ValueError: not enough values to unpack (expected 3, got 0)

[ACanFirat]

I have an issue while training

sample txt file:
"""
0
0.48935185185185187 0.4830729166666667 0.8268518518518518 0.2671875
0.1425925925925926 0.3578125 0.862037037037037 0.36614583333333334 0.8851851851851852 0.6052083333333333 0.0962962962962963 0.5989583333333334
"""

yaml file:
"""
path: path_to_data/front_side

train: images/train

val: images/val


kpt_shape: [4, 2]
 # 2 cause of there are just x and y
flip_idx: [0, 1, 2, 3]


names:

0: front_side

"""

train.py:
"""
from ultralytics import YOLO



model = YOLO("yolov8n-pose.pt")
model.train(data=r"path_to_yaml\dataset.yaml", epochs=200,
imgsz=640, project="front_side_keypoint")
"""

"""
in get_labels
len_cls, len_boxes, len_segments = (sum(x) for x in zip(*lengths))
ValueError: not enough values to unpack (expected 3, got 0)
"""

I did as same as video while I am watching but I got this error. Can you please help me about it?

I run it on A5000 and ultralytics: 8.0.83

[sangeun-jo]

modify line 44 of CVAT_to_cocoKeypoints.py as below.

label_file.write('{} {} {}'.format(p[0] / width, p[1] / height, 2))

Then convert to coco keypoint foramt and try again.

[Zulfiquar15]

import os
from xml.dom import minidom
out_dir = './out'
if not os.path.exists(out_dir):
os.makedirs(out_dir)
file = minidom.parse('annotations.xml')
images = file.getElementsByTagName('image')
for image in images:
name = image.getAttribute('name')
width = int(image.getAttribute('width'))
height = int(image.getAttribute('height'))
bbox = image.getElementsByTagName('box')[0]
xtl = int(float(bbox.getAttribute('xtl')))
ytl = int(float(bbox.getAttribute('ytl')))
xbr = int(float(bbox.getAttribute('xbr')))
ybr = int(float(bbox.getAttribute('ybr')))
w = xbr - xtl
h = ybr - ytl
label_file = open(os.path.join(out_dir, name[:-4] + '.txt'), 'w')
label_file.write('0 {} {} {} {} '.format(str((xtl + (w / 2)) / width), str((ytl + (h / 2)) / height), str(w / width), str(h / height)))
keypoints = image.getElementsByTagName('points')
keypoints_list = []
for point in keypoints:
point_coords = point.attributes['points'].value.split(',')
keypoints_list.append((int(float(point_coords[0])), int(float(point_coords[1]))))
for kp in keypoints_list:
label_file.write('{} {} {} '.format(kp[0] / width, kp[1] / height, 2))
label_file.close()