FewX
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FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
Could you please provide some instructions?
Thanks for your great works! Can you release the code of CPMask?
Traceback (most recent call last): File "mytest.py", line 253, in model = init() File "mytest.py", line 196, in init predictor = DefaultPredictor(cfg) File "/usr/local/lib/python3.7/dist-packages/detectron2/engine/defaults.py", line 216, in __init__ self.model =...
How to visualize the bounding boxes with scores?
When I add a new class to my training set,I run sh all_sh,There was an error: query_cls = self.support_df.loc[self.support_df['id']==id, 'category_id'].tolist()[0] # they share the same category_id and image_id IndexError: list...
Hi. Training and evaluation were conduct using the model. I'd like to check the bounding box on the image through the test, so could you tell me what to do?...
Hello, why the config in the fine-tuning stage only set the K-shot as 9-shot? The config is as below: _BASE_: "Base-FSOD-C4.yaml" MODEL: WEIGHTS: "./output/fsod/R_50_C4_1x/model_final.pth" MASK_ON: False RESNETS: DEPTH: 50 BACKBONE:...
Thanks for sharing your implementation! Would you also share your code for training on your FSOD dataset? I would like to use your FSOD dataset for my own experiments, but...
Thanks for your inspiring work! I have a question about the trained models your provided. Based on my understanding, the two provided pth files in google drive are trained on...
Dear Qi Fan, This is a great work on few shot learning task! But I found that it seems only FSOD for image object detection is implemented, do you have...