detectree2
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PatBall1
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
Annoying small polygons seem to be produce as an artefact of converting the mask to a polygon. Some area based filtering has already been applied but this is not ideal...
Additional training on varied landscapes will produce more transferable model
Hello, I would like to include four locations for training my model. #### Error Here is the error code: ``` Traceback (most recent call last): File "driver.py", line 75, in...
It needs to only create an output directory when training is being done - not necessary for landscape level predictions
Hi there, am trying to stitch predictions together and am getting the following error: ValueError: Cannot determine common CRS for concatenation inputs, got ['WGS 84 / UTM zone 30N', 'WGS...
Invalid polygon geometries can cause errors in evaluation
Would Record class be better implemented as a dataclass?
Does testing look at all test data when this has [0]?? https://github.com/PatBall1/detectree2/blob/08851c8d5e30cd178836a30311ee95ccb0bb7b44/detectree2/models/train.py#L149
Upgrade system so that multiple classes can be predicted rather than the simple single class delineation ('tree')