David Chuan-En Lin
David Chuan-En Lin
I think `scipy.misc.toimage()` was removed in later versions of SciPy. Perhaps install a previous version, like `scipy==1.1.0` ([docs](https://docs.scipy.org/doc/scipy-1.1.0/reference/misc.html)).
You can try opening it with a text editor like gedit.
The class ID is the first digit of each line in the label .txt files. In YOLO, the IDs start from 0 and increments by one for each new class....
@JSGFJSG The labels are in the format: [class_id] [x_center] [y_center] [x_width] [y_width] which is the standard format for YOLO.
@JSGFJSG I haven't normalized the coordinates because this is the correct labeling format for the Linux (original) version of YOLO. However, I think it should be relatively straightforward to do...
@damnko I see that you always have count = 0. Perhaps check if all your training images are correctly labeled and configured (e.g. in same directory)? Also, feel free to...
@damnko Yes, therefore `count = 0` should indicate either some kind of error (e.g. labeling) or that it needs more iterations of training. You should expect to see several lines...
@damnko That's correct. FYI, feel free to open an issue [here](https://github.com/pjreddie/darknet/issues) and look if anyone has also faced a similar issue.
@damnko May I ask which repository for YOLO are you using? Some variants such as [AlexeyAB's](https://github.com/AlexeyAB/darknet) version require different labeling formats, such as the one you mentioned. The labels in...
That's odd - I trained the weights with the labels in this repo so the formatting should be fine. 🤔