run_online_egogesture_wo_detector.sh

#!/bin/bash

# "$1" classıfıer resume path
# "$2" model_clf
# "$3" width_mult
# "$4" classıfıer modalıty
python online_test_wo_detector.py \
	--root_path ~/\
	--video_path datasets/EgoGesture \
	--annotation_path Efficient-3DCNNs-Ahmet/annotation_EgoGesture/egogestureall.json \
	--resume_path_clf "$1"  \
	--result_path Efficient-3DCNNs-Ahmet/results \
	--dataset egogesture    \
	--sample_duration_clf 32 \
	--model_clf "$2" \
	--model_depth_clf 101 \
	--width_mult_clf "$3" \
	--resnet_shortcut_clf B \
	--batch_size 1 \
	--n_classes_clf 84 \
	--n_finetune_classes_clf 84 \
	--n_threads 16 \
	--checkpoint 1 \
	--modality_clf "$4" \
	--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 16 \
	--clf_threshold_pre 1.0 \
	--clf_threshold_final 0.15 \
	--stride_len 1 \