import sys
import os
import random
import numpy as np
import shutil
sys.path.append("/home/shanwei-luo/userdata/mmdetection")
from mmdet.apis import (async_inference_detector, inference_detector,
                        init_detector, show_result_pyplot)

config_file_1 = '/home/shanwei-luo/userdata/mmdetection/work_dirs/AD_dsxw_test70/AD_dsxw_test70.py'
checkpoint_file_1 = '/home/shanwei-luo/userdata/mmdetection/work_dirs/AD_dsxw_test70/epoch_38.pth'

img_path = '/home/shanwei-luo/userdata/datasets/PCBA_dataset_v15_MLOPS/ok/'
dis_path = '/home/shanwei-luo/userdata/datasets/PCBA_dataset_v15_MLOPS/v3_finetune/dsxw_train/images/'


imgs = os.listdir(img_path)
imgs_name = []
for img in imgs:
    imgs_name.append(img_path+img)

np_result = np.load('/home/shanwei-luo/userdata/datasets/PCBA_dataset_v15_MLOPS/result.npy')
result_score = np_result.tolist()
for k_v in np.arange(0.05, 0.1, 0.005):
    count = 0
    index = 0
    k_v = 0.07
    for result in result_score:
        if result>=k_v:
            shutil.copy(img_path+imgs[index], dis_path+imgs[index])
            count +=1
            print(count)
        index += 1
    print(k_v, count)
    break
imgs = os.listdir(dis_path)
print(len(imgs))