This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
I am trying to train prebuilt dataset using:
$ python train.py cfg/ape.data cfg/yolo-pose.cfg backup/ape/init.weights
And got this error upon execution, please help in troubleshooting.
Traceback (most recent call last):
File "train.py", line 289, in
nsamples = file_lines(trainlist)
File "/content/singleshotpose/utils.py", line 1011, in file_lines
count += buffer.count('\n')
TypeError: a bytes-like object is required, not 'str'
I am trying to train prebuilt dataset using:
$ python train.py cfg/ape.data cfg/yolo-pose.cfg backup/ape/init.weights
And got this error upon execution, please help in troubleshooting.