Comments (5)
Thanks, I have found it in readme.
shwoo93
/MinkowskiEngine
from convnext-v2.
Hi ,I'm sorry to bother you. But,may I ask,can you please tell me how you solved this problem, I didn't find the solution to the problem in question inside the link you provided, thanks.
from convnext-v2.
Hi ,I'm sorry to bother you. But,may I ask,can you please tell me how you solved this problem, I didn't find the solution to the problem in question inside the link you provided, thanks.
https://github.com/shwoo93/MinkowskiEngine/tree/bbc30ef581ea6deb505976b663f5fc2358a83749
This is version of MinkowskiEngine with MinkowskiDepthwiseConvolution. You install the MinkowskiEngine via this version.
from convnext-v2.
Hi ,I'm sorry to bother you. But,may I ask,can you please tell me how you solved this problem, I didn't find the solution to the problem in question inside the link you provided, thanks.
There tell you how to install it https://github.com/shwoo93/MinkowskiEngine/tree/bbc30ef581ea6deb505976b663f5fc2358a83749?tab=readme-ov-file#pip
from convnext-v2.
from convnext-v2.
Related Issues (20)
- unable to install apex HOT 2
- On masking input images HOT 1
- Make image and patch sizes dynamic
- Adapting ConvNetV2 for Time Series: Inconsistencies between Pre-training Visuals and Fine-Tuning Performance HOT 1
- could you share the dense masked conv based sparse encoding ? HOT 2
- ImageNet-1K pre-trained weights ConvNeXt V2 supervised HOT 1
- GRN can be used on any convent with FCMAE ?anyone tried this ?
- Cannot install MinkowskiEngine with provided instructions HOT 2
- Weights trained using pre-training script produce NaN values when running fine-tuning script
- Pre-trained weights incompatible with backbone HOT 2
- deployment issue in trt fp16
- Onnx Export HOT 1
- [Question] Cosine Similarity
- Finetuning with limited Labels ?
- ImageNet 22k(21k) Traning loss at the end of training
- Why not provide 22k-supervised finetuning model??? I am really shocked by that every available ConvNeXt-V2 pre-training weights has been finetuned on imagenet-1k. Please make 22k-supervised ConvNeXt-V2 open just like ConvNeXt-V1 !!!!!! 🙏🙏🙏 HOT 1
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- downsample_layer model order
- Colab Implementation
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from convnext-v2.