MVP of napari viewer #30
Conversation
|
|
||
| if lf_data is not None and ls_data is not None: | ||
| # update data | ||
| try: |
There was a problem hiding this comment.
Might be slightly faster to check the key with something like:
if LF_LAYER_NAME not in viewer.layers:
viewer.add_image(...)
else:
...
if LS_LAYER_NAME not in viewer.layers:
...
else:
...There was a problem hiding this comment.
| yield (lf_data, ls_data) | ||
|
|
||
| if time.time() - t_start < 60: | ||
| if _verbose: |
There was a problem hiding this comment.
Can these be logging.debug instead?
Linking micro-manager/NDStorage#110 |
|
In today's copylot meeting, @AhmetCanSolak showed copylot's Viewer which is faster and less laggy than napari viewer. This can be found here and imported very similarly to napari's. Should we also try this ? |
|
I don't anticipate |
fixes #12
Intended usage
python viewer.py /path/to/dataset, for example,python .\viewer.py "Q:\Ivan\testing\mantis_acquisition_test_12"On the terminal you'll see messages such as
That's OK, that is currently the expected behavior. When viewing the data, you may also occasionally see a "seek of closed file error" (or something like that) - that's OK too, it doesn't cause any problems.
I've tested this viewer with the demo acquisition, and it seems to run well, without disturbing the ongoing acquisition. Will also test on the mantis.
TODO:
subprocess.Popen(["python", "viewer.py", "/path/to/dataset"])