0;
}
How does the sample[i] = texture2D(sample0, ...) line work?
It seems like to blur an image, I have to first generate the image, yet here, I'm somehow trying to query the very iamge I'm generating. How does this work?
It applies a blur kernel to the image. tc_offset needs to be properly initialized by the application to form a 3x3 area of sampling points around the actual texture coordinate:
0 0 0
0 x 0
0 0 0
(assuming x is the original coordinate). The offset for the upper-left sampling point would be -1/width,-1/height. The offset for the center point needs to be carefully aligned to texel center (the off-by-0.5 problem). Also, the hardware bilinear filter can be used to cheaply increase the amount of blur (by sampling between texels).
The rest of the shader scales the samples by their distance. Usually, this is precomputed as well:
for(int i = 0; i < NUM_SAMPLES; ++i) {
result += texture2D(sampler,texcoord+offsetscaling[i].xy)*offsetscaling[i].z;
}
One way is to generate your original image to render to a texture, not to the screen.
And then you draw a full screen quad using this shader and the texture as it's input to post-process the image.
As you note, in order to make a blurred image, you first need to make an image, and then blur it. This shader does (just) the second step, taking an image that was generated previously and blurring it. There needs to be additional code elsewhere to generate the original non-blurred image.