| classifyImageMD | Run MD on a single image |
| classifyImagesBatchMD | Run MegaDetector on a batch of images |
| classifySequence | Leverage sequences to classify images |
| classifyVideo | Select Best Classification From Multiple Frames |
| convertMDresults | Convert the MD output into a data frame |
| convertMDResultsSimple | Quickly flatten output from MegaDetector |
| decode_img_full | Load image with TF, full size for MD |
| decode_img_resize | Load image with TF 35722 and resize for MD |
| extractAllBoxes | Extract bounding boxes and save as new image from a batch of images |
| extractAllBoxesFromFlat | Extract ,cropped images from a processed dataframe |
| extractBoxes | Extract bounding boxes for a single image and save as new images |
| extractBoxesFromFlat | Extract crops from a single image represented by a processed dataframe |
| extractFiles | Extract exif data and create dataframe, adjust time if necessary. |
| imagesFromVideos | Extract frames from video for classification |
| loadMDModel | Title |
| multispecies | Classify images with multiple potential species |
| parseMDjson | parse MD JSON results file |
| parseMDsimple | parse MD JSON results file into a simple dataframe |
| plotBoxes | Plot bounding boxes on image from md results |
| plotBoxesFromFlat | Plot bounding boxes from MD flat data frame |
| resize_pad | Resize an image with padding |