thresh | Flutter-based mobile cross-platform dynamic UI framework | iOS library
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Flutter-based mobile cross-platform dynamic UI framework
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thresh Examples and Code Snippets
def sparse_add(a, b, threshold=None, thresh=None):
"""Adds two tensors, at least one of each is a `SparseTensor`.
If one `SparseTensor` and one `Tensor` are passed in, returns a `Tensor`. If
both arguments are `SparseTensor`s, this returns a
public void insertKey2HashTable(int key) {
Integer wrappedInt = key, temp;
int hash, loopCounter = 0;
if (isFull()) {
System.out.println("Hash table is full, lengthening & rehashing table");
reHash
def _SparseAddGrad(op, *grads):
"""The backward operator for the SparseAdd op.
The SparseAdd op calculates A + B, where A, B, and the sum are all represented
as `SparseTensor` objects. This op takes in the upstream gradient w.r.t.
non-empty
Community Discussions
Trending Discussions on thresh
QUESTION
I need to split text on image into lines and then save every line as new img.
I understand how to split in lines, but how i can save all lines as img?
there is my code:
...ANSWER
Answered 2021-Jun-15 at 18:39This is one way to do it:
QUESTION
Trying to recolor the hair using a mask. Firstly segmented hair from the main image & trying to make it a realistic one changing HSV value but according to my code the result is not the accurate output that i am looking for. Any solution?
...ANSWER
Answered 2021-Jun-13 at 03:03I have done a simple program for your project
first I used this code to get a mask https://docs.opencv.org/3.4/da/d97/tutorial_threshold_inRange.html . This code uses inRange function.
after that I used the following code to get the results
QUESTION
I have some sketched images where the images contain text captions. I am trying to remove those caption.
I am using this code:
...ANSWER
Answered 2021-Jun-09 at 20:15The cv2
pre-processing is unecessary here, tesseract is able to find the text on its own. See the example below, commented inline:
QUESTION
I have used below code to find number of sides in an image but it's not giving appropriate result import cv2
...ANSWER
Answered 2021-Jun-07 at 18:13QUESTION
ANSWER
Answered 2021-Jun-05 at 08:37It's not difficult to implement dilation in one direction using for loops, but it's a bit boring...
Suggested solution:
Move the image up by one pixel, take the maximum of image and "moved image"; repeat the process few times.
The suggested solution is inefficient in terms of complexity, but since loops in Python are so slow, its going to be faster than using nested for loops.
Here is a code sample:
QUESTION
I have a batch of screenshots like here:
and I try to detect the region with six digits and recognize them. The second part works like a charm. I have a problem detecting the correct region because it can be placed with a shift depending on screen dimensions. For example, crop image looks like this:
Seems it looks ok, but I have to add some workaround in code to select the right place.
My code:
...ANSWER
Answered 2021-Jun-03 at 17:09There are no magics in software...
Inappropriate filters "eats" part of your digits.
- Remove the tophat filter.
- Remove the Sobel filter.
- Replace
cv2.THRESH_BINARY
withcv2.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:
QUESTION
I would like to threshold an image, but instead of the output being black and white I would like it to be white and some other color. I was able to achieve this using a nested for-loop however this is slow and I was wondering if anyone knows any method of doing this efficiently using CV2 functionality.
...ANSWER
Answered 2021-Jun-03 at 13:10So the green channel is always 255 and the red and blue channels are just the threshold values?
So you are looking at something like this
QUESTION
import numpy as np
from scipy.signal import argrelextrema
a = np.array([0,2,4,2,0,2,3,2,3,2,0])
def raycrit(a,thresh):
min_ind = argrelextrema(a, np.less)
max_ind = argrelextrema(a, np.greater)
maxima = a[max_ind]
minima = a[min_ind]
if min_ind[0][0] > max_ind[0][0]:
for i in range(0,len(minima)):
if maxima[i] > thresh and maxima[i+1] > thresh:
if minima[i] > maxima[i]/2 and minima[i] > maxima[i+1]/2:
minima[i] = thresh
a[min_ind] = minima
return a
b = raycrit(a,2.5)
...ANSWER
Answered 2021-Jun-01 at 17:27This is a dtype
issue. You have the dtype
of a
set to int32/64
and when you try to update with a float (2.5
), it updates it to 2
which is the value it already was at. Do a = np.array(...., dtype=float)
to fix this.
QUESTION
ANSWER
Answered 2021-May-31 at 05:48You are drawing the contours on the same image, so you are getting the larger ROI with two drawn contours.
Suggested solution:
Draw each contour on a temporary image filled with zeros, and crop the ROI from the temporary image.
Create temporary image filled with zeros:
QUESTION
I need help with image preprocessing part. I have a MRI image of brain with Alzheimer's disease. I need to remove cranium (skull) from MRI and then crop that all the region which is around brain. How could I do that in python? with image processing. I have tried using openCV Thanks' a lot.
This is the code which I tried:
here the code
...ANSWER
Answered 2021-May-28 at 22:50Here is one approach in Python/OpenCV.
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