when i use mask rcnn to detection,result is false

[nzmyaaa]

config_file='../../mmdetection/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py' #config_file='../../mmdetection/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_3x_coco.py' #config_file='../../mmdetection/configs/yolo/yolov3_d53_mstrain-416_273e_coco.py' checkpoint_file='../mmdetection/checkpoints/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco_bbox_mAP-0.408__segm_mAP-0.37_20200504_163245-42aa3d00.pth' #checkpoint_file='../mmdetection/checkpoints/faster_rcnn_r50_caffe_fpn_mstrain_3x_coco_20210526_095054-1f77628b.pth' model=init_detector(config_file,checkpoint_file,device='cuda:0') #in_folder='../mmdetection/rumor_images/' in_folder='../mmdetection/nonrumor_images/' #out_folder='../mmdetection/fenge_rumor_images/' #out_folder='../mmdetection/newsplit_rumor_images/' out_folder='../mmdetection/fengenonrumor_images/'

[jbwang1997]

Hello @nzmyaaa, could you provide the error report.

[nzmyaaa]

when i use the mmdetection to segment the instance image,my model is mask rcnn,and print the result,some result is false.

this is my code. import pickle

import torch from mmdet.apis import init_detector,inference_detector,show_result_pyplot import numpy as np import os import cv2 import random import mmcv from torch.utils.data import Dataset, DataLoader import argparse #import process_data_weibo as process_data import copy

config_file='../../mmdetection/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py' #config_file='../../mmdetection/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_3x_coco.py' #config_file='../../mmdetection/configs/yolo/yolov3_d53_mstrain-416_273e_coco.py' checkpoint_file='../mmdetection/checkpoints/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco_bbox_mAP-0.408__segm_mAP-0.37_20200504_163245-42aa3d00.pth' #checkpoint_file='../mmdetection/checkpoints/faster_rcnn_r50_caffe_fpn_mstrain_3x_coco_20210526_095054-1f77628b.pth' model=init_detector(config_file,checkpoint_file,device='cuda:0') #in_folder='../mmdetection/rumor_images/' in_folder='../mmdetection/nonrumor_images/' #out_folder='../mmdetection/fenge_rumor_images/' #out_folder='../mmdetection/newsplit_rumor_images/' out_folder='../mmdetection/fengenonrumor_images/'

results=[] leng=0 i=0

new fangfa

for image in os.listdir(in_folder): leng=leng+1 #print(image) print(leng)

for file_name in (os.listdir(in_folder)):

 img_path=os.path.join(in_folder,file_name)
 img=cv2.imread(img_path)
 #img=np.asarray(img)
 #print(img)
 #print(type(img))
 #print(img.shape)
 try:
    result=inference_detector(model,img)
    result=list(result)
    #result=torch.as_tensor(result)
    print(result)
    #print(type(result))
   # print(result.size())
    save_path=os.path.join(out_folder,file_name)
    model.show_result(img,result,out_file=save_path)
 #if(result.item()==False):
     #result=torch.ones_like(result.item())

    results.append(result)

result is: [False,False,False,,,,False],[],[],[]

can i know why the result is flase