DeepForest Change Log¶
If there was more than one class, the precision in the class_recall.csv was computed incorrectly.
Update to project_boxes to include an output for predict_tile and predict_image, the function was split into two. annotations_to_shapefile reverses shapefile_to_annotations. Thanks to @sdtaylor for this contribution.
1. Empty frames are now allowed by passing annotations with 0’s for all coords. A single row for each blank image.
image_path, 0,0,0,0, “Tree”
2. A check_release function was implemented to reduce github rate limit issues. on use_release(), the local model will be used if check_release = False
Minor update to improve windows users default dtype, thanks to @ElliotSalisbury
Major update to replace tensorflow backend with pytorch.
#0.1.30 Bug fixes to allow learning rate monitoring and decay on val_classification_loss
#0.1.34 Profiled the dataset and evaluation code for performance. Evaluation should be much faster now.