I am trying to visualize the results of the scanned bar/QR Codes with opencv. But the localization_result.localization_points returned is not giving the correct position of the Codes in the image. Below is the output that i am getting.
The result is always found on the top right corner of the image. Can anyone please explain how the result points data can be configured properly?
import os
import sys
import cv2
import json
from typing import List
from dbr import *
import glob
import random
import pandas as pd
def showResult(image,result):
cv2.namedWindow("DynamoSoft Result", cv2.WINDOW_NORMAL)
points = result["points"]
cv2.line(image, points[0], points[1], color, thickness)
cv2.line(image, points[1], points[2], color, thickness)
cv2.line(image, points[2], points[3], color, thickness)
cv2.line(image, points[3], points[0], color, thickness)
cv2.putText(image, result['parsed'], points[0], cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,0,255))
# image = cv2.resize(image, (1560, 940))
cv2.imshow("DynamoSoft Result",image)
#add wait key. window waits till user press any key
cv2.waitKey(0)
#and finally destroy/Closing all open windows
cv2.destroyWindow("DynamoSoft Result")
# you can replace the following variables' value with yours.
license_key = "my_key"
#license_server = "Input the name/IP of the license server"
json_file = r"./settings.json"
image = r"./../test_images/IMG_0273.JPG"
# image_folder = r"./../test_images/画像元データ/*/"
image_folder = r"./../test_images/画像元データ/12.部品単体_TMコントロールECU_ラベル2/"
# To show results on image
thickness = 2
color = (0,255,0)
reader = BarcodeReader()
reader.init_license(license_key)
error = reader.init_runtime_settings_with_file(json_file)
if error[0] != EnumErrorCode.DBR_OK:
print(error[1])
full_results = []
for idx, img in enumerate(glob.glob(os.path.join(image_folder, "*.*"))):
result_dict = []
print(f"Reading {img}")
# print('Test', idx+1)
print(40*'#')
try:
image = cv2.imread(img)
text_results:List[TextResult] = reader.decode_buffer(image)
if text_results != None:
for text_result in text_results:
result_list = {}
result_list["filename"]= img
result_list["format"] = text_result.barcode_format_string
result_list["parsed"] = text_result.barcode_text
result_list["points"] = text_result.localization_result.localization_points
print("Barcode Format :")
print(text_result.barcode_format_string)
print("Barcode Text :")
print(text_result.barcode_text)
print("Localization Points : ")
print(text_result.localization_result.localization_points)
print(text_result.localization_result.result_coordinate_type)
print("-------------")
showResult(image,result_list)
result_dict.append(result_list)
except BarcodeReaderError as bre:
print(bre)
full_results.append(result_dict)
# print(full_results)
print(40*'#')
# print(full_results)
// https://demo.dynamsoft.com/DBR/BarcodeReaderDemo.aspx
{
"ImageParameter": {
"AccompanyingTextRecognitionModes": [
{
"Mode": "ATRM_SKIP"
}
],
"BarcodeColourModes": [
{
"LightReflection": 1,
"Mode": "BICM_DARK_ON_LIGHT"
}
],
"BarcodeComplementModes": [
{
"Mode": "BCM_SKIP"
}
],
"BarcodeFormatIds": [
"BF_ALL"
],
"BarcodeFormatIds_2": [
"BF2_POSTALCODE",
"BF2_DOTCODE"
],
"BinarizationModes": [
{
"BlockSizeX": 0,
"BlockSizeY": 0,
"EnableFillBinaryVacancy": 1,
"ImagePreprocessingModesIndex": -1,
"Mode": "BM_LOCAL_BLOCK",
"ThreshValueCoefficient": 10
},
{
"BlockSizeX": 0,
"BlockSizeY": 0,
"EnableFillBinaryVacancy": 0,
"ImagePreprocessingModesIndex": -1,
"Mode": "BM_LOCAL_BLOCK",
"ThreshValueCoefficient": 15
}
],
"ColourClusteringModes": [
{
"Mode": "CCM_SKIP"
}
],
"ColourConversionModes": [
{
"BlueChannelWeight": -1,
"GreenChannelWeight": -1,
"Mode": "CICM_GENERAL",
"RedChannelWeight": -1
}
],
"DPMCodeReadingModes": [
{
"Mode": "DPMCRM_GENERAL"
}
],
"DeblurLevel": 9,
"DeformationResistingModes": [
{
"Level": 5,
"Mode": "DRM_GENERAL"
}
],
"Description": "",
"ExpectedBarcodesCount": 999,
"FormatSpecificationNameArray": null,
"GrayscaleTransformationModes": [
{
"Mode": "GTM_ORIGINAL"
},
{
"Mode": "GTM_INVERTED"
}
],
"ImagePreprocessingModes": [
{
"Mode": "IPM_GENERAL"
}
],
"IntermediateResultSavingMode": {
"Mode": "IRSM_MEMORY"
},
"IntermediateResultTypes": [
"IRT_NO_RESULT"
],
"LocalizationModes": [
{
"Mode": "LM_CONNECTED_BLOCKS"
},
{
"Mode": "LM_SCAN_DIRECTLY",
"ScanDirection": 0,
"ScanStride": 0
},
{
"Mode": "LM_STATISTICS"
},
{
"Mode": "LM_LINES"
},
{
"Mode": "LM_STATISTICS_MARKS"
},
{
"Mode": "LM_STATISTICS_POSTAL_CODE"
}
],
"MaxAlgorithmThreadCount": 4,
"Name": "default",
"PDFRasterDPI": 300,
"PDFReadingMode": {
"Mode": "PDFRM_AUTO"
},
"Pages": "",
"RegionDefinitionNameArray": [
"default"
],
"RegionPredetectionModes": [
{
"Mode": "RPM_GENERAL"
}
],
"ResultCoordinateType": "RCT_PERCENTAGE",
"ReturnBarcodeZoneClarity": 0,
"ScaleDownThreshold": 99999,
"ScaleUpModes": [
{
"Mode": "SUM_AUTO"
}
],
"TerminatePhase": "TP_BARCODE_RECOGNIZED",
"TextAssistedCorrectionMode": {
"BottomTextPercentageSize": 0,
"LeftTextPercentageSize": 0,
"Mode": "TACM_VERIFYING",
"RightTextPercentageSize": 0,
"TopTextPercentageSize": 0
},
"TextFilterModes": [
{
"MinImageDimension": 65536,
"Mode": "TFM_GENERAL_CONTOUR",
"Sensitivity": 0
}
],
"TextResultOrderModes": [
{
"Mode": "TROM_CONFIDENCE"
},
{
"Mode": "TROM_POSITION"
},
{
"Mode": "TROM_FORMAT"
}
],
"TextureDetectionModes": [
{
"Mode": "TDM_GENERAL_WIDTH_CONCENTRATION",
"Sensitivity": 5
}
],
"Timeout": 99999
},
"RegionDefinition": {
"BarcodeFormatIds": [
"BF_ALL"
],
"BarcodeFormatIds_2": [
"BF2_POSTALCODE",
"BF2_DOTCODE"
],
"Bottom": 100,
"ExpectedBarcodesCount": 0,
"FormatSpecificationNameArray": null,
"Left": 0,
"MeasuredByPercentage": 1,
"Name": "default",
"Right": 100,
"Top": 0
},
"Version": "3.0"
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent