plate recognition geekforgeek

Comment

0

new_predicted_result_GWT2180 = pytesseract.image_to_string(gaussian_blur_license_plate, lang ='eng',
config ='--oem 3 -l eng --psm 6 -c tessedit_char_whitelist = ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789')
filter_new_predicted_result_GWT2180 = "".join(new_predicted_result_GWT2180.split()).replace(":", "").replace("-", "")
print(filter_new_predicted_result_GWT2180)

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Comment

0

# specify path to the license plate images folder as shown below
path_for_license_plates = os.getcwd() + "/license-plates/**/*.jpg"
list_license_plates = []
predicted_license_plates = []
  
for path_to_license_plate in glob.glob(path_for_license_plates, recursive = True):
      
    license_plate_file = path_to_license_plate.split("/")[-1]
    license_plate, _ = os.path.splitext(license_plate_file)
    '''
    Here we append the actual license plate to a list
    '''
    list_license_plates.append(license_plate)
      
    '''
    Read each license plate image file using openCV
    '''
    img = cv2.imread(path_to_license_plate)
      
    '''
    We then pass each license plate image file
    to the Tesseract OCR engine using the Python library 
    wrapper for it. We get back predicted_result for 
    license plate. We append the predicted_result in a
    list and compare it with the original the license plate
    '''
    predicted_result = pytesseract.image_to_string(img, lang ='eng',
    config ='--oem 3 --psm 6 -c tessedit_char_whitelist = ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789')
      
    filter_predicted_result = "".join(predicted_result.split()).replace(":", "").replace("-", "")
    predicted_license_plates.append(filter_predicted_result)

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Comment

0

print("Actual License Plate", "\t", "Predicted License Plate", "\t", "Accuracy")
print("--------------------", "\t", "-----------------------", "\t", "--------")
  
def calculate_predicted_accuracy(actual_list, predicted_list):
    for actual_plate, predict_plate in zip(actual_list, predicted_list):
        accuracy = "0 %"
        num_matches = 0
        if actual_plate == predict_plate:
            accuracy = "100 %"
        else:
            if len(actual_plate) == len(predict_plate):
                for a, p in zip(actual_plate, predict_plate):
                    if a == p:
                        num_matches += 1
                accuracy = str(round((num_matches / len(actual_plate)), 2) * 100)
                accuracy += "%"
        print("     ", actual_plate, "\t\t\t", predict_plate, "\t\t  ", accuracy)
  
          
calculate_predicted_accuracy(list_license_plates, predicted_license_plates)

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Comment

0

# Read the license plate file and display it
test_license_plate = cv2.imread(os.getcwd() + "/license-plates / GWT2180.jpg")
plt.imshow(test_license_plate)
plt.axis('off')
plt.title('GWT2180 license plate')

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Comment

0

resize_test_license_plate = cv2.resize(
    test_license_plate, None, fx = 2, fy = 2, 
    interpolation = cv2.INTER_CUBIC)

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Comment

0

grayscale_resize_test_license_plate = cv2.cvtColor(
    resize_test_license_plate, cv2.COLOR_BGR2GRAY)

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Comment

0

gaussian_blur_license_plate = cv2.GaussianBlur(
    grayscale_resize_test_license_plate, (5, 5), 0)

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: www.geeksforgeeks.org

Tags: whatever

Share

Link to this answer
Share Copy Link

Contributed on Sep 21 2023

Sleepy Skunk

0 Answers Avg Quality 2/10

plate recognition geekforgeek

Contents

More Related Answers

plate recognition geekforgeek

Closely Related Answers

plate recognition geekforgeek

plate recognition geekforgeek

plate recognition geekforgeek

plate recognition geekforgeek

plate recognition geekforgeek

plate recognition geekforgeek

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.