Comments (2)
Thanks for your interest in our work.
We bulid our detector based on Detectron2, please refer to https://detectron2.readthedocs.io/en/latest/tutorials/datasets.html for training / fine-tuning on your custom datasets.
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I believe the issue at hand was addressed, as such I'm closing this. Feel free to ask if you have further questions.
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Related Issues (20)
- CUDA out of memory when inference
- whether the training of EVA involves masking text (caption) token? HOT 1
- Robust accuracy on ObjectNet dataset.
- Is there any plan to use lora for finetune eva_clip? HOT 1
- How to use EVA-02 detection models for inference?
- [EVA-CLIP]Β Are you sure about your way to compute probabilities? HOT 1
- Why are the model weights saved at each epoch the same when using DeepSpeed? HOT 1
- Can EVA-CLIP-8B and EVA-CLIP-18B support quantization? HOT 6
- ```EVA-CLIP-18B``` weight is not available at HuggingFace HOT 2
- Is there any reason why you didn't use the EVA02 architecture for EVA-CLIP models larger than 4B? HOT 1
- different weight decay between code and paper for clip 18b HOT 1
- Any plans for releasing model weights of COCO-Stuff trained segmentation models with EVA-02 backbones
- EVA CLIP 8B GPU out of memory in COLAB PRO Hugging face version HOT 1
- can remove xformers dependency? HOT 1
- Issues about the performance of vanilla EVA-02-S
- Dockerfile error
- How much GPU does EVA-CLIP-8B-plus need?
- Where is EVA G? HOT 3
- Size 14x14 to 16x16 patch interpolation for smaller EVA 2 models HOT 2
- Chinese ability of EVA-CLIP-18B
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