You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
85 lines
2.6 KiB
Makefile
85 lines
2.6 KiB
Makefile
images=$(sort $(wildcard images/*.jpg))
|
|
output_ocr:=$(dir_ocr)/output.txt
|
|
tmpfile:= $(shell mktemp)
|
|
space:= $(empty) $(empty)
|
|
newline:= '\n'
|
|
listimgs:= $(subst $(space),$(newline), $(images) ) # list of the images, with one filename on each line $(subst $(delimitator),$(replacement),$(list))
|
|
OS:= $(shell uname)
|
|
# Colors: add color to output ie @echo $(color_r) output text
|
|
color_w:="\033[0;29m"
|
|
color_r:="\033[0;31m"
|
|
color_g:="\033[0;32m"
|
|
color_b:="\033[0;34m"
|
|
|
|
# HELP / SELF DOCUMENTATION
|
|
# rules where first line contains comment with 2x# (see example in clean rule)
|
|
.DEFAULT_GOAL := help # help rule as default when you run: make
|
|
|
|
.PHONY: help
|
|
|
|
help:
|
|
@grep -E '^[a-zA-Z_-\/]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
|
|
|
|
# CLEAN
|
|
clean: ## removes output (target) files
|
|
rm ocr/output.txt
|
|
rm $(wildcard output/*)
|
|
rm $(tmpfile)
|
|
|
|
|
|
# ADMINISTRATIVE RECIPES
|
|
|
|
dirs: ## create the dirs in working dir
|
|
@-mkdir -p images/
|
|
@-mkdir -p output/
|
|
@-mkdir -p ocr/
|
|
@echo $(color_r)'Directories made': images/ output/
|
|
|
|
|
|
|
|
testif:
|
|
ifeq ($(OS),Darwin)
|
|
@echo $(OS)
|
|
endif
|
|
|
|
|
|
# POST-PROCESSING RECIPES
|
|
|
|
ocr/output.txt: ## ocr with tesseract
|
|
echo $(listimgs) > $(@D)/list.txt
|
|
@echo $(basename $@ .txt)
|
|
tesseract $(@D)/list.txt $(basename $@ .txt)
|
|
|
|
|
|
|
|
#OUTPUT GENERATION RECIPES
|
|
|
|
output/tagged-words.txt: ocr/output.txt ## Analyzes OCR'ed text using a Part of Speech (POS) tagger. Outputs a string of tags (e.g. nouns, verbs, adjectives, and adverbs). Dependencies: python3's nltk, nltk's averaged_perceptron_tagger
|
|
cat $< | python3 src/wordtagger.py > $(@)
|
|
# install nltk's 'averaged_perceptron_tagger':
|
|
# $ python 3
|
|
# >>> import nltk
|
|
# >>> nltk.download('averaged_perceptron_tagger')
|
|
|
|
output/chatbot.txt: ocr/output.txt ## Comments a text with a simple chatbot. Dependencies: python3's chatterbot
|
|
cat $< | python3 src/textbotconversation.py $(@)
|
|
|
|
|
|
output/n7.txt: ocr/output.txt ## DESCRIBE WHAT IT DOES. Dependencies: python3's chatterbot
|
|
cat $< | python3 src/n_7.py > $(@)
|
|
|
|
|
|
visualization: $(images) $(tmpfile) ##Creates data visualization from images/*.jpg. Dependencies: mplayer
|
|
@echo $(tmpfile)
|
|
for i in $(images); do \
|
|
cat $$i >> $(tmpfile); \
|
|
done;
|
|
ifeq ($(OS),Darwin)
|
|
cat $(tmpfile) | mplayer -sws 4 -zoom -vf dsize=720:720 -demuxer rawvideo -rawvideo w=56:h=64:i420:fps=25 -;
|
|
else
|
|
cat $(tmpfile) | mplayer -vo x11 -sws 4 -zoom -vf dsize=720:720 -demuxer rawvideo -rawvideo w=50:h=50:i420:fps=25 -;
|
|
endif
|
|
|
|
|
|
ttssr-human-only: ocr/output.txt ## Loop: text to speech-speech recognition. Dependencies: espeak, pocketsphinx
|
|
bash src/ttssr-loop-human-only.sh ocr/output.txt
|