Result of online_test on egogesture

[kinfeparty]

Hello! I debug the code and run the online_test.py on egogesture with your pretrained model successfully. However the final result is poor.

report/egogesture_resnext_101_Depth_32.pth, resnext, 1.0, Depth, 0.7691380349608198

Here is my parameter:

python online_test.py \ --root_path /Lun4/fdh/Real-time-GesRec \ --video_path ../egogesture-dataset/image \ --annotation_path annotation_EgoGesture/egogestureall.json \ --resume_path_det report/egogesture_resnetl_10_Depth_8.pth \ --resume_path_clf report/egogesture_resnext_101_Depth_32.pth \ --result_path results \ --dataset egogesture \ --sample_duration_det 8 \ --sample_duration_clf 32 \ --model_det resnetl \ --model_clf resnext \ --resnext_cardinality 32 \ --downsample 1 \ --model_depth_det 10 \ --width_mult_det 0.5 \ --model_depth_clf 101 \ --resnet_shortcut_det A \ --resnet_shortcut_clf B \ --batch_size 1 \ --n_classes_det 2 \ --n_finetune_classes_det 2 \ --n_classes_clf 83 \ --n_finetune_classes_clf 83 \ --n_threads 16 \ --checkpoint 1 \ --modality_det Depth \ --modality_clf Depth \ --n_val_samples 1 \ --train_crop random \ --test_subset test \ --det_strategy median \ --det_queue_size 4 \ --det_counter 2 \ --clf_strategy median \ --clf_queue_size 32 \ --clf_threshold_pre 1.0 \ --clf_threshold_final 0.15 \ --stride_len 1 \

Is there anything wrong?

[ahmetgunduz]

Hi, could you also provide pretrained paths for det and clf which is the same as resume path. In the first look, I do not see a problem but this may be because of a bug in loading the model.

[kinfeparty]

Hi, could you also provide pretrained paths for det and clf which is the same as resume path. In the first look, I do not see a problem but this may be because of a bug in loading the model.

Hello,but the online_test.py doesn't contain the model loading path of pretrained path. And the model loading of resume_path is successfully. Maybe some parameters should be modified? Such as det_counter?

[zhangyuan1994511]

@ahmetgunduz I also debug the code and run the online_test.py on egogesture with your pretrained model successfully. However the final result is poor.The same as @kinfeparty

[OOIIps]

@ahmetgunduz @kinfeparty I have poor result when evaluate testing dataset. Did you resolve this problem ?

[OOIIps]

@ahmetgunduz I use jester_resnext_101_RGB_32.pth