--- license: apache-2.0 pipeline_tag: image-classification tags: - ram-plus - recognize-tags - robotics - IB-Robot - ascend - edge-deployment base_model: - xinyu1205/recognize-anything-plus-model --- # Model Card for RAM++ Swin-Large-14M (IB-Robot) Recognize Anything Model Plus (RAM++) with Swin-Large backbone, packaged for the [IB-Robot](https://gitcode.com/openeuler/IB_Robot) framework. Recognizes semantic tags from images for robotic scene understanding. ## Repository Structure - `inference_manifest.json` — deployment routing (schema v3) - `assets/` — adapter config, torch weights (`.pth`), tag vocabulary (4585 classes), BERT tokenizer - `artifacts/ascend_310b/` — Ascend 310B1 OM (fp16) - `artifacts/ascend_310p/` — Ascend 310P1 OM ## Deployment Backends | Target | Backend | Runtime | Hardware | |--------|---------|---------|----------| | `ascend_310b` | ascend | ACL | Ascend 310B1 | | `ascend_310p` | ascend | ACL | Ascend 310P1 | | `torch_cpu` | torch | PyTorch | CPU | | `torch_cuda` | torch | PyTorch | NVIDIA GPU | **Input:** `observation.image` float32 [1,3,384,384] NCHW **Output:** `tag_logits` float32 [1,4585] (4585-class multi-label classification) ## Source Model This bundle's torch weights (`ram_plus_swin_large_14m.pth`) are downloaded from the upstream RAM++ model: - **Model weights (HuggingFace):** [xinyu1205/recognize-anything-plus-model](https://huggingface.co/xinyu1205/recognize-anything-plus-model) - **Source code (GitHub):** [github.com/xinyu1205/recognize-anything](https://github.com/xinyu1205/recognize-anything) The Ascend OM artifacts were converted from these torch weights. See `scripts/download_perception_models.sh` for the download procedure. ## Citation @inproceedings{ram_plus, title = {Recognize Anything: A Strong Image Tagging Model}, author = {Zhang, Xinyu and Huang, Ziyu and Shen, Jun and Li, Zongtao and Zhao, Wen-Jun and Wang, Sheng and Sun, Yifan}, booktitle = {arXiv preprint arXiv:2306.03514}, year = {2023} } @software{ib_robot, title = {IB-Robot: Intelligence Boom Robot}, url = {https://gitcode.com/openeuler/IB_Robot}, license = {Apache-2.0} }