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OpenCV(?? ?? ??? ?? ?????)? ???? ??? ??? ?? ??? ??? ???? ?? ??? ??? ? ?? ????? ??? ?????. ???? ??? ????? ??? ?? ???? ? ?? ?? ?? ??? ?? ??? ???? ????. ??? ??? ????? Python? ?????. ??? ??? ????? ??? Python? NumPy? ?? ?? ??? ?????. OpenCV? ?? ??? ?? ??? ?? ??? ?? ??? ? ????: [https://dev.to/arpitmandliya/opencv-python-tutorial-3dac].
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???? ?? ??? ???? RGB(Opencv? BGR) ??? ???? ???. ?? ?? ??? Red, Green ? Blue ?? ??? ????? ?? ?????. ?? ??(?: Hue, Saturation ? Value)? ?? ???(SVG ?? PDF)? ??? ????? ?????. ?? ???.
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??? ??? ??? NumPy ? OpenCV ?????? ???? Python?? ??? ??? ???? ? ??? ? ????. ? ???? ??? ???? NumPy ??? ??? ???? ?????. ??? ???? ?? ??? ????? ??? ??? ???? ??? ?????(?: 10?? ???? ??). ??? ? ??? ??? ?? ?? ??? ???? ? ?????(?: ??? ? 100? ?? ?? ??? ???). ?? ?? ?? ???? ?? ??? ???? ?? ???? ? ???? ??? ?? ????. ?????, ?? ??? ?? ??? ???? ??? ??? ??? ??? ??? ??? ?????(?? 2 ??).
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import numpy as np import cv2 # load an image; image has to be in working directory when giving no path information img = cv2.imread('FlowerPower.jpg',cv2.IMREAD_UNCHANGED) # show the dimensions of the image array print(img.shape) # choose a resizing factor for the whole image; to depict it on computer screen resizing = .2 #convert original image to greyscale image img_grey = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # make a copy of the orignal image img_output = img.copy() # make a white canvas by assigning the color white (255,255, 255) to each pixel # [:,:] covers all values of the first and second array dimension img_output[:,:] = [255,255,255] # or with black [0,0,0] or any other color # Settings for looping over the image step_width = 40 # steps of loop; here: every 30th pixel # - 1 fills circle that is drawn onto output image; positive value define # line thickness of circle thickness = -1 perc = .2 # size factor for drawing circles/dots onto output image # for loops running over the first two dimensions of the array (width and height) # step_width defines which pixels are included for i in range(2, img.shape[0] - step_width, step_width): for u in range(2, img.shape[1] - step_width, step_width): # radius (dot size) is based on the value of greyscale version of original image # at the current index; e.g., pixel at i = 10, u = 30 might have 123 # perc variable modifies dot size radius = int((255-img_grey[i,u])*perc) +1 if radius <= 0: radius +=1 # take color from pixel at position [i,u] of original image # e.g., i = 10, u = 30 might have [123,0,61] color = img[i,u].astype(int).tolist() # draw a circle on output image using dot size based on greyscale # value with color of original image cv2.circle(img_output, (u,i), radius, color, thickness) # resize images, so they are not too big for computerscreen # based on the resizing variable defined at the top of the page img_size = img.shape img_sm = cv2.resize(img,(int(img_size[1]*resizing), int(img_size[0] * resizing)), interpolation = cv2.INTER_CUBIC) # open window that shows original image cv2.imshow("Original", img_sm) img_output_sm = cv2.resize(img_output,(int(img_size[1]*resizing), int(img_size[0]* resizing)), interpolation = cv2.INTER_CUBIC) # show the dotted image cv2.imshow("Dotted Image", img_output_sm)
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Python? Unittest ? Pytest? ??? ? ???? ??, ?? ? ??? ????? ? ?? ?? ???? ??? ??? ?????. 1. ??? ??? ?? ??? ???? ??? ??? ??? ?????. UnitTest? ??? ??? ???? ???? Test \ _? ???? ???? ?????. Pytest? ? ?????. Test \ _?? ???? ?? ? ??????. 2. ??? ?? ?? ? ?? ? ??? ??? ????. UnitTest? Assertequal, AssertTrue ? ?? ??? ???? ?? Pytest? ??? Assert ?? ???? ?? ?? ??? ???? ?????. 3. ?? ??? ?? ? ?? ????? ????? ????.

pythonisidealfordataanalysisduetonumpyandpandas.1) numpyexcelsatnumericalcomputationsfast, multi-dimensionalArraysandectorizedOferationsLikenp.sqrt ()

?? ????? (DP)? ??? ??? ? ??? ?? ??? ??? ??? ? ??? ??? ?? ??? ???? ??? ????? ??????. ? ?? ?? ??? ????. 1. ??? (??) : ??? ?? ??? ???? ??? ???? ?? ??? ??????. 2. ??? (?) : ?? ???? ???? ????? ?????. ???? ???, ?? ?? ?? ?? ??/?? ?, ??? ??? ?? ?? ?? ??? ??? ????? ?????. ?????? ????? ?? ???? ?? ??? ? ???, ?? ??? ???? ?? ?? ??? ???? ??? ???? ????? ???? ???????.

??? ?? ???? ????? ????? __iter_ ? __next__ ???? ???????. ① __iter__ ???? ??? ? ?? ??? ???? ??? ?? ?? ??? ?????. ② __next__ ???? ? ??? ?? ????, ?? ??? ??? ????, ? ?? ??? ??? stopiteration ??? ??????. status ??? ???? ??????? ?? ??? ??? ?? ?? ??? ???????. pile ?? ?? ???? ?? ??? ?? ? ??? ?? ? ??? ?????? ?????. simple ??? ??? ?? ?? ??? ?? ???? ???? ?? ??? ? ??? ?? ????? ???? ??? ??? ???????.

Python? ?? ???? ?? ???, ?? ?? ????, ?? ???? ?? ? AI/ML ??? ???? ??? ?????. ??, Cpython? ???? ????? ?? ??, ?? ?? ??? ? ?? ? ?? ??? ?? ??? ??????. ??, ??? ????? ?? ?? ? ?? ??? ????? ?? ?? ? ? ??? ?? ?????. ??, Pyscript ? Nuitka? ?? ?? ???? ??? ??? ?? ??? ?????. ?????, AI ? ??? ?? ??? ?? ???? ??? ?? ???????? ???? ?? ? ??? ?????. ??? ??? Python? ??? ??? ????? ???? ?? ??? ???? ??? ?????.

Python? ?? ??? ???? ?????? ????, ????? ? ?? ??????? ???? ? ??? ??? ???? ?? ??? ?????. ?? TCP ??? ????? Socket.Socket ()? ???? ??? ??? ?? ? ??? ????? .listen ()? ???? ??? ?? .accept ()? ?? ????? ??? ???????. TCP ?????? ????? ?? ??? ??? ??? ????? .connect ()? ?? ? ?? .sendall ()? ???? ???? ??? .recv ()? ?? ??? ??????. ?? ?????? ????? 1. ??? : ??? ??? ? ???? ??? ? ????. 2. ??? I/O : ?? ??, Asyncio ?????? ? ??? ??? ?? ? ? ????. ???? ? ?

???? Python ?? ?? ?????? ?? ????, "??? ?????, ?? ??"? ???? ??? ??? ??? ?? ??? ?????. 1. ???? ?? ? ??? ?? ?????. ?? ???? ?? ??? ???? ??? ? ? ????. ?? ??, Spoke () ?? ???? ??? ??? ?? ??? ?? ????? ?? ??? ??? ????. 2. ???? ?? ???? ??? ??? ?????? Draw () ???? ???? ????? ?? ???? ?? ??? ???? ??? ???? ?? ?? ?? ??? ????? ?? ?? ????? ?? ?????. 3. Python ?? ???? ???????. ?? ???? ??? ???? ?? ???? ??? ????? ??? ?? ???? ??? ???? ????. ??? ??? ??? ???? ? ??? "?? ??"??????. 4. ???? ? ???? ?? ??? ?????

Python List ????? ?? ?? ??? [Start : End : Step] ??? ????? ??? ???? ????. 1. ?? ????? ?? ??? ?? [start : end : step]???. ??? ?? ??? (??), ?? ? ??? (???? ??)?? ??? ?? ?????. 2. ????? ???? 0?? ????? ???? ????? ??? ??? ???? ????? ??? 1? ??????. 3. my_list [: n]? ???? ? ?? n ??? ?? my_list [-n :]? ???? ??? n ??? ????. 4. My_List [:: 2]? ?? ??? ?? ?? ??? ???? ??? ??? ?? ?? ?? ??? ???? ? ????. 5. ???? ???? ? ???? ???? ????
