* faster and more informative training plots
* Update utils.py
Looks good. Needs pep8 linting, I'll do that in PyCharm later once PR is in.
* Update test.py
* Update train.py
f for the tb descriptor lets us plot several batches, i.e. to allow us to change L292 to 'if ni < 3' for 3 examples.
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
In a clean environment running training fails if tensorboard is not installed e.g.
```
Traceback (most recent call last):
File "/home/josh/miniconda3/envs/ultralytics/lib/python3.7/site-packages/torch/utils/tensorboard/__init__.py", line 2, in <module>
from tensorboard.summary.writer.record_writer import RecordWriter # noqa F401
ModuleNotFoundError: No module named 'tensorboard'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 6, in <module>
from torch.utils.tensorboard import SummaryWriter
File "/home/josh/miniconda3/envs/ultralytics/lib/python3.7/site-packages/torch/utils/tensorboard/__init__.py", line 4, in <module>
raise ImportError('TensorBoard logging requires TensorBoard with Python summary writer installed. '
ImportError: TensorBoard logging requires TensorBoard with Python summary writer installed. This should be available in 1.14 or above.
```
IlyaOvodov
Glenn Jocher
Josh Veitch-Michaelis
Josh Veitch-Michaelis