Spaces:
Running
Running
File size: 4,667 Bytes
58e7ec3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 |
import argparse
import sys
from pathlib import Path
import cv2
import numpy as np
import torch
from detector import Detector
from recognizer import Recognizer
from checker import Checker
from utils import *
class Lottery:
def __init__(
self,
detector = "./checkouts/detection.pt",
recognizer = "./checkouts/recognition.pt",
detect_conf_thres = 0.25,
detect_iou_thres = 0.45,
cert_ = "cert_.txt",
timeout = 5,
cuda = True
):
self.detector_ = detector
self.detect_conf_thres = detect_conf_thres
self.detect_iou_thres = detect_iou_thres
self.recognizer_ = recognizer
self.cert_ = cert_
self.timeout = timeout
self.device = "cuda" if torch.cuda.is_available() and cuda else "cpu"
self.init_detector()
self.init_recognizer()
self.init_checker()
def init_detector(self):
self.detector = Detector(self.detector_, self.detect_conf_thres, self.detect_iou_thres, self.device)
def init_recognizer(self):
self.recognizer = Recognizer(self.recognizer_, self.device)
def init_checker(self):
self.checker = Checker.from_file(self.cert_, timeout=self.timeout)
def imread(self, img):
if isinstance(img, str):
p = Path(img)
if not p.is_file():
raise FileNotFoundError()
p = str(p.absolute())
img = imread(p) # BGR
assert img is not None, 'Cannot read image ' + str(p)
return img
elif isinstance(img, np.ndarray):
return img[:, :, ::-1] # rgb to bgr
else:
raise TypeError("Please input an image file.")
def detect(self, img):
detection = self.detector(img)
if not detection:
return
code, issue, numbers = detection
return code, issue, numbers
def recognize(self, img, code, issue, numbers, result_process=True):
issue = crop(img, issue)[0]
numbers = sort_box(numbers)
numbers = crop(img, numbers)
numbers.append(issue)
recognition = self.recognizer(numbers)
if not recognition:
return
issue, _ = recognition.pop()
numbers = recognition
numbers = [num[0] for num in numbers]
if not result_process:
return code, issue, numbers
numbers = number_process(numbers, code)
issue = issue_process(issue)
return code, issue, numbers
def check(self, code, issue, numbers):
hits, winning = self.checker(code, issue, numbers)
return code, issue, winning, numbers, hits
def __call__(self, img, recognition_only=False):
img = self.imread(img)
detection = self.detect(img)
if not detection:
return
recognition = self.recognize(img, *detection, result_process=True)
if not recognition:
return
if recognition_only:
return recognition
return self.check(*recognition)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--detector", type=str, default="./checkouts/detection.pt", help="detector model file")
parser.add_argument("--recognizer", type=str, default="./checkouts/recognition.pt", help="recognizer model file")
parser.add_argument("--detect_conf_thres", type=float, default=0.25, help="detection confidence threshold")
parser.add_argument("--detect_iou_thres", type=float, default=0.45, help="detection iou threshold")
parser.add_argument("--cert_", type=str, default="./cert_.txt", help="API infomation")
parser.add_argument("--timeout", type=int, default=5, help="timeout for waiting response")
parser.add_argument("--cuda", action="store_true", help="use cuda or cpu")
parser.add_argument("--recognition_only", action="store_true", help="return recognition results rather than checked results")
parser.add_argument("image", type=str, help="image with lottery in it")
opt = parser.parse_args()
l = Lottery(
detector=opt.detector,
recognizer=opt.recognizer,
detect_conf_thres=opt.detect_conf_thres,
detect_iou_thres=opt.detect_iou_thres,
cert_=opt.cert_,
timeout=opt.timeout,
cuda=opt.cuda
)
assert opt.image, "Please specify an image containing lottery."
result = l(opt.image, opt.recognition_only)
if not result:
print("Sorry, something is wrong. You may try again.")
else:
result = Result.fromTuple(result)
print(result)
|