Minor fixes, typo edits, and other cleanups

dlclibrary/__init__.py

@@ -9,5 +9,5 @@
 # Licensed under GNU Lesser General Public License v3.0
 #
 
-from dlclibrary.dlcmodelzoo.modelzoo_download import download_hugginface_model
+from dlclibrary.dlcmodelzoo.modelzoo_download import download_huggingface_model
 from dlclibrary.version import __version__, VERSION

dlclibrary/dlcmodelzoo/modelzoo_download.py

@@ -18,7 +18,7 @@
     "mouse_pupil_vclose",
     "horse_sideview",
     "full_macaque",
-    "superanimal_mouse",
+    "superanimal_mouse_topview",
 ]
 
 
@@ -29,83 +29,59 @@ def _get_dlclibrary_path():
     return os.path.split(importlib.util.find_spec("dlclibrary").origin)[0]
 
 
-def _loadmodelnames():
-    """Loads URLs and commit hashes for available models."""
+def _load_model_names():
+    """Load URLs and commit hashes for available models."""
     from ruamel.yaml import YAML
 
     fn = os.path.join(_get_dlclibrary_path(), "modelzoo_urls.yaml")
     with open(fn) as file:
         return YAML().load(file)
 
 
-def download_huggingface_model(modelname, target_dir=".", removeHFfolder=True):
+def download_huggingface_model(modelname, target_dir=".", remove_hf_folder=True):
     """
-    Downloads a DeepLabCut Model Zoo Project from Hugging Face
+    Download a DeepLabCut Model Zoo Project from Hugging Face
 
     Parameters
     ----------
     modelname : string
         Name of the ModelZoo model. For visualizations see: http://www.mackenziemathislab.org/dlc-modelzoo
     target_dir : directory (as string)
-        Directory where to store the model weigths and pose_cfg.yaml file
-    removeHFfolder : bool, default True
+        Directory where to store the model weights and pose_cfg.yaml file
+    remove_hf_folder : bool, default True
         Whether to remove the directory structure provided by HuggingFace after downloading and decompressing data into DeepLabCut format.
     """
     from huggingface_hub import hf_hub_download
-    import tarfile, os
+    import tarfile
     from pathlib import Path
 
-    neturls = _loadmodelnames()
+    neturls = _load_model_names()
+    if modelname not in neturls:
+        raise ValueError(f"`modelname` should be one of: {', '.join(modelname)}.")
 
-    if modelname in neturls.keys():
-        print("Loading....", modelname)
-        url = neturls[modelname].split("/")
-        repo_id, targzfn = url[0] + "/" + url[1], str(url[-1])
+    print("Loading....", modelname)
+    url = neturls[modelname].split("/")
+    repo_id, targzfn = url[0] + "/" + url[1], str(url[-1])
 
-        hf_hub_download(repo_id, targzfn, cache_dir=str(target_dir))
-        # creates a new subfolder as indicated below, unzipping from there and deleting this folder
+    hf_hub_download(repo_id, targzfn, cache_dir=str(target_dir))
 
-        # Building the HuggingFaceHub download path:
-        hf_path = (
-            "models--"
-            + url[0]
-            + "--"
-            + url[1]
-            + "/snapshots/"
-            + str(neturls[modelname + "_commit"])
-            + "/"
-            + targzfn
-        )
+    # Create a new subfolder as indicated below, unzipping from there and deleting this folder
+    hf_folder = f"models--{url[0]}--{url[1]}"
+    hf_path = os.path.join(
+        hf_folder,
+        "snapshots",
+        str(neturls[modelname + "_commit"]),
+        targzfn,
+    )
 
-        filename = os.path.join(target_dir, hf_path)
-        with tarfile.open(filename, mode="r:gz") as tar:
-            for member in tar:
-                if not member.isdir():
-                    fname = Path(member.name).name  # getting the filename
-                    tar.makefile(member, target_dir + "/" + fname)
-                    # tar.extractall(target_dir, members=tarfilenamecutting(tar))
+    filename = os.path.join(target_dir, hf_path)
+    with tarfile.open(filename, mode="r:gz") as tar:
+        for member in tar:
+            if not member.isdir():
+                fname = Path(member.name).name
+                tar.makefile(member, os.path.join(target_dir, fname))
 
-        if removeHFfolder:
-            # Removing folder
-            import shutil
+    if remove_hf_folder:
+        import shutil
 
-            shutil.rmtree(
-                Path(os.path.join(target_dir, "models--" + url[0] + "--" + url[1]))
-            )
-
-    else:
-        models = [fn for fn in neturls.keys()]
-        print("Model does not exist: ", modelname)
-        print("Pick one of the following: ", MODELOPTIONS)
-
-
-if __name__ == "__main__":
-    print("Randomly downloading a model for testing...")
-
-    import random
-
-    # modelname = 'full_cat'
-    modelname = random.choice(MODELOPTIONS)
-
-    target_dir = "/Users/alex/Downloads"  # folder has to exist!
-    download_hugginface_model(modelname, target_dir)
+        shutil.rmtree(os.path.join(target_dir, hf_folder))

dlclibrary/modelzoo_urls.yaml

@@ -31,5 +31,5 @@ horse_sideview_commit: fd0329b2ffc8fe7a5e6eb3d4850ebca75987e92c
 full_macaque: mwmathis/DeepLabCutModelZoo-macaque_full/DLC_macaque_full_resnet50.tar.gz
 full_macaque_commit: 4c7ebf2628d5b7eb0483356595256fb01b7e1a9e
 
-superanimal_mouse: mwmathis/DeepLabCutModelZoo-SuperAnimal-TopViewMouse/DLC_ma_supertopview5k_resnet_50_iteration-0_shuffle-1.tar.gz
-superanimal_mouse_commit: a7d7df40c3307a3c7a0ceeb2593d46a783235b28
+superanimal_mouse_topview: mwmathis/DeepLabCutModelZoo-SuperAnimal-TopViewMouse/DLC_ma_supertopview5k_resnet_50_iteration-0_shuffle-1.tar.gz
+superanimal_mouse_topview_commit: a7d7df40c3307a3c7a0ceeb2593d46a783235b28

tests/test_modeldownload.py

@@ -8,15 +8,21 @@
 #
 # Licensed under GNU Lesser General Public License v3.0
 #
+import dlclibrary
+import os
 import pytest
 
 
-def test_catdownload(tmp_path_factory):
-    # TODO: just download the lightweight stuff..
-    import dlclibrary, os
-
+def test_download_huggingface_model(tmp_path_factory):
     folder = tmp_path_factory.mktemp("cat")
     dlclibrary.download_huggingface_model("full_cat", str(folder))
 
     assert os.path.exists(folder / "pose_cfg.yaml")
     assert os.path.exists(folder / "snapshot-75000.meta")
+    # Verify that the Hugging Face folder was removed
+    assert not any(f.startswith("models--") for f in os.listdir(folder))
+
+
+def test_download_huggingface_wrong_model():
+    with pytest.raises(ValueError):
+        dlclibrary.download_huggingface_model("wrong_model_name")