-
Notifications
You must be signed in to change notification settings - Fork 2
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
7 changed files
with
408 additions
and
199 deletions.
There are no files selected for viewing
Large diffs are not rendered by default.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,120 +1,2 @@ | ||
| # Copyright (C) 2018: Gregory Jansen | ||
| # The code is GPL 3.0(GNU General Public License) ( http://www.gnu.org/copyleft/gpl.html ) | ||
| # | ||
| """Punch Card Reader | ||
| Usage: | ||
| punchcard.py <image-file>... | ||
| punchcard.py [options] | ||
| Options: | ||
| -h --help show this | ||
| -v --version show program version | ||
| """ | ||
|
|
||
| from .punchcard import PunchCard | ||
| from docopt import docopt | ||
| from PIL import Image, ImageOps, ImageStat | ||
| import numpy | ||
|
|
||
| def example(): | ||
| example = "images/C04D01L-0001.tif" | ||
| #example = "images/C04D01R-0033.tif" | ||
| image = Image.open(example) | ||
| image = image.convert(mode="L") | ||
| if(isnotbacklit(image)): | ||
| image = ImageOps.invert(image) | ||
| #image.show() | ||
| image = cropCard(image) | ||
| image = normalizeFlip(image) | ||
| image.show() | ||
| card = PunchCard(image, bright=127) | ||
| print("Card Text:"+card.text) | ||
|
|
||
| # Identify the lightest corner and place it top-left | ||
| def normalizeFlip(orig_img): | ||
| testbox = (0,0,20,20) | ||
| brightest = -1 | ||
| test_img = orig_img | ||
| best_flip = test_img | ||
| for (x,y), value in numpy.ndenumerate(numpy.zeros((2,2))): | ||
| if x: | ||
| test_img = orig_img.transpose(Image.FLIP_LEFT_RIGHT) | ||
| if y: | ||
| test_img = test_img.transpose(Image.FLIP_TOP_BOTTOM) | ||
| # test_img.show() | ||
| b = brightness(test_img.crop(testbox)) | ||
| if b > brightest: | ||
| brightest = b | ||
| best_flip = test_img | ||
| return best_flip | ||
|
|
||
| def cropCard(im): | ||
| # crop along X axis | ||
| left, right = findMargins(im, axis=0) | ||
| # box is: L, T, R, B | ||
| x_crop_box = (left, 0, right, im.size[1]-1) | ||
| x_cropped = im.crop(x_crop_box) | ||
| # x_cropped.show() | ||
|
|
||
| # crop along Y axis | ||
| top, bottom = findMargins(x_cropped, axis=1) | ||
| y_crop_box = (0, top, x_cropped.size[0]-1, bottom) | ||
| result = x_cropped.crop(y_crop_box) | ||
| result.show() | ||
| return result | ||
|
|
||
| # Find the index values where dark region begins and ends | ||
| def findMargins(im, axis=0, threshold=.2): | ||
| pix = numpy.array(im) | ||
| max = im.size[axis]*255 | ||
| max = max - int(max*threshold) | ||
| vector = numpy.sum(pix, axis=axis) | ||
| first = 0 | ||
| last = len(vector)-1 | ||
| #threshold = numpy.average(vector) | ||
| #threshold = int(numpy.average(vector)/2) | ||
| #threshold = 100 | ||
| for i in range(0, len(vector)-1): | ||
| if(vector[i] < max): | ||
| first = i-1 | ||
| break | ||
| for i in range(0, len(vector)-1): | ||
| if(vector[len(vector)-1-i] < max): | ||
| last = len(vector)-i | ||
| break | ||
| return (first, last) | ||
|
|
||
|
|
||
| # Determine if card is darker than the background | ||
| def isnotbacklit(image): | ||
| # is the center lighter or darker than the edges.. | ||
| # pick a center square and avg brightness | ||
| width, height = image.size | ||
| ctr_box = (width/4, height/4, (width/4)*3, (height/4)*3) | ||
| ctr_region = image.crop(ctr_box) | ||
| # pick square left edge to center square and avg brightness. | ||
| left_box = (0, height/4, width/4, (height/4)*3) | ||
| left_region = image.crop(left_box) | ||
| return brightness(left_region) < brightness(ctr_region) | ||
|
|
||
| def brightness( im ): | ||
| stat = ImageStat.Stat(im) | ||
| return stat.mean[0] | ||
|
|
||
| def read_card(image_file): | ||
| image = Image.open(image_file) | ||
| image = image.convert(mode="L") | ||
| if(isnotbacklit(image)): | ||
| image = ImageOps.invert(image) | ||
| image = cropCard(image) | ||
| #image.show() | ||
| if(image.size[1] > image.size[0]): | ||
| image = image.transpose(Image.ROTATE_90) | ||
| image = normalizeFlip(image) | ||
| card = PunchCard(image, bright=127) | ||
| return card.text | ||
|
|
||
| if __name__ == '__main__': | ||
| args = docopt(__doc__, version='Punch Card Reader 1.0') | ||
| for item in args['<image-file>']: | ||
| print(read_card(item)) | ||
| from punchcards.punchcard import PunchCard | ||
| from punchcards.normalize import find_card |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| from .punchcard import PunchCard | ||
| from docopt import docopt | ||
|
|
||
| if __name__ == '__main__': | ||
| args = docopt(__doc__, version='Punch Card Reader 1.0') | ||
|
|
||
| logger = logging.getLogger('punchcard') | ||
| logger.setLevel(logging.WARN) | ||
| ch = logging.StreamHandler() | ||
| formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') | ||
| ch.setFormatter(formatter) | ||
| logger.addHandler(ch) | ||
|
|
||
| if '--debug' in args: | ||
| logger.setLevel(logging.DEBUG) | ||
|
|
||
| for item in args['<image-file>']: | ||
| image = Image.open(item) | ||
| image.show() | ||
| image = find_card(image) | ||
| image.show() | ||
| card = PunchCard(image, bright=127) # using neutral gray as threshold color | ||
| return card.text |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,118 @@ | ||
| # Copyright (C) 2018: Gregory Jansen | ||
| # The code is GPL 3.0(GNU General Public License) ( http://www.gnu.org/copyleft/gpl.html ) | ||
| # | ||
| """Punch Card Reader | ||
| Usage: | ||
| punchcard <image-file>... | ||
| punchcard [options] | ||
| Options: | ||
| -h --help show this | ||
| -v --version show program version | ||
| -d --debug show debug level logging | ||
| """ | ||
|
|
||
| from PIL import Image, ImageOps, ImageStat | ||
| import numpy | ||
| import logging | ||
| from .punchcard import PunchCard | ||
|
|
||
| logger = logging.getLogger('punchcard') | ||
|
|
||
| def example(): | ||
| example = "images/C04D01L-0001.tif" | ||
| #example = "images/C04D01R-0033.tif" | ||
| image = Image.open(example) | ||
| image = image.convert(mode="L") | ||
| if(isnotbacklit(image)): | ||
| image = ImageOps.invert(image) | ||
| image = cropCard(image) | ||
| image = normalizeFlip(image) | ||
| image.show() | ||
| card = PunchCard(image, bright=127) | ||
| print("Card Text:"+card.text) | ||
|
|
||
| # Identify the lightest corner and place it top-left | ||
| def normalizeFlip(orig_img): | ||
| testbox = (0,0,20,20) | ||
| brightest = -1 | ||
| test_img = orig_img | ||
| best_flip = test_img | ||
| for (x,y), value in numpy.ndenumerate(numpy.zeros((2,2))): | ||
| if x: | ||
| test_img = orig_img.transpose(Image.FLIP_LEFT_RIGHT) | ||
| if y: | ||
| test_img = test_img.transpose(Image.FLIP_TOP_BOTTOM) | ||
| # test_img.show() | ||
| b = brightness(test_img.crop(testbox)) | ||
| if b > brightest: | ||
| brightest = b | ||
| best_flip = test_img | ||
| return best_flip | ||
|
|
||
| def cropCard(im): | ||
| # crop along X axis | ||
| left, right = findMargins(im, axis=0) | ||
| # box is: L, T, R, B | ||
| x_crop_box = (left, 0, right, im.size[1]-1) | ||
| x_cropped = im.crop(x_crop_box) | ||
| # x_cropped.show() | ||
|
|
||
| # crop along Y axis | ||
| top, bottom = findMargins(x_cropped, axis=1) | ||
| y_crop_box = (0, top, x_cropped.size[0]-1, bottom) | ||
| result = x_cropped.crop(y_crop_box) | ||
| result.show() | ||
| return result | ||
|
|
||
| # Find the index values where dark region begins and ends | ||
| def findMargins(im, axis=0, threshold=.2): | ||
| pix = numpy.array(im) | ||
| max = im.size[axis]*255 | ||
| max = max - int(max*threshold) | ||
| vector = numpy.sum(pix, axis=axis) | ||
| first = 0 | ||
| last = len(vector)-1 | ||
| #threshold = numpy.average(vector) | ||
| #threshold = int(numpy.average(vector)/2) | ||
| #threshold = 100 | ||
| for i in range(0, len(vector)-1): | ||
| if(vector[i] < max): | ||
| first = i-1 | ||
| break | ||
| for i in range(0, len(vector)-1): | ||
| if(vector[len(vector)-1-i] < max): | ||
| last = len(vector)-i | ||
| break | ||
| return (first, last) | ||
|
|
||
|
|
||
| # Determine if card is darker than the background | ||
| def isnotbacklit(image): | ||
| # is the center lighter or darker than the edges.. | ||
| # pick a center square and avg brightness | ||
| width, height = image.size | ||
| ctr_box = (width/4, height/4, (width/4)*3, (height/4)*3) | ||
| ctr_region = image.crop(ctr_box) | ||
| # pick square left edge to center square and avg brightness. | ||
| left_box = (0, height/4, width/4, (height/4)*3) | ||
| left_region = image.crop(left_box) | ||
| return brightness(left_region) < brightness(ctr_region) | ||
|
|
||
| def brightness( im ): | ||
| stat = ImageStat.Stat(im) | ||
| return stat.mean[0] | ||
|
|
||
| def find_card(image): | ||
| image = image.convert(mode="L") | ||
| if(isnotbacklit(image)): | ||
| image = ImageOps.invert(image) | ||
| image = cropCard(image) | ||
| #image.show() | ||
| if(image.size[1] > image.size[0]): | ||
| image = image.transpose(Image.ROTATE_90) | ||
| image = normalizeFlip(image) | ||
| return image | ||
|
|
||
| if __name__ == '__main__': | ||
| example() |
Oops, something went wrong.