개정판 a5003140
revised #577: Equipment Desc. 영역 설정
| DTI_PID/DTI_PID/DTI_PID.py | ||
|---|---|---|
| 850 | 850 |
Jeongwoo 2018.06.21 If noteTextInfoList is None, change from None to empty list |
| 851 | 851 |
''' |
| 852 | 852 |
def executeRecognition(signal, updateProgressSignal, path, listWidget, isSymbolTextChecked): |
| 853 |
import re |
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| 853 | 855 |
global src |
| 854 | 856 |
global srcGray |
| 855 | 857 |
global ocrCompletedSrc |
| ... | ... | |
| 892 | 894 |
srcGray = src.copy() |
| 893 | 895 |
srcGray = cv2.threshold(srcGray, 127, 255, cv2.THRESH_BINARY)[1] |
| 894 | 896 |
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# remove equipment desc. area |
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| 898 |
configs = docData.getConfigs('{} Equipment Desc Area'.format(docData.imgName))
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for config in configs: |
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found = re.findall('\d+', config.value)
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if len(found) == 4: |
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cv2.rectangle(srcGray, (int(found[0]), int(found[1])), (int(found[2]), int(found[3])), 255, -1) |
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# up to here |
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area = docData.getArea('Drawing')
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| 896 | 906 |
if area is not None: |
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#TODO: 영역을 설정한 값과 이미지 좌표계를 차이를 보정 |
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| 898 | 907 |
area.img = srcGray[round(area.y):round(area.y+area.height), round(area.x):round(area.x+area.width)] |
| 899 | 908 |
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| 900 | 909 |
listWidget.addItem("Start recognition : " + mainRes)
|
| ... | ... | |
| 1105 | 1114 |
@date 2018.06.11 |
| 1106 | 1115 |
''' |
| 1107 | 1116 |
def getDifference(orgImagePath, recImagePath): |
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import re |
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| 1108 | 1119 |
global srcGray |
| 1109 | 1120 |
global ocrCompletedSrc |
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global textInfoList |
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global noteTextInfoList |
| 1112 | 1123 |
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| 1113 | 1124 |
try: |
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docData = AppDocData.instance() |
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| 1114 | 1126 |
if os.path.isfile(orgImagePath) and os.path.isfile(recImagePath): |
| 1115 | 1127 |
imgOriginal = cv2.threshold(cvtGrayImage(cv2.imread(orgImagePath, 1)), 127, 255, cv2.THRESH_BINARY)[1] |
| 1128 |
# remove equipment desc. area |
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| 1129 |
configs = docData.getConfigs('{} Equipment Desc Area'.format(docData.imgName))
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| 1130 |
for config in configs: |
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found = re.findall('\d+', config.value)
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if len(found) == 4: |
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cv2.rectangle(imgOriginal, (int(found[0]), int(found[1])), (int(found[2]), int(found[3])), 255, -1) |
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# up to here |
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| 1116 | 1136 |
imgRecognized = cv2.threshold(cvtGrayImage(cv2.imread(recImagePath, 1)), 127, 255, cv2.THRESH_BINARY)[1] |
| 1117 | 1137 |
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| 1118 | 1138 |
imgDiff = np.ones(imgOriginal.shape, np.uint8)*255 |
내보내기 Unified diff
