pytorch-image-models
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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
from torchvision.models.feature_extraction import create_feature_extractor import random import seaborn as sns import matplotlib.pyplot as plt return_nodes = ['blocks.0', 'blocks.10', 'blocks.20', 'blocks.23'] feat_ext = create_feature_extractor(model, return_nodes=return_nodes) with torch.no_grad(): out = feat_ext(inps[0]) fig,...
During my use, the training log cannot be written by default, and the output path must be specified. However, this function can be easily realized by changing the setup order...
**Describe the bug** A clear and concise description of what the bug is. tf_efficientnet_b0_ap model was removed in https://github.com/rwightman/pytorch-image-models/commit/6a01101905e78007e5396f5ffdaae0c4725ba72c#diff-27c2bbd967991cbb5264f93cb5da34895fdab02424b2cc8c63d3d0768e65d47aL1833, but is still in doc https://github.com/rwightman/pytorch-image-models/blob/6a01101905e78007e5396f5ffdaae0c4725ba72c/docs/models/advprop.md#how-do-i-use-this-model-on-an-image **To Reproduce** Steps to reproduce...
In models with feature extraction that use FeatureListNet, trying to enable gradient checkpointing results in an error. **To Reproduce** Steps to reproduce the behavior: 1. Start Google Colab 2. Run...
**Is your feature request related to a problem? Please describe.** I am trying to create multiple checkpoints of ViT at different iterations. Are there any systematic way to perform such...
**Is your feature request related to a problem? Please describe.** There is no problem or bug **Describe the solution you'd like** I would like the implementation of BEIT pre-training pipeline...
**Describe the bug** In Version: 0.5.4 for example, dose vit_tiny_patch16_224 means vit_tiny trained from scratch on ImageNet1K? However, in the current Version 0.6, vit_tiny_patch16_224 means vit_tiny pretrained on 21k and...
When creating a model using `timm.create_model(arch, pretrained=True, in_chans=1, num_classes=1)`, single-channel input images can be used with `tf_efficientnet_b2_ns`, but not `efficientnet_b3_pruned`. The pruned models result in the following error: ``` File...
Dear rwightman, thanks for you job. I was going to input a tensor with size (16,3 112,112) to test the MaxxViT small 224 model, but it failed . do you...
Added parameter 'iters_to_accumulate' to perform [gradient accumulation](https://pytorch.org/docs/stable/notes/amp_examples.html#working-with-scaled-gradients) during training.