| --- |
| license: bsd-3-clause |
| library_name: libreyolo |
| pipeline_tag: image-classification |
| datasets: |
| - imagenet-1k |
| tags: |
| - image-classification |
| - alexnet |
| - torchvision |
| - imagenet |
| - libreyolo |
| --- |
| |
| # LibreAlexNetb-cls |
|
|
| AlexNet image classification weights repackaged for LibreYOLO. This is |
| torchvision's single-tower, 64-channel-stem variant: no local response |
| normalization and no grouped convolutions. It is not the two-GPU 2012 graph. |
|
|
| ```python |
| from libreyolo import LibreYOLO |
| |
| model = LibreYOLO("LibreAlexNetb-cls.pt") |
| result = model.predict("image.jpg") |
| print(result.probs.top1, result.probs.top5) |
| ``` |
|
|
| ## Source |
|
|
| Derived from [pytorch/vision](https://github.com/pytorch/vision) at commit |
| [`336d36e8db990a905498c73933e35231876e28bc`](https://github.com/pytorch/vision/commit/336d36e8db990a905498c73933e35231876e28bc). |
| Copyright (c) Soumith Chintala 2016 and torchvision contributors. The source |
| implementation is BSD-3-Clause. |
|
|
| Official checkpoint: [alexnet-owt-7be5be79.pth](https://download.pytorch.org/models/alexnet-owt-7be5be79.pth) |
| Official checkpoint SHA-256: `7be5be791159472b1fbf3c69796f7cb30dca7ad8466c2df70058c37116cdee02` |
| Official checkpoint bytes: `244408911` |
| Published ImageNet-1K accuracy: 56.522% top-1, 79.066% top-5. |
|
|
| ## Modifications |
|
|
| LibreYOLO metadata and the canonical filename were added. Learned tensors and |
| state-dict keys are unchanged. The native graph strict-loads the official state |
| dict and produces bit-identical logits (`max_abs_diff == 0.0`). |
|
|
| Converted checkpoint SHA-256: `95f6996b7b4c5526e7e47ad99cf78b2a3643baa3ba1d4107ab840a05e73d1f5e` |
| Converted checkpoint bytes: `244431825`. |
|
|
| The converter and parity tests are in the |
| [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo). |
|
|
| ## License |
|
|
| The checkpoint publisher did not attach a separate per-object license file. |
| This mirror applies the releasing project's BSD-3-Clause license on an |
| **implied**, not publisher-confirmed, basis. Torchvision warns that pretrained |
| models may have their own licenses or terms derived from training data and |
| that users must determine whether they have permission for their use case. |
| The weights were trained on ImageNet-1K; ImageNet's dataset and image-source |
| terms remain the downstream user's responsibility. See [`LICENSE`](./LICENSE) |
| and [`NOTICE`](./NOTICE). |
|
|
