ducminhkhoi / ifs-rcnn Goto Github PK

Hi @ducminhkhoi , can you please let me know where exactly the loss is calculated in Equation 1?. I am checking through file in (iFSCRCNN-> modeling -> roi_heads -> fastrcnn.py), but I didn't get any variance matrix for classifier weights that mentioned in equation.

Hi @ducminhkhoi ,

In the base training stage of train.sh, there is no shot number. It is different in the paper's experiment, as I read there are 1,5,10 shots in the bases classes training (Table 2).
Do you train on 1,5,10 shots for bases classes, or you train without considering "shot" for base classes?

arch=50 
network=mask_rcnn 
num_gpus=8

dataset=coco
detection_folder=${dataset^^}-detection


# standard softmax Mask-RCNN
suffix=''
python3 -m tools.train_net --num-gpus $num_gpus --config-file configs/${detection_folder}/${network}/${network}_R_${arch}_FPN_base${suffix}.yaml

Thank you.

Hello @ducminhkhoi,

Firstly, thank you for your great work!!

Could you you provide the pre-trained model(weights) for "configs/COCO-detection/mask_rcnn/mask_rcnn_R_50_FPN_base.yaml" as well??

I want to do only fine-tuning on my custom data (as novel classes) so it will be very helpful if you can provide pre-trained weights(probably, model_final.pth) which trained on COCO base classes.

Thank you in advance..

Hi @ducminhkhoi , It is a great contribution to few shot incremental object detection problem. I am trying to replicate the results that given in the paper. I am getting following issue.

1. While running train.sh file, I am getting the following error: FileNotFoundError: [Errno 2] No such file or directory: 'datasets/coco/trainval2014/COCO_train2014_000000089914.jpg' Could you please let me know why this is happening.

Thanks

Hello！When I run the bash finetuning.sh ,

## # For test all base + novel classes
python3 -m tools.ckpt_surgery --coco \
        --src1 checkpoints/coco/${network}/${network}_R_${arch}_FPN_base${suffix}/model_final.pth \
        --src2 checkpoints/coco/${network}/${network}_R_${arch}_FPN_ft_novel_${shot}shot${suffix}${suffix2}/model_final.pth \
        --method combine \
        --save-dir checkpoints/coco/${network}/${network}_R_${arch}_FPN_all_final_${shot}shot${suffix}${suffix2}
#

I got the error:

Traceback (most recent call last):
File "/home/ecust/1TSSD/anaconda3/envs/iFS-RCNN/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/ecust/1TSSD/anaconda3/envs/iFS-RCNN/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/ecust/1TSSD/ycf/iFS-RCNN/tools/ckpt_surgery.py", line 343, in
combine_ckpts(args)
File "/home/ecust/1TSSD/ycf/iFS-RCNN/tools/ckpt_surgery.py", line 140, in combine_ckpts
surgery_loop(args, surgery)
File "/home/ecust/1TSSD/ycf/iFS-RCNN/tools/ckpt_surgery.py", line 236, in surgery_loop
surgery(param_name, True, tar_size_dict[param_name], ckpt, ckpt2)
File "/home/ecust/1TSSD/ycf/iFS-RCNN/tools/ckpt_surgery.py", line 98, in surgery
pretrained_weight = ckpt['model'][weight_name_temp]
KeyError: 'roi_heads.mask_head.predictor.weight'

I want to know why it happened?

Hi anh Khoi,

Em có một vài thắc mắc:

1. Model này có phải training theo Meta learning không?

2. Topic này bao gồm few-shot learning. Nếu vậy thì "coco_trainval_novel_1shot" có phải là support set, còn "coco_test_novel" thì là query set phải không anh?
   E.g: config file:

  TRAIN: ('coco_trainval_novel_1shot',)
  TEST: ('coco_test_novel',)

3. Tại sao mình không sử dụng query set để train như trong bài này ạ? Feature Weighting and Boosting for Few-Shot Segmentation

Thanks anh.