{ "_id": "6a5169329b92047c28d50761", "Package": "animl", "Title": "A Collection of ML Tools for Species Detection and\nClassification in Camera Trap Images and Videos", "Version": "3.3.1", "Authors@R": "c(person(given=\"Kyra\", family=\"Swanson\",email=\"tswanson@sdzwa.org\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-1496-3217\")), person(given=\"Mathias\",family=\"Tobler\",role = \"aut\"))", "Description": "Functions required to classify subjects within camera trap\nfield data. The package can handle both images and videos. The\nauthors recommend a two-step approach using Microsoft's\n'MegaDector' model and then a second model trained on the\nclasses of interest.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "SystemRequirements": "Python (>= 3.12), animl-py", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.0.0", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-10 21:47:38 UTC", "User": "root" }, "Author": "Kyra Swanson [aut, cre] (ORCID:\n), Mathias Tobler [aut]", "Maintainer": "Kyra Swanson ", "Config/pak/sysreqs": "python3", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-07-10 18:10:02 UTC", "RemoteUrl": "https://github.com/cran/animl", "RemoteRef": "HEAD", "RemoteSha": "e0897679289d3904583fab55c420613ac4715df5", "_user": "cran", "_type": "src", "_file": "animl_3.3.1.tar.gz", "_fileid": "https://r2.ropensci.org/bb2f0af102796fd672e6d9710d86596445a64f0d89dd1dab5fc4382ed6ce6482", "_filesize": 207504, "_sha256": 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3.3.1\n", "time": 1783707002 }, "_maintainer": { "name": "Kyra Swanson", "email": "tswanson@sdzwa.org", "orcid": "0000-0002-1496-3217" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "methods", "role": "Imports" }, { "package": "pbapply", "role": "Imports" }, { "package": "reticulate", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "jsonlite", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "withr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-06", "n": 1 }, { "week": "2026-25", "n": 1 }, { "week": "2026-28", "n": 1 } ], "_tags": [ { "name": "3.2.0", "date": "2026-02-04" }, { "name": "3.3.0", "date": "2026-06-16" }, { "name": "3.3.1", "date": "2026-07-10" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 617, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 490, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/animl" }, "_searchresults": 9, "_rbuild": "4.6.1", "_assets": [ "extra/animl.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2022-03-23" }, { "version": "1.1.0", "date": "2023-05-13" }, { "version": "2.0.0", "date": "2025-02-11" }, { "version": "3.2.0", "date": "2026-02-04" }, { "version": "3.3.0", "date": "2026-06-16" }, { "version": "3.3.1", "date": "2026-07-10" } ], "_exports": [ "active_times", "animl_install", "animl_install_instructions", "build_file_manifest", "check_animl_py", "check_python", "classify", "compute_batched_distance_matrix", 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"animl_install", "title": "Load animl-py if available", "topics": [ "animl_install" ] }, { "page": "animl_install_instructions", "title": "Installation Instructions for animl-r Python dependencies", "topics": [ "animl_install_instructions" ] }, { "page": "build_file_manifest", "title": "File Management Module", "topics": [ "build_file_manifest" ] }, { "page": "check_animl_py", "title": "Check if animl-py can connect to exiftool and CUDA", "topics": [ "check_animl_py" ] }, { "page": "check_file", "title": "Check for files existence and prompt user if they want to load", "topics": [ "check_file" ] }, { "page": "check_python", "title": "Check that the python version is compatible with the current version of animl-py", "topics": [ "check_python" ] }, { "page": "classify", "title": "Infer Species for Given Detections", "topics": [ "classify" ] }, { "page": "compute_batched_distance_matrix", "title": "Computes the distance matrix in a batched manner to save memory.", "topics": [ "compute_batched_distance_matrix" ] }, { "page": "compute_distance_matrix", "title": "A wrapper function for computing distance matrix.", "topics": [ "compute_distance_matrix" ] }, { "page": "cosine_distance", "title": "Computes cosine distance of two sets of matrices", "topics": [ "cosine_distance" ] }, { "page": "create_pyenv", "title": "Install python if necessary and create the environment animl_env", "topics": [ "create_pyenv" ] }, { "page": "delete_pyenv", "title": "Delete the animl_env environment", "topics": [ "delete_pyenv" ] }, { "page": "detect", "title": "Apply MegaDetector to a Given Batch of Images", "topics": [ "detect" ] }, { "page": "download_model", "title": "Download specified model to the given directory.", "topics": [ "download_model" ] }, { "page": "euclidean_squared_distance", "title": "Computes euclidean squared distance of two sets of matrices", "topics": [ "euclidean_squared_distance" ] }, { "page": "export_camptrapdp", "title": "Export a manifest to camtrapdp format", "topics": [ "export_camptrapdp" ] }, { "page": "export_camtrapR", "title": "Export data into sorted folders organized by station", "topics": [ "export_camtrapR" ] }, { "page": "export_coco", "title": "Converts the .csv file to a COCO-formatted .json file.", "topics": [ "export_coco" ] }, { "page": "export_folders", "title": "Create SymLink Directories and Sort Classified Images", "topics": [ "export_folders" ] }, { "page": "export_megadetector", "title": "Converts the .csv file to the MD-formatted .json file.", "topics": [ "export_megadetector" ] }, { "page": "export_timelapse", "title": "Converts the Manifests to a csv file that contains columns needed for TimeLapse conversion in later step", "topics": [ "export_timelapse" ] }, { "page": "export_train_val_test", "title": "Splits the manifest into training validation and test datasets for training", "topics": [ "export_train_val_test" ] }, { "page": "export_yolo", "title": "Export a manifest to YOLO format for model training", "topics": [ "export_yolo" ] }, { "page": "extract_frames", "title": "Extract frames from video for classification", "topics": [ "extract_frames" ] }, { "page": "extract_major_minor", "title": "Compare to Animl-Py version, ignoring patch number", "topics": [ "extract_major_minor" ] }, { "page": "extract_miew_embeddings", "title": "Extract Embeddings from MiewID", "topics": [ "extract_miew_embeddings" ] }, { "page": "get_animals", "title": "Return a dataframe of only MD animals", "topics": [ "get_animals" ] }, { "page": "get_empty", "title": "Return MD empty, vehicle and human images in a dataframe", "topics": [ "get_empty" ] }, { "page": "get_frame_as_image", "title": "Given a video path, return a specific frame as an RGB image", "topics": [ "get_frame_as_image" ] }, { "page": "list_models", "title": "List available models for download.", "topics": [ "list_models" ] }, { "page": "load_animl", "title": "Load animl-py if available", "topics": [ "load_animl" ] }, { "page": 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