binary_colormap | Binary segmentation color map. |
binary_labels | Binary segmentation labels. |
box_jaccard_distance | Calculates Jaccard distance between two boxes. |
calculate_iou | Calculates boxes IoU. |
check_boxes_intersect | Checks if two bounding boxes intersect. |
clean_boxes | Transform list of bounding boxes into a 'data.frame'. |
coco_anchors | COCO dataset anchors. |
coco_labels | COCO dataset labels. |
correct_boxes | Rescales boxes. |
create_boxes_ggplot | Generates raster image with bounding boxes. |
create_images_masks_paths | Generates images/masks path from selected configuration. |
create_plot_data | Transforms pixel 'array' into 'data.frame' with raster data. |
create_segmentation_map_ggplot | Generates raster image with segmentation masks. |
custom_fit_generator | Fits model using data generator. |
custom_predict_generator | Calculates predictions on new samples using data generator. |
darknet53 | Creates a Darknet53 architecture. |
darknet53_conv2d | Creates a convolutional Darknet53 unit. |
darknet53_residual_block | Creates a residual Darknet53 block. |
dice_coeff | Function for calculating dice coefficient. |
find_anchors_and_grids_for_true_boxes | Finds best anchors and output grid coordinates for true... |
generate_anchors | Calculates anchor boxes using k-mean++ algorithm. |
generate_empty_grid | Creates empty output 'Yolo3' grid. |
get_boxes | Transforms 'Yolo3' predictions into valid boxes. |
get_masks | Transforms 'U-Net' predictions into valid segmentation map. |
get_max_boxes_iou | Compares boxes by IoU. |
get_true_boxes_from_annotations | Calculates true bounding box coordinates from annotations. |
initialize_anchors | Calculates initial anchor boxes for k-mean++ algorithm. |
intersection_over_union | Calculates 'Intersection-Over-Union' for two bounding boxes. |
load_darknet_weights | Loads 'Yolo3 Darknet' (https://pjreddie.com/darknet/yolo/)... |
logit | Logit. |
loss_dice | Dice loss. |
metric_dice_coeff | Dice coefficient metric. |
non_max_suppression | Applies 'Non-Maximum-Suppression' for a list of bounding... |
plot_boxes | Generates raster images with bounding boxes. |
plot_masks | Generates raster images with segmentation masks. |
plot_raster | Generates raster image. |
read_annotations_from_labelme | Reads bounding box annotations from JSON files. Each XML has... |
read_annotations_from_xml | Reads bounding box annotations from XML files. Each XML has... |
read_images_from_directory | Reads images from directory. |
segmentation_generator | Generates batches of data (images and masks). The data will... |
sigmoid | Sigmoid. |
split_masks_into_binary | Splits multi-class mask into binary masks. |
transform_boxes | Transforms 'Yolo3' predictions into valid box... |
transform_boxes_for_grid | Transforms 'Yolo3' predictions into valid box... |
transform_boxes_tf | Transforms 'Yolo3' predictions into valid box... |
transform_box_to_min_max | Transforms boxes to min/max coordinates. |
u_net | Creates a U-Net architecture. |
u_net_double_conv2d | Creates a double convolutional U-Net block. |
unite_binary_masks | Unites binary masks into multi-class mask. |
voc_colormap | 'VOC' dataset segmentation color map. |
voc_labels | 'VOC' dataset labels. |
yolo3 | Creates a Yolo3 architecture. |
yolo3_conv2d | Creates a convolutional Yolo3 unit. |
yolo3_generator | Generates batches of data (images and box... |
yolo3_grid_iou | Calculates IoU metric for one 'Yolo3' grid. |
yolo3_grid_loss | Calculates loss for one 'Yolo3' grid. |
yolo3_loss | Generates 'Yolo3' loss function. |
yolo3_metrics | Generates 'Yolo3' IoU metric function. |
yolo3_output | Creates Yolo3 output grid. |
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