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# TO DO #
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# * If ocr (tesseract rule) has been performed do repeate it
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# * document depencies
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# * remove tmp files
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dir_ocr:="ocr"
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images=$(wildcard images/*.jpg)
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output_ocr:=$(dir_ocr)/output.txt
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tmpfile:= $(shell mktemp)
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space:= $(empty) $(empty)
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newline:= '\n'
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listimgs:= $(subst $(space),$(newline),$(images)) # list of the images, with one filename on each line $(subst $(delimitator),$(replacement),$(list))
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OS:= $(shell uname)
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color_w:="\033[0;29m" # Colors
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color_r:="\033[0;31m"
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color_g:="\033[0;32m"
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color_b:="\033[0;34m"
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# add color to output ie @echo $(color_r) something
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##### ADMINISTRATIVE RECIPES
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dirs: # create the directories for the working structures
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@mkdir -p images # scanned image dir
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@mkdir -p output # outputs dir
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@echo $(color_r)'Directories made'
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rmtmp:
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rm $(tmpfile)
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testif:
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ifeq ($(OS),Darwin)
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@echo $(OS)
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endif
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##### POST-PROCESSING RECIPES
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tesseract:
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echo $(listimgs) > ocr/list.txt
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tesseract ocr/list.txt $(basename $(output_ocr))
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##### OUTPUT GENERATION RECIPES
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myscript: tesseract
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cat $(output_ocr) | python3 src/myscript.py > output/a-new-file.txt
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wordtagger: tesseract
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cat $(output_ocr) | python3 src/wordtagger.py > output/tagged-words.txt
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# DEPENDENCY: nltk, nltk: 'averaged_perceptron_tagger'
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# $ python 3
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# >>> import nltk
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# >>> nltk.download('averaged_perceptron_tagger')
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talktochatbot: tesseract
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cat $(output_ocr) | python3 src/textbotconversation.py
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# depency: chatterbot
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n+7: tesseract
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cat $(output_ocr) | python3 src/n_7.py > output/n7.txt
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visualization: $(images) $(tmpfile) #requires mplayer
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@echo $(tmpfile)
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for i in $(images); do \
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cat $$i >> $(tmpfile); \
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done;
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ifeq ($(OS),Darwin)
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cat $(tmpfile) | mplayer -sws 4 -zoom -vf dsize=720:720 -demuxer rawvideo -rawvideo w=56:h=64:i420:fps=25 -;
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else
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cat $(tmpfile) | mplayer -vo x11 -sws 4 -zoom -vf dsize=720:720 -demuxer rawvideo -rawvideo w=50:h=50:i420:fps=25 -;
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endif
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tts: # Text-to-speech
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cat $(output_ocr) | espeak
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# ** Makefile Syntax notes **
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# @ preceding command tells make not to print the command being executed
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#
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