multi-template-matching / multitemplatematching-python Goto Github PK

I may be mistaken, but it seems this package supports only 2D images, is that correct?

I am trying to use this for detecting cracks on metal surfaces. I am getting this error (copied in the end). I have attached the code and images to reproduce this error. Can you please help out?

Error:

Traceback (most recent call last):
File "/Users/pallavidubey/Documents/MultiTemplateMatching-Python/tutorials/SampleError.py", line 41, in
Hits = matchTemplates(listTemplate, im1, score_threshold=0.9, method=5, maxOverlap=0)
File "/Users/pallavidubey/Documents/MultiTemplateMatching-Python/MTM/init.py", line 271, in matchTemplates
tableHit = findMatches(listTemplates, image, method, N_object, score_threshold, searchBox)
File "/Users/pallavidubey/Documents/MultiTemplateMatching-Python/MTM/init.py", line 149, in findMatches
_ = future.result()
File "/Users/pallavidubey/mambaforge/envs/mtm/lib/python3.9/concurrent/futures/_base.py", line 439, in result
return self.__get_result()
File "/Users/pallavidubey/mambaforge/envs/mtm/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/Users/pallavidubey/mambaforge/envs/mtm/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/Users/pallavidubey/Documents/MultiTemplateMatching-Python/MTM/init.py", line 201, in _multi_compute
corrMap = computeScoreMap(template, image, method, mask=mask)
File "/Users/pallavidubey/Documents/MultiTemplateMatching-Python/MTM/init.py", line 87, in computeScoreMap
return cv2.matchTemplate(image, template, method, mask=mask)
cv2.error: OpenCV(4.7.0) /Users/xperience/GHA-OCV-Python/_work/opencv-python/opencv-python/opencv/modules/imgproc/src/templmatch.cpp:588: error: (-215:Assertion failed) corr.rows <= img.rows + templ.rows - 1 && corr.cols <= img.cols + templ.cols - 1 in function 'crossCorr'
SampleError.zip

How can I do scale invariant template matching using MTM?

Hi. Is it possible to use MTM outside of Jupyter? For example, in Visual Studio Code, using Anaconda/Python3.7 (and not a Jupyter notebook)?

To speed up the matchTemplates function I decided to first run some image preprocessing and extract rectangles representing my regions of interest. With some templates being smaller than others I often get rectangles that only fit the smaller templates. When a template bigger than the currrent searchbox is tried, the error

• cv2.error: (-215:Assertion failed) _img.size().height <= _templ.size().height && ;_img.size().width <= _templ.size().width in function 'cv::matchTemplate'

occurs on

• init line 143 corrMap = computeScoreMap(template, image, method, mask=mask)

I bandaided the issue by wrapping that line in a try except block, but some logic to check sizes earlier in the function would probably save time.

Hi @LauLauThom

Really useful.
Would it be possible to change this to a more permissive license such as MIT ?
With GPL it is difficult to bundle this with other applications.

When I try to use pip install it gives me this error because it can't find this version of opencv-python-headless. I tried using pip install to install the latest opencv-python-headless, which is 4.2.0.34, but when I tried to install your package it still tried to grab the older version dependency and returned that error.
I've made sure that I uninstalled previous opencv-python versions before doing this too.

(venv) C:\Users\Stuart\PycharmProjects\bot_tutorial1>pip install Multi-Template-Matching
Collecting Multi-Template-Matching
  Using cached Multi_Template_Matching-1.5.3-py3-none-any.whl (22 kB)
Collecting scikit-image
  Using cached scikit_image-0.17.1-cp38-cp38-win32.whl (10.6 MB)
Requirement already satisfied: numpy in c:\users\stuart\pycharmprojects\bot_tutorial1\venv\lib\site-packages (from Multi-Template-Matching) (1.18.4)
ERROR: Could not find a version that satisfies the requirement opencv-python-headless==4.1.0.25 (from Multi-Template-Matching) (from versions: 3.4.8.29, 3.4.9.31, 3.4.9.33, 4.1.2.30, 4.2.0.32, 4.2.0.34)
ERROR: No matching distribution found for opencv-python-headless==4.1.0.25 (from Multi-Template-Matching)

If I want to run the jupyther notebook in Google Colab I get an error when running the line
"# Then call the function matchTemplates (here a single template)
Hits = matchTemplates(listTemplate, image, N_object=4,score_threshold=0.4, method=cv2.TM_CCOEFF_NORMED, maxOverlap=0.3)"

There is probably a index error.
IndexError: invalid index to scalar variable.

If we use method = TM_CCORR_NORMED, are we able to use a mask (as one can with OpenCV's matchTemplate)?

Or are there any other ways to search for something other than a rectangle? For example:

Hi. Is it possible this is a typo?

`- sortAscending : use True when low score means better prediction (Difference-based score), True otherwise (Correlation score)`

(Should it say "False otherwise"?)