Basically I have DataFrame with a huge amount of boxes which are defined with xmin ymin xmax ymax tuples. My task is to remove all nested boxes. (I.e. any box which is within another box has to be removed) My current method: construct GeoDataFrame with box geometry sort by box size (descending) iteratively find smaller boxes within a larger box.
Tag: bounding-box
ValueError: Expected x_max for bbox (0.65, 0.51, 1.12, 0.64, 3) to be in the range [0.0, 1.0], got 1.1234809015877545
I want to apply data augmentations from PyTorch’s Albumentations to images with bounding boxes. When I apply the HorizontalFlip Transformation, I receive this error ValueError: Expected x_max for bbox (0.6505353259854019, 0.517013871576637, 1.1234809015877545, 0.6447916687466204, 3) to be in the range [0.0, 1.0], got 1.1234809015877545. I use the following code When I apply the Cutout transformation, I do not have any error
Get the bounding box coordinates in the TensorFlow object detection API tutorial
I am new to both Python and Tensorflow. I am trying to run the object detection tutorial file from the Tensorflow Object Detection API, but I cannot find where I can get the coordinates of the bounding boxes when objects are detected. Relevant code: The place where I assume bounding boxes are drawn is like this: I tried printing output_dict[‘detection_boxes’]