| Omatrack telemetry reader 1.0.0 |
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| Upstream component: PyTorch Image Models (timm), MobileNetV3-small |
| Copyright 2019 Ross Wightman |
| Licensed under the Apache License, Version 2.0. |
| Full upstream license: LICENSE-APACHE-2.0-UPSTREAM.txt |
| Source: https://github.com/huggingface/pytorch-image-models |
| Pretrained model: https://huggingface.co/timm/mobilenetv3_small_100.lamb_in1k |
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| Modification notice: this is not the original ImageNet classifier. The model |
| retains the pretrained stem and early backbone blocks, adds a crop encoder, |
| digit/CTC, visible-fill and digit-count heads, fine-tunes for gauge reading, |
| and exports the resulting task model to ONNX. No new training was performed |
| for this publication. Private training data and original checkpoints are not |
| included. |
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| Omatrack-derived example source code |
| Copyright (c) 2026 Omatrack contributors |
| MIT License: LICENSE-MIT-OMATRACK-CODE.txt |
| The read_frame.py and test_read_frame.py examples adapt the public Omatrack |
| reader conventions and contain no private image or recording fixtures. |
| Source: https://github.com/tobi/omatrack |
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| The license for the new task-specific model weights has not yet been assigned. |
| The upstream Apache-2.0 and example-code MIT notices are scoped to their |
| respective components; neither is a blanket license grant for the new model. |
| No rights to private footage, screenshots, labels or datasets are granted. |
| Third-party names identify compatibility/provenance, not endorsement. |
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