Comments (1)
Thank you for bringing attention to the error message regarding the missing CLIP .bin weights. The requirement for this weights is indeed mentioned in our training documentation at TRAIN
Understanding that not everyone will need to train the model, I have now updated our installation instructions to include this prompt. You can find the revised instructions at INSTALL
Alternatively, you can use the wget -P projects/GLEE/clip_vit_base_patch32/ https://huggingface.co/spaces/Junfeng5/GLEE_demo/resolve/main/GLEE/clip_vit_base_patch32/pytorch_model.bin
command to solve this problem.
Thanks for your reminder.
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Related Issues (20)
- Would it be possible to open up the source code of the inference script instead of the gradio script? HOT 8
- The training code HOT 7
- 关于训练中数据采样的问题? HOT 1
- 跨图检测 HOT 1
- COCO performance after finetuning HOT 1
- DETRs with Hybrid Matching HOT 1
- Detail about object detection decoder.
- Open Source the test code and weight files about TAO dataset
- Tutorial for Zero-shot Testing or Fine-tuning GLEE on New Datasets HOT 1
- No module named 'projects.GLEE' HOT 2
- Failure cases
- How to run the demo locally and correctly? HOT 4
- What is the size of the model's parameter count?
- 是否能像SAM或CLIP那样直接调用
- Hugging Face demo not runnig HOT 2
- too many values to unpack (expected 2)
- speed
- RVOS inference code HOT 1
- 关于coco指标复现的问题 HOT 2
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