cuevas1208 / fingerprint_recognition Goto Github PK

result = calculate_singularities(image, angles, 1, 16)
TypeError: calculate_singularities() missing 1 required positional argument: 'mask'

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Traceback (most recent call last):
File "finegerprint_piplineold.py", line 75, in
results = fingerprint_pipline(img)
File "finegerprint_piplineold.py", line 41, in fingerprint_pipline
gabor_img = gabor_filter(normim, angles, freq)
File "/home/pi/Desktop/saas/7777/jupyter Note books Works/2022/11/Git/fingerprint_recognition-master/utils/gabor_filter.py", line 43, in gabor_filter
array = np.linspace(-block_size,block_size,(2*block_size + 1))
File "<array_function internals>", line 6, in linspace
File "/usr/local/lib/python3.7/site-packages/numpy/core/function_base.py", line 120, in linspace
num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer

error: OpenCV(4.6.0) /tmp/pip-wheel-8c7uejek/opencv-python_88dbbad412c5416b992ae69de26299d6/opencv/modules/imgproc/src/morph.simd.hpp:841: error: (-213:The function/feature is not implemented) Unsupported data type (=4) in function 'getMorphologyFilter'

Hardware : Raspberry pi 4 ,
Python3.7 and 3.9 Following Error

So I am trying to run the entire code using my own fingerprint dataset, however, I have been getting an error which I am not too sure how to debug. It is related to the Normalization.py and the fingerprint_pipeline.py file. The error I am getting is 'NoneType' object has no attribute 'copy'. This was the error message from the terminal. Could someone give me a hint on what i can do to debug please. Many thanks.
File "fingerprint_pipeline.py", line 69, in
results = fingerprint_pipline(img)
File "fingerprint_pipeline.py", line 19, in fingerprint_pipline
norm_img = normalize(input_img.copy(), float(100), float(100))
AttributeError: 'NoneType' object has no attribute 'copy'

 10 #cv.imwrite('JupiterBase01.png', results)

/home/pi/Desktop/saas/7777/jupyter Note books Works/2022/11/Git/fingerprint_recognition-master/finegerprint_pipline.py in fingerprint_pipline(input_img)
29
30 # ROI and normalisation
---> 31 (segmented_img, normim, mask) = create_segmented_and_variance_images(normalized_img, block_size, 0.2)
32
33 # orientations

/home/pi/Desktop/saas/7777/jupyter Note books Works/2022/11/Git/fingerprint_recognition-master/utils/segmentation.py in create_segmented_and_variance_images(im, w, threshold)
49 # smooth mask with a open/close morphological filter
50 kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE,(w2, w2))
---> 51 mask = cv.morphologyEx(mask, cv.MORPH_OPEN, kernel)
52 mask = cv.morphologyEx(mask, cv.MORPH_CLOSE, kernel)
53
error: OpenCV(4.6.0) /tmp/pip-wheel-8c7uejek/opencv-python_88dbbad412c5416b992ae69de26299d6/opencv/modules/imgproc/src/morph.simd.hpp:841: error: (-213:The function/feature is not implemented) Unsupported data type (=4) in function 'getMorphologyFilter'
Pi 3,4 Persion

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Traceback (most recent call last):
File "finegerprint_piplineold.py", line 75, in
results = fingerprint_pipline(img)
File "finegerprint_piplineold.py", line 41, in fingerprint_pipline
gabor_img = gabor_filter(normim, angles, freq)
File "/home/pi/Desktop/saas/7777/jupyter Note books Works/2022/11/Git/fingerprint_recognition-master/utils/gabor_filter.py", line 43, in gabor_filter
array = np.linspace(-block_size,block_size,(2*block_size + 1))
File "<array_function internals>", line 6, in linspace
File "/usr/local/lib/python3.7/site-packages/numpy/core/function_base.py", line 120, in linspace
num = operator.index(num)

can you remove those noise and enhance this fingerprint