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Question
I trained 2 yolov4-tiny models for my license plate recognition system. The first is the fog plate region label, the second is the char labels (letters and numbers). The Turkish alphabet is read from left to right. That's why I want to sort the tagged letters in the frame according to the x position. When I don't do this, the order is wrong.
I handled it with the code below with yolov5 before. But I couldn't solve my problem because I don't know if there is a function named sorted_values in the yolov4-tiny model.
That is Yolov5(Left to right)
results1 = model(frame)
results1.pandas().xyxy[0].sort_values('xmin')
plate_num = str(results1.pandas().xyxy[0].sort_values('xmin').name.values)
clean_text2 = ""
for char in plate_num:
if char in "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ":
clean_text2 += char
plate_num = clean_text2
plate_num = plate_num.replace(" ", "").replace("\n", "")
This is My Code
import cv2
net = cv2.dnn.readNet("dnn_model/char-yolov4-tiny.weights", "dnn_model/char-yolov4-tiny.cfg")
model = cv2.dnn_DetectionModel(net)
model.setInputParams(size=(320, 320), scale=1/255)
plate_num=""
classes = []
with open("dnn_model/char-classes.txt", "r") as file_object:
for class_name in file_object.readlines():
class_name = class_name.strip()
classes.append(class_name)
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read() # Get frames
(class_ids, scores, bboxes) = model.detect(frame, confThreshold=0.3, nmsThreshold=.4)
for class_id, score, bbox in zip(class_ids, scores, bboxes):
(x, y, w, h) = bbox
cv2.rectangle(frame, (x, y), (x + w, y + h), (200,0,50), 3)
class_name = classes[class_id]
cv2.putText(frame, class_name, (x, y - 10), cv2.FONT_HERSHEY_PLAIN, 3, (200,0,50), 2)
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Question
I trained 2 yolov4-tiny models for my license plate recognition system. The first is the fog plate region label, the second is the char labels (letters and numbers). The Turkish alphabet is read from left to right. That's why I want to sort the tagged letters in the frame according to the x position. When I don't do this, the order is wrong.
I handled it with the code below with yolov5 before. But I couldn't solve my problem because I don't know if there is a function named sorted_values in the yolov4-tiny model.
That is Yolov5(Left to right)
results1 = model(frame) results1.pandas().xyxy[0].sort_values('xmin') plate_num = str(results1.pandas().xyxy[0].sort_values('xmin').name.values) clean_text2 = "" for char in plate_num: if char in "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ": clean_text2 += char plate_num = clean_text2 plate_num = plate_num.replace(" ", "").replace("\n", "")
This is My Code
import cv2
net = cv2.dnn.readNet("dnn_model/char-yolov4-tiny.weights", "dnn_model/char-yolov4-tiny.cfg") model = cv2.dnn_DetectionModel(net) model.setInputParams(size=(320, 320), scale=1/255)
plate_num=""
classes = [] with open("dnn_model/char-classes.txt", "r") as file_object: for class_name in file_object.readlines():
class_name = class_name.strip()
classes.append(class_name)
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read() # Get frames
(class_ids, scores, bboxes) = model.detect(frame, confThreshold=0.3, nmsThreshold=.4) for class_id, score, bbox in zip(class_ids, scores, bboxes): (x, y, w, h) = bbox cv2.rectangle(frame, (x, y), (x + w, y + h), (200,0,50), 3) class_name = classes[class_id]
cv2.putText(frame, class_name, (x, y - 10), cv2.FONT_HERSHEY_PLAIN, 3, (200,0,50), 2)
cv2.imshow("Frame", frame) plate_num+=class_name print(plate_num) key = cv2.waitKey(1)
if cv2.waitKey(1) & 0xFF == ord('q'): break
cap.release() cv2.destroyAllWindows()