LibreResNet34 Cls

--- license: apache-2.0 library_name: libreyolo pipeline_tag: image-classification tags: - image-classification - resnet - imagenet - libreyolo datasets: - imagenet-1k --- # LibreResNet34-cls ResNet-34 image classifier (224px, ImageNet-1k, 1000 classes), repackaged for [LibreYOLO](https://github.com/LibreYOLO/libreyolo). ~21.8M parameters. ## Source Derived from [huggingface/pytorch-image-models (timm)](https://github.com/huggingface/pytorch-image-models), model `resnet34.a1_in1k` (the "ResNet Strikes Back" A1 recipe, ImageNet-1k). Architecture: He et al. 2015 (https://arxiv.org/abs/1512.03385). Weights by Ross Wightman and the timm contributors. Copyright (c) Ross Wightman. Licensed under the Apache License 2.0. ## Modifications Learned parameters are unchanged from timm. The checkpoint is metadata-wrapped into the LibreYOLO format (model_family / task / nc / names). LibreYOLO's native ResNet (v1.5) mirrors timm/torchvision module names, so inference is bit-identical to timm (max_abs_diff == 0, verified by the parity test). See `weights/convert_resnet_weights.py` in the [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo). ## Usage ```python from libreyolo import LibreYOLO model = LibreYOLO("LibreResNet34-cls.pt") result = model.predict("image.jpg")[0] print(result.probs.top1, result.probs.top5) ``` ## License Apache License 2.0. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in this repository.

Source context: 0 downloads · 0 likes · Pipeline image-classification · Library libreyolo · Repo LibreYOLO/LibreResNet34-cls