def run_scan_setup(cam_index=0):
setup_all(True)
cam = cv.CreateCameraCapture(cam_index)
scan_card.setup_windows()
# main loop
run = True
while run:
# for now, name the next box as the largest integer box name, +1
current_max_box = session.query(func.max(sqlalchemy.cast(InvCard.box, sqlalchemy.Integer))).first()[0]
if current_max_box is None:
# if there is no current box, just start at 1
next_box = 1
else:
next_box = current_max_box + 1
print "box to scan[%02d]: " % next_box,
answer = ("%s" % raw_input().rstrip())
if answer != '' and answer != 'q':
next_box = answer
capture_box(cam, next_box)
if answer == 'q':
run = False
run_match()
import cv
import scan_card
from elixir import session, setup_all
import sqlalchemy
from sqlalchemy import func
from models import *
import re
setup_all(True)
cam = cv.CreateCameraCapture(0)
scan_card.setup_windows()
def capture_box(cam, boxnum):
while True: #retry loop
retry = False
captures = scan_card.watch_for_card(cam)
scan_card.save_captures(boxnum, captures)
print "captured %d cards. is this correct?" % len(captures)
answer = raw_input()
print "got answer: ", answer
if re.search('[yc]',answer):
break #finish the function
else:
print "try editing captures_%02d to match" % boxnum
answer = ""
while not re.match('[cra]', answer):
print "when done - (c)orrected? (r)etry scan? or (a)bort?"
answer = raw_input()
if re.search('c',answer):
]
# Load the sets
known = load_set_cache(SET_CACHE_FILE)
if known is None:
print "Processing magic sets"
known = match_card.load_sets(BASE_SET_DIR, SETS)
print "Saving sets to cache file %s" % (SET_CACHE_FILE)
save_set_cache(SET_CACHE_FILE, known)
print "Magic sets loaded and ready"
cam = cv.CreateCameraCapture(-1) # Camera, -1 indicates autofind
#cam = cv.CreateCameraCapture(1)
# TODO: detect failed to load camera, CAN NOT simply check if cam is None
scan_card.setup_windows() # win, snapshot, match, background
tts = TTS() # Load test to speech festival
cache = match_card.GradientCache(BASE_SET_DIR) # memory cache
scanCard = ScanCard(cam)
matchCard = MatchCard(BASE_SET_DIR)
csv = MagicAssistantCSV(CSV_FILE, append=True)
while True:
capture = scanCard.check_for_card()
if capture is not None:
print "Card captured, proceeding to find a match"
(card,
set_name), is_sure = match_card.match_card(capture, known, cache)
# Display matched information
if is_sure == True:
] # Load the sets known = load_set_cache(SET_CACHE_FILE) if known is None: print "Processing magic sets" known = match_card.load_sets(BASE_SET_DIR, SETS) print "Saving sets to cache file %s" % (SET_CACHE_FILE) save_set_cache(SET_CACHE_FILE, known) print "Magic sets loaded and ready" cam = cv.CreateCameraCapture(-1) # Camera, -1 indicates autofind #cam = cv.CreateCameraCapture(1) # TODO: detect failed to load camera, CAN NOT simply check if cam is None scan_card.setup_windows() # win, snapshot, match, background tts = TTS() # Load test to speech festival cache = match_card.GradientCache(BASE_SET_DIR) # memory cache scanCard = ScanCard(cam) matchCard = MatchCard(BASE_SET_DIR) csv = MagicAssistantCSV(CSV_FILE, append=True) while True: capture = scanCard.check_for_card() if capture is not None: print "Card captured, proceeding to find a match" (card, set_name), is_sure = match_card.match_card(capture, known, cache) # Display matched information if is_sure == True: print "\tMatch Found!"
from match_card import compare_cards, hash_original_images, load_orig_image_hashs_from_json
import cv2
import numpy as np
import scan_card
import scipy
import timeit
import json
import os.path
DEFAULTCAM = 0
WEBCAM = 1
cam = cv2.VideoCapture(WEBCAM)
scan_card.setup_windows()
scanCard = ScanCard(cam)
if (os.path.isfile("orig_image_hashs.json")):
orig_image_hashs = load_orig_image_hashs_from_json()
else:
orig_image_hashs = hash_original_images()
while True:
capture = scanCard.check_for_card()
if capture is not None:
print "Card captured, proceeding to find a match"
scanCard.display_snapshot()
original = compare_cards(capture, orig_image_hashs)
cv2.imshow("match", original)
