gradx | A javascript-jquery gradient selector and modifier library | Plugin library

When you use plt.quiver you might want to plot the arrows every N datapoints instead of every datapoints. This requires indexing your X, Y,gradxnorm and gradynorm accordingly. Below is an example where I only plot points with x and y coordinates multiples of 10:

There are no magics in software...

Inappropriate filters "eats" part of your digits.

• Remove the tophat filter.
• Remove the Sobel filter.
• Replace cv2.THRESH_BINARY with cv2.THRESH_BINARY_INV.
• Increase the size of sqKernel.

I recommend you to draw the contours, and show (or save) intermediate results for testing.

Here is the modified code:

You can create multiple plots next/below each other via plt.subplots(nrows=1, ncols=1). Take a look at the documentation for examples.

If you want to create multiple plots in one, you could share the x or y axis via ax.twinx() or ax.twiny().

The main problem of your code

You are searching for a pattern and trying to get its groups even before checking if the search returned something.

You don't need all the preprocessing (like Sobel, erode, dilate) for finding before executing findContours.

findContours works better when contours are full (filled with white color) instead of having just the edges.
I suppose you can keep the code from cv2.findContours to the end, and get the result you are looking for.

You may use the following stages:

• Apply binary threshold using Otsu's thresholding (just in case image is not a binary image).
• Execute cv2.findContours, and Find the contour with the maximum area.
• Use cv2.minAreaRect for finding the minimum area bounding rectangle.

Here is a code sample:

You need to tweak the Aspect Ratio and Coverage ratio thresholds to obtain all the desired bounding boxes. When I run your code, for 05, the value of ar is 1.541 and value of crWidth is 0.03. Since these values are less than the thresholds you have specified, they are getting filtered out. This is why some of the words do not have bounding boxes in the final image.

But, since you want to get the entire DOB in a single bounding box, just before the line thresh[:, 0:p] = 0, you can apply a dilation operation:
thresh = cv2.morphologyEx(thresh, cv2.MORPH_DILATE, np.ones((1, 30), np.uint8)).

This will dilate the pixels and combine blobs that are nearby horizontally. The resultant image after preprocessing is as follows -

The final image -

The reason for the issue is, that the shader program with the geometry shader fails to compile or link. Hence the geometry is drawn by the default shader program instead of the program with the geometry shader.

There is (at least) one error in the vertex shader:

newNormal = vec3(vec4(normalMatrix * normal, 0.0));

You need to have a better morphological operation and have a threshold on the size of the connected components. Here is the change I made to your code to catch all barcodes: