As I detect my tflite file, the problem happened.
The command I wrote.
python detect.py --weights ./checkpoints/yolov4-tiny-tf.tflite --size 416 --model yolov4 --image D:yolov4trainingtensorflow-yolov4-tflite-masterdatarice.jpg --framework tflite --tiny true
And the wrong message:
cv2.rectangle(image, c1, c2, bbox_color, bbox_thick) cv2.error: OpenCV(4.5.2) :-1: error: (-5:Bad argument) in function 'rectangle' > Overload resolution failed: > - Can't parse 'pt1'. Sequence item with index 0 has a wrong type > - Can't parse 'pt1'. Sequence item with index 0 has a wrong type > - Can't parse 'rec'. Expected sequence length 4, got 2 > - Can't parse 'rec'. Expected sequence length 4, got 2
Here is the related code.(core/utils.py)
fontScale = 0.5
score = out_scores[0][i]
class_ind = int(out_classes[0][i])
bbox_color = colors[class_ind]
bbox_thick = int(0.6 * (image_h + image_w) / 600)
c1, c2 = (coor[1], coor[0]), (coor[3], coor[2])
cv2.rectangle(image, c1, c2, bbox_color, bbox_thick)
if show_label:
bbox_mess = '%s: %.2f' % (classes[class_ind], score)
t_size = cv2.getTextSize(bbox_mess, 0, fontScale, thickness=bbox_thick // 2)[0]
c3 = (c1[0] + t_size[0], c1[1] - t_size[1] - 3)
cv2.rectangle(image, c1, (np.float32(c3[0]), np.float32(c3[1])), bbox_color, -1) #filled
cv2.putText(image, bbox_mess, (c1[0], np.float32(c1[1] - 2)), cv2.FONT_HERSHEY_SIMPLEX,
fontScale, (0, 0, 0), bbox_thick // 2, lineType=cv2.LINE_AA)
return image
I have change it to
fontScale = 0.5
score = out_scores[0][i]
class_ind = int(out_classes[0][i])
bbox_color = colors[class_ind]
bbox_thick = int(0.6 * (image_h + image_w) / 600)
c1, c2 = (int(coor[1]), int(coor[0])), (int(coor[3]), int(coor[2]))
print(c1, c2, bbox_color, bbox_thick)
cv2.rectangle(image, (int(coor[1]), int(coor[0])), (int(coor[3]), int(coor[2])), bbox_color, -1)
if show_label:
bbox_mess = '%s: %.2f' % (classes[class_ind], score)
t_size = cv2.getTextSize(bbox_mess, 0, fontScale, thickness=bbox_thick // 2)[0]
c3 = (c1[0] + t_size[0], c1[1] - t_size[1] - 3)
cv2.rectangle(image, (int(coor[1]), int(coor[0])), (int(c3[0]), int(c3[1])), (255, 0, 0), -1) #filled
cv2.putText(image, bbox_mess, (int(c1[0]), int(c1[1] - 2)), cv2.FONT_HERSHEY_SIMPLEX,
fontScale, (0, 0, 0), bbox_thick // 2, lineType=cv2.LINE_AA)
return image
As it didn’t got wrong, it still didn’t show the image.
[{'name': 'input_1', 'index': 0, 'shape': array([ 1, 416, 416, 3]), 'shape_signature': array([ -1, 416, 416, 3]), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}]
[{'name': 'Identity', 'index': 232, 'shape': array([ 1, 2535, 4]), 'shape_signature': array([ 1, -1, 4]), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}, {'name': 'Identity_1', 'index': 211, 'shape': array([ 1, 2535, 2]), 'shape_signature': array([ 1, -1, 2]), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}]
Did anyone have any thought to solve it?
Thanks for your help!
Here is my files : https://github.com/piggychu0w0/food-image-detection
Answers:
Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them as advisements. If you found the post helpful (or not), leave a comment & I’ll get back to you as soon as possible.
Method 1
The problem is that you are passing tuples with floats into the function’s parameters as the points. Here is the error reproduced:
import cv2 import numpy as np img = np.zeros((600, 600), 'uint8') c1 = 50.2, 12.4 c2 = 88.8, 40.8 cv2.rectangle(img, c1, c2, (255, 0, 0), -1)
Output:
Traceback (most recent call last):
File "C:/Users/User/Desktop/temp.py", line 9, in <module>
cv2.rectangle(img, c1, c2, (255, 0, 0), -1)
cv2.error: OpenCV(4.5.2) :-1: error: (-5:Bad argument) in function 'rectangle'
> Overload resolution failed:
> - Can't parse 'pt1'. Sequence item with index 0 has a wrong type
> - Can't parse 'pt1'. Sequence item with index 0 has a wrong type
> - Can't parse 'rec'. Expected sequence length 4, got 2
> - Can't parse 'rec'. Expected sequence length 4, got 2
And to fix it, simply use the int() wrapper around the coordinates:
import cv2 import numpy as np img = np.zeros((600, 600), 'uint8') c1 = 50.2, 12.4 c2 = 88.8, 40.8 cv2.rectangle(img, (int(c1[0]), int(c1[1])), (int(c2[0]), int(c2[1])), (255, 0, 0), -1)
Method 2
Just try the below changes it’s works for me.
fontScale = 0.5
score = out_scores[i]
class_ind = int(out_classes[i])
bbox_color = colors[class_ind]
bbox_thick = int(0.6 * (image_h + image_w) / 600)
c1, c2 = (coor[0], coor[1]), (coor[2], coor[3])
print(c1, c2, bbox_color, bbox_thick)
cv2.rectangle(image, (int(c1[0]), int(c1[1])), (int(c2[0]), int(c2[1])), bbox_color, bbox_thick)
if show_label:
bbox_mess = '%s: %.2f' % (classes[class_ind], score)
t_size = cv2.getTextSize(bbox_mess, 0, fontScale, thickness=bbox_thick // 2)[0]
c3 = (c1[0] + t_size[0], c1[1] - t_size[1] - 3)
cv2.rectangle(image, (int(c1[0]), int(c1[1])), (int(c3[0]), int(c3[1])), (255, 0, 0), -1) #filled
cv2.putText(image, bbox_mess, (int(c1[0]), int(c1[1] - 2)), cv2.FONT_HERSHEY_SIMPLEX,
fontScale, (0, 0, 0), bbox_thick // 2, lineType=cv2.LINE_AA)
return image
Method 3
n_lines = len(bbox)
for i in range(n_lines):
# draw all lines
point1 = tuple(bbox[i][0])
point2 = tuple(bbox[(i+1) % n_lines][0])
cv2.line(img, point1, point2, (255, 0, 0), thickness=2)
All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0