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Model weights for the GrimACE application — automated scoring of the Mouse Grimace Scale (MGS) from front-camera video, with optional overhead pose tracking.
Source du modèle
Description de la source
Model weights for the GrimACE application — automated scoring of the Mouse Grimace Scale (MGS) from front-camera video, with optional overhead pose tracking.
These are the trained weights that power the GrimACE Recorder app. The application can record from the GrimACE box cameras or process existing video files. See the application and full instructions here:
➡️ (the directory)
Sources
1 sourceVérifié 9 sept.
Artefacts du modèle
5 artefactsgrimace_scorer.pt
Extraits de sources
2 extraits
GrimaceRecorder| File | Purpose | Architecture |
|---|---|---|
frame_quality.pt | Scores how suitable a frame is for grimace scoring (mouse facing the camera, in focus). | MobileNetV3 (1-channel) |
face_cropper.pt | Detects and crops the mouse face from a frame. | YOLO (Ultralytics) |
grimace_scorer.pt | Scores the 5 grimace action units (orbital tightening, nose bulge, cheek bulge, ear position, whisker change). | Vision Transformer (ViT-B/16) |
top_pose_estimator.pt | Pose / keypoint tracking from the overhead (top) camera. | YOLO-Pose (Ultralytics) |
top_pose_estimator_l.pt | Larger pose tracking model. | YOLO-Pose (Ultralytics) |
top_pose_keypoints.txt | Keypoint names for the pose models. | text |
The models expect grayscale input (the GrimACE box uses monochrome cameras); the application converts color video to grayscale automatically.
models/ folder inside GrimaceRecorder:
GrimaceRecorder/
└── models/
├── frame_quality.pt
├── face_cropper.pt
├── grimace_scorer.pt
├── top_pose_estimator.pt
├── top_pose_estimator_l.pt
└── top_pose_keypoints.txt
python main.py.You can download the whole repository with the huggingface_hub library:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="rwitz/GrimACE",
local_dir="GrimaceRecorder/models",
)
The application has an optional Mouse Face Check that rejects detections which aren't actually a
mouse face (lab equipment, cage hardware, reflections). That feature uses a general SigLIP
vision-language model (google/siglip2-so400m-patch16-384), which is downloaded automatically from
Hugging Face the first time the check is enabled — it is not part of this repository.
These models are intended for research on the Mouse Grimace Scale. They were trained on GrimACE-box front-camera footage; performance on footage that differs from that setup (different framing, lighting, or coat color) may be reduced. The application provides adjustable thresholds and a contrast-enhancement option to help adapt to such footage, and saves the chosen frames so results can be reviewed.
Released under the GNU Affero General Public License v3.0 (AGPL-3.0), matching the GrimACE application.
pt · 341 MB · SHA-256 67899fc7b02b…f9a0 · Hugging Face
--- license: agpl-3.0 tags: - computer-vision - mouse - grimace-scale - animal-welfare - neuroscience - pain-assessment - pose-estimation - object-detection - vision-transformer - yolo --- # GrimACE models Model weights for the **GrimACE** application — automated scoring of the **Mouse Grimace Scale (MGS)** from front-camera video, with optional overhead pose tracking. These are the trained weights that power the GrimACE Recorder app. The application can record from the GrimACE box cameras **or process existing video files**. See the application and full instructions here: ➡️ **Application & source:** https://github.com/ryanwitzman/GrimACE (the `GrimaceRecorder` directory) ## Files | File | Purpose | Architecture | |---|---|---| | `frame_quality.pt` | Scores how suitable a frame is for grimace scoring (mouse facing the camera, in focus). | MobileNetV3 (1-channel) | | `face_cropper.pt` | Detects and crops the mouse face from a frame. | YOLO (Ultralytics) | | `grimace_scorer.pt` | Scores the 5 grimace action units (orbital tightening, nose bulge, cheek bulge, ear position, whisker change). | Vision Transformer (ViT-B/16) | | `top_pose_estimator.pt` | Pose / keypoint tracking from the overhead (top) camera. | YOLO-Pose (Ultralytics) | | `top_pose_estimator_l.pt` | Larger pose tracking model. | YOLO-Pose (Ultralytics) | | `top_pose_keypoints.txt` | Keypoint names for the pose models. | text | The models expect **grayscale** input (the GrimACE box uses monochrome cameras); the application converts color video to grayscale automatically. ## How to use 1. Clone / download the GrimACE Recorder application (link above). 2. Download all the files in this repository. 3. Place them in the `models/` folder inside `GrimaceRecorder`: ``` GrimaceRecorder/ └── models/ ├── frame_quality.pt ├── face_cropper.pt ├── grimace_scorer.pt ├── top_pose_estimator.pt ├── top_pose_estimator_l.pt └── top_pose_keypoints.txt ``` 4. Follow the install and usage instructions in the application's README, then run `python main.py`. You can download the whole repository with the `huggingface_hub` library: ```python from huggingface_hub import snapshot_download snapshot_download( repo_id="rwitz/GrimACE", local_dir="GrimaceRecorder/models", ) ``` ### Note: mouse-face verification The application has an optional **Mouse Face Check** that rejects detections whi...
Source context: 0 downloads · 0 likes · Pipeline object-detection · Repo rwitz/GrimACE