Object Detection
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Here is a list of all namespace members with links to the namespace documentation for each member:
- c -
change_annotation_labels() :
remap_classids
class_counts :
count_labels
coco_json_path :
coco_mask
,
coco_txt
coco_to_seg_txt() :
coco_txt
colored_mask :
get_masks
conf :
testing
convert_bbox_to_segmentation() :
bbox_seg
copy_directory_files() :
copy_files
copy_files() :
training
copy_files_with_class_ids() :
copy_labels
copy_markdown_lines() :
copy_readme
copy_matching_files() :
copy_files
count_class_ids() :
count_labels
custom_colors :
get_masks
- d -
delete_320x240_images() :
delete_images
delete_random_short_basename_images() :
delete_images
destination_dir :
copy_files
destination_directory :
training
dir1 :
copy_files
dir2 :
copy_files
- e -
extract_colored_class_masks() :
get_masks
- f -
file_path :
get_masks
,
testing
folder_path :
get_masks
- g -
generate_filled_masks() :
coco_mask
generate_synthetic_object_annotations() :
create_annotations
get_unique_filename() :
separate_dataset
- i -
ignore_errors :
copy_labels
image_dir :
coco_mask
,
rename_files
,
separate_dataset
,
testing
image_directory :
delete_images
image_name :
get_masks
img_dir :
copy_labels
imgsz :
testing
input_directory :
resize
- l -
label_directory :
bbox_seg
,
count_labels
,
delete_images
load_annotations() :
visual_annotations
- m -
main() :
create_annotations
,
visual_annotations
max_per_group :
rename_files
merge_annotations() :
create_annotations
model :
get_masks
,
testing
,
training
model_path :
get_masks
,
testing
- n -
normal_resize_images() :
resize
- o -
output_dir :
coco_txt
,
copy_labels
,
get_masks
output_directory :
bbox_seg
,
remap_classids
,
resize
output_mask_dir :
coco_mask
- p -
prefix_length :
rename_files
process_directory() :
create_annotations
process_image() :
create_annotations
process_multi_class_mask() :
create_annotations
- r -
remove_unmatched_txt() :
delete_images
rename_files_by_prefix() :
rename_files
resize_images_letterbox() :
resize
resize_letterbox() :
resize
results :
get_masks
,
training
- s -
save :
testing
smooth_mask() :
create_annotations
source_directory :
training
source_file :
copy_readme
split_dataset() :
separate_dataset
- t -
target_file :
copy_readme
thin_mask() :
create_annotations
True :
testing
txt_dir :
copy_labels
- v -
val_ratio :
separate_dataset
verify_dataset() :
visual_annotations
visualize_annotations() :
visual_annotations
- w -
write_yolo_annotations() :
create_annotations
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