| license: agpl-3.0 | |
| library_name: onnx | |
| tags: | |
| - onnx | |
| - computer-vision | |
| - yolo | |
| - object-detection | |
| - image-segmentation | |
| - image-classification | |
| - pose-estimation | |
| - oriented-object-detection | |
| - neuromodflownet | |
| # NeuroModFlowNet.ONNX Prepared Models | |
| Prepared ONNX model artifacts for NeuroModFlowNet.ONNX. | |
| These files are generated artifacts. They are not covered by the Apache-2.0 license of the NeuroModFlowNet.ONNX source code repository unless explicitly stated. | |
| See `models.manifest.json` for file paths, sizes and SHA256 hashes. | |
| ## Model License | |
| The model weights are provided under AGPL-3.0, consistent with the Ultralytics YOLO licensing terms. | |
| The author provides these weights "as is", without warranty. | |
| Users are responsible for ensuring that their use complies with the licenses of: | |
| - Ultralytics YOLO; | |
| - the base/pretrained model, if any; | |
| - the training dataset; | |
| - any deployment/runtime libraries. | |